{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Querying the Knowledge Base"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "Mf8yzagPiYUy"
      },
      "outputs": [],
      "source": [
        "import cytopus as cp\n",
        "import os"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MWtZsRD1iNbM"
      },
      "source": [
        "## Loading and exploring KnowledgeBase"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TYsovnxuhb2S",
        "outputId": "907efe8b-d861-4202-9780-2abcc50addbf"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "KnowledgeBase object containing 92 cell types and 201 cellular processes\n",
            "\n"
          ]
        }
      ],
      "source": [
        "G = cp.KnowledgeBase()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "53"
            ]
          },
          "execution_count": 3,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#number of cellular identity gene sets\n",
        "len(G.identities.keys())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {},
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Gene sets directly related to celltype M are: ['M_IL17A_response', 'M_mac_CSF1_response', 'M_angiogenic-effectors']\n"
          ]
        }
      ],
      "source": [
        "#get genesets for a specific celltype\n",
        "query_celltype = 'M'\n",
        "gs_of_interest = [x[0] for x in G.filter_edges(attribute_name = 'class', attributes = ['process_OF'],target=query_celltype) if x[1]==query_celltype]\n",
        "print('Gene sets directly related to celltype',query_celltype,'are:',gs_of_interest)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k_2D_0Irhb4q",
        "outputId": "2d1a3e97-9091-4f0f-8671-4acd52aa01e2"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['CD8-T_terminal-exhaustion',\n",
              " 'endo-arterial',\n",
              " 'ILC1',\n",
              " 'TCM',\n",
              " 'baso',\n",
              " 'T-naive',\n",
              " 'ILC',\n",
              " 'gran',\n",
              " 'cDC3',\n",
              " 'cDC',\n",
              " 'endo-lymphatic',\n",
              " 'ILC3-NCRpos',\n",
              " 'lung-endo-venous',\n",
              " 'Lti',\n",
              " 'CD8-TSCM',\n",
              " 'CD56dim-NK',\n",
              " 'neutro',\n",
              " 'lung-smooth-muscle',\n",
              " 'endo-systemic-venous',\n",
              " 'crc-carcinoma-cell',\n",
              " 'p-DC',\n",
              " 'B-memory-switched',\n",
              " 'all-cells',\n",
              " 'colon-epi',\n",
              " 'ILC3',\n",
              " 'CD4-TSCM',\n",
              " 'B-memory-non-switched',\n",
              " 'iNKT',\n",
              " 'capillary',\n",
              " 'CD4-TEM',\n",
              " 'GC-B',\n",
              " 'Mac',\n",
              " 'CD8-TCM',\n",
              " 'cDC1',\n",
              " 'B-naive',\n",
              " 'B-pb-mature',\n",
              " 'CD8-Teffector',\n",
              " 'CD8-T-progenitor-exhausted',\n",
              " 'TSCM',\n",
              " 'fibro',\n",
              " 'endo',\n",
              " 'T',\n",
              " 'DC',\n",
              " 'NSCLC-carcinoma-cell',\n",
              " 'B-pb-t2',\n",
              " 'B-memory',\n",
              " 'MAIT',\n",
              " 'plasma-blast',\n",
              " 'mono',\n",
              " 'Treg',\n",
              " 'MDC',\n",
              " 'CD8-TEM',\n",
              " 'M',\n",
              " 'eosino',\n",
              " 'NK-adaptive',\n",
              " 'B-memory-IgM-MZ',\n",
              " 'TFH',\n",
              " 'carcinoma-cell',\n",
              " 'CD8-T_KLRG1pos-effector',\n",
              " 'abT',\n",
              " 'c-mono',\n",
              " 'CD4-T',\n",
              " 'leukocyte',\n",
              " 'gdT',\n",
              " 'B',\n",
              " 'TEM',\n",
              " 'ILC3-NCRneg',\n",
              " 'TRM',\n",
              " 'CD4-TRM',\n",
              " 'CD8-TRM',\n",
              " 'B-memory-DN',\n",
              " 'endo-aerocyte',\n",
              " 'B-pb-t3',\n",
              " 'TNK',\n",
              " 'cDC2',\n",
              " 'mast',\n",
              " 'mo-DC',\n",
              " 'CD8-T',\n",
              " 'nc-mono',\n",
              " 'lung-epi',\n",
              " 'Langerhans',\n",
              " 'CD56bright-NK',\n",
              " 'B-pb-t1',\n",
              " 'NK',\n",
              " 'CD8-T_KLRG1neg-effector',\n",
              " 'epi',\n",
              " 'FDC',\n",
              " 'smooth-muscle',\n",
              " 'CD4-TCM',\n",
              " 'plasma',\n",
              " 'ILC2',\n",
              " 'CD4-Teffector']"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#list of all cell types in KnowledgeBase\n",
        "G.celltypes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "MZSNFKzblDoS",
        "outputId": "3ce0d2e9-c2f4-4889-e96f-b7426605e60a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "all celltypes in knowledge base: ['CD8-T_terminal-exhaustion', 'endo-arterial', 'ILC1', 'TCM', 'baso', 'T-naive', 'ILC', 'gran', 'cDC3', 'cDC', 'endo-lymphatic', 'ILC3-NCRpos', 'lung-endo-venous', 'Lti', 'CD8-TSCM', 'CD56dim-NK', 'neutro', 'lung-smooth-muscle', 'endo-systemic-venous', 'crc-carcinoma-cell', 'p-DC', 'B-memory-switched', 'all-cells', 'colon-epi', 'ILC3', 'CD4-TSCM', 'B-memory-non-switched', 'iNKT', 'capillary', 'CD4-TEM', 'GC-B', 'Mac', 'CD8-TCM', 'cDC1', 'B-naive', 'B-pb-mature', 'CD8-Teffector', 'CD8-T-progenitor-exhausted', 'TSCM', 'fibro', 'endo', 'T', 'DC', 'NSCLC-carcinoma-cell', 'B-pb-t2', 'B-memory', 'MAIT', 'plasma-blast', 'mono', 'Treg', 'MDC', 'CD8-TEM', 'M', 'eosino', 'NK-adaptive', 'B-memory-IgM-MZ', 'TFH', 'carcinoma-cell', 'CD8-T_KLRG1pos-effector', 'abT', 'c-mono', 'CD4-T', 'leukocyte', 'gdT', 'B', 'TEM', 'ILC3-NCRneg', 'TRM', 'CD4-TRM', 'CD8-TRM', 'B-memory-DN', 'endo-aerocyte', 'B-pb-t3', 'TNK', 'cDC2', 'mast', 'mo-DC', 'CD8-T', 'nc-mono', 'lung-epi', 'Langerhans', 'CD56bright-NK', 'B-pb-t1', 'NK', 'CD8-T_KLRG1neg-effector', 'epi', 'FDC', 'smooth-muscle', 'CD4-TCM', 'plasma', 'ILC2', 'CD4-Teffector']\n"
          ]
        },
        {
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            "text/plain": [
              "<Figure size 3000x3000 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "#plot the cell type hierarchy\n",
        "G.plot_celltypes()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "T5RsN8In1crr",
        "outputId": "6cbfbd43-b5da-4cf1-e090-10c8b5bb2db3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Warning: When  cdn_resources is 'local' jupyter notebook has issues displaying graphics on chrome/safari. Use cdn_resources='in_line' or cdn_resources='remote' if you have issues viewing graphics in a notebook.\n",
            "graph.html\n",
            "Graph saved to \"graph.html\". Open this file in your browser to view the interactive graph.\n"
          ]
        }
      ],
      "source": [
        "G.plot_graph_interactive(attributes=['cell_type','cellular_process'],colors= ['red','blue'], save_path = 'graph.html')\n",
        "print(f'Graph saved to \"graph.html\". Open this file in your browser to view the interactive graph.')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Pp0_0otghb6u",
        "outputId": "6b7b1623-c251-4b0c-d81c-a503f22f89ad"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['DC']"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#get parent in the hierarchy of specific cell type\n",
        "list(G.graph.successors('cDC')) #arrows are 'SUBSET_OF' not 'PARENT_OF' --> use successor to get parents"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Hf0Rgfo-hb82",
        "outputId": "62b0a775-8106-4da4-d3e4-a4a5bb66b074"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['cDC1', 'cDC2', 'cDC3']"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#get child in the hierarchy of a specific cell type\n",
        "list(G.graph.predecessors('cDC')) #arrows are 'SUBSET_OF' not 'PARENT_OF' --> use successor to get parents"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dict_keys(['TCM', 'Treg', 'T-naive', 'TSCM', 'ILC1', 'NK-adaptive', 'TEM', 'CD56bright-NK', 'CD8-T_KLRG1pos-effector', 'CD4-T', 'CD56dim-NK', 'TRM', 'Lti', 'ILC3-NCRpos', 'abT', 'TFH', 'CD8-T_KLRG1neg-effector', 'ILC3-NCRneg', 'ILC2', 'gdT', 'NK', 'CD8-T'])"
            ]
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#get cell type markers\n",
        "G.get_identities(['TNK'],include_subsets=True).keys()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8n4STSb4hb--",
        "outputId": "7b24494e-ecaf-4db0-ada6-5f14f4a7000c"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dict_keys(['all_chondroitine-and-heparan-sulfate_synthesis', 'all_retinol_metabolism', 'all_RIG-I-like-receptor_signaling', 'leuko_transendothelial-migration', 'all_propanoate_metabolism', 'NSCLC-carcinoma-cell_TGFB1_response', 'all_p53-signaling', 'all_autophagy-selective', 'all_circadian-rhythm', 'all_VAL-LEU-ILE_metabolism', 'M_IL17A_response', 'all_taurine-hypotaurine_metabolism', 'B_IgM-ligation_response', 'all_microautophagy-lysosomal', 'all_transmembrane-transport-ER', 'all_macroautophagy_regulation_positive', 'all_TYR_metabolism', 'all_SASP', 'all_histone-methylation', 'all_TNF-via-NFkB_signaling', 'all_iron-uptake-and-storage', 'all_n-glycan_synthesis', 'all_transmembrane-transport-golgi', 'all_PHE_metabolism', 'Treg_FoxP3-stabilization', 'all_riboflavin_metabolism', 'all_polyamines_metabolism', 'all_PI3K-AKT-mTOR_signaling', 'all_inositol-phosphate_metabolism', 'all_DNA-demethylation', 'fibro_IL4_response', 'all_wnt-beta-catenin-signaling', 'M_mac_CSF1_response', 'all_lactate_production', 'T_IL4_response', 'all_complement_production', 'all_n-glycan_degradation', 'all_porphyrine-heme_metabolism', 'all_glycogenesis', 'all_heparan-sulfate_degradation', 'all_creatinine_metabolism', 'all_GPI-anchor_synthesis', 'all_type-II-ifn-response', 'all_glycogenolysis', 'all_G2M-transition', 'B_Breg_UP', 'fibro_BMP4_response', 'all_IL6-JAK-STAT3_signaling', 'all_MHC-II-presentation', 'all_hypoxia-response', 'all_biotin_metabolism', 'all_autophagy-of-mitochondria', 'all_urea-cycle', 'all_pyrimidine_metabolism', 'all_actin-cytoskeleton_regulation', 'all_nucleotide_metabolism', 'all_LYS_metabolism', 'all_type-I-ifn-response', 'lung-epi_TGFB1_response', 'all_autophagy-peroxisome', 'all_galactose_metabolism', 'CD4-T_TH17_UP', 'all_citric-acid-cycle', 'all_ubiquinone_synthesis', 'fibro_EGF_response', 'all_hedgehog_signaling', 'M_angiogenic-effectors', 'all_autophagy-of-mitochondria_regulation_positive', 'T_tcr-activation', 'all_macroautophagy', 'CD8-T_terminal-exhaustion', 'all_lipophagy', 'all_steroid_metabolism', 'all_unfolded-protein-response', 'all_thiamin_metabolism', 'all_GLU_metabolism', 'all_Beta-Ala_metabolism', 'all_hyaluronan_metabolism', 'all_mitophagy_regulation_positive', 'all_exocytosis', 'lung-epi_IL13_response', 'CD4-T_IL4_response', 'all_CYS_metabolism', 'CD8-T_progenitor-exhaustion_UP', 'lung-smooth-muscle_TGFB1_response', 'all_DNA-methylation', 'mast_granule-exocytosis', 'all_platelet-activation-factor_production', 'all_pyroptosis', 'all_ARG-PRO_metabolism', 'all_pentose-phosphate-pathway', 'all_glyoxylate-dicarboxylate_metabolism', 'neutro_CXCL8_response', 'all_NOTCH_signaling', 'all_protein-degradation-proteasome', 'all_mTORC1_signaling', 'fibro_IGF1_response', 'all_glycerophospholipid_metabolism', 'all_JAK-STAT_signaling', 'all_DNA-repair', 'all_glutathione_metabolism', 'all_cholesterol-homeostasis', 'all_peroxisome-component', 'all_MET_metabolism', 'all_nucleophagy-late', 'CD4-T_TH2_UP', 'all_pyrimidine_synthesis', 'all_transmembrane-transport-lysosome', 'CD4-T_TH9_UP', 'all_MYC_targets', 'Mac_IFNG_response', 'all_mitophagy', 'all_autophagy_regulation_positive', 'all_sphingolipid_metabolism', 'lung-epi_IL4_response', 'endo_VEGFC_response', 'all_fatty-acid-metabolism', 'all_triacylglycerol_synthesis', 'all_thrombolysis-factor_production', 'CD4-T_TH22_UP', 'TNK_cytotoxicity-effectors', 'all_amino-sugar-nucleotide-sugar_metabolism', 'all_cyclic-nucleotide_metabolism', 'all_keratan-sulfate_synthesis', 'all_mitotic-spindle-component', 'all_chondroitine-sulfate_degradation', 'Mac_CSF1_response', 'all_fructose-mannose_metabolism', 'all_fatty-acid-beta-oxidation-peroxisomal', 'Mac_IL4-IL13_response', 'CD8-T_IL12_response', 'all_phosphoinositide_signaling', 'TNK_IL2-STAT5-signaling', 'Mac_LPS_response', 'all_autophagy-chaperone-mediated', 'all_ascorbate-uptake', 'all_ketone-body_metabolism', 'all_keratan-sulfate_degradation', 'all_autophagic-cell-death', 'all_GABA-shunt', 'B_effector-2_UP', 'all_reticulophagy', 'all_MHC-I-presentation', 'all_cholesterol_metabolism', 'all_apoptosis', 'all_autophagy-nucleus', 'all_ALA-ASP_metabolism', 'all_ROS-detoxification', 'all_xenobiotics_metabolism', 'all_purine_metabolism', 'DC_LPS_response', 'all_bile-acid_synthesis', 'all_CoA_synthesis', 'DC_antigen-crosspresentation', 'all_multidrug-resistance', 'all_osmotic-stress-response', 'all_HIS_metabolism', 'TNK_IL2_response', 'all_G1S-transition', 'all_pterin_synthesis', 'all_selenoamino-acid_metabolism', 'all_oxidative-phosphorylation', 'all_purine_synthesis', 'all_TRP_metabolism', 'CD8-T_tumor-reactive-like_UP', 'all_glycolysis', 'all_cytosolic-DNA-sensing_signaling', 'all_pyruvate_metabolism', 'endo_VEGFA_response', 'all_NAD_metabolism', 'all_coagulation-factor_production', 'all_TCA-cycle', 'all_ros_response', 'lung-epi_IL17A-IL22_response', 'all_transmembrane-transport-mitochondrial', 'all_o-glycan_synthesis', 'all_DNA_synthesis', 'fibro_IL13_response', 'all_glycerin-SER-THR_metabolism', 'fibro_IL1B_response', 'leuko_ROS_production', 'all_carnitine-shuttle', 'all_ethanol_metabolism', 'all_TGFb_response', 'B_effector-1_UP', 'TNK_PD-1_signaling', 'all_TLR_signaling', 'mast_mast-cell-granule-effectors', 'all_fatty-acid_synthesis', 'fibro_TGFB1_response', 'NK_IL15_response', 'all_folate_metabolism', 'all_CYP_metabolism', 'T_IL21_response', 'p-DC_CpG-TLR9_response', 'all_NOD-like-receptor_signaling', 'all_eicosanoid_metabolism', 'CD4-T_IL12_response', 'all_fatty-acid-beta-oxidation-mitochondrial', 'all_posttranslation-modification', 'all_transmembrane-transport-cellmembrane'])"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#dictionary of all cellular processes in KnowledgeBase as a dictionary {'process_1':['gene_a','gene_e','gene_y',...],'process_2':['gene_b','gene_u',...],...}\n",
        "G.processes.keys()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sy99zlcRhcBA",
        "outputId": "de6ab927-7646-471b-f624-9d63fa1cc2ce"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dict_keys(['TCM', 'Treg', 'T-naive', 'B-pb-t2', 'endo-lymphatic', 'TSCM', 'cDC1', 'ILC1', 'NK-adaptive', 'TEM', 'FDC', 'endo-systemic-venous', 'endo-aerocyte', 'CD56bright-NK', 'plasma-blast', 'CD8-T_KLRG1pos-effector', 'p-DC', 'mast', 'B-memory-DN', 'B-naive', 'CD4-T', 'B-pb-t3', 'B', 'B-pb-mature', 'Mac', 'gran', 'cDC2', 'CD56dim-NK', 'TRM', 'Lti', 'ILC3-NCRpos', 'abT', 'TFH', 'mono', 'CD8-T_KLRG1neg-effector', 'B-memory-IgM-MZ', 'cDC3', 'B-memory-switched', 'ILC3-NCRneg', 'Langerhans', 'mo-DC', 'endo-arterial', 'ILC2', 'plasma', 'B-pb-t1', 'lung-endo-venous', 'gdT', 'NK', 'capillary', 'CD8-T', 'B-memory', 'B-memory-non-switched', 'GC-B'])"
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "#dictionary of all cellular identities in KnowledgeBase as a dictionary {'identity_1':['gene_j','gene_k','gene_z',...],'identity_2':['gene_y','gene_p',...],...}\n",
        "G.identities.keys()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5AIYAPA2hcDO",
        "outputId": "52063e17-8ff8-44da-a23e-c9a1d51577f0"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Gene sets directly related to celltype Treg are: ['Treg_FoxP3-stabilization']\n"
          ]
        }
      ],
      "source": [
        "#get genesets for a specific celltype\n",
        "query_celltype = 'Treg'\n",
        "gs_of_interest = [x[0] for x in G.filter_edges(attribute_name = 'class', attributes = ['process_OF'],target=query_celltype) if x[1]==query_celltype]\n",
        "print('Gene sets directly related to celltype',query_celltype,'are:',gs_of_interest)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Uh66yKNrhcFe",
        "outputId": "302e7dca-b4a5-434a-fe6d-110db4a87a6f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "here external gene set from GO:\n",
            "{'version_id': 'v_hs209', 'author': 'GO Term 2019-01-01: 10.5281/zenodo.2529950_210828, 10.1038/75556,  10.1093/nar/gkaa1113', 'license': ' Creative Commons Attribution 4.0 Unported License', 'license_link': 'http://geneontology.org/docs/go-citation-policy/', 'license_type': 'c', 'gene_set_type': 'manual_external', 'gene_set_topic': 'cell_death_autophagy'}\n",
            "here manually curated gene set by the package author:\n",
            "{'version_id': 'v_hs230', 'author': 'wallet', 'license': 'MIT', 'license_link': 'https://github.com/wallet-maker/cytopus/blob/main/LICENSE', 'license_type': 'c', 'gene_set_type': 'bulk_curated', 'gene_set_topic': 'immune_cellular_response'}\n"
          ]
        }
      ],
      "source": [
        "#dictionary with gene set properties (for cellular processes or identities)\n",
        "\n",
        "print('here external gene set from GO:')\n",
        "print(G.graph.nodes['all_macroautophagy_regulation_positive'])\n",
        "\n",
        "print('here manually curated gene set by the package author:')\n",
        "print(G.graph.nodes['Mac_LPS_response'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "c8pQxMwOhcHj",
        "outputId": "e2e4b304-8f2f-4728-99a5-f411327fa576"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Gene sets directly related to celltype Treg are: ['Treg_FoxP3-stabilization']\n"
          ]
        }
      ],
      "source": [
        "#get genesets for a specific celltype\n",
        "query_celltype = 'Treg'\n",
        "gs_of_interest = [x[0] for x in G.filter_edges(attribute_name = 'class', attributes = ['process_OF'],target=query_celltype) if x[1]==query_celltype]\n",
        "print('Gene sets directly related to celltype',query_celltype,'are:',gs_of_interest)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "M3S7IAeH3Y72"
      },
      "source": [
        "## Create a dictionary for Spectra"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "7EBEW-WHhcMD"
      },
      "outputs": [],
      "source": [
        "#if necessary convert cell type names to names in the KnowledgeBase\n",
        "#e.g. B_GC would be the name for germinal center B cells in your data \n",
        "#but in the KnowledgeBase they are stored with a hyphon 'GC-B'\n",
        "\n",
        "conversion_dict = {'B_GC':'GC-B',\n",
        " 'B_memory':'B-memory',\n",
        " 'B_naive': 'B-naive',\n",
        " 'CD4_T':'CD4-T',\n",
        " 'CD8_T':'CD8-T',\n",
        " 'DC':'DC',\n",
        " 'ILC3':'ILC',\n",
        " 'MDC':'Mac',\n",
        " 'NK':'NK',\n",
        " 'Treg':'Treg',\n",
        " 'gdT':'gdT',\n",
        " 'mast':'mast',\n",
        " 'pDC':'p-DC',\n",
        " 'plasma':'plasma'}\n",
        "\n",
        "#to map KnowledgeBase labels back to labels in data\n",
        "conversion_dict_inv = {}\n",
        "for i,v in conversion_dict.items():\n",
        "    conversion_dict_inv[v]=i\n",
        "conversion_dict_inv['global'] = 'global'"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FvTj1SOL3cIi",
        "outputId": "e988c1a0-13a0-46a7-f13b-961baba27f6f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "cell types of interest share the following children: ['p-DC'] This may be desired.\n",
            "cell types of interest share the following parents: ['B', 'abT', 'DC', 'ILC', 'TNK', 'M'] This may be desired.\n"
          ]
        }
      ],
      "source": [
        "#define cell types to retrieve gene sets for\n",
        "celltype_of_interest = ['B_GC',\n",
        " 'B_memory',\n",
        " 'B_naive',\n",
        " 'CD4_T',\n",
        " 'CD8_T',\n",
        " 'DC',\n",
        " 'ILC3',\n",
        " 'MDC',\n",
        " 'NK',\n",
        " 'Treg',\n",
        " 'gdT',\n",
        " 'mast',\n",
        " 'pDC',\n",
        " 'plasma']\n",
        "global_celltypes = ['all-cells','leukocyte']\n",
        "\n",
        "celltype_of_interest = [conversion_dict[x] for x in celltype_of_interest]\n",
        "\n",
        "#you can retrieve gene sets linked to the parents and children of the queried gene sets above\n",
        "#you can define the query depth using a dictionary, for all cell types not defined in the dict the query depth of the \n",
        "#<parent_depth> parameter will be used (proceed equivalently for children using the <child_depth> and <child_depth_dict>\n",
        "#parameters)\n",
        "\n",
        "query_depth_parent = {'NK':2,'Treg':None,'DC':None} #e.g. removing the query for parent gene sets for Treg here because this would add the\n",
        "                                #T-helper polarization gene sets (TH1, TH2, TH22 etc)\n",
        "query_depth_child = {'CD4-T':None,'ILC':None}\n",
        "\n",
        "#retrieve dictionary for Spectra\n",
        "G.get_celltype_processes(celltype_of_interest,global_celltypes = global_celltypes,get_children=True,get_parents=True,\n",
        "                         child_depth=1,parent_depth=1,parent_depth_dict = query_depth_parent,\n",
        "                        child_depth_dict = query_depth_child)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "3BWf3npo3dVH"
      },
      "outputs": [],
      "source": [
        "#convert celltype labels back to celltypes in data\n",
        "Spectra_dict = {}\n",
        "\n",
        "for i,v in G.celltype_process_dict.items():\n",
        "    Spectra_dict[conversion_dict_inv[i]] = v"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ohyYBG6F3eqo",
        "outputId": "9a9f8b26-6f1b-4d1a-df2a-5b54e17bad49"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dict_keys(['B_GC', 'B_memory', 'B_naive', 'CD4_T', 'CD8_T', 'DC', 'ILC3', 'MDC', 'NK', 'Treg', 'gdT', 'mast', 'pDC', 'plasma', 'global'])"
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "Spectra_dict.keys()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "11fxdFpY3fqB",
        "outputId": "bcf1964c-f3cf-43e2-a002-3c5a9d54e505"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dict_keys(['CD4-T_TH17_UP', 'CD4-T_IL4_response', 'CD4-T_TH2_UP', 'CD4-T_TH9_UP', 'CD4-T_TH22_UP', 'CD4-T_IL12_response', 'T_IL4_response', 'T_tcr-activation', 'T_IL21_response'])"
            ]
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "Spectra_dict['CD4_T'].keys()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wGJCMC193l_Q"
      },
      "source": [
        "## Write dictionary to .json file"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-KKTfjZL3pAt",
        "outputId": "baa1f256-158f-45c6-f06b-083e3f7144f2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "saved data to: Spectra_dict.json\n"
          ]
        }
      ],
      "source": [
        "#store Spectra dictionary\n",
        "\n",
        "import json\n",
        "jpath = 'Spectra_dict.json'\n",
        "\n",
        "with open(jpath, 'w') as f:\n",
        "    json.dump(Spectra_dict,f)\n",
        "print('saved data to:',jpath)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "NHyCKAT13rZD"
      },
      "outputs": [],
      "source": [
        "#load Spectra dictionary\n",
        "\n",
        "import json\n",
        "jpath = 'Spectra_dict.json'\n",
        "f = open(jpath, 'r')\n",
        "Spectra_dict = json.loads(f.read())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {},
      "outputs": [
        {
          "data": {
            "text/plain": [
              "{'B_GC': {'B_IgM-ligation_response': ['INCENP',\n",
              "   'DCBLD2',\n",
              "   'AP1S2',\n",
              "   'LIG1',\n",
              "   'AURKB',\n",
              "   'CLIC4',\n",
              "   'STK33',\n",
              "   'AURKA',\n",
              "   'BTLA',\n",
              "   'NDC80',\n",
              "   'WDHD1',\n",
              "   'CDC25C',\n",
              "   'CPOX',\n",
              "   'KIF15',\n",
              "   'NFKB1',\n",
              "   'KIF4A',\n",
              "   'STMN1',\n",
              "   'ATAD5',\n",
              "   'CENPN',\n",
              "   'EIF3C',\n",
              "   'RACGAP1',\n",
              "   'SGO1',\n",
              "   'CBX5',\n",
              "   'TIPIN',\n",
              "   'CDK1',\n",
              "   'TIFAB',\n",
              "   'TTK',\n",
              "   'NCAPG',\n",
              "   'ATP11C',\n",
              "   'SPC25',\n",
              "   'GZMK',\n",
              "   'ASPM',\n",
              "   'HELLS',\n",
              "   'MIS18BP1',\n",
              "   'ECT2',\n",
              "   'APOBEC2',\n",
              "   'CENPE',\n",
              "   'SGO2',\n",
              "   'HMMR',\n",
              "   'PRR11',\n",
              "   'PLK1',\n",
              "   'DLGAP5',\n",
              "   'CCNA2',\n",
              "   'ZBP1',\n",
              "   'NCAPD2',\n",
              "   'RAD51',\n",
              "   'KIF11',\n",
              "   'MCM7',\n",
              "   'BRIP1',\n",
              "   'MCM3',\n",
              "   'PRC1',\n",
              "   'ROM1',\n",
              "   'KDM4A',\n",
              "   'CPT1A',\n",
              "   'CKS1B',\n",
              "   'CENPF',\n",
              "   'CDCA8',\n",
              "   'PRIM1',\n",
              "   'CEP55',\n",
              "   'POLE',\n",
              "   'TPX2',\n",
              "   'HMGB3',\n",
              "   'RAD51AP1',\n",
              "   'CDC45',\n",
              "   'TRAM1',\n",
              "   'FBXO5',\n",
              "   'KIF23',\n",
              "   'MKI67',\n",
              "   'CORO2A',\n",
              "   'VCP',\n",
              "   'CCNE1',\n",
              "   'HERC3',\n",
              "   'BRCA1',\n",
              "   'CHEK1',\n",
              "   'KIF14',\n",
              "   'NEIL3',\n",
              "   'NUF2',\n",
              "   'FKBP5',\n",
              "   'ESCO2',\n",
              "   'CCNB2',\n",
              "   'MYO5A',\n",
              "   'RRM2',\n",
              "   'BRCA2',\n",
              "   'EGR2',\n",
              "   'NR4A3',\n",
              "   'HNRNPUL1',\n",
              "   'CENPS',\n",
              "   'SPC24',\n",
              "   'USP6NL',\n",
              "   'RRM1',\n",
              "   'CLSPN',\n",
              "   'CDCA3',\n",
              "   'GPR183',\n",
              "   'CKAP2',\n",
              "   'BUB1',\n",
              "   'TOP2A',\n",
              "   'MAD2L1',\n",
              "   'CDKN3',\n",
              "   'FIGNL1',\n",
              "   'CXCR6',\n",
              "   'SPAG5',\n",
              "   'BIRC5',\n",
              "   'CALU',\n",
              "   'CENPH'],\n",
              "  'B_Breg_UP': ['TGFB1', 'IL10', 'IL12A', 'EBI3', 'TGFB2'],\n",
              "  'B_effector-2_UP': ['IL2', 'IL13', 'IL4', 'CSF2', 'IL6', 'IL10'],\n",
              "  'B_effector-1_UP': ['IL12B',\n",
              "   'IFNG',\n",
              "   'TNF',\n",
              "   'ITGAL',\n",
              "   'IL12A',\n",
              "   'IL10',\n",
              "   'TIMD4',\n",
              "   'FCGR3A',\n",
              "   'IL6']},\n",
              " 'B_memory': {'B_IgM-ligation_response': ['INCENP',\n",
              "   'DCBLD2',\n",
              "   'AP1S2',\n",
              "   'LIG1',\n",
              "   'AURKB',\n",
              "   'CLIC4',\n",
              "   'STK33',\n",
              "   'AURKA',\n",
              "   'BTLA',\n",
              "   'NDC80',\n",
              "   'WDHD1',\n",
              "   'CDC25C',\n",
              "   'CPOX',\n",
              "   'KIF15',\n",
              "   'NFKB1',\n",
              "   'KIF4A',\n",
              "   'STMN1',\n",
              "   'ATAD5',\n",
              "   'CENPN',\n",
              "   'EIF3C',\n",
              "   'RACGAP1',\n",
              "   'SGO1',\n",
              "   'CBX5',\n",
              "   'TIPIN',\n",
              "   'CDK1',\n",
              "   'TIFAB',\n",
              "   'TTK',\n",
              "   'NCAPG',\n",
              "   'ATP11C',\n",
              "   'SPC25',\n",
              "   'GZMK',\n",
              "   'ASPM',\n",
              "   'HELLS',\n",
              "   'MIS18BP1',\n",
              "   'ECT2',\n",
              "   'APOBEC2',\n",
              "   'CENPE',\n",
              "   'SGO2',\n",
              "   'HMMR',\n",
              "   'PRR11',\n",
              "   'PLK1',\n",
              "   'DLGAP5',\n",
              "   'CCNA2',\n",
              "   'ZBP1',\n",
              "   'NCAPD2',\n",
              "   'RAD51',\n",
              "   'KIF11',\n",
              "   'MCM7',\n",
              "   'BRIP1',\n",
              "   'MCM3',\n",
              "   'PRC1',\n",
              "   'ROM1',\n",
              "   'KDM4A',\n",
              "   'CPT1A',\n",
              "   'CKS1B',\n",
              "   'CENPF',\n",
              "   'CDCA8',\n",
              "   'PRIM1',\n",
              "   'CEP55',\n",
              "   'POLE',\n",
              "   'TPX2',\n",
              "   'HMGB3',\n",
              "   'RAD51AP1',\n",
              "   'CDC45',\n",
              "   'TRAM1',\n",
              "   'FBXO5',\n",
              "   'KIF23',\n",
              "   'MKI67',\n",
              "   'CORO2A',\n",
              "   'VCP',\n",
              "   'CCNE1',\n",
              "   'HERC3',\n",
              "   'BRCA1',\n",
              "   'CHEK1',\n",
              "   'KIF14',\n",
              "   'NEIL3',\n",
              "   'NUF2',\n",
              "   'FKBP5',\n",
              "   'ESCO2',\n",
              "   'CCNB2',\n",
              "   'MYO5A',\n",
              "   'RRM2',\n",
              "   'BRCA2',\n",
              "   'EGR2',\n",
              "   'NR4A3',\n",
              "   'HNRNPUL1',\n",
              "   'CENPS',\n",
              "   'SPC24',\n",
              "   'USP6NL',\n",
              "   'RRM1',\n",
              "   'CLSPN',\n",
              "   'CDCA3',\n",
              "   'GPR183',\n",
              "   'CKAP2',\n",
              "   'BUB1',\n",
              "   'TOP2A',\n",
              "   'MAD2L1',\n",
              "   'CDKN3',\n",
              "   'FIGNL1',\n",
              "   'CXCR6',\n",
              "   'SPAG5',\n",
              "   'BIRC5',\n",
              "   'CALU',\n",
              "   'CENPH'],\n",
              "  'B_Breg_UP': ['TGFB1', 'IL10', 'IL12A', 'EBI3', 'TGFB2'],\n",
              "  'B_effector-2_UP': ['IL2', 'IL13', 'IL4', 'CSF2', 'IL6', 'IL10'],\n",
              "  'B_effector-1_UP': ['IL12B',\n",
              "   'IFNG',\n",
              "   'TNF',\n",
              "   'ITGAL',\n",
              "   'IL12A',\n",
              "   'IL10',\n",
              "   'TIMD4',\n",
              "   'FCGR3A',\n",
              "   'IL6']},\n",
              " 'B_naive': {'B_IgM-ligation_response': ['INCENP',\n",
              "   'DCBLD2',\n",
              "   'AP1S2',\n",
              "   'LIG1',\n",
              "   'AURKB',\n",
              "   'CLIC4',\n",
              "   'STK33',\n",
              "   'AURKA',\n",
              "   'BTLA',\n",
              "   'NDC80',\n",
              "   'WDHD1',\n",
              "   'CDC25C',\n",
              "   'CPOX',\n",
              "   'KIF15',\n",
              "   'NFKB1',\n",
              "   'KIF4A',\n",
              "   'STMN1',\n",
              "   'ATAD5',\n",
              "   'CENPN',\n",
              "   'EIF3C',\n",
              "   'RACGAP1',\n",
              "   'SGO1',\n",
              "   'CBX5',\n",
              "   'TIPIN',\n",
              "   'CDK1',\n",
              "   'TIFAB',\n",
              "   'TTK',\n",
              "   'NCAPG',\n",
              "   'ATP11C',\n",
              "   'SPC25',\n",
              "   'GZMK',\n",
              "   'ASPM',\n",
              "   'HELLS',\n",
              "   'MIS18BP1',\n",
              "   'ECT2',\n",
              "   'APOBEC2',\n",
              "   'CENPE',\n",
              "   'SGO2',\n",
              "   'HMMR',\n",
              "   'PRR11',\n",
              "   'PLK1',\n",
              "   'DLGAP5',\n",
              "   'CCNA2',\n",
              "   'ZBP1',\n",
              "   'NCAPD2',\n",
              "   'RAD51',\n",
              "   'KIF11',\n",
              "   'MCM7',\n",
              "   'BRIP1',\n",
              "   'MCM3',\n",
              "   'PRC1',\n",
              "   'ROM1',\n",
              "   'KDM4A',\n",
              "   'CPT1A',\n",
              "   'CKS1B',\n",
              "   'CENPF',\n",
              "   'CDCA8',\n",
              "   'PRIM1',\n",
              "   'CEP55',\n",
              "   'POLE',\n",
              "   'TPX2',\n",
              "   'HMGB3',\n",
              "   'RAD51AP1',\n",
              "   'CDC45',\n",
              "   'TRAM1',\n",
              "   'FBXO5',\n",
              "   'KIF23',\n",
              "   'MKI67',\n",
              "   'CORO2A',\n",
              "   'VCP',\n",
              "   'CCNE1',\n",
              "   'HERC3',\n",
              "   'BRCA1',\n",
              "   'CHEK1',\n",
              "   'KIF14',\n",
              "   'NEIL3',\n",
              "   'NUF2',\n",
              "   'FKBP5',\n",
              "   'ESCO2',\n",
              "   'CCNB2',\n",
              "   'MYO5A',\n",
              "   'RRM2',\n",
              "   'BRCA2',\n",
              "   'EGR2',\n",
              "   'NR4A3',\n",
              "   'HNRNPUL1',\n",
              "   'CENPS',\n",
              "   'SPC24',\n",
              "   'USP6NL',\n",
              "   'RRM1',\n",
              "   'CLSPN',\n",
              "   'CDCA3',\n",
              "   'GPR183',\n",
              "   'CKAP2',\n",
              "   'BUB1',\n",
              "   'TOP2A',\n",
              "   'MAD2L1',\n",
              "   'CDKN3',\n",
              "   'FIGNL1',\n",
              "   'CXCR6',\n",
              "   'SPAG5',\n",
              "   'BIRC5',\n",
              "   'CALU',\n",
              "   'CENPH'],\n",
              "  'B_Breg_UP': ['TGFB1', 'IL10', 'IL12A', 'EBI3', 'TGFB2'],\n",
              "  'B_effector-2_UP': ['IL2', 'IL13', 'IL4', 'CSF2', 'IL6', 'IL10'],\n",
              "  'B_effector-1_UP': ['IL12B',\n",
              "   'IFNG',\n",
              "   'TNF',\n",
              "   'ITGAL',\n",
              "   'IL12A',\n",
              "   'IL10',\n",
              "   'TIMD4',\n",
              "   'FCGR3A',\n",
              "   'IL6']},\n",
              " 'CD4_T': {'CD4-T_TH17_UP': ['CXCL8',\n",
              "   'IL17A',\n",
              "   'IL17F',\n",
              "   'IL1R1',\n",
              "   'KLRB1',\n",
              "   'RORC',\n",
              "   'CCR6',\n",
              "   'IL12RB1',\n",
              "   'IL13RA1',\n",
              "   'IL12RB2',\n",
              "   'IL21',\n",
              "   'IL23R',\n",
              "   'IL17B',\n",
              "   'IL22',\n",
              "   'STAT3',\n",
              "   'IL26',\n",
              "   'IL6'],\n",
              "  'CD4-T_IL4_response': ['SOAT2',\n",
              "   'PRICKLE3',\n",
              "   'CLU',\n",
              "   'PI4K2B',\n",
              "   'STX3',\n",
              "   'YAE1',\n",
              "   'CYB561D2',\n",
              "   'NSMCE2',\n",
              "   'NDUFV3',\n",
              "   'AHNAK2',\n",
              "   'ARID5A',\n",
              "   'ECSCR',\n",
              "   'TGFBI',\n",
              "   'CXCL10'],\n",
              "  'CD4-T_TH2_UP': ['IL5',\n",
              "   'IL4',\n",
              "   'HAVCR1',\n",
              "   'GATA3',\n",
              "   'IL13',\n",
              "   'PTGDR2',\n",
              "   'IL17RB',\n",
              "   'IL31',\n",
              "   'IL33',\n",
              "   'IL9',\n",
              "   'STAT6',\n",
              "   'IL25'],\n",
              "  'CD4-T_TH9_UP': ['STAT6',\n",
              "   'GATA3',\n",
              "   'SPI1',\n",
              "   'RELA',\n",
              "   'NOTCH1',\n",
              "   'NFATC1',\n",
              "   'IL9',\n",
              "   'RBPJ',\n",
              "   'STAT3',\n",
              "   'IL10'],\n",
              "  'CD4-T_TH22_UP': ['PDGFRA',\n",
              "   'TNF',\n",
              "   'CCR10',\n",
              "   'IL22',\n",
              "   'PDGFRB',\n",
              "   'IL13',\n",
              "   'GZMB'],\n",
              "  'CD4-T_IL12_response': ['ACVR1B',\n",
              "   'RHOG',\n",
              "   'UPF3A',\n",
              "   'LCP1',\n",
              "   'PLXNB2',\n",
              "   'SLC6A12',\n",
              "   'ZNF516',\n",
              "   'STK40',\n",
              "   'PDE6D',\n",
              "   'SLC38A2',\n",
              "   'PRKDC',\n",
              "   'LMO2',\n",
              "   'MIA2'],\n",
              "  'T_IL4_response': ['GATA3',\n",
              "   'LIMA1',\n",
              "   'SPINT2',\n",
              "   'CCL17',\n",
              "   'IL17RB',\n",
              "   'GPR183',\n",
              "   'KRT1',\n",
              "   'FN1',\n",
              "   'CCL18'],\n",
              "  'T_tcr-activation': ['JAG1',\n",
              "   'ALCAM',\n",
              "   'LTA',\n",
              "   'CCL3',\n",
              "   'CCL4',\n",
              "   'FOSL1',\n",
              "   'PIM3',\n",
              "   'TNFRSF4',\n",
              "   'TGFB1',\n",
              "   'FURIN',\n",
              "   'SULT2B1',\n",
              "   'IL17A',\n",
              "   'CD160',\n",
              "   'GADD45G',\n",
              "   'IL3',\n",
              "   'CCL1',\n",
              "   'CCR8',\n",
              "   'TNFSF14',\n",
              "   'ATF3',\n",
              "   'IL17F',\n",
              "   'LCK',\n",
              "   'CD8B',\n",
              "   'NFATC2',\n",
              "   'NFATC1',\n",
              "   'CISH',\n",
              "   'PTGER2',\n",
              "   'TNFSF11',\n",
              "   'TNFRSF21',\n",
              "   'SYP',\n",
              "   'SLC7A1',\n",
              "   'NKG7',\n",
              "   'CRABP2',\n",
              "   'SEMA7A',\n",
              "   'IER3',\n",
              "   'SLC16A1',\n",
              "   'IL13',\n",
              "   'RGS16',\n",
              "   'NEK6',\n",
              "   'CSF2',\n",
              "   'IL4',\n",
              "   'TNFSF8',\n",
              "   'ZBTB32',\n",
              "   'FOSL2',\n",
              "   'HAVCR2',\n",
              "   'GFI1',\n",
              "   'IL10',\n",
              "   'FOSB',\n",
              "   'IFNG',\n",
              "   'EGR1',\n",
              "   'TNFRSF9',\n",
              "   'IL21',\n",
              "   'UTF1',\n",
              "   'MFSD2A',\n",
              "   'IL24',\n",
              "   'IL15RA',\n",
              "   'NR4A3',\n",
              "   'MIR193A',\n",
              "   'CD40LG',\n",
              "   'RELA',\n",
              "   'BCAT1',\n",
              "   'XCL1',\n",
              "   'STAT5A',\n",
              "   'ALPL',\n",
              "   'IL5',\n",
              "   'MAFF',\n",
              "   'IL2'],\n",
              "  'T_IL21_response': ['IFITM3',\n",
              "   'NECAP2',\n",
              "   'CCL13',\n",
              "   'CXCL2',\n",
              "   'PMEPA1',\n",
              "   'TNIP1',\n",
              "   'STING1',\n",
              "   'CA13',\n",
              "   'TNFAIP2']},\n",
              " 'CD8_T': {'CD8-T_terminal-exhaustion': ['TOX',\n",
              "   'LAG3',\n",
              "   'PDCD1',\n",
              "   'HAVCR2',\n",
              "   'EOMES',\n",
              "   'ID2',\n",
              "   'CD244',\n",
              "   'NR4A3',\n",
              "   'NR4A2',\n",
              "   'NR4A1',\n",
              "   'CXCL13',\n",
              "   'IRF4',\n",
              "   'PRDM1'],\n",
              "  'CD8-T_progenitor-exhaustion_UP': ['BCL2',\n",
              "   'CD200',\n",
              "   'ID3',\n",
              "   'CXCR3',\n",
              "   'LAG3',\n",
              "   'ICOS',\n",
              "   'BCL6',\n",
              "   'XCR1',\n",
              "   'CXCR5',\n",
              "   'HNF1A',\n",
              "   'SLAMF6',\n",
              "   'TOX',\n",
              "   'PDCD1',\n",
              "   'GZMK',\n",
              "   'TBX21'],\n",
              "  'CD8-T_IL12_response': ['NUTF2',\n",
              "   'HAO2',\n",
              "   'SOX4',\n",
              "   'IL6R',\n",
              "   'RERE',\n",
              "   'GZMA',\n",
              "   'COPA',\n",
              "   'GSTT2B',\n",
              "   'IREB2',\n",
              "   'IRF9',\n",
              "   'SLMAP',\n",
              "   'CLTB',\n",
              "   'RCVRN',\n",
              "   'LEPROT',\n",
              "   'ICAM2',\n",
              "   'NR1D2',\n",
              "   'DNAJA1',\n",
              "   'MAT2B',\n",
              "   'MSL2',\n",
              "   'GABBR1',\n",
              "   'MFSD14A',\n",
              "   'COL6A2',\n",
              "   'MAP1LC3A',\n",
              "   'B4GALNT1',\n",
              "   'TPT1',\n",
              "   'ROCK1',\n",
              "   'S100PBP',\n",
              "   'MRPS14',\n",
              "   'SLC4A2',\n",
              "   'CFH',\n",
              "   'RACK1',\n",
              "   'SEC11C',\n",
              "   'HMGB2',\n",
              "   'IKBKB',\n",
              "   'KIF3C',\n",
              "   'KLHL21',\n",
              "   'IVNS1ABP',\n",
              "   'TCF7',\n",
              "   'ANLN',\n",
              "   'METTL17',\n",
              "   'NEDD4L',\n",
              "   'MBTD1',\n",
              "   'SLC22A1',\n",
              "   'IFIT2',\n",
              "   'GLMP',\n",
              "   'BRD7',\n",
              "   'PI4K2A',\n",
              "   'FBXO38',\n",
              "   'RIPOR2',\n",
              "   'NFE2',\n",
              "   'CMPK2',\n",
              "   'ADORA1',\n",
              "   'SIAH1',\n",
              "   'LITAF',\n",
              "   'SAYSD1',\n",
              "   'ABRACL',\n",
              "   'IQGAP2',\n",
              "   'TCN2',\n",
              "   'ARID3B',\n",
              "   'IL16',\n",
              "   'RAB33B',\n",
              "   'CFI',\n",
              "   'MRPS21',\n",
              "   'TYSND1',\n",
              "   'BTRC',\n",
              "   'PROS1',\n",
              "   'ACKR3',\n",
              "   'FRMD8',\n",
              "   'RAE1',\n",
              "   'ADRB2',\n",
              "   'SCMH1',\n",
              "   'SEPTIN4',\n",
              "   'POLR2F',\n",
              "   'USP2',\n",
              "   'RBM4B',\n",
              "   'STAT5A',\n",
              "   'DENND2B',\n",
              "   'RBBP4',\n",
              "   'DNAJC9',\n",
              "   'CBR1',\n",
              "   'DVL1',\n",
              "   'DAO',\n",
              "   'CD14',\n",
              "   'SPATA13',\n",
              "   'FIP1L1',\n",
              "   'HNRNPC',\n",
              "   'SLC39A4',\n",
              "   'LGALS9B',\n",
              "   'AP1B1',\n",
              "   'E2F5',\n",
              "   'INTS8',\n",
              "   'NSMCE1',\n",
              "   'GGPS1',\n",
              "   'BSDC1',\n",
              "   'NRTN',\n",
              "   'LMX1B',\n",
              "   'SPINK4',\n",
              "   'RIOX2',\n",
              "   'INSM1',\n",
              "   'ATP9A',\n",
              "   'MAP4K3',\n",
              "   'RETREG2',\n",
              "   'GALK2',\n",
              "   'FRAT1',\n",
              "   'OGFOD2',\n",
              "   'SEPHS2',\n",
              "   'ATF2',\n",
              "   'GRPEL2',\n",
              "   'TLE4',\n",
              "   'MPHOSPH10',\n",
              "   'KMT2E',\n",
              "   'PTPN18',\n",
              "   'ULK2',\n",
              "   'CTSC',\n",
              "   'CCNDBP1',\n",
              "   'SEC11A',\n",
              "   'CWC22',\n",
              "   'ASF1B',\n",
              "   'CD1D',\n",
              "   'SH3GL1',\n",
              "   'IFIH1',\n",
              "   'CD79B',\n",
              "   'EMP3',\n",
              "   'ZBTB20',\n",
              "   'PCBD2',\n",
              "   'DNAJB4',\n",
              "   'MAST2',\n",
              "   'HDAC1',\n",
              "   'PSAP',\n",
              "   'MOV10',\n",
              "   'RECK',\n",
              "   'KLF2',\n",
              "   'CRP',\n",
              "   'POLG',\n",
              "   'TXNDC12',\n",
              "   'ATP5PF',\n",
              "   'MTARC2',\n",
              "   'DIAPH1',\n",
              "   'GABPA',\n",
              "   'DEK',\n",
              "   'RUNX1T1',\n",
              "   'ERCC2',\n",
              "   'NCOA2',\n",
              "   'SEPTIN10',\n",
              "   'ADGRL1',\n",
              "   'RPL12',\n",
              "   'IMPA1',\n",
              "   'TNNC2',\n",
              "   'GSTT2',\n",
              "   'BRWD3',\n",
              "   'ABCG1',\n",
              "   'FOSB',\n",
              "   'RP9',\n",
              "   'CANT1',\n",
              "   'PHF1',\n",
              "   'NUSAP1',\n",
              "   'ANKRD13A',\n",
              "   'RPA3'],\n",
              "  'CD8-T_tumor-reactive-like_UP': ['MKI67',\n",
              "   'TNFRSF9',\n",
              "   'TNFRSF18',\n",
              "   'GZMA',\n",
              "   'IFNG',\n",
              "   'ENTPD1',\n",
              "   'ITGAE',\n",
              "   'CXCL13'],\n",
              "  'T_IL4_response': ['GATA3',\n",
              "   'LIMA1',\n",
              "   'SPINT2',\n",
              "   'CCL17',\n",
              "   'IL17RB',\n",
              "   'GPR183',\n",
              "   'KRT1',\n",
              "   'FN1',\n",
              "   'CCL18'],\n",
              "  'T_tcr-activation': ['JAG1',\n",
              "   'ALCAM',\n",
              "   'LTA',\n",
              "   'CCL3',\n",
              "   'CCL4',\n",
              "   'FOSL1',\n",
              "   'PIM3',\n",
              "   'TNFRSF4',\n",
              "   'TGFB1',\n",
              "   'FURIN',\n",
              "   'SULT2B1',\n",
              "   'IL17A',\n",
              "   'CD160',\n",
              "   'GADD45G',\n",
              "   'IL3',\n",
              "   'CCL1',\n",
              "   'CCR8',\n",
              "   'TNFSF14',\n",
              "   'ATF3',\n",
              "   'IL17F',\n",
              "   'LCK',\n",
              "   'CD8B',\n",
              "   'NFATC2',\n",
              "   'NFATC1',\n",
              "   'CISH',\n",
              "   'PTGER2',\n",
              "   'TNFSF11',\n",
              "   'TNFRSF21',\n",
              "   'SYP',\n",
              "   'SLC7A1',\n",
              "   'NKG7',\n",
              "   'CRABP2',\n",
              "   'SEMA7A',\n",
              "   'IER3',\n",
              "   'SLC16A1',\n",
              "   'IL13',\n",
              "   'RGS16',\n",
              "   'NEK6',\n",
              "   'CSF2',\n",
              "   'IL4',\n",
              "   'TNFSF8',\n",
              "   'ZBTB32',\n",
              "   'FOSL2',\n",
              "   'HAVCR2',\n",
              "   'GFI1',\n",
              "   'IL10',\n",
              "   'FOSB',\n",
              "   'IFNG',\n",
              "   'EGR1',\n",
              "   'TNFRSF9',\n",
              "   'IL21',\n",
              "   'UTF1',\n",
              "   'MFSD2A',\n",
              "   'IL24',\n",
              "   'IL15RA',\n",
              "   'NR4A3',\n",
              "   'MIR193A',\n",
              "   'CD40LG',\n",
              "   'RELA',\n",
              "   'BCAT1',\n",
              "   'XCL1',\n",
              "   'STAT5A',\n",
              "   'ALPL',\n",
              "   'IL5',\n",
              "   'MAFF',\n",
              "   'IL2'],\n",
              "  'T_IL21_response': ['IFITM3',\n",
              "   'NECAP2',\n",
              "   'CCL13',\n",
              "   'CXCL2',\n",
              "   'PMEPA1',\n",
              "   'TNIP1',\n",
              "   'STING1',\n",
              "   'CA13',\n",
              "   'TNFAIP2']},\n",
              " 'DC': {'DC_LPS_response': ['NCAPH',\n",
              "   'SLC46A2',\n",
              "   'PDK3',\n",
              "   'PARVG',\n",
              "   'ELP2',\n",
              "   'ASTE1',\n",
              "   'HHEX',\n",
              "   'PTPN4',\n",
              "   'ENO2',\n",
              "   'CEMIP2',\n",
              "   'ACADS',\n",
              "   'TAGAP',\n",
              "   'CLEC10A',\n",
              "   'MYO1F',\n",
              "   'NSMF',\n",
              "   'NAXE',\n",
              "   'CYTH4',\n",
              "   'INKA2',\n",
              "   'PARP3',\n",
              "   'SYNRG',\n",
              "   'ENTPD1',\n",
              "   'PLCD1',\n",
              "   'OPN3',\n",
              "   'PRMT3',\n",
              "   'VCL',\n",
              "   'FN3KRP',\n",
              "   'THYN1',\n",
              "   'ATP9A',\n",
              "   'IMPA2',\n",
              "   'GNPDA1',\n",
              "   'KLK8',\n",
              "   'KCTD7',\n",
              "   'CACNA2D4',\n",
              "   'CLMN',\n",
              "   'PTBP1',\n",
              "   'SLC26A2',\n",
              "   'RPL13A',\n",
              "   'CHCHD7',\n",
              "   'MERTK',\n",
              "   'CPQ',\n",
              "   'ZFP69',\n",
              "   'FEV',\n",
              "   'BRD3',\n",
              "   'CIITA',\n",
              "   'FOXQ1',\n",
              "   'ZNF641',\n",
              "   'TAF4B',\n",
              "   'CD1C',\n",
              "   'ARHGAP39',\n",
              "   'LYRM7',\n",
              "   'SLC18A2',\n",
              "   'ZNF398',\n",
              "   'MGAT5'],\n",
              "  'DC_antigen-crosspresentation': ['MRC1',\n",
              "   'SEC61A2',\n",
              "   'SEC61A1',\n",
              "   'IFI30',\n",
              "   'SEC61G',\n",
              "   'VCP',\n",
              "   'CTSS',\n",
              "   'CYBB',\n",
              "   'SEC61B',\n",
              "   'TFEB',\n",
              "   'RAB27A'],\n",
              "  'p-DC_CpG-TLR9_response': ['TCF7',\n",
              "   'RNF145',\n",
              "   'SGK1',\n",
              "   'OTULINL',\n",
              "   'ZAP70',\n",
              "   'HMGB2',\n",
              "   'ID2']},\n",
              " 'ILC3': {'TNK_cytotoxicity-effectors': ['LAMP1',\n",
              "   'GZMH',\n",
              "   'GZMA',\n",
              "   'GZMB',\n",
              "   'FGFBP2',\n",
              "   'FASLG',\n",
              "   'GZMK',\n",
              "   'GZMM',\n",
              "   'PRF1',\n",
              "   'STXBP2',\n",
              "   'NKG7',\n",
              "   'LAMP2',\n",
              "   'TNFSF10',\n",
              "   'GNLY'],\n",
              "  'TNK_IL2-STAT5-signaling': ['ANXA4',\n",
              "   'ITGAV',\n",
              "   'BMP2',\n",
              "   'AGER',\n",
              "   'MYO1E',\n",
              "   'ABCB1',\n",
              "   'ALCAM',\n",
              "   'DCPS',\n",
              "   'AMACR',\n",
              "   'TNFSF10',\n",
              "   'IL1RL1',\n",
              "   'TNFRSF4',\n",
              "   'GABARAPL1',\n",
              "   'CCND3',\n",
              "   'NT5E',\n",
              "   'ADAM19',\n",
              "   'GPR83',\n",
              "   'PLPP1',\n",
              "   'EMP1',\n",
              "   'PDCD2L',\n",
              "   'CISH',\n",
              "   'NFKBIZ',\n",
              "   'EEF1AKMT1',\n",
              "   'PLEC',\n",
              "   'CKAP4',\n",
              "   'FGL2',\n",
              "   'CTSZ',\n",
              "   'IL2RA',\n",
              "   'SPRED2',\n",
              "   'MYC',\n",
              "   'AHNAK',\n",
              "   'POU2F1',\n",
              "   'MAP3K8',\n",
              "   'MUC1',\n",
              "   'IL10',\n",
              "   'NFIL3',\n",
              "   'DENND5A',\n",
              "   'PRNP',\n",
              "   'AHR',\n",
              "   'CD83',\n",
              "   'IKZF2',\n",
              "   'NRP1',\n",
              "   'CCR4',\n",
              "   'UCK2',\n",
              "   'S100A1',\n",
              "   'CAPN3',\n",
              "   'GSTO1',\n",
              "   'SLC39A8',\n",
              "   'GUCY1B1',\n",
              "   'IL3RA',\n",
              "   'SELL',\n",
              "   'MAFF',\n",
              "   'NDRG1',\n",
              "   'P4HA1',\n",
              "   'SOCS2',\n",
              "   'CD44',\n",
              "   'SPRY4',\n",
              "   'KLF6',\n",
              "   'ICOS',\n",
              "   'XBP1',\n",
              "   'SLC2A3',\n",
              "   'MYO1C',\n",
              "   'GLIPR2',\n",
              "   'GPR65',\n",
              "   'CASP3',\n",
              "   'CD48',\n",
              "   'DRC1',\n",
              "   'IL10RA',\n",
              "   'BCL2',\n",
              "   'LRRC8C',\n",
              "   'HOPX',\n",
              "   'APLP1',\n",
              "   'MXD1',\n",
              "   'CDKN1C',\n",
              "   'CCNE1',\n",
              "   'ETFBKMT',\n",
              "   'HIPK2',\n",
              "   'GALM',\n",
              "   'IL1R2',\n",
              "   'GBP4',\n",
              "   'SWAP70',\n",
              "   'CDC6',\n",
              "   'CD86',\n",
              "   'IKZF4',\n",
              "   'SERPINC1',\n",
              "   'RHOB',\n",
              "   'PRAF2',\n",
              "   'BMPR2',\n",
              "   'PUS1',\n",
              "   'WLS',\n",
              "   'TLR7',\n",
              "   'GATA1',\n",
              "   'SH3BGRL2',\n",
              "   'IGF2R',\n",
              "   'FAM126B',\n",
              "   'F2RL2',\n",
              "   'SMPDL3A',\n",
              "   'IRF6',\n",
              "   'ENPP1',\n",
              "   'SPP1',\n",
              "   'ENO3',\n",
              "   'RHOH',\n",
              "   'TTC39B',\n",
              "   'ITGAE',\n",
              "   'RORA',\n",
              "   'CST7',\n",
              "   'TNFRSF9',\n",
              "   'IFITM3',\n",
              "   'ECM1',\n",
              "   'LRIG1',\n",
              "   'ST3GAL4',\n",
              "   'COL6A1',\n",
              "   'NCS1',\n",
              "   'CCND2',\n",
              "   'CD81',\n",
              "   'CXCL10',\n",
              "   'TNFRSF18',\n",
              "   'IL13',\n",
              "   'RNH1',\n",
              "   'TWSG1',\n",
              "   'BATF',\n",
              "   'UMPS',\n",
              "   'PLSCR1',\n",
              "   'PLIN2',\n",
              "   'IL4R',\n",
              "   'RRAGD',\n",
              "   'MAP6',\n",
              "   'SLC29A2',\n",
              "   'IRF4',\n",
              "   'CSF2',\n",
              "   'TGM2',\n",
              "   'SLC1A5',\n",
              "   'CA2',\n",
              "   'TNFSF11',\n",
              "   'IL2RG',\n",
              "   'PTGER2',\n",
              "   'FURIN',\n",
              "   'PHLDA1',\n",
              "   'RABGAP1L',\n",
              "   'IFNGR1',\n",
              "   'GADD45B',\n",
              "   'BHLHE40-AS1',\n",
              "   'ODC1',\n",
              "   'TIAM1',\n",
              "   'NCOA3',\n",
              "   'ETV4',\n",
              "   'ITIH5',\n",
              "   'P2RX4',\n",
              "   'NOP2',\n",
              "   'IGF1R',\n",
              "   'COCH',\n",
              "   'PIM1',\n",
              "   'BATF3',\n",
              "   'HUWE1',\n",
              "   'SNX9',\n",
              "   'ARL4A',\n",
              "   'SYNGR2',\n",
              "   'SCN9A',\n",
              "   'PNP',\n",
              "   'ITGA6',\n",
              "   'IL18R1',\n",
              "   'TRAF1',\n",
              "   'LTB',\n",
              "   'TNFRSF8',\n",
              "   'PTCH1',\n",
              "   'BCL2L1',\n",
              "   'AHCY',\n",
              "   'CTLA4',\n",
              "   'SOCS1',\n",
              "   'LIF',\n",
              "   'MAPKAPK2',\n",
              "   'CDC42SE2',\n",
              "   'PRKCH',\n",
              "   'CYFIP1',\n",
              "   'HK2',\n",
              "   'PENK',\n",
              "   'SYT11',\n",
              "   'FLT3LG',\n",
              "   'SHE',\n",
              "   'SELP',\n",
              "   'PLAGL1',\n",
              "   'PTRH2',\n",
              "   'CAPG',\n",
              "   'EOMES',\n",
              "   'GPX4',\n",
              "   'RGS16',\n",
              "   'TNFRSF1B',\n",
              "   'FAH',\n",
              "   'PHTF2',\n",
              "   'TNFRSF21',\n",
              "   'DHRS3',\n",
              "   'IL2RB',\n",
              "   'PTH1R',\n",
              "   'LCLAT1',\n",
              "   'CSF1',\n",
              "   'SNX14',\n",
              "   'IRF8',\n",
              "   'SERPINB6'],\n",
              "  'TNK_IL2_response': ['GSTA4',\n",
              "   'NFKBIZ',\n",
              "   'PLAGL2',\n",
              "   'TNFRSF8',\n",
              "   'GPR137B',\n",
              "   'HES1',\n",
              "   'PIK3AP1',\n",
              "   'H2BC5',\n",
              "   'VDR',\n",
              "   'SEMA4C',\n",
              "   'TNFRSF1B',\n",
              "   'PRIM1',\n",
              "   'SLC44A2',\n",
              "   'PLAC8',\n",
              "   'FECH',\n",
              "   'SLC4A8',\n",
              "   'NANP',\n",
              "   'SOCS3',\n",
              "   'HAS1'],\n",
              "  'TNK_PD-1_signaling': ['ANXA2',\n",
              "   'APOL6',\n",
              "   'CIC',\n",
              "   'LAX1',\n",
              "   'SLA',\n",
              "   'COMMD3',\n",
              "   'CCR1',\n",
              "   'PTPRO',\n",
              "   'HMGCS1',\n",
              "   'TESPA1',\n",
              "   'BTN3A2',\n",
              "   'BATF',\n",
              "   'GRB2',\n",
              "   'IRF9',\n",
              "   'LCP2',\n",
              "   'GBP1',\n",
              "   'FBXW7',\n",
              "   'IL10RB',\n",
              "   'ANXA1',\n",
              "   'NT5E',\n",
              "   'SH2D2A',\n",
              "   'CD28',\n",
              "   'RHOH',\n",
              "   'DOK2',\n",
              "   'ITM2A']},\n",
              " 'MDC': {'Mac_IFNG_response': ['TNFAIP3',\n",
              "   'SOCS3',\n",
              "   'IL23A',\n",
              "   'IL1B',\n",
              "   'IL1A',\n",
              "   'CCL1',\n",
              "   'PELI1',\n",
              "   'CCL11',\n",
              "   'MARCO',\n",
              "   'CSF3',\n",
              "   'IFNGR2',\n",
              "   'CSF2',\n",
              "   'NFKBIZ',\n",
              "   'NOS2',\n",
              "   'CXCL2',\n",
              "   'IL12B',\n",
              "   'IL6',\n",
              "   'CXCL13',\n",
              "   'IFNGR1',\n",
              "   'IL12A',\n",
              "   'IL27'],\n",
              "  'Mac_CSF1_response': ['ANKHD1',\n",
              "   'TLR7',\n",
              "   'MMUT',\n",
              "   'PHOSPHO2',\n",
              "   'UBE2D3',\n",
              "   'CMPK1',\n",
              "   'DUS1L',\n",
              "   'C4orf33',\n",
              "   'EFCAB14',\n",
              "   'MID1',\n",
              "   'EXOSC1',\n",
              "   'SS18L2',\n",
              "   'YIPF5',\n",
              "   'KATNBL1',\n",
              "   'RNASE6',\n",
              "   'RPL39L',\n",
              "   'TEX30'],\n",
              "  'Mac_IL4-IL13_response': ['ARG1',\n",
              "   'PPARG',\n",
              "   'SOCS2',\n",
              "   'RNASE2',\n",
              "   'IL4R',\n",
              "   'MRC1',\n",
              "   'PPARD',\n",
              "   'IL13RA1',\n",
              "   'CLEC10A',\n",
              "   'CLEC7A',\n",
              "   'NR2F6',\n",
              "   'CCL8',\n",
              "   'CDH1',\n",
              "   'IRF4',\n",
              "   'CCL22',\n",
              "   'CCL24',\n",
              "   'PDCD1LG2',\n",
              "   'CCL17'],\n",
              "  'Mac_LPS_response': ['EFCAB1',\n",
              "   'C8G',\n",
              "   'TMEM140',\n",
              "   'OGFOD2',\n",
              "   'MRPL18',\n",
              "   'RHEBL1',\n",
              "   'ZNF124',\n",
              "   'MBLAC2',\n",
              "   'HASPIN',\n",
              "   'FANCF',\n",
              "   'CPT1A',\n",
              "   'CPXM2',\n",
              "   'EFNB1',\n",
              "   'TMED6',\n",
              "   'SBSN',\n",
              "   'ZRANB2',\n",
              "   'ATMIN',\n",
              "   'BVES',\n",
              "   'MEGF11',\n",
              "   'KCNC3',\n",
              "   'GALR2',\n",
              "   'TMX2',\n",
              "   'SLC1A6',\n",
              "   'INPP5B',\n",
              "   'C12orf49',\n",
              "   'FGF9',\n",
              "   'LRRC45',\n",
              "   'E2F2',\n",
              "   'CERK',\n",
              "   'TCEAL8',\n",
              "   'NEK9',\n",
              "   'TTC14',\n",
              "   'ACP6',\n",
              "   'CDC14B',\n",
              "   'ZNF623',\n",
              "   'TUSC1',\n",
              "   'ABCD4',\n",
              "   'HAGH',\n",
              "   'PLCB2',\n",
              "   'ZNF322',\n",
              "   'THYN1',\n",
              "   'TMED4',\n",
              "   'TXNIP',\n",
              "   'PCED1B',\n",
              "   'AP5S1',\n",
              "   'ERH',\n",
              "   'PLEKHG3',\n",
              "   'DOCK7',\n",
              "   'PGLS',\n",
              "   'AIMP2',\n",
              "   'LEFTY2',\n",
              "   'PITHD1',\n",
              "   'LEPROTL1',\n",
              "   'SPC24',\n",
              "   'MIXL1',\n",
              "   'HSPD1',\n",
              "   'GDI1',\n",
              "   'ZFP90',\n",
              "   'ZDBF2',\n",
              "   'OBI1',\n",
              "   'TOR4A',\n",
              "   'KIAA0513',\n",
              "   'ATP4B',\n",
              "   'TRIM65',\n",
              "   'BBS2',\n",
              "   'PRMT7',\n",
              "   'WDR75',\n",
              "   'SLC16A2',\n",
              "   'ZNF770',\n",
              "   'MMD',\n",
              "   'ERI2',\n",
              "   'ORC2',\n",
              "   'YBX1',\n",
              "   'USP30'],\n",
              "  'M_IL17A_response': ['CXCL3',\n",
              "   'IFNG',\n",
              "   'IL9',\n",
              "   'IL1B',\n",
              "   'IL12A',\n",
              "   'IL12B',\n",
              "   'CCL3',\n",
              "   'CSF2'],\n",
              "  'M_mac_CSF1_response': ['APOC1',\n",
              "   'CEP55',\n",
              "   'DHCR7',\n",
              "   'FASN',\n",
              "   'MMP9',\n",
              "   'ACP2',\n",
              "   'DAB2',\n",
              "   'DRAM1',\n",
              "   'C1QB',\n",
              "   'PLTP',\n",
              "   'CCND1',\n",
              "   'ZFYVE26',\n",
              "   'PLXNA1',\n",
              "   'RAD51AP1',\n",
              "   'QPRT',\n",
              "   'GPR137B',\n",
              "   'NR1H3',\n",
              "   'RAB3IL1',\n",
              "   'JAKMIP2',\n",
              "   'CD59',\n",
              "   'ITGB5',\n",
              "   'PLPP3',\n",
              "   'SNX24',\n",
              "   'NPL',\n",
              "   'IDH1',\n",
              "   'NPC1',\n",
              "   'RARRES1',\n",
              "   'GNPDA1',\n",
              "   'OPTN',\n",
              "   'HAMP',\n",
              "   'AL049629.2',\n",
              "   'MARCO',\n",
              "   'RRAGD',\n",
              "   'MELK',\n",
              "   'TSPAN4',\n",
              "   'ALDH7A1',\n",
              "   'MAPK13',\n",
              "   'MS4A4A',\n",
              "   'ENOSF1',\n",
              "   'ACOT13',\n",
              "   'CTSK',\n",
              "   'LGMN',\n",
              "   'TOP2A',\n",
              "   'SLC38A6',\n",
              "   'SCD',\n",
              "   'SPP1',\n",
              "   'SQLE',\n",
              "   'SLC7A8',\n",
              "   'PLAU',\n",
              "   'BCAT1',\n",
              "   'NRP1',\n",
              "   'COLEC12',\n",
              "   'SLC2A5',\n",
              "   'ACP5',\n",
              "   'GPNMB',\n",
              "   'CYB5A',\n",
              "   'PEBP1',\n",
              "   'DHCR24',\n",
              "   'PLA2G15',\n",
              "   'FUCA1',\n",
              "   'C3AR1',\n",
              "   'PPARG',\n",
              "   'TYMS',\n",
              "   'HADH',\n",
              "   'ETV5',\n",
              "   'VAT1',\n",
              "   'PTPRM',\n",
              "   'CTSL',\n",
              "   'SLC39A8',\n",
              "   'MSR1',\n",
              "   'ECM1',\n",
              "   'EPAS1',\n",
              "   'A2M',\n",
              "   'RGL1',\n",
              "   'MAF',\n",
              "   'VSIG4',\n",
              "   'SLC47A1',\n",
              "   'ADAMDEC1',\n",
              "   'HSD17B14',\n",
              "   'DENND2D',\n",
              "   'APOE',\n",
              "   'LILRB5',\n",
              "   'MGLL',\n",
              "   'HACD3',\n",
              "   'RNASE1',\n",
              "   'LIMA1',\n",
              "   'FRMD4A',\n",
              "   'ACAT2',\n",
              "   'CCL2'],\n",
              "  'M_angiogenic-effectors': ['CXCL8',\n",
              "   'SEMA4D',\n",
              "   'ADM',\n",
              "   'PLAU',\n",
              "   'TYMP',\n",
              "   'ANGPT1',\n",
              "   'FGF1',\n",
              "   'VEGFD',\n",
              "   'VEGFC',\n",
              "   'VEGFB',\n",
              "   'PDGFD',\n",
              "   'PDGFC',\n",
              "   'PDGFB',\n",
              "   'JAG2',\n",
              "   'PDGFA',\n",
              "   'JAG1',\n",
              "   'TGFB1',\n",
              "   'RTN3',\n",
              "   'MMP7',\n",
              "   'POSTN',\n",
              "   'MMP9',\n",
              "   'TEK',\n",
              "   'THBS1',\n",
              "   'PF4',\n",
              "   'STC2',\n",
              "   'STC1',\n",
              "   'ANGPT2',\n",
              "   'ENG',\n",
              "   'CCL2',\n",
              "   'FGF2',\n",
              "   'VEGFA']},\n",
              " 'NK': {'NK_IL15_response': ['XCL1',\n",
              "   'IER3',\n",
              "   'FLT3LG',\n",
              "   'DTL',\n",
              "   'PPIF',\n",
              "   'NOP16',\n",
              "   'CCND2',\n",
              "   'LAPTM4B',\n",
              "   'APOO',\n",
              "   'SLC2A3',\n",
              "   'PFAS',\n",
              "   'STX11',\n",
              "   'FEN1',\n",
              "   'ENO1',\n",
              "   'FAH',\n",
              "   'MFHAS1',\n",
              "   'BYSL',\n",
              "   'BCL2L1',\n",
              "   'HSPH1',\n",
              "   'MAPKAPK3',\n",
              "   'IRF8',\n",
              "   'CCL4',\n",
              "   'DCTPP1',\n",
              "   'SQLE',\n",
              "   'DPP4',\n",
              "   'SDF2L1',\n",
              "   'NCR3',\n",
              "   'GINS2',\n",
              "   'TNFSF14',\n",
              "   'UPP1',\n",
              "   'C1QBP',\n",
              "   'SHMT2',\n",
              "   'GMNN',\n",
              "   'CALR',\n",
              "   'ATF4',\n",
              "   'DHCR7',\n",
              "   'MCM2',\n",
              "   'HYOU1',\n",
              "   'ADAMTS1',\n",
              "   'TIPIN',\n",
              "   'VLDLR',\n",
              "   'LDLR',\n",
              "   'TNFSF10',\n",
              "   'AHR',\n",
              "   'SCD',\n",
              "   'SLC16A1',\n",
              "   'SLC39A14',\n",
              "   'MMD',\n",
              "   'HMGCS1',\n",
              "   'RRS1',\n",
              "   'SNX10',\n",
              "   'CHEK1',\n",
              "   'CXCL9',\n",
              "   'CD69',\n",
              "   'NQO1',\n",
              "   'PKM',\n",
              "   'CHAC1',\n",
              "   'HSPD1',\n",
              "   'CCR1',\n",
              "   'STIP1',\n",
              "   'MSMO1',\n",
              "   'BCL2',\n",
              "   'ADAM19',\n",
              "   'GPI',\n",
              "   'LTB',\n",
              "   'SLC27A2',\n",
              "   'EHD4',\n",
              "   'PRDX4',\n",
              "   'HSPA13',\n",
              "   'XBP1',\n",
              "   'IL2RA',\n",
              "   'GINS1',\n",
              "   'METTL1',\n",
              "   'OAS3',\n",
              "   'PMAIP1',\n",
              "   'CDKN1A',\n",
              "   'STX3',\n",
              "   'MCM6',\n",
              "   'STK17B',\n",
              "   'HNRNPAB',\n",
              "   'IFNG',\n",
              "   'MYBBP1A',\n",
              "   'TNFRSF12A',\n",
              "   'CDK6',\n",
              "   'MRTO4',\n",
              "   'EGR1',\n",
              "   'SLC1A5',\n",
              "   'SLC1A4',\n",
              "   'PGK1',\n",
              "   'PFKP',\n",
              "   'IVNS1ABP',\n",
              "   'PRNP',\n",
              "   'ICAM1',\n",
              "   'MAGOHB',\n",
              "   'C3orf18',\n",
              "   'PSAT1',\n",
              "   'TNF',\n",
              "   'TMEM97',\n",
              "   'OSM',\n",
              "   'CISH',\n",
              "   'LTA',\n",
              "   'SOCS1',\n",
              "   'EGR2',\n",
              "   'SLC16A6',\n",
              "   'GBP1',\n",
              "   'BHLHE40',\n",
              "   'CREM',\n",
              "   'CSF2',\n",
              "   'ELOVL6',\n",
              "   'SOCS2',\n",
              "   'MYC',\n",
              "   'SLC7A5',\n",
              "   'HSP90AB1',\n",
              "   'PAICS',\n",
              "   'TPM4',\n",
              "   'DHCR24',\n",
              "   'MCM4',\n",
              "   'YES1',\n",
              "   'TM6SF1',\n",
              "   'BATF3',\n",
              "   'HSPA5',\n",
              "   'PTGER2',\n",
              "   'MANF',\n",
              "   'DDX21',\n",
              "   'TRPM2',\n",
              "   'HTATSF1',\n",
              "   'DUSP6',\n",
              "   'TUBA4A',\n",
              "   'DUSP5',\n",
              "   'PRDX1',\n",
              "   'GZMB',\n",
              "   'PDIA4',\n",
              "   'CDC6',\n",
              "   'BPGM',\n",
              "   'CTPS1',\n",
              "   'NEDD9',\n",
              "   'LIF',\n",
              "   'SLC7A1',\n",
              "   'LRP8',\n",
              "   'TXN',\n",
              "   'WDR43',\n",
              "   'SFXN1',\n",
              "   'PPRC1',\n",
              "   'PIM1',\n",
              "   'CDC45',\n",
              "   'LDHA',\n",
              "   'MTHFD2'],\n",
              "  'TNK_cytotoxicity-effectors': ['LAMP1',\n",
              "   'GZMH',\n",
              "   'GZMA',\n",
              "   'GZMB',\n",
              "   'FGFBP2',\n",
              "   'FASLG',\n",
              "   'GZMK',\n",
              "   'GZMM',\n",
              "   'PRF1',\n",
              "   'STXBP2',\n",
              "   'NKG7',\n",
              "   'LAMP2',\n",
              "   'TNFSF10',\n",
              "   'GNLY'],\n",
              "  'TNK_IL2-STAT5-signaling': ['ANXA4',\n",
              "   'ITGAV',\n",
              "   'BMP2',\n",
              "   'AGER',\n",
              "   'MYO1E',\n",
              "   'ABCB1',\n",
              "   'ALCAM',\n",
              "   'DCPS',\n",
              "   'AMACR',\n",
              "   'TNFSF10',\n",
              "   'IL1RL1',\n",
              "   'TNFRSF4',\n",
              "   'GABARAPL1',\n",
              "   'CCND3',\n",
              "   'NT5E',\n",
              "   'ADAM19',\n",
              "   'GPR83',\n",
              "   'PLPP1',\n",
              "   'EMP1',\n",
              "   'PDCD2L',\n",
              "   'CISH',\n",
              "   'NFKBIZ',\n",
              "   'EEF1AKMT1',\n",
              "   'PLEC',\n",
              "   'CKAP4',\n",
              "   'FGL2',\n",
              "   'CTSZ',\n",
              "   'IL2RA',\n",
              "   'SPRED2',\n",
              "   'MYC',\n",
              "   'AHNAK',\n",
              "   'POU2F1',\n",
              "   'MAP3K8',\n",
              "   'MUC1',\n",
              "   'IL10',\n",
              "   'NFIL3',\n",
              "   'DENND5A',\n",
              "   'PRNP',\n",
              "   'AHR',\n",
              "   'CD83',\n",
              "   'IKZF2',\n",
              "   'NRP1',\n",
              "   'CCR4',\n",
              "   'UCK2',\n",
              "   'S100A1',\n",
              "   'CAPN3',\n",
              "   'GSTO1',\n",
              "   'SLC39A8',\n",
              "   'GUCY1B1',\n",
              "   'IL3RA',\n",
              "   'SELL',\n",
              "   'MAFF',\n",
              "   'NDRG1',\n",
              "   'P4HA1',\n",
              "   'SOCS2',\n",
              "   'CD44',\n",
              "   'SPRY4',\n",
              "   'KLF6',\n",
              "   'ICOS',\n",
              "   'XBP1',\n",
              "   'SLC2A3',\n",
              "   'MYO1C',\n",
              "   'GLIPR2',\n",
              "   'GPR65',\n",
              "   'CASP3',\n",
              "   'CD48',\n",
              "   'DRC1',\n",
              "   'IL10RA',\n",
              "   'BCL2',\n",
              "   'LRRC8C',\n",
              "   'HOPX',\n",
              "   'APLP1',\n",
              "   'MXD1',\n",
              "   'CDKN1C',\n",
              "   'CCNE1',\n",
              "   'ETFBKMT',\n",
              "   'HIPK2',\n",
              "   'GALM',\n",
              "   'IL1R2',\n",
              "   'GBP4',\n",
              "   'SWAP70',\n",
              "   'CDC6',\n",
              "   'CD86',\n",
              "   'IKZF4',\n",
              "   'SERPINC1',\n",
              "   'RHOB',\n",
              "   'PRAF2',\n",
              "   'BMPR2',\n",
              "   'PUS1',\n",
              "   'WLS',\n",
              "   'TLR7',\n",
              "   'GATA1',\n",
              "   'SH3BGRL2',\n",
              "   'IGF2R',\n",
              "   'FAM126B',\n",
              "   'F2RL2',\n",
              "   'SMPDL3A',\n",
              "   'IRF6',\n",
              "   'ENPP1',\n",
              "   'SPP1',\n",
              "   'ENO3',\n",
              "   'RHOH',\n",
              "   'TTC39B',\n",
              "   'ITGAE',\n",
              "   'RORA',\n",
              "   'CST7',\n",
              "   'TNFRSF9',\n",
              "   'IFITM3',\n",
              "   'ECM1',\n",
              "   'LRIG1',\n",
              "   'ST3GAL4',\n",
              "   'COL6A1',\n",
              "   'NCS1',\n",
              "   'CCND2',\n",
              "   'CD81',\n",
              "   'CXCL10',\n",
              "   'TNFRSF18',\n",
              "   'IL13',\n",
              "   'RNH1',\n",
              "   'TWSG1',\n",
              "   'BATF',\n",
              "   'UMPS',\n",
              "   'PLSCR1',\n",
              "   'PLIN2',\n",
              "   'IL4R',\n",
              "   'RRAGD',\n",
              "   'MAP6',\n",
              "   'SLC29A2',\n",
              "   'IRF4',\n",
              "   'CSF2',\n",
              "   'TGM2',\n",
              "   'SLC1A5',\n",
              "   'CA2',\n",
              "   'TNFSF11',\n",
              "   'IL2RG',\n",
              "   'PTGER2',\n",
              "   'FURIN',\n",
              "   'PHLDA1',\n",
              "   'RABGAP1L',\n",
              "   'IFNGR1',\n",
              "   'GADD45B',\n",
              "   'BHLHE40-AS1',\n",
              "   'ODC1',\n",
              "   'TIAM1',\n",
              "   'NCOA3',\n",
              "   'ETV4',\n",
              "   'ITIH5',\n",
              "   'P2RX4',\n",
              "   'NOP2',\n",
              "   'IGF1R',\n",
              "   'COCH',\n",
              "   'PIM1',\n",
              "   'BATF3',\n",
              "   'HUWE1',\n",
              "   'SNX9',\n",
              "   'ARL4A',\n",
              "   'SYNGR2',\n",
              "   'SCN9A',\n",
              "   'PNP',\n",
              "   'ITGA6',\n",
              "   'IL18R1',\n",
              "   'TRAF1',\n",
              "   'LTB',\n",
              "   'TNFRSF8',\n",
              "   'PTCH1',\n",
              "   'BCL2L1',\n",
              "   'AHCY',\n",
              "   'CTLA4',\n",
              "   'SOCS1',\n",
              "   'LIF',\n",
              "   'MAPKAPK2',\n",
              "   'CDC42SE2',\n",
              "   'PRKCH',\n",
              "   'CYFIP1',\n",
              "   'HK2',\n",
              "   'PENK',\n",
              "   'SYT11',\n",
              "   'FLT3LG',\n",
              "   'SHE',\n",
              "   'SELP',\n",
              "   'PLAGL1',\n",
              "   'PTRH2',\n",
              "   'CAPG',\n",
              "   'EOMES',\n",
              "   'GPX4',\n",
              "   'RGS16',\n",
              "   'TNFRSF1B',\n",
              "   'FAH',\n",
              "   'PHTF2',\n",
              "   'TNFRSF21',\n",
              "   'DHRS3',\n",
              "   'IL2RB',\n",
              "   'PTH1R',\n",
              "   'LCLAT1',\n",
              "   'CSF1',\n",
              "   'SNX14',\n",
              "   'IRF8',\n",
              "   'SERPINB6'],\n",
              "  'TNK_IL2_response': ['GSTA4',\n",
              "   'NFKBIZ',\n",
              "   'PLAGL2',\n",
              "   'TNFRSF8',\n",
              "   'GPR137B',\n",
              "   'HES1',\n",
              "   'PIK3AP1',\n",
              "   'H2BC5',\n",
              "   'VDR',\n",
              "   'SEMA4C',\n",
              "   'TNFRSF1B',\n",
              "   'PRIM1',\n",
              "   'SLC44A2',\n",
              "   'PLAC8',\n",
              "   'FECH',\n",
              "   'SLC4A8',\n",
              "   'NANP',\n",
              "   'SOCS3',\n",
              "   'HAS1'],\n",
              "  'TNK_PD-1_signaling': ['ANXA2',\n",
              "   'APOL6',\n",
              "   'CIC',\n",
              "   'LAX1',\n",
              "   'SLA',\n",
              "   'COMMD3',\n",
              "   'CCR1',\n",
              "   'PTPRO',\n",
              "   'HMGCS1',\n",
              "   'TESPA1',\n",
              "   'BTN3A2',\n",
              "   'BATF',\n",
              "   'GRB2',\n",
              "   'IRF9',\n",
              "   'LCP2',\n",
              "   'GBP1',\n",
              "   'FBXW7',\n",
              "   'IL10RB',\n",
              "   'ANXA1',\n",
              "   'NT5E',\n",
              "   'SH2D2A',\n",
              "   'CD28',\n",
              "   'RHOH',\n",
              "   'DOK2',\n",
              "   'ITM2A']},\n",
              " 'Treg': {'Treg_FoxP3-stabilization': ['NFATC1',\n",
              "   'ATF1',\n",
              "   'CREB1',\n",
              "   'NFATC2',\n",
              "   'STAT5A',\n",
              "   'SMAD3',\n",
              "   'STAT5B',\n",
              "   'ETS1',\n",
              "   'TGFBR1',\n",
              "   'IL2RA',\n",
              "   'IL2RG',\n",
              "   'TGFBR2',\n",
              "   'IL2RB']},\n",
              " 'gdT': {},\n",
              " 'mast': {'mast_granule-exocytosis': ['VAMP8',\n",
              "   'SNAP23',\n",
              "   'LYN',\n",
              "   'PLA2G3',\n",
              "   'BTK',\n",
              "   'VAMP7',\n",
              "   'SNX4'],\n",
              "  'mast_mast-cell-granule-effectors': ['CPA3',\n",
              "   'CTSB',\n",
              "   'CASP3',\n",
              "   'REN',\n",
              "   'CTSL',\n",
              "   'CMA1',\n",
              "   'IL4',\n",
              "   'TNF',\n",
              "   'CLEC11A',\n",
              "   'VEGFA',\n",
              "   'IL15',\n",
              "   'TH',\n",
              "   'PRG2',\n",
              "   'CAMP',\n",
              "   'SCG3',\n",
              "   'MMP9',\n",
              "   'CTSD',\n",
              "   'ARSA',\n",
              "   'TPH1',\n",
              "   'GZMB',\n",
              "   'IL6',\n",
              "   'CHGA',\n",
              "   'HEXB',\n",
              "   'NGF',\n",
              "   'SRGN',\n",
              "   'HDC',\n",
              "   'CTSE',\n",
              "   'FGF2',\n",
              "   'CTSC',\n",
              "   'ADAMTS5',\n",
              "   'TGFB1',\n",
              "   'GUSB',\n",
              "   'TPH2',\n",
              "   'IL5',\n",
              "   'HPSE'],\n",
              "  'M_IL17A_response': ['CXCL3',\n",
              "   'IFNG',\n",
              "   'IL9',\n",
              "   'IL1B',\n",
              "   'IL12A',\n",
              "   'IL12B',\n",
              "   'CCL3',\n",
              "   'CSF2'],\n",
              "  'M_mac_CSF1_response': ['APOC1',\n",
              "   'CEP55',\n",
              "   'DHCR7',\n",
              "   'FASN',\n",
              "   'MMP9',\n",
              "   'ACP2',\n",
              "   'DAB2',\n",
              "   'DRAM1',\n",
              "   'C1QB',\n",
              "   'PLTP',\n",
              "   'CCND1',\n",
              "   'ZFYVE26',\n",
              "   'PLXNA1',\n",
              "   'RAD51AP1',\n",
              "   'QPRT',\n",
              "   'GPR137B',\n",
              "   'NR1H3',\n",
              "   'RAB3IL1',\n",
              "   'JAKMIP2',\n",
              "   'CD59',\n",
              "   'ITGB5',\n",
              "   'PLPP3',\n",
              "   'SNX24',\n",
              "   'NPL',\n",
              "   'IDH1',\n",
              "   'NPC1',\n",
              "   'RARRES1',\n",
              "   'GNPDA1',\n",
              "   'OPTN',\n",
              "   'HAMP',\n",
              "   'AL049629.2',\n",
              "   'MARCO',\n",
              "   'RRAGD',\n",
              "   'MELK',\n",
              "   'TSPAN4',\n",
              "   'ALDH7A1',\n",
              "   'MAPK13',\n",
              "   'MS4A4A',\n",
              "   'ENOSF1',\n",
              "   'ACOT13',\n",
              "   'CTSK',\n",
              "   'LGMN',\n",
              "   'TOP2A',\n",
              "   'SLC38A6',\n",
              "   'SCD',\n",
              "   'SPP1',\n",
              "   'SQLE',\n",
              "   'SLC7A8',\n",
              "   'PLAU',\n",
              "   'BCAT1',\n",
              "   'NRP1',\n",
              "   'COLEC12',\n",
              "   'SLC2A5',\n",
              "   'ACP5',\n",
              "   'GPNMB',\n",
              "   'CYB5A',\n",
              "   'PEBP1',\n",
              "   'DHCR24',\n",
              "   'PLA2G15',\n",
              "   'FUCA1',\n",
              "   'C3AR1',\n",
              "   'PPARG',\n",
              "   'TYMS',\n",
              "   'HADH',\n",
              "   'ETV5',\n",
              "   'VAT1',\n",
              "   'PTPRM',\n",
              "   'CTSL',\n",
              "   'SLC39A8',\n",
              "   'MSR1',\n",
              "   'ECM1',\n",
              "   'EPAS1',\n",
              "   'A2M',\n",
              "   'RGL1',\n",
              "   'MAF',\n",
              "   'VSIG4',\n",
              "   'SLC47A1',\n",
              "   'ADAMDEC1',\n",
              "   'HSD17B14',\n",
              "   'DENND2D',\n",
              "   'APOE',\n",
              "   'LILRB5',\n",
              "   'MGLL',\n",
              "   'HACD3',\n",
              "   'RNASE1',\n",
              "   'LIMA1',\n",
              "   'FRMD4A',\n",
              "   'ACAT2',\n",
              "   'CCL2'],\n",
              "  'M_angiogenic-effectors': ['CXCL8',\n",
              "   'SEMA4D',\n",
              "   'ADM',\n",
              "   'PLAU',\n",
              "   'TYMP',\n",
              "   'ANGPT1',\n",
              "   'FGF1',\n",
              "   'VEGFD',\n",
              "   'VEGFC',\n",
              "   'VEGFB',\n",
              "   'PDGFD',\n",
              "   'PDGFC',\n",
              "   'PDGFB',\n",
              "   'JAG2',\n",
              "   'PDGFA',\n",
              "   'JAG1',\n",
              "   'TGFB1',\n",
              "   'RTN3',\n",
              "   'MMP7',\n",
              "   'POSTN',\n",
              "   'MMP9',\n",
              "   'TEK',\n",
              "   'THBS1',\n",
              "   'PF4',\n",
              "   'STC2',\n",
              "   'STC1',\n",
              "   'ANGPT2',\n",
              "   'ENG',\n",
              "   'CCL2',\n",
              "   'FGF2',\n",
              "   'VEGFA']},\n",
              " 'pDC': {'p-DC_CpG-TLR9_response': ['TCF7',\n",
              "   'RNF145',\n",
              "   'SGK1',\n",
              "   'OTULINL',\n",
              "   'ZAP70',\n",
              "   'HMGB2',\n",
              "   'ID2'],\n",
              "  'DC_LPS_response': ['NCAPH',\n",
              "   'SLC46A2',\n",
              "   'PDK3',\n",
              "   'PARVG',\n",
              "   'ELP2',\n",
              "   'ASTE1',\n",
              "   'HHEX',\n",
              "   'PTPN4',\n",
              "   'ENO2',\n",
              "   'CEMIP2',\n",
              "   'ACADS',\n",
              "   'TAGAP',\n",
              "   'CLEC10A',\n",
              "   'MYO1F',\n",
              "   'NSMF',\n",
              "   'NAXE',\n",
              "   'CYTH4',\n",
              "   'INKA2',\n",
              "   'PARP3',\n",
              "   'SYNRG',\n",
              "   'ENTPD1',\n",
              "   'PLCD1',\n",
              "   'OPN3',\n",
              "   'PRMT3',\n",
              "   'VCL',\n",
              "   'FN3KRP',\n",
              "   'THYN1',\n",
              "   'ATP9A',\n",
              "   'IMPA2',\n",
              "   'GNPDA1',\n",
              "   'KLK8',\n",
              "   'KCTD7',\n",
              "   'CACNA2D4',\n",
              "   'CLMN',\n",
              "   'PTBP1',\n",
              "   'SLC26A2',\n",
              "   'RPL13A',\n",
              "   'CHCHD7',\n",
              "   'MERTK',\n",
              "   'CPQ',\n",
              "   'ZFP69',\n",
              "   'FEV',\n",
              "   'BRD3',\n",
              "   'CIITA',\n",
              "   'FOXQ1',\n",
              "   'ZNF641',\n",
              "   'TAF4B',\n",
              "   'CD1C',\n",
              "   'ARHGAP39',\n",
              "   'LYRM7',\n",
              "   'SLC18A2',\n",
              "   'ZNF398',\n",
              "   'MGAT5'],\n",
              "  'DC_antigen-crosspresentation': ['MRC1',\n",
              "   'SEC61A2',\n",
              "   'SEC61A1',\n",
              "   'IFI30',\n",
              "   'SEC61G',\n",
              "   'VCP',\n",
              "   'CTSS',\n",
              "   'CYBB',\n",
              "   'SEC61B',\n",
              "   'TFEB',\n",
              "   'RAB27A']},\n",
              " 'plasma': {'B_IgM-ligation_response': ['INCENP',\n",
              "   'DCBLD2',\n",
              "   'AP1S2',\n",
              "   'LIG1',\n",
              "   'AURKB',\n",
              "   'CLIC4',\n",
              "   'STK33',\n",
              "   'AURKA',\n",
              "   'BTLA',\n",
              "   'NDC80',\n",
              "   'WDHD1',\n",
              "   'CDC25C',\n",
              "   'CPOX',\n",
              "   'KIF15',\n",
              "   'NFKB1',\n",
              "   'KIF4A',\n",
              "   'STMN1',\n",
              "   'ATAD5',\n",
              "   'CENPN',\n",
              "   'EIF3C',\n",
              "   'RACGAP1',\n",
              "   'SGO1',\n",
              "   'CBX5',\n",
              "   'TIPIN',\n",
              "   'CDK1',\n",
              "   'TIFAB',\n",
              "   'TTK',\n",
              "   'NCAPG',\n",
              "   'ATP11C',\n",
              "   'SPC25',\n",
              "   'GZMK',\n",
              "   'ASPM',\n",
              "   'HELLS',\n",
              "   'MIS18BP1',\n",
              "   'ECT2',\n",
              "   'APOBEC2',\n",
              "   'CENPE',\n",
              "   'SGO2',\n",
              "   'HMMR',\n",
              "   'PRR11',\n",
              "   'PLK1',\n",
              "   'DLGAP5',\n",
              "   'CCNA2',\n",
              "   'ZBP1',\n",
              "   'NCAPD2',\n",
              "   'RAD51',\n",
              "   'KIF11',\n",
              "   'MCM7',\n",
              "   'BRIP1',\n",
              "   'MCM3',\n",
              "   'PRC1',\n",
              "   'ROM1',\n",
              "   'KDM4A',\n",
              "   'CPT1A',\n",
              "   'CKS1B',\n",
              "   'CENPF',\n",
              "   'CDCA8',\n",
              "   'PRIM1',\n",
              "   'CEP55',\n",
              "   'POLE',\n",
              "   'TPX2',\n",
              "   'HMGB3',\n",
              "   'RAD51AP1',\n",
              "   'CDC45',\n",
              "   'TRAM1',\n",
              "   'FBXO5',\n",
              "   'KIF23',\n",
              "   'MKI67',\n",
              "   'CORO2A',\n",
              "   'VCP',\n",
              "   'CCNE1',\n",
              "   'HERC3',\n",
              "   'BRCA1',\n",
              "   'CHEK1',\n",
              "   'KIF14',\n",
              "   'NEIL3',\n",
              "   'NUF2',\n",
              "   'FKBP5',\n",
              "   'ESCO2',\n",
              "   'CCNB2',\n",
              "   'MYO5A',\n",
              "   'RRM2',\n",
              "   'BRCA2',\n",
              "   'EGR2',\n",
              "   'NR4A3',\n",
              "   'HNRNPUL1',\n",
              "   'CENPS',\n",
              "   'SPC24',\n",
              "   'USP6NL',\n",
              "   'RRM1',\n",
              "   'CLSPN',\n",
              "   'CDCA3',\n",
              "   'GPR183',\n",
              "   'CKAP2',\n",
              "   'BUB1',\n",
              "   'TOP2A',\n",
              "   'MAD2L1',\n",
              "   'CDKN3',\n",
              "   'FIGNL1',\n",
              "   'CXCR6',\n",
              "   'SPAG5',\n",
              "   'BIRC5',\n",
              "   'CALU',\n",
              "   'CENPH'],\n",
              "  'B_Breg_UP': ['TGFB1', 'IL10', 'IL12A', 'EBI3', 'TGFB2'],\n",
              "  'B_effector-2_UP': ['IL2', 'IL13', 'IL4', 'CSF2', 'IL6', 'IL10'],\n",
              "  'B_effector-1_UP': ['IL12B',\n",
              "   'IFNG',\n",
              "   'TNF',\n",
              "   'ITGAL',\n",
              "   'IL12A',\n",
              "   'IL10',\n",
              "   'TIMD4',\n",
              "   'FCGR3A',\n",
              "   'IL6']},\n",
              " 'global': {'all_chondroitine-and-heparan-sulfate_synthesis': ['HS3ST1',\n",
              "   'UST',\n",
              "   'CHST11',\n",
              "   'HS3ST4',\n",
              "   'XYLT1',\n",
              "   'CHPF2',\n",
              "   'NDST3',\n",
              "   'B3GAT3',\n",
              "   'EXTL1',\n",
              "   'HS3ST5',\n",
              "   'XYLT2',\n",
              "   'EXTL2',\n",
              "   'CHST12',\n",
              "   'HS6ST2',\n",
              "   'CHSY1',\n",
              "   'HS6ST1',\n",
              "   'NDST4',\n",
              "   'B4GALT7',\n",
              "   'CHSY3',\n",
              "   'CSGALNACT2',\n",
              "   'NDST1',\n",
              "   'HS3ST2',\n",
              "   'EXT2',\n",
              "   'EXT1',\n",
              "   'HS6ST3',\n",
              "   'B3GAT2',\n",
              "   'HS3ST3A1',\n",
              "   'CHST3',\n",
              "   'CSGALNACT1',\n",
              "   'HS3ST3B1',\n",
              "   'HS3ST6',\n",
              "   'CHPF',\n",
              "   'CHST7',\n",
              "   'HS2ST1',\n",
              "   'CHST13',\n",
              "   'EXTL3',\n",
              "   'GLCE',\n",
              "   'NDST2',\n",
              "   'B3GAT1',\n",
              "   'B3GALT6'],\n",
              "  'all_retinol_metabolism': ['ZADH2',\n",
              "   'ADH1A',\n",
              "   'UGT1A8',\n",
              "   'ADH7',\n",
              "   'SDR16C5',\n",
              "   'RDH12',\n",
              "   'ALDH1A2',\n",
              "   'ALDH1A3',\n",
              "   'AOX1',\n",
              "   'RDH16',\n",
              "   'LRAT',\n",
              "   'UGT1A10',\n",
              "   'RDH11',\n",
              "   'BCO1',\n",
              "   'PNPLA4',\n",
              "   'RDH14',\n",
              "   'RDH8',\n",
              "   'ADH1B',\n",
              "   'RDH5',\n",
              "   'RDH13',\n",
              "   'RDH10',\n",
              "   'ADH1C'],\n",
              "  'all_RIG-I-like-receptor_signaling': ['IKBKG',\n",
              "   'IL12A',\n",
              "   'IFIH1',\n",
              "   'IFNA14',\n",
              "   'MAPK14',\n",
              "   'ATG12',\n",
              "   'MAPK8',\n",
              "   'STING1',\n",
              "   'TNF',\n",
              "   'MAPK9',\n",
              "   'MAPK13',\n",
              "   'CHUK',\n",
              "   'IFNA21',\n",
              "   'DDX3Y',\n",
              "   'DDX3X',\n",
              "   'IFNA10',\n",
              "   'NFKB1',\n",
              "   'AZI2',\n",
              "   'TBKBP1',\n",
              "   'IFNA8',\n",
              "   'CASP10',\n",
              "   'IFNA7',\n",
              "   'IFNA1',\n",
              "   'IRF7',\n",
              "   'IFNA4',\n",
              "   'IRF3',\n",
              "   'TBK1',\n",
              "   'IFNA5',\n",
              "   'IFNA6',\n",
              "   'RELA',\n",
              "   'TRADD',\n",
              "   'CXCL10',\n",
              "   'DHX58',\n",
              "   'NFKBIB',\n",
              "   'IFNA17',\n",
              "   'RIPK1',\n",
              "   'CXCL8',\n",
              "   'MAVS',\n",
              "   'SIKE1',\n",
              "   'ISG15',\n",
              "   'MAPK12',\n",
              "   'IFNA2',\n",
              "   'IFNA13',\n",
              "   'IFNE',\n",
              "   'NFKBIA',\n",
              "   'ATG5',\n",
              "   'OTUD5',\n",
              "   'DDX58',\n",
              "   'MAPK11',\n",
              "   'TKFC',\n",
              "   'TRAF6',\n",
              "   'MAP3K7',\n",
              "   'NLRX1',\n",
              "   'IFNA16',\n",
              "   'IFNK',\n",
              "   'CYLD',\n",
              "   'IFNB1',\n",
              "   'IKBKE',\n",
              "   'TRIM25',\n",
              "   'RNF125',\n",
              "   'CASP8',\n",
              "   'IFNW1',\n",
              "   'MAPK10',\n",
              "   'PIN1',\n",
              "   'TRAF3',\n",
              "   'MAP3K1',\n",
              "   'IKBKB',\n",
              "   'IL12B',\n",
              "   'FADD',\n",
              "   'TANK',\n",
              "   'TRAF2'],\n",
              "  'all_propanoate_metabolism': ['SLC16A3',\n",
              "   'SLC5A12',\n",
              "   'SLC16A8',\n",
              "   'HIBCH',\n",
              "   'SLC16A1',\n",
              "   'SLC16A7',\n",
              "   'SLC5A8'],\n",
              "  'all_p53-signaling': ['JUN',\n",
              "   'CCND2',\n",
              "   'EI24',\n",
              "   'TP63',\n",
              "   'WWP1',\n",
              "   'TGFA',\n",
              "   'HMOX1',\n",
              "   'PCNA',\n",
              "   'CDH13',\n",
              "   'DEF6',\n",
              "   'ITGB4',\n",
              "   'TPD52L1',\n",
              "   'RAD51C',\n",
              "   'WRAP73',\n",
              "   'TPRKB',\n",
              "   'IL1A',\n",
              "   'STEAP3',\n",
              "   'TCN2',\n",
              "   'ATF3',\n",
              "   'TRIAP1',\n",
              "   'ABAT',\n",
              "   'IRAK1',\n",
              "   'PTPN14',\n",
              "   'CCL4',\n",
              "   'RRP8',\n",
              "   'NUPR1',\n",
              "   'TOB1',\n",
              "   'IER3',\n",
              "   'SLC3A2',\n",
              "   'PLK3',\n",
              "   'CDKN2B',\n",
              "   'ZMAT3',\n",
              "   'NOTCH1',\n",
              "   'CCNK',\n",
              "   'BAIAP2',\n",
              "   'APAF1',\n",
              "   'CXCL1',\n",
              "   'PERP',\n",
              "   'CCND3',\n",
              "   'TP53',\n",
              "   'IL15',\n",
              "   'CD81',\n",
              "   'CTSD',\n",
              "   'HINT1',\n",
              "   'ALOX15B',\n",
              "   'TNNI1',\n",
              "   'RPL18',\n",
              "   'H2AW',\n",
              "   'RGS16',\n",
              "   'CCP110',\n",
              "   'KLF4',\n",
              "   'FOXO3',\n",
              "   'MXD4',\n",
              "   'CD82',\n",
              "   'MDM2',\n",
              "   'ACVR1B',\n",
              "   'SAT1',\n",
              "   'SLC35D1',\n",
              "   'RPS27L',\n",
              "   'GM2A',\n",
              "   'SEC61A1',\n",
              "   'PHLDA3',\n",
              "   'RPL36',\n",
              "   'TGFB1',\n",
              "   'PPM1D',\n",
              "   'SDC1',\n",
              "   'RAB40C',\n",
              "   'BTG2',\n",
              "   'PITPNC1',\n",
              "   'ADA',\n",
              "   'EPHX1',\n",
              "   'DRAM1',\n",
              "   'ST14',\n",
              "   'MKNK2',\n",
              "   'BMP2',\n",
              "   'CDKN2A',\n",
              "   'GPX2',\n",
              "   'CTSF',\n",
              "   'VDR',\n",
              "   'TCHH',\n",
              "   'PRMT2',\n",
              "   'CGRRF1',\n",
              "   'LIF',\n",
              "   'H2AJ',\n",
              "   'RHBDF2',\n",
              "   'PRKAB1',\n",
              "   'TSPYL2',\n",
              "   'FOS',\n",
              "   'NUDT15',\n",
              "   'GLS2',\n",
              "   'DDIT4',\n",
              "   'BTG1',\n",
              "   'EPHA2',\n",
              "   'CXCL2',\n",
              "   'VWA5A',\n",
              "   'SLC19A2',\n",
              "   'RXRA',\n",
              "   'POM121',\n",
              "   'XPC',\n",
              "   'ISCU',\n",
              "   'TRAF4',\n",
              "   'NDRG1',\n",
              "   'NINJ1',\n",
              "   'KLK8',\n",
              "   'FBXW7',\n",
              "   'SERPINB5',\n",
              "   'TXNIP',\n",
              "   'BAK1',\n",
              "   'DDB2',\n",
              "   'BLCAP',\n",
              "   'RACK1',\n",
              "   'TNFSF9',\n",
              "   'S100A10',\n",
              "   'PIDD1',\n",
              "   'JAG2',\n",
              "   'PPP1R15A',\n",
              "   'H1-2',\n",
              "   'BAX',\n",
              "   'GADD45A',\n",
              "   'PLK2',\n",
              "   'UPP1',\n",
              "   'CYFIP2',\n",
              "   'CDKN1A',\n",
              "   'SP1',\n",
              "   'DNTTIP2',\n",
              "   'RPS12',\n",
              "   'CCNG1',\n",
              "   'CSRNP2',\n",
              "   'ANKRA2',\n",
              "   'HSPA4L',\n",
              "   'PTPRE',\n",
              "   'MAPKAPK3',\n",
              "   'TRAFD1',\n",
              "   'S100A4',\n",
              "   'TRIB3',\n",
              "   'KIF13B',\n",
              "   'FGF13',\n",
              "   'CCL3',\n",
              "   'COQ8A',\n",
              "   'APP',\n",
              "   'RETSAT',\n",
              "   'CDK5R1',\n",
              "   'VAMP8',\n",
              "   'SFN',\n",
              "   'RB1',\n",
              "   'IP6K2',\n",
              "   'HDAC3',\n",
              "   'ABHD4',\n",
              "   'STOM',\n",
              "   'DCXR',\n",
              "   'F2R',\n",
              "   'IRAG2',\n",
              "   'HBEGF',\n",
              "   'PLXNB2',\n",
              "   'KRT17',\n",
              "   'DDIT3',\n",
              "   'POLH',\n",
              "   'NOL8',\n",
              "   'FUCA1',\n",
              "   'CLCA2',\n",
              "   'NHLH2',\n",
              "   'RAD9A',\n",
              "   'SERTAD3',\n",
              "   'TM7SF3',\n",
              "   'ERCC5',\n",
              "   'RNF19B',\n",
              "   'PDGFA',\n",
              "   'ZFP36L1',\n",
              "   'ABCC5',\n",
              "   'SPHK1',\n",
              "   'CEBPA',\n",
              "   'RCHY1',\n",
              "   'HRAS',\n",
              "   'ZBTB16',\n",
              "   'PVT1',\n",
              "   'RAP2B',\n",
              "   'ZNF365',\n",
              "   'SOCS1',\n",
              "   'CCL5',\n",
              "   'IFI30',\n",
              "   'MXD1',\n",
              "   'DGKA',\n",
              "   'AC022506.1',\n",
              "   'PMM1',\n",
              "   'AEN',\n",
              "   'FAM162A',\n",
              "   'CCL2',\n",
              "   'CASP1',\n",
              "   'RRAD',\n",
              "   'TAP1',\n",
              "   'SESN1',\n",
              "   'RALGDS',\n",
              "   'EPS8L2',\n",
              "   'PROCR',\n",
              "   'OSGIN1',\n",
              "   'LDHB',\n",
              "   'FDXR',\n",
              "   'ELP1',\n",
              "   'IER5',\n",
              "   'TAX1BP3',\n",
              "   'INHBB',\n",
              "   'HEXIM1',\n",
              "   'TM4SF1',\n",
              "   'SLC7A11',\n",
              "   'CDKN2AIP',\n",
              "   'FAS',\n",
              "   'TSC22D1',\n",
              "   'AK1'],\n",
              "  'all_autophagy-selective': ['TOMM7',\n",
              "   'STING1',\n",
              "   'TEX264',\n",
              "   'UBA5',\n",
              "   'RNF41',\n",
              "   'UFC1',\n",
              "   'PINK1',\n",
              "   'WIPI2',\n",
              "   'SPTLC1',\n",
              "   'LGALS8',\n",
              "   'VPS13D',\n",
              "   'AMBRA1',\n",
              "   'RETREG3',\n",
              "   'OPTN',\n",
              "   'TBK1',\n",
              "   'BECN1',\n",
              "   'KLHL3',\n",
              "   'TSC2',\n",
              "   'MAPK3',\n",
              "   'CDC37',\n",
              "   'WDR81',\n",
              "   'UFM1',\n",
              "   'LRSAM1',\n",
              "   'HDAC6',\n",
              "   'RB1CC1',\n",
              "   'VPS13C',\n",
              "   'HUWE1',\n",
              "   'AUP1',\n",
              "   'SQSTM1',\n",
              "   'ATG13',\n",
              "   'ATG2A',\n",
              "   'MFN2',\n",
              "   'NOD1',\n",
              "   'CLEC16A',\n",
              "   'BAG3',\n",
              "   'HSPB8',\n",
              "   'PHB2',\n",
              "   'UFL1',\n",
              "   'STBD1',\n",
              "   'SESN2',\n",
              "   'TP53',\n",
              "   'SPTLC2',\n",
              "   'ATG14',\n",
              "   'PRKN',\n",
              "   'RAB7A',\n",
              "   'USP30',\n",
              "   'HTRA2',\n",
              "   'HTT',\n",
              "   'SMURF1',\n",
              "   'CALCOCO2',\n",
              "   'MAP1LC3C',\n",
              "   'RIPK2',\n",
              "   'ATG5',\n",
              "   'RETREG1',\n",
              "   'TIGAR',\n",
              "   'UBQLN1',\n",
              "   'DDRGK1',\n",
              "   'MAP1LC3B',\n",
              "   'ATG2B',\n",
              "   'ADRB2',\n",
              "   'WDFY3'],\n",
              "  'all_circadian-rhythm': ['NR1D1',\n",
              "   'CRY2',\n",
              "   'CSNK1E',\n",
              "   'CSNK1D',\n",
              "   'BHLHE41',\n",
              "   'CRY1',\n",
              "   'CLOCK',\n",
              "   'ARNTL',\n",
              "   'PER2',\n",
              "   'TPTEP2-CSNK1E',\n",
              "   'PER1',\n",
              "   'BHLHE40',\n",
              "   'NPAS2',\n",
              "   'PER3'],\n",
              "  'all_VAL-LEU-ILE_metabolism': ['PCCB',\n",
              "   'BCAT1',\n",
              "   'SLC43A2',\n",
              "   'SLC7A3',\n",
              "   'IVD',\n",
              "   'PCCA',\n",
              "   'ALDH6A1',\n",
              "   'SLC38A4',\n",
              "   'SLC7A5',\n",
              "   'BCKDHA',\n",
              "   'SLC16A7',\n",
              "   'MMUT',\n",
              "   'DBT',\n",
              "   'SLC7A7',\n",
              "   'AUH',\n",
              "   'MCEE',\n",
              "   'BCAT2',\n",
              "   'SLC16A1',\n",
              "   'ACAD8',\n",
              "   'SLC1A5',\n",
              "   'ALDH2',\n",
              "   'DLD',\n",
              "   'HIBADH',\n",
              "   'ACADSB',\n",
              "   'SLC6A14',\n",
              "   'SLC38A1',\n",
              "   'HMGCL',\n",
              "   'SLC38A2',\n",
              "   'ACAT1',\n",
              "   'MCCC1',\n",
              "   'SLC7A6',\n",
              "   'MCCC2',\n",
              "   'BCKDHB',\n",
              "   'SLC7A2',\n",
              "   'SLC16A8',\n",
              "   'ACADM',\n",
              "   'SLC5A8',\n",
              "   'SLC7A8',\n",
              "   'SLC43A1'],\n",
              "  'all_taurine-hypotaurine_metabolism': ['SLC6A6', 'GGT1', 'CDO1', 'CSAD'],\n",
              "  'all_microautophagy-lysosomal': ['ATG2B',\n",
              "   'ATG13',\n",
              "   'ATG7',\n",
              "   'RB1CC1',\n",
              "   'ATG2A'],\n",
              "  'all_transmembrane-transport-ER': ['SLC37A4', 'SLC35D1', 'SLC33A1'],\n",
              "  'all_macroautophagy_regulation_positive': ['PIP4K2B',\n",
              "   'LARP1',\n",
              "   'PIP4K2A',\n",
              "   'VPS13D',\n",
              "   'BAG3',\n",
              "   'TRIM13',\n",
              "   'PINK1',\n",
              "   'SIRT1',\n",
              "   'NOD1',\n",
              "   'PRKAA2',\n",
              "   'IKBKG',\n",
              "   'TSC2',\n",
              "   'RAB12',\n",
              "   'WAC',\n",
              "   'MAPK3',\n",
              "   'RAB3GAP2',\n",
              "   'LRSAM1',\n",
              "   'CLEC16A',\n",
              "   'CDC37',\n",
              "   'TSC1',\n",
              "   'IRGM',\n",
              "   'SMCR8',\n",
              "   'PAFAH1B2',\n",
              "   'SESN1',\n",
              "   'ULK1',\n",
              "   'STING1',\n",
              "   'SCOC',\n",
              "   'RIPK2',\n",
              "   'C9orf72',\n",
              "   'HMOX1',\n",
              "   'VPS13C',\n",
              "   'HDAC6',\n",
              "   'RAB3GAP1',\n",
              "   'MAP3K7',\n",
              "   'UVRAG',\n",
              "   'BNIP3',\n",
              "   'SUPT5H',\n",
              "   'RUFY4',\n",
              "   'PIP4K2C',\n",
              "   'ADRB2',\n",
              "   'KDR',\n",
              "   'TOMM7',\n",
              "   'SESN2',\n",
              "   'OPTN',\n",
              "   'PRKN',\n",
              "   'GPSM1',\n",
              "   'SH3GLB1',\n",
              "   'BNIP3L',\n",
              "   'EPM2A',\n",
              "   'SPTLC1',\n",
              "   'DCN',\n",
              "   'HUWE1',\n",
              "   'FYCO1',\n",
              "   'SPTLC2',\n",
              "   'MFN2',\n",
              "   'TBK1',\n",
              "   'GNAI3',\n",
              "   'SMURF1',\n",
              "   'ELAPOR1',\n",
              "   'SESN3',\n",
              "   'HIF1A',\n",
              "   'PIM2',\n",
              "   'HSPB8',\n",
              "   'HTT',\n",
              "   'RALB',\n",
              "   'LACRT',\n",
              "   'CALCOCO2',\n",
              "   'IL4'],\n",
              "  'all_TYR_metabolism': ['PAH',\n",
              "   'AOC1',\n",
              "   'SLC16A10',\n",
              "   'TAT',\n",
              "   'DUOX2',\n",
              "   'FAH',\n",
              "   'TYRP1',\n",
              "   'SLCO1A2',\n",
              "   'DDC',\n",
              "   'SLC22A2',\n",
              "   'SLC6A4',\n",
              "   'GOT1',\n",
              "   'SLCO1B1',\n",
              "   'SLCO4A1',\n",
              "   'DBH',\n",
              "   'SLC6A3',\n",
              "   'ALDH3A1',\n",
              "   'SLCO1C1',\n",
              "   'SLC18A2',\n",
              "   'ALDH3B2',\n",
              "   'TH',\n",
              "   'AOC2',\n",
              "   'SLCO1B3',\n",
              "   'ALDH3B1',\n",
              "   'SLC18A1',\n",
              "   'MOXD1',\n",
              "   'SLC6A14',\n",
              "   'GOT2',\n",
              "   'MAOB',\n",
              "   'AOC3',\n",
              "   'SULT1A1',\n",
              "   'SULT1A2',\n",
              "   'SULT1A3',\n",
              "   'PNMT',\n",
              "   'SLC22A3',\n",
              "   'COMT',\n",
              "   'HGD',\n",
              "   'SLC16A2',\n",
              "   'TPO',\n",
              "   'GSTZ1',\n",
              "   'ADH4',\n",
              "   'SLC6A2',\n",
              "   'SLC7A5',\n",
              "   'TYR',\n",
              "   'FAHD1',\n",
              "   'HPD',\n",
              "   'DCT',\n",
              "   'SLC7A8',\n",
              "   'MAOA',\n",
              "   'DUOX1',\n",
              "   'COMTD1',\n",
              "   'SLC22A1'],\n",
              "  'all_SASP': ['CCL25',\n",
              "   'CXCL2',\n",
              "   'IL6ST',\n",
              "   'IL15',\n",
              "   'MMP1',\n",
              "   'FGF2',\n",
              "   'CXCL11',\n",
              "   'IL7',\n",
              "   'CXCL3',\n",
              "   'CCL16',\n",
              "   'NGF',\n",
              "   'ANG',\n",
              "   'VEGFA',\n",
              "   'MMP10',\n",
              "   'CCL1',\n",
              "   'CCL11',\n",
              "   'SERPINB2',\n",
              "   'CCL26',\n",
              "   'EREG',\n",
              "   'CXCL8',\n",
              "   'PF4',\n",
              "   'IL13',\n",
              "   'MMP14',\n",
              "   'IGFBP7',\n",
              "   'PLAU',\n",
              "   'CCL7',\n",
              "   'IGFBP2',\n",
              "   'IGFBP4',\n",
              "   'MMP13',\n",
              "   'PLAUR',\n",
              "   'CXCL5',\n",
              "   'IGFBP6',\n",
              "   'FGF7',\n",
              "   'TNFRSF1A',\n",
              "   'CXCL13',\n",
              "   'CCL8',\n",
              "   'CCL2',\n",
              "   'MMP3',\n",
              "   'TIMP2',\n",
              "   'CXCL6',\n",
              "   'CCL13',\n",
              "   'TIMP1',\n",
              "   'EGF',\n",
              "   'HGF',\n",
              "   'IL1A',\n",
              "   'TNFRSF1B',\n",
              "   'CXCL1',\n",
              "   'AREG',\n",
              "   'IGFBP3',\n",
              "   'TNFRSF10C',\n",
              "   'CCL3',\n",
              "   'IL1B',\n",
              "   'TNFRSF11B',\n",
              "   'IFNG',\n",
              "   'SERPINE1',\n",
              "   'KITLG',\n",
              "   'TNFSF11',\n",
              "   'MIF',\n",
              "   'CCN2',\n",
              "   'CXCR2',\n",
              "   'PLAT',\n",
              "   'IL6',\n",
              "   'CXCL12',\n",
              "   'MMP12',\n",
              "   'MMP9',\n",
              "   'CCL20',\n",
              "   'MMP7'],\n",
              "  'all_histone-methylation': ['SETD7',\n",
              "   'KMT2C',\n",
              "   'SETDB2',\n",
              "   'KMT2D',\n",
              "   'DOT1L',\n",
              "   'SETDB1',\n",
              "   'SUV39H1',\n",
              "   'SUV39H2'],\n",
              "  'all_TNF-via-NFkB_signaling': ['PDE4B',\n",
              "   'PTGER4',\n",
              "   'ATP2B1',\n",
              "   'CCL2',\n",
              "   'TAP1',\n",
              "   'BCL2A1',\n",
              "   'CLCF1',\n",
              "   'SDC4',\n",
              "   'JAG1',\n",
              "   'TSC22D1',\n",
              "   'MARCKS',\n",
              "   'TANK',\n",
              "   'PPP1R15A',\n",
              "   'SPSB1',\n",
              "   'CCND1',\n",
              "   'PDLIM5',\n",
              "   'SIK1',\n",
              "   'KLF6',\n",
              "   'NFIL3',\n",
              "   'CCL20',\n",
              "   'PANX1',\n",
              "   'JUN',\n",
              "   'BTG1',\n",
              "   'TRAF1',\n",
              "   'SPHK1',\n",
              "   'IL6',\n",
              "   'NR4A2',\n",
              "   'GEM',\n",
              "   'BTG2',\n",
              "   'CXCL3',\n",
              "   'IER3',\n",
              "   'DDX58',\n",
              "   'NINJ1',\n",
              "   'RNF19B',\n",
              "   'KLF4',\n",
              "   'B4GALT1',\n",
              "   'NFE2L2',\n",
              "   'GADD45B',\n",
              "   'GFPT2',\n",
              "   'FOSL1',\n",
              "   'DUSP1',\n",
              "   'CXCL10',\n",
              "   'TIPARP',\n",
              "   'SLC2A6',\n",
              "   'EIF1',\n",
              "   'IL12B',\n",
              "   'ZFP36',\n",
              "   'BIRC3',\n",
              "   'CSF2',\n",
              "   'CD44',\n",
              "   'NFKB2',\n",
              "   'RHOB',\n",
              "   'CXCL8',\n",
              "   'BMP2',\n",
              "   'TNFAIP2',\n",
              "   'JUNB',\n",
              "   'TNFRSF9',\n",
              "   'SERPINB8',\n",
              "   'RIPK2',\n",
              "   'IL23A',\n",
              "   'MAFF',\n",
              "   'DUSP4',\n",
              "   'IL15RA',\n",
              "   'MAP2K3',\n",
              "   'PLK2',\n",
              "   'OLR1',\n",
              "   'LAMB3',\n",
              "   'F2RL1',\n",
              "   'CXCL1',\n",
              "   'EHD1',\n",
              "   'SNN',\n",
              "   'GADD45A',\n",
              "   'IRF1',\n",
              "   'ICOSLG',\n",
              "   'TLR2',\n",
              "   'HES1',\n",
              "   'TGIF1',\n",
              "   'INHBA',\n",
              "   'KYNU',\n",
              "   'GCH1',\n",
              "   'BCL6',\n",
              "   'CCRL2',\n",
              "   'TRIB1',\n",
              "   'TNC',\n",
              "   'PTX3',\n",
              "   'REL',\n",
              "   'PNRC1',\n",
              "   'BTG3',\n",
              "   'CXCL11',\n",
              "   'PLAU',\n",
              "   'KLF9',\n",
              "   'ICAM1',\n",
              "   'NAMPT',\n",
              "   'B4GALT5',\n",
              "   'MYC',\n",
              "   'IRS2',\n",
              "   'HBEGF',\n",
              "   'DRAM1',\n",
              "   'LITAF',\n",
              "   'NFAT5',\n",
              "   'PLAUR',\n",
              "   'RELB',\n",
              "   'IL6ST',\n",
              "   'IFIH1',\n",
              "   'EGR2',\n",
              "   'PHLDA1',\n",
              "   'CCNL1',\n",
              "   'LIF',\n",
              "   'VEGFA',\n",
              "   'SMAD3',\n",
              "   'MSC',\n",
              "   'PMEPA1',\n",
              "   'IER2',\n",
              "   'EDN1',\n",
              "   'TRIP10',\n",
              "   'NFKBIA',\n",
              "   'PLPP3',\n",
              "   'FUT4',\n",
              "   'EFNA1',\n",
              "   'IL7R',\n",
              "   'FJX1',\n",
              "   'BCL3',\n",
              "   'SERPINB2',\n",
              "   'ZC3H12A',\n",
              "   'CEBPD',\n",
              "   'FOS',\n",
              "   'ETS2',\n",
              "   'IL1B',\n",
              "   'FOSB',\n",
              "   'SOD2',\n",
              "   'TNF',\n",
              "   'SGK1',\n",
              "   'CDKN1A',\n",
              "   'FOSL2',\n",
              "   'PFKFB3',\n",
              "   'CD80',\n",
              "   'IFNGR2',\n",
              "   'TNIP2',\n",
              "   'IFIT2',\n",
              "   'ABCA1',\n",
              "   'MAP3K8',\n",
              "   'TNFAIP3',\n",
              "   'LDLR',\n",
              "   'IL1A',\n",
              "   'CD83',\n",
              "   'NR4A3',\n",
              "   'DNAJB4',\n",
              "   'RCAN1',\n",
              "   'FP565260.3',\n",
              "   'SOCS3',\n",
              "   'MCL1',\n",
              "   'TNIP1',\n",
              "   'CD69',\n",
              "   'CCL5',\n",
              "   'DUSP5',\n",
              "   'F3',\n",
              "   'DUSP2',\n",
              "   'NFKB1',\n",
              "   'CCL4',\n",
              "   'EGR1',\n",
              "   'SAT1',\n",
              "   'STAT5A',\n",
              "   'EGR3',\n",
              "   'RELA',\n",
              "   'BHLHE40',\n",
              "   'IER5',\n",
              "   'AREG',\n",
              "   'KLF2',\n",
              "   'IL18',\n",
              "   'KLF10',\n",
              "   'SQSTM1',\n",
              "   'CXCL2',\n",
              "   'TNFSF9',\n",
              "   'ID2',\n",
              "   'NR4A1',\n",
              "   'CXCL6',\n",
              "   'YRDC',\n",
              "   'ZBTB10',\n",
              "   'CCN1',\n",
              "   'CSF1',\n",
              "   'KDM6B',\n",
              "   'PLEK',\n",
              "   'TNFAIP6',\n",
              "   'BIRC2',\n",
              "   'SLC2A3',\n",
              "   'DENND5A',\n",
              "   'PTPRE',\n",
              "   'SLC16A6',\n",
              "   'SERPINE1',\n",
              "   'GPR183',\n",
              "   'PHLDA2',\n",
              "   'ATF3',\n",
              "   'CFLAR',\n",
              "   'NFKBIE',\n",
              "   'PER1',\n",
              "   'CEBPB',\n",
              "   'G0S2',\n",
              "   'MXD1',\n",
              "   'PTGS2',\n",
              "   'TUBB2A',\n",
              "   'ACKR3',\n",
              "   'TNFAIP8'],\n",
              "  'all_iron-uptake-and-storage': ['TFR2',\n",
              "   'FTL',\n",
              "   'FTH1',\n",
              "   'FLVCR1',\n",
              "   'SLC11A2',\n",
              "   'SLC25A37',\n",
              "   'TFRC',\n",
              "   'SLC11A1',\n",
              "   'CP',\n",
              "   'SLC39A14',\n",
              "   'SLC40A1',\n",
              "   'SLC25A28',\n",
              "   'TF',\n",
              "   'CD163',\n",
              "   'SLC48A1',\n",
              "   'LRP1',\n",
              "   'FTMT',\n",
              "   'SCARA5',\n",
              "   'SLC46A1'],\n",
              "  'all_n-glycan_synthesis': ['ALG8',\n",
              "   'MAN1B1',\n",
              "   'MOGS',\n",
              "   'ALG12',\n",
              "   'MAN1A1',\n",
              "   'DAD1',\n",
              "   'MGAT3',\n",
              "   'MGAT5',\n",
              "   'UGDH',\n",
              "   'MAN1C1',\n",
              "   'ALG10',\n",
              "   'ALG6',\n",
              "   'MGAT4B',\n",
              "   'ALG2',\n",
              "   'B4GALT2',\n",
              "   'MAN2A2',\n",
              "   'ALG5',\n",
              "   'DDOST',\n",
              "   'DPM1',\n",
              "   'MGAT2',\n",
              "   'B4GALT1',\n",
              "   'RPN2',\n",
              "   'DPM3',\n",
              "   'DPAGT1',\n",
              "   'MAN1A2',\n",
              "   'DPM2',\n",
              "   'MAN2A1',\n",
              "   'TUSC3',\n",
              "   'MGAT1',\n",
              "   'FUT8',\n",
              "   'ALG3',\n",
              "   'B4GALT3',\n",
              "   'ALG1',\n",
              "   'DOLPP1',\n",
              "   'MGAT4A',\n",
              "   'ST6GAL1',\n",
              "   'B4GALT5',\n",
              "   'RPN1'],\n",
              "  'all_transmembrane-transport-golgi': ['SLC35A3',\n",
              "   'SLC35B4',\n",
              "   'SLC9A8',\n",
              "   'SLC35B2',\n",
              "   'SLC35A2',\n",
              "   'SLC35D2',\n",
              "   'SLC9A7',\n",
              "   'SLC35A1',\n",
              "   'SLC2A1',\n",
              "   'SLC35C1'],\n",
              "  'all_PHE_metabolism': ['SLC7A5',\n",
              "   'SLC43A1',\n",
              "   'AOC2',\n",
              "   'DDC',\n",
              "   'SLC7A3',\n",
              "   'SLC7A2',\n",
              "   'PAH',\n",
              "   'SLC38A1',\n",
              "   'SLC38A4',\n",
              "   'SLC38A2',\n",
              "   'ALDH3A1',\n",
              "   'AOC1',\n",
              "   'SLC43A2',\n",
              "   'TAT',\n",
              "   'SLC7A8',\n",
              "   'GOT2',\n",
              "   'ALDH3B2',\n",
              "   'SLC16A10',\n",
              "   'HPD',\n",
              "   'SLC6A14',\n",
              "   'GOT1',\n",
              "   'MAOA',\n",
              "   'MAOB',\n",
              "   'ALDH3B1'],\n",
              "  'all_riboflavin_metabolism': ['ENPP1',\n",
              "   'ACP1',\n",
              "   'TYR',\n",
              "   'RFK',\n",
              "   'FLAD1',\n",
              "   'ACP2'],\n",
              "  'all_polyamines_metabolism': ['ODC1',\n",
              "   'AGMAT',\n",
              "   'MAOB',\n",
              "   'SRM',\n",
              "   'SMOX',\n",
              "   'MAOA',\n",
              "   'SAT2',\n",
              "   'AMD1',\n",
              "   'SMS',\n",
              "   'AZIN2'],\n",
              "  'all_PI3K-AKT-mTOR_signaling': ['ACACA',\n",
              "   'ACTR2',\n",
              "   'AL662899.2',\n",
              "   'CDK1',\n",
              "   'RIT1',\n",
              "   'ECSIT',\n",
              "   'CALR',\n",
              "   'IL4',\n",
              "   'RPTOR',\n",
              "   'ARF1',\n",
              "   'PIK3R3',\n",
              "   'PAK4',\n",
              "   'SLC2A1',\n",
              "   'EIF4E',\n",
              "   'THEM4',\n",
              "   'TRAF2',\n",
              "   'MAP2K6',\n",
              "   'CXCR4',\n",
              "   'FGF22',\n",
              "   'IRAK4',\n",
              "   'MAPK9',\n",
              "   'ARPC3',\n",
              "   'DDIT3',\n",
              "   'RAF1',\n",
              "   'TIAM1',\n",
              "   'RIPK1',\n",
              "   'PPP1CA',\n",
              "   'PLCG1',\n",
              "   'CAB39L',\n",
              "   'GNGT1',\n",
              "   'PTPN11',\n",
              "   'MKNK1',\n",
              "   'PRKCB',\n",
              "   'PIN1',\n",
              "   'AC022506.1',\n",
              "   'UBE2N',\n",
              "   'PIKFYVE',\n",
              "   'NGF',\n",
              "   'GNA14',\n",
              "   'CLTC',\n",
              "   'PRKAR2A',\n",
              "   'HSP90B1',\n",
              "   'FGF17',\n",
              "   'NOD1',\n",
              "   'VAV3',\n",
              "   'RPS6KA3',\n",
              "   'RPS6KA1',\n",
              "   'CDK2',\n",
              "   'PLCB1',\n",
              "   'NFKBIB',\n",
              "   'IL2RG',\n",
              "   'ACTR3',\n",
              "   'PTEN',\n",
              "   'ADCY2',\n",
              "   'ARHGDIA',\n",
              "   'PRKAG1',\n",
              "   'MKNK2',\n",
              "   'CDKN1A',\n",
              "   'CDK4',\n",
              "   'MAPK10',\n",
              "   'UBE2D3',\n",
              "   'CSNK2B',\n",
              "   'HRAS',\n",
              "   'RALB',\n",
              "   'EGFR',\n",
              "   'TBK1',\n",
              "   'TNFRSF1A',\n",
              "   'STAT2',\n",
              "   'ATF1',\n",
              "   'MAP3K7',\n",
              "   'YWHAB',\n",
              "   'PDK1',\n",
              "   'CAMK4',\n",
              "   'SQSTM1',\n",
              "   'GRK2',\n",
              "   'SFN',\n",
              "   'TRIB3',\n",
              "   'PFN1',\n",
              "   'TSC2',\n",
              "   'E2F1',\n",
              "   'FASLG',\n",
              "   'MAPK8',\n",
              "   'PRKAA2',\n",
              "   'PLA2G12A',\n",
              "   'NCK1',\n",
              "   'ITPR2',\n",
              "   'AKT1S1',\n",
              "   'MAPK1',\n",
              "   'AKT1',\n",
              "   'CAB39',\n",
              "   'GSK3B',\n",
              "   'MAPKAP1',\n",
              "   'LCK',\n",
              "   'GRB2',\n",
              "   'FGF6',\n",
              "   'PITX2',\n",
              "   'AP2M1',\n",
              "   'MAP2K3',\n",
              "   'CDKN1B',\n",
              "   'RNASE1',\n",
              "   'SMAD2',\n",
              "   'RAC1',\n",
              "   'CFL1',\n",
              "   'DUSP3',\n",
              "   'SLA',\n",
              "   'MYD88',\n",
              "   'PPP2R1B',\n",
              "   'DAPP1'],\n",
              "  'all_inositol-phosphate_metabolism': ['IMPA2',\n",
              "   'SLC5A3',\n",
              "   'SLC5A11',\n",
              "   'SLC2A13',\n",
              "   'ISYNA1',\n",
              "   'IPMK',\n",
              "   'PI4K2A',\n",
              "   'IMPA1',\n",
              "   'MIOX'],\n",
              "  'all_DNA-demethylation': ['ADH5', 'TET1', 'TET2', 'TDG', 'ADH6', 'TET3'],\n",
              "  'all_wnt-beta-catenin-signaling': ['HDAC2',\n",
              "   'LEF1',\n",
              "   'CUL1',\n",
              "   'TP53',\n",
              "   'GNAI1',\n",
              "   'DLL1',\n",
              "   'SKP2',\n",
              "   'AXIN1',\n",
              "   'KAT2A',\n",
              "   'CSNK1E',\n",
              "   'MAML1',\n",
              "   'FZD8',\n",
              "   'NOTCH1',\n",
              "   'MYC',\n",
              "   'RBPJ',\n",
              "   'JAG2',\n",
              "   'PTCH1',\n",
              "   'PPARD',\n",
              "   'HDAC5',\n",
              "   'AXIN2',\n",
              "   'NUMB',\n",
              "   'PSEN2',\n",
              "   'NKD1',\n",
              "   'WNT1',\n",
              "   'TCF7',\n",
              "   'FRAT1',\n",
              "   'HDAC11',\n",
              "   'ADAM17',\n",
              "   'CCND2',\n",
              "   'HEY1',\n",
              "   'NCSTN',\n",
              "   'JAG1',\n",
              "   'DVL2',\n",
              "   'NOTCH4',\n",
              "   'NCOR2',\n",
              "   'TPTEP2-CSNK1E',\n",
              "   'FZD1',\n",
              "   'CTNNB1',\n",
              "   'DKK4',\n",
              "   'HEY2',\n",
              "   'WNT6',\n",
              "   'DKK1',\n",
              "   'WNT5B'],\n",
              "  'all_lactate_production': ['SLC16A1',\n",
              "   'SLC16A4',\n",
              "   'BSG',\n",
              "   'LDHA',\n",
              "   'LDHB',\n",
              "   'LDHC',\n",
              "   'SLC16A8',\n",
              "   'EMB',\n",
              "   'SLC16A7',\n",
              "   'LDHD'],\n",
              "  'all_complement_production': ['C1S',\n",
              "   'C1QA',\n",
              "   'C4A',\n",
              "   'CFB',\n",
              "   'C1QB',\n",
              "   'C1R',\n",
              "   'C6',\n",
              "   'C9',\n",
              "   'C4B',\n",
              "   'C8A',\n",
              "   'MBL2',\n",
              "   'CFD',\n",
              "   'C5',\n",
              "   'MASP1',\n",
              "   'C7',\n",
              "   'CFH',\n",
              "   'C3',\n",
              "   'CFI'],\n",
              "  'all_n-glycan_degradation': ['MAN2C1',\n",
              "   'HEXB',\n",
              "   'AGA',\n",
              "   'MAN2B1',\n",
              "   'GALNS',\n",
              "   'FUCA1',\n",
              "   'GLB1',\n",
              "   'MANBA',\n",
              "   'NEU4',\n",
              "   'NEU2',\n",
              "   'FUCA2',\n",
              "   'HEXA',\n",
              "   'NEU1',\n",
              "   'ENGASE'],\n",
              "  'all_porphyrine-heme_metabolism': ['UROS',\n",
              "   'BLVRA',\n",
              "   'FTH1',\n",
              "   'SLC46A1',\n",
              "   'PPOX',\n",
              "   'CPOX',\n",
              "   'HCCS',\n",
              "   'ALAS1',\n",
              "   'HMBS',\n",
              "   'SLCO1B1',\n",
              "   'ALAD',\n",
              "   'HMOX1',\n",
              "   'BLVRB',\n",
              "   'HMOX2',\n",
              "   'FTMT',\n",
              "   'UROD',\n",
              "   'SLCO1B3',\n",
              "   'CYBRD1',\n",
              "   'FECH',\n",
              "   'ALAS2'],\n",
              "  'all_glycogenesis': ['GSK3A',\n",
              "   'GBE1',\n",
              "   'GYS1',\n",
              "   'PGM2',\n",
              "   'GSK3B',\n",
              "   'GYS2',\n",
              "   'UGP2',\n",
              "   'PGM1'],\n",
              "  'all_heparan-sulfate_degradation': ['NAGLU',\n",
              "   'IDUA',\n",
              "   'SGSH',\n",
              "   'GNS',\n",
              "   'IDS',\n",
              "   'AC244197.3',\n",
              "   'GUSB'],\n",
              "  'all_creatinine_metabolism': ['CKMT1B',\n",
              "   'GAMT',\n",
              "   'CKM',\n",
              "   'CKMT2',\n",
              "   'CKB',\n",
              "   'GATM'],\n",
              "  'all_GPI-anchor_synthesis': ['PIGZ',\n",
              "   'PIGT',\n",
              "   'PIGM',\n",
              "   'PIGB',\n",
              "   'GPAA1',\n",
              "   'PIGV',\n",
              "   'PIGF',\n",
              "   'PIGK',\n",
              "   'PIGP',\n",
              "   'PIGO',\n",
              "   'PGAP1',\n",
              "   'PIGX',\n",
              "   'DPM2',\n",
              "   'PIGQ',\n",
              "   'PIGL',\n",
              "   'PIGN',\n",
              "   'PIGG',\n",
              "   'PIGS',\n",
              "   'PIGC',\n",
              "   'PIGW',\n",
              "   'PIGH',\n",
              "   'PIGA'],\n",
              "  'all_type-II-ifn-response': ['HLA-DPA1',\n",
              "   'CXCL10',\n",
              "   'HLA-DRA',\n",
              "   'HLA-G',\n",
              "   'HLA-DMB',\n",
              "   'HLA-DMA',\n",
              "   'HLA-DOB',\n",
              "   'MYC',\n",
              "   'CD274',\n",
              "   'HLA-DRB3',\n",
              "   'HLA-DPB1',\n",
              "   'IRF1',\n",
              "   'CXCL9',\n",
              "   'HLA-DRB4',\n",
              "   'HLA-DQA1',\n",
              "   'HLA-DQB1',\n",
              "   'HLA-E'],\n",
              "  'all_glycogenolysis': ['AGL',\n",
              "   'PHKA1',\n",
              "   'PHKB',\n",
              "   'PHKG2',\n",
              "   'PYGM',\n",
              "   'PGM3',\n",
              "   'PHKG1',\n",
              "   'PYGL'],\n",
              "  'all_G2M-transition': ['H2BC19P',\n",
              "   'H1-4',\n",
              "   'H4C11',\n",
              "   'H4C14',\n",
              "   'H2BC17',\n",
              "   'H2AC18',\n",
              "   'H4C8',\n",
              "   'H2BC10',\n",
              "   'H3-2',\n",
              "   'H2BC4',\n",
              "   'H2BC9',\n",
              "   'H2BC11',\n",
              "   'H4C13',\n",
              "   'H3C11',\n",
              "   'H2AC21',\n",
              "   'H3C15',\n",
              "   'H2BC15',\n",
              "   'H4C9',\n",
              "   'H2AC16',\n",
              "   'H2AC19',\n",
              "   'H3C10',\n",
              "   'H2AC20',\n",
              "   'H2BP2',\n",
              "   'H2BC21',\n",
              "   'H2BP1',\n",
              "   'H4C12',\n",
              "   'H3C6',\n",
              "   'H3C8',\n",
              "   'H2BC12',\n",
              "   'H2AZP3',\n",
              "   'CCNE2',\n",
              "   'H2AC4',\n",
              "   'H2BU1',\n",
              "   'H4-16',\n",
              "   'SLBP',\n",
              "   'H1-6',\n",
              "   'H4C5',\n",
              "   'H2AZP1',\n",
              "   'H1-12P',\n",
              "   'H3C12',\n",
              "   'H2AW',\n",
              "   'BRCA1',\n",
              "   'H1-2',\n",
              "   'H3C1',\n",
              "   'H2AC17',\n",
              "   'H4C2',\n",
              "   'TYMS',\n",
              "   'H3C4',\n",
              "   'H2AC15',\n",
              "   'MACROH2A1',\n",
              "   'H2AZP5',\n",
              "   'H3C3',\n",
              "   'MSH2',\n",
              "   'H3P38',\n",
              "   'H3C13',\n",
              "   'H2BC18',\n",
              "   'H2AZP2',\n",
              "   'H2BC6',\n",
              "   'H2AC11',\n",
              "   'H2AB3',\n",
              "   'CDKN3',\n",
              "   'NASP',\n",
              "   'H2AC12',\n",
              "   'H2AZP6',\n",
              "   'H4C15',\n",
              "   'E2F5',\n",
              "   'CCNE1',\n",
              "   'H1-5',\n",
              "   'H2BC14',\n",
              "   'H3-5',\n",
              "   'NPAT',\n",
              "   'H2AC13',\n",
              "   'H3-3B',\n",
              "   'CDKN1A',\n",
              "   'H4C3',\n",
              "   'H1-0',\n",
              "   'H2AZP4',\n",
              "   'E2F1',\n",
              "   'H2AC6',\n",
              "   'RRM1',\n",
              "   'H2AC1',\n",
              "   'H1-7',\n",
              "   'H2BC20P',\n",
              "   'CDC45',\n",
              "   'H2BU2P',\n",
              "   'H2AC14',\n",
              "   'DHFR',\n",
              "   'H2BC8',\n",
              "   'H1-8',\n",
              "   'H3C14',\n",
              "   'H2AZ1',\n",
              "   'H2AB1',\n",
              "   'H2AC8',\n",
              "   'H2AJ',\n",
              "   'H2AC7',\n",
              "   'MCM6',\n",
              "   'H2BC5',\n",
              "   'H1-3',\n",
              "   'H1-1',\n",
              "   'H2AZ2P1',\n",
              "   'H3P37',\n",
              "   'H3C2',\n",
              "   'H1-10',\n",
              "   'BRCA2',\n",
              "   'MACROH2A2',\n",
              "   'H3C7',\n",
              "   'H2AB2',\n",
              "   'MCM2',\n",
              "   'H3-3A',\n",
              "   'H2BC1',\n",
              "   'H4C6',\n",
              "   'H2BC7',\n",
              "   'MKI67',\n",
              "   'H2BW1',\n",
              "   'CDC6',\n",
              "   'H2AX',\n",
              "   'H2AZ2',\n",
              "   'CDKN2C',\n",
              "   'PCNA',\n",
              "   'RRM2',\n",
              "   'H4C4',\n",
              "   'CCNG2',\n",
              "   'CDC25A',\n",
              "   'H4C1',\n",
              "   'H4C7',\n",
              "   'H3-4',\n",
              "   'H2BS1',\n",
              "   'H2BW2',\n",
              "   'H2BC3',\n",
              "   'H2BC13'],\n",
              "  'all_IL6-JAK-STAT3_signaling': ['TYK2',\n",
              "   'IL18R1',\n",
              "   'ITGA4',\n",
              "   'CSF2RA',\n",
              "   'SOCS1',\n",
              "   'CXCL11',\n",
              "   'CD14',\n",
              "   'IFNAR1',\n",
              "   'IFNGR1',\n",
              "   'LTB',\n",
              "   'MAP3K8',\n",
              "   'EBI3',\n",
              "   'IL1B',\n",
              "   'CBL',\n",
              "   'STAT1',\n",
              "   'PIK3R5',\n",
              "   'DNTT',\n",
              "   'STAT3',\n",
              "   'CNTFR',\n",
              "   'SOCS3',\n",
              "   'REG1A',\n",
              "   'TNFRSF12A',\n",
              "   'CXCL3',\n",
              "   'CD44',\n",
              "   'CD38',\n",
              "   'IL4R',\n",
              "   'CSF2RB',\n",
              "   'ITGB3',\n",
              "   'FAS',\n",
              "   'HMOX1',\n",
              "   'IRF1',\n",
              "   'INHBE',\n",
              "   'PF4',\n",
              "   'MYD88',\n",
              "   'GRB2',\n",
              "   'STAM2',\n",
              "   'ACVRL1',\n",
              "   'CXCL13',\n",
              "   'TNFRSF1A',\n",
              "   'PTPN11',\n",
              "   'PLA2G2A',\n",
              "   'TGFB1',\n",
              "   'CCR1',\n",
              "   'CXCL9',\n",
              "   'LTBR',\n",
              "   'JUN',\n",
              "   'IL3RA',\n",
              "   'ACVR1B',\n",
              "   'OSMR',\n",
              "   'TNF',\n",
              "   'TNFRSF1B',\n",
              "   'HAX1',\n",
              "   'BAK1',\n",
              "   'IL15RA',\n",
              "   'CXCL1',\n",
              "   'IL12RB1',\n",
              "   'LEPR',\n",
              "   'CSF1',\n",
              "   'TNFRSF21',\n",
              "   'IL1R1',\n",
              "   'CCL7',\n",
              "   'IL13RA1',\n",
              "   'PIM1',\n",
              "   'IL2RA',\n",
              "   'CSF2',\n",
              "   'IL6',\n",
              "   'IRF9',\n",
              "   'CD9',\n",
              "   'IL6ST',\n",
              "   'STAT2',\n",
              "   'IL1R2',\n",
              "   'A2M',\n",
              "   'CD36',\n",
              "   'PDGFC',\n",
              "   'TLR2',\n",
              "   'CRLF2',\n",
              "   'IL9R',\n",
              "   'CXCL10',\n",
              "   'IL2RG',\n",
              "   'IFNGR2',\n",
              "   'IL17RB',\n",
              "   'IL17RA',\n",
              "   'PTPN1',\n",
              "   'IL7',\n",
              "   'IL10RB',\n",
              "   'CSF3R',\n",
              "   'PTPN2'],\n",
              "  'all_MHC-II-presentation': ['HLA-DQB3',\n",
              "   'HLA-DQA1',\n",
              "   'HLA-DPA2',\n",
              "   'HLA-DQA2',\n",
              "   'HLA-DPB2',\n",
              "   'RILP',\n",
              "   'CD74',\n",
              "   'RELA',\n",
              "   'RAB7B',\n",
              "   'HLA-DRB1',\n",
              "   'HLA-DRA',\n",
              "   'NFYB',\n",
              "   'HLA-DMB',\n",
              "   'RAB7A',\n",
              "   'AP2M1',\n",
              "   'HLA-DRB6',\n",
              "   'AP2A1',\n",
              "   'ARL14EP',\n",
              "   'ARL14',\n",
              "   'SPI1',\n",
              "   'HLA-DMA',\n",
              "   'AP2B1',\n",
              "   'HLA-DRB5',\n",
              "   'HLA-DQB1',\n",
              "   'RFX5',\n",
              "   'HLA-DPA3',\n",
              "   'MYO1E',\n",
              "   'NFYA',\n",
              "   'SP1',\n",
              "   'CREB1',\n",
              "   'HLA-DPB1',\n",
              "   'AP2S1',\n",
              "   'HLA-DQB2',\n",
              "   'CD83',\n",
              "   'HLA-DPA1',\n",
              "   'HLA-DOB',\n",
              "   'NFYC',\n",
              "   'IRF8',\n",
              "   'CIITA',\n",
              "   'AP2A2',\n",
              "   'HLA-DRB9'],\n",
              "  'all_hypoxia-response': ['PLAC8',\n",
              "   'PPARGC1A',\n",
              "   'LDHC',\n",
              "   'DPYSL4',\n",
              "   'COL5A1',\n",
              "   'SLC37A4',\n",
              "   'PFKP',\n",
              "   'MIF',\n",
              "   'IRS2',\n",
              "   'CDKN1B',\n",
              "   'SDC4',\n",
              "   'RORA',\n",
              "   'AKAP12',\n",
              "   'NR3C1',\n",
              "   'GPC4',\n",
              "   'PPFIA4',\n",
              "   'PKLR',\n",
              "   'IDS',\n",
              "   'IGFBP3',\n",
              "   'XPNPEP1',\n",
              "   'KLF7',\n",
              "   'PHKG1',\n",
              "   'KLHL24',\n",
              "   'ARNT',\n",
              "   'SDC3',\n",
              "   'IL6',\n",
              "   'PDK1',\n",
              "   'AK4',\n",
              "   'GPC1',\n",
              "   'BTG1',\n",
              "   'ANXA2',\n",
              "   'SLC2A5',\n",
              "   'NOCT',\n",
              "   'CCNG2',\n",
              "   'FAM162A',\n",
              "   'CAVIN1',\n",
              "   'EDN2',\n",
              "   'VLDLR',\n",
              "   'PYGM',\n",
              "   'GAA',\n",
              "   'PAM',\n",
              "   'IGFBP1',\n",
              "   'MAFF',\n",
              "   'KLF6',\n",
              "   'NAGK',\n",
              "   'ALDOC',\n",
              "   'TPD52',\n",
              "   'CXCR4',\n",
              "   'IER3',\n",
              "   'JMJD6',\n",
              "   'SRPX',\n",
              "   'FOXO3',\n",
              "   'MAP3K1',\n",
              "   'PIM1',\n",
              "   'TGFB3',\n",
              "   'KIF5A',\n",
              "   'ANGPTL4',\n",
              "   'JUN',\n",
              "   'FOSL2',\n",
              "   'GBE1',\n",
              "   'PRKCA',\n",
              "   'BCAN',\n",
              "   'PRDX5',\n",
              "   'TES',\n",
              "   'TGM2',\n",
              "   'ISG20',\n",
              "   'DDIT3',\n",
              "   'CAV1',\n",
              "   'HK2',\n",
              "   'CITED2',\n",
              "   'B4GALNT2',\n",
              "   'SELENBP1',\n",
              "   'SLC25A1',\n",
              "   'MXI1',\n",
              "   'CSRP2',\n",
              "   'ARNT2',\n",
              "   'SIAH2',\n",
              "   'SLC2A3',\n",
              "   'ALDOA',\n",
              "   'BNIP3L',\n",
              "   'PPP1R15A',\n",
              "   'CA12',\n",
              "   'GRHPR',\n",
              "   'PNRC1',\n",
              "   'NDST1',\n",
              "   'GPI',\n",
              "   'ERRFI1',\n",
              "   'PGF',\n",
              "   'INHA',\n",
              "   'PGAM2',\n",
              "   'STC2',\n",
              "   'TPBG',\n",
              "   'EPAS1',\n",
              "   'SULT2B1',\n",
              "   'DUSP1',\n",
              "   'LDHA',\n",
              "   'P4HA2',\n",
              "   'PCK1',\n",
              "   'CAVIN3',\n",
              "   'GAPDHS',\n",
              "   'PLAUR',\n",
              "   'ENO1',\n",
              "   'STC1',\n",
              "   'FBP1',\n",
              "   'EFNA3',\n",
              "   'HK1',\n",
              "   'CCN5',\n",
              "   'BRS3',\n",
              "   'HSPA5',\n",
              "   'MT1E',\n",
              "   'SDC2',\n",
              "   'CHST2',\n",
              "   'RRAGD',\n",
              "   'HDLBP',\n",
              "   'ALDOB',\n",
              "   'SLC2A1',\n",
              "   'NCAN',\n",
              "   'ERO1A',\n",
              "   'GPC3',\n",
              "   'HEXA',\n",
              "   'LALBA',\n",
              "   'VEGFA',\n",
              "   'PFKFB3',\n",
              "   'ZNF292',\n",
              "   'ADORA2B',\n",
              "   'HAS1',\n",
              "   'F3',\n",
              "   'ENO2',\n",
              "   'UGP2',\n",
              "   'EXT1',\n",
              "   'EGFR',\n",
              "   'CDKN1C',\n",
              "   'ZFP36',\n",
              "   'S100A4',\n",
              "   'MYH9',\n",
              "   'MT2A',\n",
              "   'RBPJ',\n",
              "   'NEDD4L',\n",
              "   'TKTL1',\n",
              "   'CHST3',\n",
              "   'TNFAIP3',\n",
              "   'KDM3A',\n",
              "   'WSB1',\n",
              "   'GALK1',\n",
              "   'CP',\n",
              "   'PGK1',\n",
              "   'GAPDH',\n",
              "   'LARGE1',\n",
              "   'PKP1',\n",
              "   'PDK3',\n",
              "   'ETS1',\n",
              "   'B3GALT6',\n",
              "   'CCN2',\n",
              "   'ADM',\n",
              "   'SCARB1',\n",
              "   'ACKR3',\n",
              "   'SAP30',\n",
              "   'GCK',\n",
              "   'SLC6A6',\n",
              "   'CDKN1A',\n",
              "   'PGM1',\n",
              "   'STBD1',\n",
              "   'DTNA',\n",
              "   'ENO3',\n",
              "   'GLRX',\n",
              "   'BGN',\n",
              "   'TMEM45A',\n",
              "   'VHL',\n",
              "   'ATF3',\n",
              "   'PGM2',\n",
              "   'CASP6',\n",
              "   'EFNA1',\n",
              "   'BCL2',\n",
              "   'PDGFB',\n",
              "   'NFIL3',\n",
              "   'LXN',\n",
              "   'NDST2',\n",
              "   'SERPINE1',\n",
              "   'HOXB9',\n",
              "   'HIF3A',\n",
              "   'HIF1A',\n",
              "   'CCN1',\n",
              "   'NDRG1',\n",
              "   'P4HA1',\n",
              "   'GCNT2',\n",
              "   'LOX',\n",
              "   'PPP1R3C',\n",
              "   'TGFBI',\n",
              "   'PLIN2',\n",
              "   'AMPD3',\n",
              "   'FOS',\n",
              "   'HMOX1',\n",
              "   'ILVBL',\n",
              "   'HS3ST1',\n",
              "   'GYS1',\n",
              "   'TPI1',\n",
              "   'TPST2',\n",
              "   'PFKL',\n",
              "   'TIPARP',\n",
              "   'KDELR3',\n",
              "   'DDIT4',\n",
              "   'ATP7A',\n",
              "   'BHLHE40',\n",
              "   'DCN'],\n",
              "  'all_biotin_metabolism': ['HLCS', 'SLC16A1', 'BTD', 'SLC5A6', 'SLC19A3'],\n",
              "  'all_autophagy-of-mitochondria': ['FIS1',\n",
              "   'PPARGC1A',\n",
              "   'FZD5',\n",
              "   'ATP13A2',\n",
              "   'FUNDC2',\n",
              "   'SPATA18',\n",
              "   'TP53',\n",
              "   'TIGAR',\n",
              "   'PARL',\n",
              "   'ATG9B',\n",
              "   'CSNK2A2',\n",
              "   'CLEC16A',\n",
              "   'VPS13D',\n",
              "   'GABARAPL3',\n",
              "   'PRKN',\n",
              "   'BNIP3',\n",
              "   'GABARAP',\n",
              "   'SQSTM1',\n",
              "   'VDAC1',\n",
              "   'OPTN',\n",
              "   'HIF1A',\n",
              "   'HDAC6',\n",
              "   'TOMM7',\n",
              "   'USP36',\n",
              "   'SREBF2',\n",
              "   'ATG2A',\n",
              "   'SLC25A46',\n",
              "   'MUL1',\n",
              "   'CTTN',\n",
              "   'MFN2',\n",
              "   'VPS13C',\n",
              "   'WDR45B',\n",
              "   'AMBRA1',\n",
              "   'ATP5IF1',\n",
              "   'CISD2',\n",
              "   'PHB2',\n",
              "   'ATG9A',\n",
              "   'BECN1',\n",
              "   'HUWE1',\n",
              "   'WIPI2',\n",
              "   'GBA',\n",
              "   'GABARAPL2',\n",
              "   'GSK3A',\n",
              "   'WDR45',\n",
              "   'PARK7',\n",
              "   'CTSK',\n",
              "   'FBXO7',\n",
              "   'BNIP3L',\n",
              "   'MAP1LC3A',\n",
              "   'CDC37',\n",
              "   'ATG2B',\n",
              "   'FBXW7',\n",
              "   'FUNDC1',\n",
              "   'ATG12',\n",
              "   'AC131160.1',\n",
              "   'HTRA2',\n",
              "   'ATG13',\n",
              "   'MAP1LC3B',\n",
              "   'RB1CC1',\n",
              "   'MARK2',\n",
              "   'WIPI1',\n",
              "   'ATG5',\n",
              "   'HK2',\n",
              "   'PINK1',\n",
              "   'TSPO',\n",
              "   'MAP1LC3C',\n",
              "   'RNF41',\n",
              "   'CAMKK2',\n",
              "   'ATG14',\n",
              "   'ATG3',\n",
              "   'GABARAPL1',\n",
              "   'ATG7',\n",
              "   'HAX1',\n",
              "   'DNM1L',\n",
              "   'HTT',\n",
              "   'USP30',\n",
              "   'TSC2',\n",
              "   'SMURF1',\n",
              "   'SREBF1',\n",
              "   'MAP1LC3B2'],\n",
              "  'all_urea-cycle': ['AQP9',\n",
              "   'NOS3',\n",
              "   'ACY1',\n",
              "   'SLC14A2',\n",
              "   'OTC',\n",
              "   'AOC1',\n",
              "   'GATM',\n",
              "   'ASS1',\n",
              "   'ASL',\n",
              "   'CPS1',\n",
              "   'SLC14A1',\n",
              "   'NOS1',\n",
              "   'ARG1',\n",
              "   'ARG2'],\n",
              "  'all_pyrimidine_metabolism': ['UPP1',\n",
              "   'UPB1',\n",
              "   'DPYSL3',\n",
              "   'AICDA',\n",
              "   'TK1',\n",
              "   'NT5C',\n",
              "   'TK2',\n",
              "   'CTPS1',\n",
              "   'DPYS',\n",
              "   'SLC28A3',\n",
              "   'CDA',\n",
              "   'SLC29A1',\n",
              "   'DPYSL2',\n",
              "   'ALDH6A1',\n",
              "   'UCK2',\n",
              "   'DPYD',\n",
              "   'DUT',\n",
              "   'UCK1',\n",
              "   'CTPS2',\n",
              "   'UPP2',\n",
              "   'DCTD',\n",
              "   'SLC28A1'],\n",
              "  'all_actin-cytoskeleton_regulation': ['RDX',\n",
              "   'FGF8',\n",
              "   'TIAM2',\n",
              "   'NCKAP1L',\n",
              "   'MYL2',\n",
              "   'NCKAP1',\n",
              "   'IQGAP2',\n",
              "   'SSH1',\n",
              "   'ITGA1',\n",
              "   'PTK2',\n",
              "   'WAS',\n",
              "   'ITGA6',\n",
              "   'PDGFB',\n",
              "   'FN1',\n",
              "   'CYFIP1',\n",
              "   'FGF17',\n",
              "   'FGF3',\n",
              "   'PFN3',\n",
              "   'IQGAP3',\n",
              "   'ACTN1',\n",
              "   'BDKRB2',\n",
              "   'PFN1',\n",
              "   'PIP5K1C',\n",
              "   'TMSB4X',\n",
              "   'PAK4',\n",
              "   'FGF20',\n",
              "   'SSH3',\n",
              "   'FGF11',\n",
              "   'VAV1',\n",
              "   'F2',\n",
              "   'CHRM4',\n",
              "   'WASF2',\n",
              "   'MOS',\n",
              "   'LIMK2',\n",
              "   'ARPC3',\n",
              "   'ARHGEF4',\n",
              "   'ARHGEF6',\n",
              "   'VAV2',\n",
              "   'GNA12',\n",
              "   'ITGA9',\n",
              "   'MYL9',\n",
              "   'ARHGAP35',\n",
              "   'RHOA',\n",
              "   'FGFR3',\n",
              "   'ITGAD',\n",
              "   'PIP4K2A',\n",
              "   'ARPC1B',\n",
              "   'RAC2',\n",
              "   'CSK',\n",
              "   'GNA13',\n",
              "   'ARPC1A',\n",
              "   'ITGA5',\n",
              "   'ITGA2',\n",
              "   'FGF5',\n",
              "   'MYLK',\n",
              "   'DIAPH1',\n",
              "   'PIK3CB',\n",
              "   'EGFR',\n",
              "   'SSH2',\n",
              "   'FGF4',\n",
              "   'ITGAX',\n",
              "   'PAK5',\n",
              "   'ARAF',\n",
              "   'PPP1CA',\n",
              "   'BAIAP2',\n",
              "   'PIK3CA',\n",
              "   'CDC42',\n",
              "   'PDGFC',\n",
              "   'ITGA10',\n",
              "   'PAK1',\n",
              "   'FGD3',\n",
              "   'FGF14',\n",
              "   'DIAPH3',\n",
              "   'ABI2',\n",
              "   'MYH10',\n",
              "   'MYL12A',\n",
              "   'FGFR4',\n",
              "   'PDGFA',\n",
              "   'ITGB5',\n",
              "   'ENAH',\n",
              "   'ITGA3',\n",
              "   'FGF1',\n",
              "   'EGF',\n",
              "   'PAK3',\n",
              "   'MAPK3',\n",
              "   'CRKL',\n",
              "   'MAP2K1',\n",
              "   'SOS1',\n",
              "   'FGF16',\n",
              "   'CHRM5',\n",
              "   'CFL2',\n",
              "   'GNG12',\n",
              "   'PFN4',\n",
              "   'FGF18',\n",
              "   'ROCK1',\n",
              "   'PPP1CB',\n",
              "   'CD14',\n",
              "   'ARPC2',\n",
              "   'ITGAV',\n",
              "   'RAC3',\n",
              "   'WASL',\n",
              "   'EZR',\n",
              "   'MAPK1',\n",
              "   'ARPC5L',\n",
              "   'FGF7',\n",
              "   'ITGB2',\n",
              "   'FGF22',\n",
              "   'RAC1',\n",
              "   'WASF1',\n",
              "   'INSRR',\n",
              "   'PIK3CD',\n",
              "   'ITGB7',\n",
              "   'ITGA8',\n",
              "   'CRK',\n",
              "   'PIK3R2',\n",
              "   'FGF13',\n",
              "   'PDGFRA',\n",
              "   'ITGB6',\n",
              "   'PIP4K2B',\n",
              "   'PIK3R3',\n",
              "   'GSN',\n",
              "   'ITGB1',\n",
              "   'CFL1',\n",
              "   'DIAPH2',\n",
              "   'MRAS',\n",
              "   'MYLPF',\n",
              "   'BCAR1',\n",
              "   'TIAM1',\n",
              "   'APC',\n",
              "   'RAF1',\n",
              "   'RRAS2',\n",
              "   'ITGB8',\n",
              "   'ARPC5',\n",
              "   'TMSB4XP8',\n",
              "   'VAV3',\n",
              "   'PDGFD',\n",
              "   'ITGA11',\n",
              "   'ITGAE',\n",
              "   'PIP4K2C',\n",
              "   'MYH9',\n",
              "   'F2R',\n",
              "   'CHRM3',\n",
              "   'CHRM2',\n",
              "   'ACTN3',\n",
              "   'ACTN2',\n",
              "   'FGF10',\n",
              "   'MYL5',\n",
              "   'FGF2',\n",
              "   'ROCK2',\n",
              "   'FGF12',\n",
              "   'PIP5K1B',\n",
              "   'SCIN',\n",
              "   'MYL10',\n",
              "   'ITGB4',\n",
              "   'ARHGEF1',\n",
              "   'MSN',\n",
              "   'PIK3CG',\n",
              "   'DOCK1',\n",
              "   'FGF19',\n",
              "   'PXN',\n",
              "   'MYH14',\n",
              "   'CYFIP2',\n",
              "   'PAK2',\n",
              "   'SOS2',\n",
              "   'FGFR2',\n",
              "   'ITGAM',\n",
              "   'MYLK3',\n",
              "   'APC2',\n",
              "   'NRAS',\n",
              "   'PIKFYVE',\n",
              "   'ARHGEF12',\n",
              "   'PPP1R12A',\n",
              "   'FGD1',\n",
              "   'LIMK1',\n",
              "   'PIP5K1A',\n",
              "   'CHRM1',\n",
              "   'PIK3R5',\n",
              "   'FGF9',\n",
              "   'RNASE1',\n",
              "   'ITGAL',\n",
              "   'ACTN4',\n",
              "   'FGF6',\n",
              "   'ACTG1',\n",
              "   'ITGA4',\n",
              "   'BRK1',\n",
              "   'ITGB3',\n",
              "   'ITGA2B',\n",
              "   'PDGFRB',\n",
              "   'RRAS',\n",
              "   'MYLK2',\n",
              "   'FGF21',\n",
              "   'IQGAP1',\n",
              "   'ACTB',\n",
              "   'PFN2',\n",
              "   'GIT1',\n",
              "   'BDKRB1',\n",
              "   'PAK6',\n",
              "   'MYL7',\n",
              "   'FGFR1',\n",
              "   'MAP2K2',\n",
              "   'FGF23',\n",
              "   'HRAS',\n",
              "   'TMSB4Y',\n",
              "   'BRAF',\n",
              "   'KRAS',\n",
              "   'SLC9A1',\n",
              "   'INS',\n",
              "   'VCL',\n",
              "   'ARPC4',\n",
              "   'MYL12B',\n",
              "   'PIK3R1',\n",
              "   'ITGA7',\n",
              "   'PPP1CC',\n",
              "   'ARHGEF7'],\n",
              "  'all_nucleotide_metabolism': ['ENTPD4',\n",
              "   'NME3',\n",
              "   'PAPSS1',\n",
              "   'NUDT9',\n",
              "   'SLC29A1',\n",
              "   'BPNT1',\n",
              "   'ABCC4',\n",
              "   'DGUOK',\n",
              "   'ENTPD5',\n",
              "   'ENPP2',\n",
              "   'ENPP3',\n",
              "   'ENTPD3',\n",
              "   'NME7',\n",
              "   'DCK',\n",
              "   'ENTPD2',\n",
              "   'ENTPD6',\n",
              "   'NME2',\n",
              "   'CANT1',\n",
              "   'NUDT2',\n",
              "   'NME1',\n",
              "   'ENPP1',\n",
              "   'NME6',\n",
              "   'PAPSS2',\n",
              "   'NUDT5',\n",
              "   'NME4',\n",
              "   'ENTPD1'],\n",
              "  'all_LYS_metabolism': ['AASS',\n",
              "   'SLC3A1',\n",
              "   'PIPOX',\n",
              "   'SLC7A1',\n",
              "   'AADAT',\n",
              "   'TMLHE',\n",
              "   'SLC38A4',\n",
              "   'SPCS3',\n",
              "   'BBOX1',\n",
              "   'ALDH2',\n",
              "   'GCDH',\n",
              "   'SLC25A21',\n",
              "   'ALDH7A1',\n",
              "   'SLC6A14',\n",
              "   'SPCS2',\n",
              "   'SLC7A2',\n",
              "   'SPCS1',\n",
              "   'SLC7A3'],\n",
              "  'all_type-I-ifn-response': ['LY6E',\n",
              "   'TREX1',\n",
              "   'DDX58',\n",
              "   'IFI44L',\n",
              "   'MCOLN2',\n",
              "   'RTP4',\n",
              "   'NAMPT',\n",
              "   'ISG15',\n",
              "   'IRF1',\n",
              "   'IFI6',\n",
              "   'TENT5C',\n",
              "   'IFIH1',\n",
              "   'MX1',\n",
              "   'OASL',\n",
              "   'IFITM3',\n",
              "   'IFITM2',\n",
              "   'ADAR'],\n",
              "  'all_autophagy-peroxisome': ['PIK3R4',\n",
              "   'TRAPPC8',\n",
              "   'ACBD5',\n",
              "   'RB1CC1',\n",
              "   'PIK3C3'],\n",
              "  'all_galactose_metabolism': ['SLC2A10',\n",
              "   'B4GALT2',\n",
              "   'SLC2A2',\n",
              "   'LCT',\n",
              "   'SLC2A8',\n",
              "   'SLC5A11',\n",
              "   'GALE',\n",
              "   'SLC5A9',\n",
              "   'GLB1',\n",
              "   'SLC5A1',\n",
              "   'GALK1',\n",
              "   'SLC2A3',\n",
              "   'UGP2',\n",
              "   'NEU1',\n",
              "   'LALBA',\n",
              "   'SI',\n",
              "   'GALK2',\n",
              "   'B4GALT1',\n",
              "   'SLC2A4',\n",
              "   'GALT'],\n",
              "  'all_citric-acid-cycle': ['IDH3A',\n",
              "   'FH',\n",
              "   'PDHB',\n",
              "   'SLC13A3',\n",
              "   'SLC13A2',\n",
              "   'SLC25A10',\n",
              "   'ADSL',\n",
              "   'FAHD1',\n",
              "   'ME3',\n",
              "   'GOT2',\n",
              "   'IDH2',\n",
              "   'SUCLG2',\n",
              "   'ACSS2',\n",
              "   'ACSS1',\n",
              "   'SLC16A7',\n",
              "   'PDHX',\n",
              "   'SDHB',\n",
              "   'DLD',\n",
              "   'PCK1',\n",
              "   'ACO2',\n",
              "   'DLAT',\n",
              "   'ACO1',\n",
              "   'PCK2',\n",
              "   'IDH3G',\n",
              "   'CLYBL',\n",
              "   'ALDH4A1',\n",
              "   'SLC33A1',\n",
              "   'SLC25A11',\n",
              "   'SLC25A1',\n",
              "   'ALDH5A1',\n",
              "   'GOT1',\n",
              "   'SDHD',\n",
              "   'PC',\n",
              "   'SLC16A1',\n",
              "   'OGDH',\n",
              "   'SLC5A6',\n",
              "   'ACLY',\n",
              "   'IDH1',\n",
              "   'ME1',\n",
              "   'MDH1',\n",
              "   'SUCLG1',\n",
              "   'IREB2',\n",
              "   'ALDH1B1',\n",
              "   'SLC16A8',\n",
              "   'SLC13A5',\n",
              "   'FAH',\n",
              "   'PDHA2',\n",
              "   'MDH1B',\n",
              "   'CS',\n",
              "   'SUCLA2',\n",
              "   'DLST',\n",
              "   'PDHA1',\n",
              "   'SDHA',\n",
              "   'IDH3B',\n",
              "   'SDHC',\n",
              "   'ME2',\n",
              "   'MDH2'],\n",
              "  'all_ubiquinone_synthesis': ['COQ6',\n",
              "   'COQ3',\n",
              "   'HMGCR',\n",
              "   'COQ2',\n",
              "   'COQ7',\n",
              "   'FDPS'],\n",
              "  'all_hedgehog_signaling': ['ACHE',\n",
              "   'VLDLR',\n",
              "   'CDK6',\n",
              "   'NRP2',\n",
              "   'KLF4',\n",
              "   'PTCH1',\n",
              "   'NF1',\n",
              "   'NRCAM',\n",
              "   'L1CAM',\n",
              "   'OPHN1',\n",
              "   'PML',\n",
              "   'ADGRG1',\n",
              "   'NRP1',\n",
              "   'PLG',\n",
              "   'HEY1',\n",
              "   'UNC5C',\n",
              "   'TLE3',\n",
              "   'SLIT1',\n",
              "   'LDB1',\n",
              "   'CELSR1',\n",
              "   'RASA1',\n",
              "   'RTN1',\n",
              "   'THY1',\n",
              "   'HEY2',\n",
              "   'DPYSL2',\n",
              "   'TLE1',\n",
              "   'VEGFA',\n",
              "   'CRMP1',\n",
              "   'CDK5R1',\n",
              "   'NKX6-1',\n",
              "   'MYH9',\n",
              "   'AMOT',\n",
              "   'ETS2',\n",
              "   'GLI1',\n",
              "   'SHH',\n",
              "   'SCG2',\n",
              "   'CNTFR'],\n",
              "  'all_autophagy-of-mitochondria_regulation_positive': ['HUWE1',\n",
              "   'SMURF1',\n",
              "   'HK2',\n",
              "   'VPS13D',\n",
              "   'HIF1A',\n",
              "   'MFN2',\n",
              "   'HTT',\n",
              "   'FBXO7',\n",
              "   'OPTN',\n",
              "   'GBA',\n",
              "   'BNIP3',\n",
              "   'CDC37',\n",
              "   'ATP5IF1',\n",
              "   'PARK7',\n",
              "   'PINK1',\n",
              "   'CAMKK2',\n",
              "   'VPS13C',\n",
              "   'PRKN',\n",
              "   'MUL1',\n",
              "   'TOMM7',\n",
              "   'HDAC6'],\n",
              "  'all_macroautophagy': ['VPS25',\n",
              "   'ATP6V0E1',\n",
              "   'ATP6V0E2',\n",
              "   'WDR45',\n",
              "   'GNAI3',\n",
              "   'TBC1D14',\n",
              "   'VPS37D',\n",
              "   'ATG9A',\n",
              "   'PSEN1',\n",
              "   'ULK1',\n",
              "   'VPS28',\n",
              "   'HUWE1',\n",
              "   'TOMM5',\n",
              "   'ELAPOR1',\n",
              "   'SCFD1',\n",
              "   'RAB23',\n",
              "   'MAP3K7',\n",
              "   'RAB19',\n",
              "   'KDR',\n",
              "   'RRAGD',\n",
              "   'HSPB8',\n",
              "   'SUPT5H',\n",
              "   'ILRUN',\n",
              "   'SMCR8',\n",
              "   'ATP13A2',\n",
              "   'PINK1',\n",
              "   'HGS',\n",
              "   'UBQLN1',\n",
              "   'RHEB',\n",
              "   'HDAC10',\n",
              "   'UBA5',\n",
              "   'WIPI1',\n",
              "   'ATG16L1',\n",
              "   'SLC38A9',\n",
              "   'RAB3GAP1',\n",
              "   'CHMP6',\n",
              "   'LAMTOR5',\n",
              "   'TOMM22',\n",
              "   'PIP4K2A',\n",
              "   'VPS33A',\n",
              "   'USP36',\n",
              "   'C9orf72',\n",
              "   'RAB1B',\n",
              "   'STX12',\n",
              "   'VPS36',\n",
              "   'LAMTOR1',\n",
              "   'ATG4B',\n",
              "   'WDR81',\n",
              "   'RUFY4',\n",
              "   'CDC37',\n",
              "   'FEZ2',\n",
              "   'STING1',\n",
              "   'VDAC1',\n",
              "   'LRRK2',\n",
              "   'STAM',\n",
              "   'LACRT',\n",
              "   'RAB1C',\n",
              "   'MAPK3',\n",
              "   'ATG13',\n",
              "   'ATP6V1C1',\n",
              "   'ATG12',\n",
              "   'PIP4K2C',\n",
              "   'GABARAPL1',\n",
              "   'LIX1L',\n",
              "   'UFL1',\n",
              "   'ATP6V1G1',\n",
              "   'GPSM1',\n",
              "   'PACS2',\n",
              "   'SESN2',\n",
              "   'CAPNS1',\n",
              "   'CHMP4C',\n",
              "   'TBC1D5',\n",
              "   'MTMR3',\n",
              "   'YOD1',\n",
              "   'CLN3',\n",
              "   'MTM1',\n",
              "   'MAP1LC3C',\n",
              "   'SESN3',\n",
              "   'RAB3GAP2',\n",
              "   'LAMTOR3',\n",
              "   'RAB5A',\n",
              "   'UFM1',\n",
              "   'VTA1',\n",
              "   'SYNPO2',\n",
              "   'TIGAR',\n",
              "   'UBQLN2',\n",
              "   'MAP1LC3A',\n",
              "   'MFN1',\n",
              "   'PIKFYVE',\n",
              "   'TSG101',\n",
              "   'SNX5',\n",
              "   'CHMP4A',\n",
              "   'HTRA2',\n",
              "   'FUNDC1',\n",
              "   'ATP6V0B',\n",
              "   'ZFYVE1',\n",
              "   'EXOC8',\n",
              "   'BECN2',\n",
              "   'BAG3',\n",
              "   'STAM2',\n",
              "   'ATG10',\n",
              "   'BNIP3',\n",
              "   'NRBP2',\n",
              "   'DCN',\n",
              "   'UVRAG',\n",
              "   'EPM2A',\n",
              "   'IKBKG',\n",
              "   'TRIM13',\n",
              "   'CSNK2B',\n",
              "   'WAC',\n",
              "   'LAMTOR2',\n",
              "   'ATG3',\n",
              "   'KLHL3',\n",
              "   'NUPR1',\n",
              "   'STX17',\n",
              "   'VPS37A',\n",
              "   'CDK5R1',\n",
              "   'FYCO1',\n",
              "   'ATP6V0D2',\n",
              "   'PIM2',\n",
              "   'UCHL1',\n",
              "   'ATG5',\n",
              "   'PRKAG1',\n",
              "   'UBXN2A',\n",
              "   'TMEM41B',\n",
              "   'AUP1',\n",
              "   'GABARAP',\n",
              "   'GABARAPL3',\n",
              "   'PAFAH1B2',\n",
              "   'RAB43',\n",
              "   'NBR1',\n",
              "   'SQSTM1',\n",
              "   'IFT20',\n",
              "   'BECN1',\n",
              "   'NOD1',\n",
              "   'CASP3',\n",
              "   'PRKAB1',\n",
              "   'ATP6V1H',\n",
              "   'LRSAM1',\n",
              "   'VPS37B',\n",
              "   'RAB1A',\n",
              "   'TOMM6',\n",
              "   'MTMR14',\n",
              "   'VPS35',\n",
              "   'IL4',\n",
              "   'LGALS8',\n",
              "   'CSNK2A2',\n",
              "   'UBXN6',\n",
              "   'SH3GLB1',\n",
              "   'TSC2',\n",
              "   'MLST8',\n",
              "   'UBXN2B',\n",
              "   'VPS41',\n",
              "   'CSNK2A1',\n",
              "   'ATP6V1D',\n",
              "   'VPS4A',\n",
              "   'PIP4K2B',\n",
              "   'SESN1',\n",
              "   'SMG1',\n",
              "   'VPS13D',\n",
              "   'TSC1',\n",
              "   'ADRB2',\n",
              "   'PHB2',\n",
              "   'GAPDH',\n",
              "   'PRKACA',\n",
              "   'NPRL3',\n",
              "   'WDFY3',\n",
              "   'TECPR1',\n",
              "   'RETREG3',\n",
              "   'ATG2A',\n",
              "   'PIK3R4',\n",
              "   'PIK3C2B',\n",
              "   'AC138894.1',\n",
              "   'RNF41',\n",
              "   'RAB7A',\n",
              "   'SMURF1',\n",
              "   'ATG9B',\n",
              "   'PIK3CA',\n",
              "   'LAMP2',\n",
              "   'GABARAPL2',\n",
              "   'HDAC6',\n",
              "   'TBC1D25',\n",
              "   'POLDIP2',\n",
              "   'GBA',\n",
              "   'BNIP3L',\n",
              "   'NPRL2',\n",
              "   'TBC1D12',\n",
              "   'RUBCN',\n",
              "   'TRAPPC8',\n",
              "   'TP53INP1',\n",
              "   'CDK5',\n",
              "   'VCP',\n",
              "   'SNAPIN',\n",
              "   'MAP1LC3B',\n",
              "   'SNAP29',\n",
              "   'SNX14',\n",
              "   'VAMP8',\n",
              "   'ATP6V1A',\n",
              "   'UBQLN4',\n",
              "   'VPS4B',\n",
              "   'TOMM40',\n",
              "   'EXOC7',\n",
              "   'CHMP2B',\n",
              "   'TBK1',\n",
              "   'ERN1',\n",
              "   'ATP6V0A2',\n",
              "   'PRKAG2',\n",
              "   'ATP6V1B2',\n",
              "   'CHMP2A',\n",
              "   'ATP6V0A1',\n",
              "   'CHMP3',\n",
              "   'ATG7',\n",
              "   'MAP1LC3B2',\n",
              "   'MFN2',\n",
              "   'PLAA',\n",
              "   'WIPI2',\n",
              "   'PRKAB2',\n",
              "   'ATG16L2',\n",
              "   'RETREG1',\n",
              "   'AKT1',\n",
              "   'ATP6V1C2',\n",
              "   'OPTN',\n",
              "   'MTERF3',\n",
              "   'IRGM',\n",
              "   'ATP6V1E1',\n",
              "   'PGAM5',\n",
              "   'RRAGC',\n",
              "   'DYNLL1',\n",
              "   'TOMM70',\n",
              "   'PRKAA2',\n",
              "   'SCOC',\n",
              "   'TCIRG1',\n",
              "   'LAMTOR4',\n",
              "   'SEC22B',\n",
              "   'RUBCNL',\n",
              "   'MVB12A',\n",
              "   'HIF1A',\n",
              "   'TP53INP2',\n",
              "   'HMOX1',\n",
              "   'RAB12',\n",
              "   'DDRGK1',\n",
              "   'ATP6V1G2',\n",
              "   'RALB',\n",
              "   'RRAGA',\n",
              "   'UFC1',\n",
              "   'CHMP4B',\n",
              "   'MTOR',\n",
              "   'RAB33B',\n",
              "   'TMEM74',\n",
              "   'VPS37C',\n",
              "   'TP53',\n",
              "   'TEX264',\n",
              "   'ATP6V0D1',\n",
              "   'PRKN',\n",
              "   'ATP6V1B1',\n",
              "   'SNX32',\n",
              "   'TOMM20',\n",
              "   'EXOC4',\n",
              "   'QSOX1',\n",
              "   'NPC1',\n",
              "   'SNF8',\n",
              "   'SPTLC1',\n",
              "   'AMBRA1',\n",
              "   'DYNLL2',\n",
              "   'TOMM7',\n",
              "   'PRKAA1',\n",
              "   'STBD1',\n",
              "   'EI24',\n",
              "   'RNF5',\n",
              "   'ATG2B',\n",
              "   'NSFL1C',\n",
              "   'HTT',\n",
              "   'NEDD4',\n",
              "   'MFSD8',\n",
              "   'RRAGB',\n",
              "   'ATP6V0C',\n",
              "   'PIK3C3',\n",
              "   'RPTOR',\n",
              "   'ATG101',\n",
              "   'PHF23',\n",
              "   'SRC',\n",
              "   'ATG14',\n",
              "   'ATP6V1E2',\n",
              "   'USP30',\n",
              "   'CALCOCO2',\n",
              "   'TMEM39A',\n",
              "   'AL662899.2',\n",
              "   'ADPRH',\n",
              "   'MAPK8',\n",
              "   'LARP1',\n",
              "   'VPS26B',\n",
              "   'SIRT1',\n",
              "   'LZTS1',\n",
              "   'EXOC1',\n",
              "   'MCOLN1',\n",
              "   'CAPN1',\n",
              "   'EMC6',\n",
              "   'SPTLC2',\n",
              "   'VPS26A',\n",
              "   'PRKAG3',\n",
              "   'VMP1',\n",
              "   'IFT88',\n",
              "   'VPS16',\n",
              "   'RB1CC1',\n",
              "   'RIPK2',\n",
              "   'EPG5',\n",
              "   'CLEC16A',\n",
              "   'WDR45B',\n",
              "   'VPS13C',\n",
              "   'FEZ1',\n",
              "   'SNX6',\n",
              "   'LIX1'],\n",
              "  'all_lipophagy': ['HTT',\n",
              "   'RAB7A',\n",
              "   'SESN2',\n",
              "   'ADRB2',\n",
              "   'SPTLC2',\n",
              "   'SPTLC1',\n",
              "   'AUP1'],\n",
              "  'all_steroid_metabolism': ['EBP',\n",
              "   'HSD17B8',\n",
              "   'SLCO1C1',\n",
              "   'PMVK',\n",
              "   'HSD17B1',\n",
              "   'CYP3A7',\n",
              "   'CYP17A1',\n",
              "   'NSDHL',\n",
              "   'CYP1B1',\n",
              "   'HSD3B1',\n",
              "   'AKR1D1',\n",
              "   'UGT2B28',\n",
              "   'SLCO4A1',\n",
              "   'HSD11B1',\n",
              "   'HSD11B2',\n",
              "   'ABCC4',\n",
              "   'UGT2B4',\n",
              "   'GGPS1',\n",
              "   'SLCO3A1',\n",
              "   'HSD17B12',\n",
              "   'SRD5A1',\n",
              "   'UGT1A10',\n",
              "   'HMGCS1',\n",
              "   'SOAT1',\n",
              "   'CYP19A1',\n",
              "   'MSMO1',\n",
              "   'UGT2B7',\n",
              "   'SLCO1B3',\n",
              "   'DHCR24',\n",
              "   'HSD17B2',\n",
              "   'SLCO1B1',\n",
              "   'SQLE',\n",
              "   'AKR1C4',\n",
              "   'FDFT1',\n",
              "   'MVD',\n",
              "   'ABCC1',\n",
              "   'HSD3B2',\n",
              "   'TM7SF2',\n",
              "   'SULT2B1',\n",
              "   'SULT2A1',\n",
              "   'UGT1A8',\n",
              "   'HMGCS2',\n",
              "   'STARD3',\n",
              "   'SRD5A2',\n",
              "   'STS',\n",
              "   'SULT1E1',\n",
              "   'CYP3A43',\n",
              "   'HSD17B7',\n",
              "   'SCP2',\n",
              "   'FDPS',\n",
              "   'SC5D',\n",
              "   'CYP21A2',\n",
              "   'HSD17B3',\n",
              "   'CYP11A1',\n",
              "   'CYP11B1',\n",
              "   'SLC25A1',\n",
              "   'AKR1C1',\n",
              "   'CYP11B2',\n",
              "   'SULT1A1',\n",
              "   'LSS',\n",
              "   'SLCO1A2',\n",
              "   'MVK'],\n",
              "  'all_unfolded-protein-response': ['PDIA6',\n",
              "   'ERN1',\n",
              "   'IARS1',\n",
              "   'DKC1',\n",
              "   'SLC7A5',\n",
              "   'EXOC2',\n",
              "   'EXOSC4',\n",
              "   'EIF2S1',\n",
              "   'SLC30A5',\n",
              "   'MTREX',\n",
              "   'CEBPG',\n",
              "   'EXOSC10',\n",
              "   'ATP6V0D1',\n",
              "   'SPCS1',\n",
              "   'IGFBP1',\n",
              "   'DNAJC3',\n",
              "   'SLC1A4',\n",
              "   'ARFGAP1',\n",
              "   'DCP2',\n",
              "   'CNOT2',\n",
              "   'TUBB2A',\n",
              "   'H2AX',\n",
              "   'CNOT4',\n",
              "   'HERPUD1',\n",
              "   'TTC37',\n",
              "   'IMP3',\n",
              "   'ASNS',\n",
              "   'PAIP1',\n",
              "   'EXOSC2',\n",
              "   'CXXC1',\n",
              "   'ZBTB17',\n",
              "   'XPOT',\n",
              "   'PSAT1',\n",
              "   'SEC11A',\n",
              "   'POP4',\n",
              "   'KDELR3',\n",
              "   'HSP90B1',\n",
              "   'NOLC1',\n",
              "   'HYOU1',\n",
              "   'DCP1A',\n",
              "   'EEF2',\n",
              "   'EXOSC5',\n",
              "   'WFS1',\n",
              "   'EIF4E',\n",
              "   'DNAJA4',\n",
              "   'SSR1',\n",
              "   'NABP1',\n",
              "   'EDEM1',\n",
              "   'EXOSC9',\n",
              "   'YWHAZ',\n",
              "   'RRP9',\n",
              "   'SHC1',\n",
              "   'CHAC1',\n",
              "   'EDC4',\n",
              "   'GEMIN4',\n",
              "   'ALDH18A1',\n",
              "   'DNAJB9',\n",
              "   'CALR',\n",
              "   'SPCS3',\n",
              "   'LSM1',\n",
              "   'FKBP14',\n",
              "   'EXOSC1',\n",
              "   'EIF4A3',\n",
              "   'KHSRP',\n",
              "   'NOP56',\n",
              "   'RPS14',\n",
              "   'LSM4',\n",
              "   'NOP14',\n",
              "   'TSPYL2',\n",
              "   'DDX10',\n",
              "   'EIF4EBP1',\n",
              "   'BANF1',\n",
              "   'NHP2',\n",
              "   'BAG3',\n",
              "   'CEBPB',\n",
              "   'PREB',\n",
              "   'SEC31A',\n",
              "   'CKS1B',\n",
              "   'IFIT1',\n",
              "   'PDIA5',\n",
              "   'HSPA5',\n",
              "   'GOSR2',\n",
              "   'SERP1',\n",
              "   'ATF4',\n",
              "   'KIF5B',\n",
              "   'EIF4G1',\n",
              "   'HSPA9',\n",
              "   'DDIT4',\n",
              "   'NFYA',\n",
              "   'ATF3',\n",
              "   'ERO1A',\n",
              "   'SDAD1',\n",
              "   'SRPRA',\n",
              "   'SRPRB',\n",
              "   'PARN',\n",
              "   'XBP1',\n",
              "   'STC2',\n",
              "   'NPM1',\n",
              "   'EIF4A2',\n",
              "   'VEGFA',\n",
              "   'CNOT6',\n",
              "   'EIF4A1',\n",
              "   'ATF6',\n",
              "   'TARS1',\n",
              "   'DCTN1',\n",
              "   'NFYB',\n",
              "   'CCL2',\n",
              "   'WIPI1',\n",
              "   'EIF2AK3',\n",
              "   'YIF1A',\n",
              "   'TATDN2',\n",
              "   'MTHFD2',\n",
              "   'FUS'],\n",
              "  'all_thiamin_metabolism': ['SLC19A2', 'THTPA', 'SLC19A1', 'SLC19A3', 'TPK1'],\n",
              "  'all_GLU_metabolism': ['SLC38A1',\n",
              "   'GPT',\n",
              "   'SLC1A3',\n",
              "   'SLC7A11',\n",
              "   'GOT2',\n",
              "   'ALDH18A1',\n",
              "   'SLC1A1',\n",
              "   'SLC1A5',\n",
              "   'SLC38A5',\n",
              "   'GOT1',\n",
              "   'SLC25A13',\n",
              "   'SLC3A2',\n",
              "   'SLC25A18',\n",
              "   'SLC7A6',\n",
              "   'SLC6A13',\n",
              "   'GPT2',\n",
              "   'SLC6A11',\n",
              "   'SLC7A7',\n",
              "   'NAGS',\n",
              "   'SLC6A1',\n",
              "   'SLC1A6',\n",
              "   'SLC17A7',\n",
              "   'SLC32A1',\n",
              "   'SLC25A22',\n",
              "   'GLUL',\n",
              "   'GLS2',\n",
              "   'OPLAH',\n",
              "   'ACY1',\n",
              "   'SLC6A12',\n",
              "   'SLC1A2',\n",
              "   'SLC17A8',\n",
              "   'GLUD2',\n",
              "   'SLC38A2',\n",
              "   'SLC38A3',\n",
              "   'SLC1A7',\n",
              "   'GLS',\n",
              "   'SLC25A12',\n",
              "   'GLUD1',\n",
              "   'SLC38A4',\n",
              "   'ALDH4A1',\n",
              "   'SLC17A6'],\n",
              "  'all_Beta-Ala_metabolism': ['AOC1',\n",
              "   'UPB1',\n",
              "   'AOC2',\n",
              "   'AOC3',\n",
              "   'CNDP1',\n",
              "   'HIBCH',\n",
              "   'SLC6A6'],\n",
              "  'all_hyaluronan_metabolism': ['HAS2',\n",
              "   'HEXB',\n",
              "   'GUSB',\n",
              "   'HAS1',\n",
              "   'HAS3',\n",
              "   'HEXA'],\n",
              "  'all_mitophagy_regulation_positive': ['VPS13D',\n",
              "   'SMURF1',\n",
              "   'TOMM7',\n",
              "   'HDAC6',\n",
              "   'PINK1',\n",
              "   'VPS13C',\n",
              "   'MFN2',\n",
              "   'PRKN',\n",
              "   'OPTN',\n",
              "   'HUWE1',\n",
              "   'CDC37'],\n",
              "  'all_exocytosis': ['DMTN',\n",
              "   'RALB',\n",
              "   'NPPA',\n",
              "   'SYT9',\n",
              "   'LYN',\n",
              "   'SNAP25',\n",
              "   'NLGN1',\n",
              "   'AC000093.1',\n",
              "   'VAMP3',\n",
              "   'PRRT2',\n",
              "   'OTOF',\n",
              "   'UNC13A',\n",
              "   'UNC13C',\n",
              "   'ERC2',\n",
              "   'STXBP3',\n",
              "   'SNX4',\n",
              "   'VTI1B',\n",
              "   'STX3',\n",
              "   'SYK',\n",
              "   'NAPB',\n",
              "   'PLEK',\n",
              "   'STXBP2',\n",
              "   'SCFD2',\n",
              "   'SEPTIN5',\n",
              "   'RAB8B',\n",
              "   'SYT1',\n",
              "   'STXBP5',\n",
              "   'RAB3A',\n",
              "   'STX11',\n",
              "   'SNPH',\n",
              "   'CPLX3',\n",
              "   'VAMP8',\n",
              "   'SYTL2',\n",
              "   'RAB3D',\n",
              "   'KCNB1',\n",
              "   'RAB13',\n",
              "   'SCRIB',\n",
              "   'RAB15',\n",
              "   'RAB8A',\n",
              "   'CPLX2',\n",
              "   'UNC13B',\n",
              "   'CFTR',\n",
              "   'EXOC4',\n",
              "   'RAB10',\n",
              "   'STX19',\n",
              "   'STX2',\n",
              "   'BLOC1S6',\n",
              "   'EXOC6B',\n",
              "   'NAPA',\n",
              "   'SNAP47',\n",
              "   'YKT6',\n",
              "   'RAB12',\n",
              "   'STX1A',\n",
              "   'VAMP7',\n",
              "   'STX4',\n",
              "   'SNAPIN',\n",
              "   'PLA2G3',\n",
              "   'SNAP23',\n",
              "   'PSEN1',\n",
              "   'GRIK5',\n",
              "   'PPFIA3',\n",
              "   'RABEPK',\n",
              "   'SV2A',\n",
              "   'BTK',\n",
              "   'VPS18',\n",
              "   'SYNJ1',\n",
              "   'VPS11',\n",
              "   'P2RX1',\n",
              "   'RAB3C',\n",
              "   'CTBP2',\n",
              "   'RAB3B',\n",
              "   'CPLX1',\n",
              "   'SNAP29',\n",
              "   'SNCA',\n",
              "   'EXOC6',\n",
              "   'STXBP1',\n",
              "   'STX1B'],\n",
              "  'all_CYS_metabolism': ['CTH',\n",
              "   'SUOX',\n",
              "   'LDHAL6A',\n",
              "   'AHCYL1',\n",
              "   'SLC3A1',\n",
              "   'SLC7A11',\n",
              "   'SLC1A5',\n",
              "   'GOT1',\n",
              "   'MPST',\n",
              "   'SLC1A4',\n",
              "   'GOT2',\n",
              "   'SLC7A8',\n",
              "   'CBS',\n",
              "   'SLC6A14',\n",
              "   'AHCY',\n",
              "   'TST',\n",
              "   'SLC7A9',\n",
              "   'AHCYL2',\n",
              "   'SLC7A10',\n",
              "   'LDHAL6B'],\n",
              "  'all_DNA-methylation': ['DNMT3B', 'DNMT3A', 'TRDMT1', 'DNMT1', 'DNMT3L'],\n",
              "  'all_platelet-activation-factor_production': ['PLA2G4D',\n",
              "   'PANX1',\n",
              "   'PLA2G4A',\n",
              "   'LPCAT2',\n",
              "   'DDC',\n",
              "   'TPH1',\n",
              "   'PLA2G4E',\n",
              "   'PDPN',\n",
              "   'TPH2',\n",
              "   'TBXAS1',\n",
              "   'LPCAT1',\n",
              "   'F2',\n",
              "   'VWF'],\n",
              "  'all_pyroptosis': ['APIP',\n",
              "   'CASP4',\n",
              "   'NLRP9',\n",
              "   'GSDMB',\n",
              "   'GZMB',\n",
              "   'NAIP',\n",
              "   'GSDMD',\n",
              "   'GSDME',\n",
              "   'ELANE',\n",
              "   'ZBP1',\n",
              "   'GSDMC',\n",
              "   'GZMA',\n",
              "   'NLRC4',\n",
              "   'TREM2',\n",
              "   'CASP8',\n",
              "   'DHX9',\n",
              "   'CASP1',\n",
              "   'GSDMA',\n",
              "   'NLRP1',\n",
              "   'AIM2',\n",
              "   'NLRP6'],\n",
              "  'all_ARG-PRO_metabolism': ['PYCR3',\n",
              "   'SLC7A1',\n",
              "   'ALDH18A1',\n",
              "   'GOT1',\n",
              "   'GOT2',\n",
              "   'AOC2',\n",
              "   'SLC38A4',\n",
              "   'OAT',\n",
              "   'PLPBP',\n",
              "   'SLC36A1',\n",
              "   'AOC3',\n",
              "   'SLC7A6',\n",
              "   'PYCR2',\n",
              "   'SLC6A7',\n",
              "   'SLC25A15',\n",
              "   'AOC1',\n",
              "   'SLC22A3',\n",
              "   'SLC6A8',\n",
              "   'NAGS',\n",
              "   'SLC25A2',\n",
              "   'SLC7A5',\n",
              "   'SLC6A14',\n",
              "   'SLC22A1',\n",
              "   'SLC7A2',\n",
              "   'SLC5A1',\n",
              "   'ALDH4A1',\n",
              "   'PRODH',\n",
              "   'DAO',\n",
              "   'SLC38A1',\n",
              "   'PYCR1',\n",
              "   'SLC22A2',\n",
              "   'SLC7A7',\n",
              "   'PRODH2',\n",
              "   'SLC38A2',\n",
              "   'SLC7A3'],\n",
              "  'all_pentose-phosphate-pathway': ['PGD',\n",
              "   'TKTL1',\n",
              "   'RPE',\n",
              "   'G6PD',\n",
              "   'TKT',\n",
              "   'PGLS',\n",
              "   'TALDO1',\n",
              "   'TKTL2',\n",
              "   'RPIA',\n",
              "   'H6PD'],\n",
              "  'all_glyoxylate-dicarboxylate_metabolism': ['HAGHL',\n",
              "   'HAO2',\n",
              "   'HAO1',\n",
              "   'GLO1',\n",
              "   'GRHPR'],\n",
              "  'all_NOTCH_signaling': ['HEYL',\n",
              "   'LFNG',\n",
              "   'DLL1',\n",
              "   'JAG1',\n",
              "   'CCND1',\n",
              "   'FZD1',\n",
              "   'APH1A',\n",
              "   'CUL1',\n",
              "   'DTX1',\n",
              "   'NOTCH1',\n",
              "   'KAT2A',\n",
              "   'DTX2',\n",
              "   'FBXW11',\n",
              "   'HEY1',\n",
              "   'MAML2',\n",
              "   'ARRB1',\n",
              "   'TCF7L2',\n",
              "   'FZD5',\n",
              "   'PSENEN',\n",
              "   'WNT5A',\n",
              "   'HES1',\n",
              "   'HEY2',\n",
              "   'RBX1',\n",
              "   'ST3GAL6',\n",
              "   'PPARD',\n",
              "   'NOTCH2',\n",
              "   'SKP1',\n",
              "   'HES5',\n",
              "   'PSEN2',\n",
              "   'WNT2',\n",
              "   'NOTCH3',\n",
              "   'SAP30',\n",
              "   'FZD7',\n",
              "   'PRKCA',\n",
              "   'DTX4'],\n",
              "  'all_protein-degradation-proteasome': ['SEL1L',\n",
              "   'AGAP3',\n",
              "   'TAF1',\n",
              "   'KCTD5',\n",
              "   'RNF217',\n",
              "   'ANAPC1',\n",
              "   'NFE2L2',\n",
              "   'TRIB3',\n",
              "   'KCTD10',\n",
              "   'LRRK2',\n",
              "   'CALR3',\n",
              "   'ANKRD9',\n",
              "   'CTNNB1',\n",
              "   'FBXO38',\n",
              "   'PIAS1',\n",
              "   'CLOCK',\n",
              "   'DCAF12',\n",
              "   'SMAD7',\n",
              "   'AC013489.1',\n",
              "   'ZNRF1',\n",
              "   'FBXL12',\n",
              "   'ZFAND2A',\n",
              "   'GID4',\n",
              "   'SPSB4',\n",
              "   'UBR3',\n",
              "   'PSMF1',\n",
              "   'CRBN',\n",
              "   'WFS1',\n",
              "   'UBXN11',\n",
              "   'ASB2',\n",
              "   'HFE',\n",
              "   'SHARPIN',\n",
              "   'UBQLN4',\n",
              "   'UBXN1',\n",
              "   'UBE2B',\n",
              "   'RNF187',\n",
              "   'PRAMEF6',\n",
              "   'PSMA5',\n",
              "   'MAN1B1',\n",
              "   'RMND5B',\n",
              "   'CDC16',\n",
              "   'UBE3D',\n",
              "   'HACE1',\n",
              "   'AC022506.1',\n",
              "   'PCNP',\n",
              "   'FBXL7',\n",
              "   'FBXO17',\n",
              "   'NPLOC4',\n",
              "   'FBXO48',\n",
              "   'RBCK1',\n",
              "   'RBX1',\n",
              "   'TRIM25',\n",
              "   'RNF175',\n",
              "   'PBK',\n",
              "   'UBQLN1',\n",
              "   'UBE2D3',\n",
              "   'SPOP',\n",
              "   'PSMD4',\n",
              "   'FBXL2',\n",
              "   'NKD2',\n",
              "   'RNF5',\n",
              "   'TTC36',\n",
              "   'CLU',\n",
              "   'UBE2C',\n",
              "   'CDC20',\n",
              "   'USP5',\n",
              "   'AMFR',\n",
              "   'FEM1A',\n",
              "   'TRIP4',\n",
              "   'PSMD14',\n",
              "   'PARK7',\n",
              "   'MAP1A',\n",
              "   'CANX',\n",
              "   'PPP2R5C',\n",
              "   'KEAP1',\n",
              "   'DVL1',\n",
              "   'UBE2K',\n",
              "   'WWP2',\n",
              "   'BAG2',\n",
              "   'KLHDC3',\n",
              "   'SELENOS',\n",
              "   'RNF34',\n",
              "   'DDRGK1',\n",
              "   'RNF180',\n",
              "   'ANAPC5',\n",
              "   'DET1',\n",
              "   'SEL1L2',\n",
              "   'NCCRP1',\n",
              "   'FBXL8',\n",
              "   'KBTBD6',\n",
              "   'CLGN',\n",
              "   'COMMD1',\n",
              "   'ERCC8',\n",
              "   'FBXO27',\n",
              "   'NOP53',\n",
              "   'SH3RF2',\n",
              "   'ZSWIM8',\n",
              "   'KIF14',\n",
              "   'NSFL1C',\n",
              "   'SPOPL',\n",
              "   'TRPC4AP',\n",
              "   'ERLIN2',\n",
              "   'TMEM129',\n",
              "   'PSMD10',\n",
              "   'RNF103-CHMP3',\n",
              "   'CSNK1D',\n",
              "   'IFI27',\n",
              "   'ZER1',\n",
              "   'APPBP2',\n",
              "   'DDB1',\n",
              "   'AKT1',\n",
              "   'SOCS5',\n",
              "   'FBXL15',\n",
              "   'PSMA2',\n",
              "   'STYX',\n",
              "   'TRIM72',\n",
              "   'BBS7',\n",
              "   'VCP',\n",
              "   'RNF103',\n",
              "   'RFFL',\n",
              "   'CAMLG',\n",
              "   'PCBP2',\n",
              "   'FBXL16',\n",
              "   'SIRT6',\n",
              "   'CALR',\n",
              "   'UBE2H',\n",
              "   'CDC23',\n",
              "   'RNF144A',\n",
              "   'AC074143.1',\n",
              "   'GCLC',\n",
              "   'KLHL15',\n",
              "   'BAG5',\n",
              "   'SDCBP',\n",
              "   'GSK3B',\n",
              "   'SGTA',\n",
              "   'FBXO39',\n",
              "   'KLHDC10',\n",
              "   'CD2AP',\n",
              "   'SIAH2',\n",
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              "   'IFNGR1',\n",
              "   'IFNA2',\n",
              "   'STAT1',\n",
              "   'IL26',\n",
              "   'IL23A',\n",
              "   'GRB2',\n",
              "   'IFNL3',\n",
              "   'IL2RB',\n",
              "   'IFNA6',\n",
              "   'PIAS2',\n",
              "   'SPRY3',\n",
              "   'SOCS7',\n",
              "   'CBL',\n",
              "   'SOCS5',\n",
              "   'JAK1',\n",
              "   'IL3',\n",
              "   'PIK3R1',\n",
              "   'CCND2',\n",
              "   'AKT2',\n",
              "   'CBLB',\n",
              "   'IL22',\n",
              "   'LEP',\n",
              "   'STAT2',\n",
              "   'IL10RA',\n",
              "   'IFNB1',\n",
              "   'SPRY2',\n",
              "   'SOCS4',\n",
              "   'IL24',\n",
              "   'IFNL2',\n",
              "   'TSLP',\n",
              "   'TYK2',\n",
              "   'IL5RA',\n",
              "   'GH1',\n",
              "   'IFNL1',\n",
              "   'IL21',\n",
              "   'IRF9',\n",
              "   'PIAS1',\n",
              "   'CCND3',\n",
              "   'IL12RB1',\n",
              "   'IL12A',\n",
              "   'PIK3CB',\n",
              "   'PIK3R5',\n",
              "   'IL10',\n",
              "   'IFNE',\n",
              "   'STAT3',\n",
              "   'IL11',\n",
              "   'AKT1'],\n",
              "  'all_DNA-repair': ['POLL',\n",
              "   'EIF1B',\n",
              "   'CMPK2',\n",
              "   'LIG1',\n",
              "   'GTF2H5',\n",
              "   'RFC5',\n",
              "   'MRPL40',\n",
              "   'POLD1',\n",
              "   'SF3A3',\n",
              "   'ZNRD1',\n",
              "   'POLB',\n",
              "   'CDA',\n",
              "   'RPA3',\n",
              "   'GTF2F1',\n",
              "   'IMPDH2',\n",
              "   'POLR2C',\n",
              "   'MPC2',\n",
              "   'NME4',\n",
              "   'SUPT5H',\n",
              "   'POLD3',\n",
              "   'PRIM1',\n",
              "   'TAF1C',\n",
              "   'TAF9',\n",
              "   'XPC',\n",
              "   'AK3',\n",
              "   'TAF10',\n",
              "   'ELL',\n",
              "   'SMAD5',\n",
              "   'CANT1',\n",
              "   'GTF2A2',\n",
              "   'PDE6G',\n",
              "   'GTF2B',\n",
              "   'SNAPC5',\n",
              "   'NT5C3A',\n",
              "   'RFC3',\n",
              "   'POLR2G',\n",
              "   'ERCC8',\n",
              "   'SDCBP',\n",
              "   'POLR2I',\n",
              "   'POLR3C',\n",
              "   'DGCR8',\n",
              "   'ELOA',\n",
              "   'BCAM',\n",
              "   'POLD4',\n",
              "   'ITPA',\n",
              "   'USP11',\n",
              "   'POLR2K',\n",
              "   'ZWINT',\n",
              "   'GTF2H3',\n",
              "   'TARBP2',\n",
              "   'POLR1D',\n",
              "   'POLR2H',\n",
              "   'TSG101',\n",
              "   'POLR1C',\n",
              "   'POM121',\n",
              "   'ARL6IP1',\n",
              "   'GTF2H1',\n",
              "   'SEC61A1',\n",
              "   'VPS37D',\n",
              "   'POLA2',\n",
              "   'ADA',\n",
              "   'SAC3D1',\n",
              "   'MPG',\n",
              "   'GTF3C5',\n",
              "   'ZNF707',\n",
              "   'SUPT4H1',\n",
              "   'BCAP31',\n",
              "   'POLH',\n",
              "   'NPR2',\n",
              "   'BOLA2B',\n",
              "   'SSRP1',\n",
              "   'RBX1',\n",
              "   'STX3',\n",
              "   'CETN2',\n",
              "   'POLR2E',\n",
              "   'ALYREF',\n",
              "   'CCNO',\n",
              "   'RALA',\n",
              "   'RAD51',\n",
              "   'BRF2',\n",
              "   'TK2',\n",
              "   'RFC2',\n",
              "   'NELFB',\n",
              "   'RAE1',\n",
              "   'NME3',\n",
              "   'REV3L',\n",
              "   'PCNA',\n",
              "   'RRM2B',\n",
              "   'ERCC4',\n",
              "   'NUDT21',\n",
              "   'COX17',\n",
              "   'GMPR2',\n",
              "   'AK1',\n",
              "   'TMED2',\n",
              "   'ERCC5',\n",
              "   'DDB1',\n",
              "   'DAD1',\n",
              "   'BOLA2',\n",
              "   'HCLS1',\n",
              "   'NME1',\n",
              "   'EDF1',\n",
              "   'TYMS',\n",
              "   'POLR2A',\n",
              "   'POLR3GL',\n",
              "   'GPX4',\n",
              "   'NT5C',\n",
              "   'RPA2',\n",
              "   'TP53',\n",
              "   'PNP',\n",
              "   'POLR2F',\n",
              "   'HPRT1',\n",
              "   'TAF13',\n",
              "   'SNAPC4',\n",
              "   'TAF12',\n",
              "   'NELFCD',\n",
              "   'NELFE',\n",
              "   'SURF1',\n",
              "   'POLR2J',\n",
              "   'UPF3B',\n",
              "   'PDE4B',\n",
              "   'POLE4',\n",
              "   'SRSF6',\n",
              "   'DCTN4',\n",
              "   'DUT',\n",
              "   'DDB2',\n",
              "   'CLP1',\n",
              "   'NUDT9',\n",
              "   'RNMT',\n",
              "   'UMPS',\n",
              "   'FEN1',\n",
              "   'ERCC3',\n",
              "   'RAD52',\n",
              "   'TAF6',\n",
              "   'GSDME',\n",
              "   'ERCC1',\n",
              "   'ADRM1',\n",
              "   'AGO4',\n",
              "   'NFX1',\n",
              "   'RFC4',\n",
              "   'NCBP2',\n",
              "   'CSTF3',\n",
              "   'ERCC2',\n",
              "   'POLA1',\n",
              "   'APRT',\n",
              "   'GUK1',\n",
              "   'VPS37B',\n",
              "   'DGUOK',\n",
              "   'ADCY6',\n",
              "   'AAAS',\n",
              "   'POLR2D',\n",
              "   'VPS28'],\n",
              "  'all_glutathione_metabolism': ['GSS',\n",
              "   'GPX1',\n",
              "   'GPX6',\n",
              "   'GSTM1',\n",
              "   'HAGH',\n",
              "   'GPX4',\n",
              "   'GPX5',\n",
              "   'PRDX3',\n",
              "   'ESD',\n",
              "   'GLRX2',\n",
              "   'GPX2',\n",
              "   'PRDX1',\n",
              "   'GLRX',\n",
              "   'GPX3',\n",
              "   'GCLC',\n",
              "   'GCLM',\n",
              "   'GPX7',\n",
              "   'GGT1',\n",
              "   'ADH5',\n",
              "   'CTH',\n",
              "   'GPX8',\n",
              "   'GSR',\n",
              "   'PRDX2',\n",
              "   'CBS'],\n",
              "  'all_cholesterol-homeostasis': ['CBS',\n",
              "   'CD9',\n",
              "   'ATXN2',\n",
              "   'JAG1',\n",
              "   'FADS2',\n",
              "   'PMVK',\n",
              "   'NSDHL',\n",
              "   'ATF3',\n",
              "   'FASN',\n",
              "   'TNFRSF12A',\n",
              "   'FABP5',\n",
              "   'GSTM2',\n",
              "   'TRIB3',\n",
              "   'SREBF2',\n",
              "   'ACAT2',\n",
              "   'TM7SF2',\n",
              "   'ERRFI1',\n",
              "   'ECH1',\n",
              "   'CPEB2',\n",
              "   'AVPR1A',\n",
              "   'MAL2',\n",
              "   'TP53INP1',\n",
              "   'GPX8',\n",
              "   'CTNNB1',\n",
              "   'SQLE',\n",
              "   'HMGCR',\n",
              "   'SCD',\n",
              "   'GLDC',\n",
              "   'DHCR7',\n",
              "   'LGMN',\n",
              "   'STX5',\n",
              "   'ANXA13',\n",
              "   'EBP',\n",
              "   'GUSB',\n",
              "   'ETHE1',\n",
              "   'ALCAM',\n",
              "   'CLU',\n",
              "   'ATF5',\n",
              "   'SC5D',\n",
              "   'HSD17B7',\n",
              "   'NIBAN1',\n",
              "   'PLSCR1',\n",
              "   'CXCL16',\n",
              "   'ACSS2',\n",
              "   'TMEM97',\n",
              "   'ABCA2',\n",
              "   'ACTG1',\n",
              "   'PDK3',\n",
              "   'IDI1',\n",
              "   'ADH4',\n",
              "   'LSS',\n",
              "   'FDPS',\n",
              "   'GNAI1',\n",
              "   'MVD',\n",
              "   'NFIL3',\n",
              "   'STARD4',\n",
              "   'LGALS3',\n",
              "   'HMGCS1',\n",
              "   'LPL',\n",
              "   'FBXO6',\n",
              "   'CHKA',\n",
              "   'ANTXR2',\n",
              "   'S100A11',\n",
              "   'LDLR',\n",
              "   'ALDOC',\n",
              "   'PPARG',\n",
              "   'SEMA3B',\n",
              "   'PLAUR',\n",
              "   'FDFT1',\n",
              "   'PCYT2',\n",
              "   'MVK',\n",
              "   'PNRC1',\n",
              "   'ANXA5',\n",
              "   'CYP51A1'],\n",
              "  'all_peroxisome-component': ['ABCD1',\n",
              "   'CRABP1',\n",
              "   'SLC25A4',\n",
              "   'ABCB9',\n",
              "   'UGT2B17',\n",
              "   'PEX6',\n",
              "   'ECH1',\n",
              "   'CRABP2',\n",
              "   'HSD17B11',\n",
              "   'ABCB1',\n",
              "   'DHRS3',\n",
              "   'ECI2',\n",
              "   'ATXN1',\n",
              "   'SIAH1',\n",
              "   'MLYCD',\n",
              "   'ITGB1BP1',\n",
              "   'ABCC8',\n",
              "   'CAT',\n",
              "   'CADM1',\n",
              "   'VPS4B',\n",
              "   'SOD2',\n",
              "   'IDI1',\n",
              "   'ESR2',\n",
              "   'CLN8',\n",
              "   'SLC25A19',\n",
              "   'PEX5',\n",
              "   'IDH2',\n",
              "   'EPHX2',\n",
              "   'MSH2',\n",
              "   'YWHAH',\n",
              "   'SMARCC1',\n",
              "   'CDK7',\n",
              "   'RXRG',\n",
              "   'NUDT19',\n",
              "   'PEX11A',\n",
              "   'SERPINA6',\n",
              "   'SLC35B2',\n",
              "   'PRDX5',\n",
              "   'HRAS',\n",
              "   'CLN6',\n",
              "   'ABCD3',\n",
              "   'TTR',\n",
              "   'CTPS1',\n",
              "   'EHHADH',\n",
              "   'ACSL5',\n",
              "   'HSD3B7',\n",
              "   'ACAA1',\n",
              "   'PEX11B',\n",
              "   'ABCD2',\n",
              "   'TOP2A',\n",
              "   'HMGCL',\n",
              "   'HSD11B2',\n",
              "   'SLC23A2',\n",
              "   'FADS1',\n",
              "   'SEMA3C',\n",
              "   'DLG4',\n",
              "   'ACOT8',\n",
              "   'ELOVL5',\n",
              "   'FABP6',\n",
              "   'HAO2',\n",
              "   'PEX14',\n",
              "   'ALDH1A1',\n",
              "   'PRDX1',\n",
              "   'SLC27A2',\n",
              "   'ACSL1',\n",
              "   'BCL10',\n",
              "   'LONP2',\n",
              "   'SLC25A17',\n",
              "   'DHCR24',\n",
              "   'ABCC5',\n",
              "   'HSD17B4',\n",
              "   'ISOC1',\n",
              "   'IDH1',\n",
              "   'SOD1',\n",
              "   'GNPAT',\n",
              "   'CRAT',\n",
              "   'NR1I2',\n",
              "   'PEX13',\n",
              "   'RETSAT',\n",
              "   'SCGB1A1',\n",
              "   'CEL',\n",
              "   'ACSL4',\n",
              "   'DIO1',\n",
              "   'ERCC3',\n",
              "   'PABPC1',\n",
              "   'IDE',\n",
              "   'ABCB4',\n",
              "   'CTBP1',\n",
              "   'MVP',\n",
              "   'TSPO',\n",
              "   'STS',\n",
              "   'FIS1',\n",
              "   'FDPS',\n",
              "   'SCP2',\n",
              "   'ALB',\n",
              "   'CNBP',\n",
              "   'ALDH9A1',\n",
              "   'CACNA1B',\n",
              "   'ERCC1',\n",
              "   'PEX2',\n",
              "   'ACOX1',\n",
              "   'RDH11',\n",
              "   'SULT2B1',\n",
              "   'GSTK1'],\n",
              "  'all_MET_metabolism': ['AHCY',\n",
              "   'AHCYL2',\n",
              "   'BHMT2',\n",
              "   'SLC7A8',\n",
              "   'MTAP',\n",
              "   'SLC6A14',\n",
              "   'ACY1',\n",
              "   'AHCYL1',\n",
              "   'DNMT3L',\n",
              "   'GNMT',\n",
              "   'MAT1A',\n",
              "   'SLC25A26',\n",
              "   'SLC3A1',\n",
              "   'AMD1',\n",
              "   'DNMT3A',\n",
              "   'DNMT3B',\n",
              "   'MTR',\n",
              "   'BHMT',\n",
              "   'SLC43A2',\n",
              "   'MAT2A',\n",
              "   'DNMT1',\n",
              "   'SUOX',\n",
              "   'MAT2B'],\n",
              "  'all_nucleophagy-late': ['ATG2A', 'ATG7', 'ATG2B', 'ATG9B', 'ATG9A'],\n",
              "  'all_pyrimidine_synthesis': ['PRPS1',\n",
              "   'CAD',\n",
              "   'UMPS',\n",
              "   'PRPS1L1',\n",
              "   'CPS1',\n",
              "   'PRPS2',\n",
              "   'DHODH'],\n",
              "  'all_transmembrane-transport-lysosome': ['ATP6V0C',\n",
              "   'ATP6V1C1',\n",
              "   'ATP6V1C2',\n",
              "   'ATP6V1F',\n",
              "   'ATP6V1B2',\n",
              "   'ATP6V1G2',\n",
              "   'ATP6V0B',\n",
              "   'ATP6V0A2',\n",
              "   'ATP6V0D1',\n",
              "   'ATP6V1B1',\n",
              "   'ATP6V1E1',\n",
              "   'ATP6V0A4',\n",
              "   'ATP6V0A1',\n",
              "   'ATP6V1A',\n",
              "   'ATP6V1H',\n",
              "   'SLC36A1',\n",
              "   'ATP6V1E2',\n",
              "   'SLC29A3',\n",
              "   'ATP6V0D2',\n",
              "   'TCIRG1',\n",
              "   'ATP6V1D',\n",
              "   'SLC17A5',\n",
              "   'ATP6V1G1',\n",
              "   'ATP6V1G3'],\n",
              "  'all_MYC_targets': ['NOP16',\n",
              "   'PHB',\n",
              "   'GCSH',\n",
              "   'NHP2',\n",
              "   'PPAT',\n",
              "   'FASN',\n",
              "   'CAD',\n",
              "   'NOC4L',\n",
              "   'NCL',\n",
              "   'DDX10',\n",
              "   'ODC1',\n",
              "   'POLR2H',\n",
              "   'MGST1',\n",
              "   'PRPS2',\n",
              "   'ADM',\n",
              "   'SLC39A6',\n",
              "   'SLC20A1',\n",
              "   'SHMT1',\n",
              "   'TARBP1',\n",
              "   'MATR3',\n",
              "   'PSMG1',\n",
              "   'DDX18',\n",
              "   'BCAT1',\n",
              "   'MRTO4',\n",
              "   'MTHFD1',\n",
              "   'TSR1',\n",
              "   'PNO1',\n",
              "   'MXI1',\n",
              "   'RRP1B',\n",
              "   'SRM',\n",
              "   'RSL1D1',\n",
              "   'AK4',\n",
              "   'RCC1',\n",
              "   'CDK4',\n",
              "   'AIMP2',\n",
              "   'TUBA4A',\n",
              "   'PPIF',\n",
              "   'EBNA1BP2',\n",
              "   'GNL3',\n",
              "   'APEX1',\n",
              "   'IARS1',\n",
              "   'CCND2',\n",
              "   'GPD1L',\n",
              "   'LDHA',\n",
              "   'NOP56',\n",
              "   'FXN',\n",
              "   'SLPI',\n",
              "   'NAMPT',\n",
              "   'PA2G4',\n",
              "   'NME1',\n",
              "   'CTSC',\n",
              "   'NOLC1',\n",
              "   'FBL',\n",
              "   'UCK2',\n",
              "   'CEBPZ',\n",
              "   'HSPA9',\n",
              "   'AKAP1',\n",
              "   'DDX21',\n",
              "   'SOCS3',\n",
              "   'METTL1',\n",
              "   'TRAP1',\n",
              "   'FKBP4',\n",
              "   'C1QBP',\n",
              "   'PYCR1',\n",
              "   'FABP5',\n",
              "   'POLD2',\n",
              "   'TFRC',\n",
              "   'PAICS',\n",
              "   'HSPD1',\n",
              "   'CKS2',\n",
              "   'RANBP1',\n",
              "   'SLC19A1',\n",
              "   'NDUFAF4',\n",
              "   'SURF2',\n",
              "   'PLSCR1',\n",
              "   'ASNS',\n",
              "   'GRWD1',\n",
              "   'SLC16A1',\n",
              "   'PPP1R14B',\n",
              "   'HSPE1',\n",
              "   'AHCY',\n",
              "   'EMP1',\n",
              "   'EXOSC7'],\n",
              "  'all_mitophagy': ['OPTN',\n",
              "   'ATG14',\n",
              "   'HTRA2',\n",
              "   'TP53',\n",
              "   'CLEC16A',\n",
              "   'PRKN',\n",
              "   'BECN1',\n",
              "   'ATG13',\n",
              "   'VPS13C',\n",
              "   'HDAC6',\n",
              "   'RNF41',\n",
              "   'CDC37',\n",
              "   'HUWE1',\n",
              "   'MAP1LC3B',\n",
              "   'SQSTM1',\n",
              "   'SMURF1',\n",
              "   'USP30',\n",
              "   'TSC2',\n",
              "   'PHB2',\n",
              "   'MFN2',\n",
              "   'VPS13D',\n",
              "   'TIGAR',\n",
              "   'TOMM7',\n",
              "   'AMBRA1',\n",
              "   'PINK1'],\n",
              "  'all_autophagy_regulation_positive': ['EPM2A',\n",
              "   'PRKD1',\n",
              "   'TRIM21',\n",
              "   'PRKAA2',\n",
              "   'TRIM38',\n",
              "   'TRIM13',\n",
              "   'UVRAG',\n",
              "   'PLK3',\n",
              "   'FBXO7',\n",
              "   'DAPK1',\n",
              "   'RALB',\n",
              "   'CAMKK2',\n",
              "   'AMBRA1',\n",
              "   'TP53INP2',\n",
              "   'TRIM6',\n",
              "   'MFN2',\n",
              "   'CLEC16A',\n",
              "   'ELAPOR1',\n",
              "   'IRGM',\n",
              "   'PARK7',\n",
              "   'TRIML1',\n",
              "   'TFEB',\n",
              "   'OPTN',\n",
              "   'BNIP3',\n",
              "   'GSK3A',\n",
              "   'RAB12',\n",
              "   'TRIM5',\n",
              "   'RAB3GAP1',\n",
              "   'TPCN1',\n",
              "   'PLEKHF1',\n",
              "   'HTT',\n",
              "   'HSPB8',\n",
              "   'IFNG',\n",
              "   'EIF2AK4',\n",
              "   'HMOX1',\n",
              "   'GNAI3',\n",
              "   'SESN1',\n",
              "   'SUPT5H',\n",
              "   'HK2',\n",
              "   'BAD',\n",
              "   'PIK3CB',\n",
              "   'DHRSX',\n",
              "   'SH3GLB1',\n",
              "   'PRKN',\n",
              "   'TRIM34',\n",
              "   'GBA',\n",
              "   'FOXO3',\n",
              "   'TMEM59',\n",
              "   'TRIM68',\n",
              "   'TRIM8',\n",
              "   'PIP4K2A',\n",
              "   'ATP5IF1',\n",
              "   'IKBKG',\n",
              "   'LRRK2',\n",
              "   'SH3BP4',\n",
              "   'PIP4K2B',\n",
              "   'PIK3C2A',\n",
              "   'TOMM7',\n",
              "   'SESN2',\n",
              "   'TICAM1',\n",
              "   'HUWE1',\n",
              "   'LARP1',\n",
              "   'PINK1',\n",
              "   'TBK1',\n",
              "   'MEFV',\n",
              "   'MTDH',\n",
              "   'TRIM27',\n",
              "   'STK11',\n",
              "   'CALCOCO2',\n",
              "   'STING1',\n",
              "   'ROCK1',\n",
              "   'VPS13C',\n",
              "   'PRKAA1',\n",
              "   'SIRT1',\n",
              "   'SPTLC2',\n",
              "   'FOXO1',\n",
              "   'SVIP',\n",
              "   'TRIM22',\n",
              "   'SPTLC1',\n",
              "   'IL4',\n",
              "   'NOD1',\n",
              "   'TSC1',\n",
              "   'ATG5',\n",
              "   'RAB3GAP2',\n",
              "   'FYCO1',\n",
              "   'KAT5',\n",
              "   'TRIM65',\n",
              "   'SESN3',\n",
              "   'SMCR8',\n",
              "   'MUL1',\n",
              "   'TP53INP1',\n",
              "   'BAG3',\n",
              "   'ADRB2',\n",
              "   'RNF152',\n",
              "   'HDAC6',\n",
              "   'PIP4K2C',\n",
              "   'KDR',\n",
              "   'RIPK2',\n",
              "   'HIF1A',\n",
              "   'LACRT',\n",
              "   'MID2',\n",
              "   'PHB2',\n",
              "   'LRSAM1',\n",
              "   'ZC3H12A',\n",
              "   'RUFY4',\n",
              "   'BCL2L11',\n",
              "   'SMURF1',\n",
              "   'GPSM1',\n",
              "   'TRIM14',\n",
              "   'PIM2',\n",
              "   'ULK1',\n",
              "   'VPS13D',\n",
              "   'GSK3B',\n",
              "   'FLCN',\n",
              "   'SCOC',\n",
              "   'WAC',\n",
              "   'PAFAH1B2',\n",
              "   'ULK2',\n",
              "   'MAP3K7',\n",
              "   'DCN',\n",
              "   'CDC37',\n",
              "   'ATG7',\n",
              "   'TSC2',\n",
              "   'TRIML2',\n",
              "   'UFL1',\n",
              "   'MAPK3',\n",
              "   'C9orf72',\n",
              "   'HMGB1',\n",
              "   'NPRL2',\n",
              "   'BNIP3L',\n",
              "   'PLK2'],\n",
              "  'all_sphingolipid_metabolism': ['NEU1',\n",
              "   'ST6GALNAC5',\n",
              "   'CERK',\n",
              "   'ST3GAL5',\n",
              "   'ST6GALNAC2',\n",
              "   'SPTLC1',\n",
              "   'ST6GALNAC6',\n",
              "   'B4GALNT1',\n",
              "   'CERT1',\n",
              "   'SPTLC2',\n",
              "   'UGCG',\n",
              "   'ST8SIA5',\n",
              "   'B3GALNT1',\n",
              "   'B3GALT5',\n",
              "   'A4GALT',\n",
              "   'GBA',\n",
              "   'SPHK2',\n",
              "   'B3GNT3',\n",
              "   'SGPP1',\n",
              "   'SLC33A1',\n",
              "   'GBGT1',\n",
              "   'ST3GAL2',\n",
              "   'SMPD3',\n",
              "   'GALC',\n",
              "   'GLA',\n",
              "   'SGPL1',\n",
              "   'ST6GALNAC3',\n",
              "   'FUT1',\n",
              "   'GLB1',\n",
              "   'NAGA',\n",
              "   'ST8SIA1',\n",
              "   'B3GALT4',\n",
              "   'ARSA',\n",
              "   'GAL3ST1',\n",
              "   'ASAH1',\n",
              "   'GALNS'],\n",
              "  'all_fatty-acid-metabolism': ['BLVRA',\n",
              "   'UGDH',\n",
              "   'ACADL',\n",
              "   'RDH11',\n",
              "   'IDH3B',\n",
              "   'INMT',\n",
              "   'IL4I1',\n",
              "   'NSDHL',\n",
              "   'GPD2',\n",
              "   'HADHB',\n",
              "   'VNN1',\n",
              "   'ACAT2',\n",
              "   'ACOT2',\n",
              "   'KMT5A',\n",
              "   'ALDH1A1',\n",
              "   'CYP4A11',\n",
              "   'HIBCH',\n",
              "   'ECHS1',\n",
              "   'SUCLG1',\n",
              "   'ACSL5',\n",
              "   'YWHAH',\n",
              "   'G0S2',\n",
              "   'GSTZ1',\n",
              "   'SDHC',\n",
              "   'HSD17B10',\n",
              "   'METAP1',\n",
              "   'AQP7',\n",
              "   'CPT1A',\n",
              "   'LGALS1',\n",
              "   'HSPH1',\n",
              "   'ALDOA',\n",
              "   'ACSM3',\n",
              "   'HMGCS2',\n",
              "   'ADH1C',\n",
              "   'ETFDH',\n",
              "   'PTS',\n",
              "   'CA6',\n",
              "   'CRYZ',\n",
              "   'HSD17B7',\n",
              "   'BMPR1B',\n",
              "   'ALDH3A2',\n",
              "   'SMS',\n",
              "   'REEP6',\n",
              "   'AUH',\n",
              "   'LDHA',\n",
              "   'HSD17B11',\n",
              "   'ACSL4',\n",
              "   'FABP2',\n",
              "   'ACSL1',\n",
              "   'ADIPOR2',\n",
              "   'ECI2',\n",
              "   'RAP1GDS1',\n",
              "   'PSME1',\n",
              "   'PRDX6',\n",
              "   'IDH3G',\n",
              "   'ACSS1',\n",
              "   'MDH1',\n",
              "   'ENO3',\n",
              "   'CPOX',\n",
              "   'ALDH9A1',\n",
              "   'HCCS',\n",
              "   'GRHPR',\n",
              "   'FH',\n",
              "   'ECH1',\n",
              "   'IDI1',\n",
              "   'DECR1',\n",
              "   'ALAD',\n",
              "   'ACAA2',\n",
              "   'RDH16',\n",
              "   'ADH7',\n",
              "   'HMGCS1',\n",
              "   'EHHADH',\n",
              "   'MLYCD',\n",
              "   'CIDEA',\n",
              "   'UROS',\n",
              "   'SDHD',\n",
              "   'MCEE',\n",
              "   'CYP1A1',\n",
              "   'ERP29',\n",
              "   'FABP1',\n",
              "   'CD1D',\n",
              "   'NBN',\n",
              "   'CPT2',\n",
              "   'IDH1',\n",
              "   'CRAT',\n",
              "   'HSP90AA1',\n",
              "   'ECI1',\n",
              "   'DLD',\n",
              "   'ODC1',\n",
              "   'UROD',\n",
              "   'ENO2',\n",
              "   'GAD2',\n",
              "   'GABARAPL1',\n",
              "   'HAO2',\n",
              "   'D2HGDH',\n",
              "   'PDHA1',\n",
              "   'MIF',\n",
              "   'HPGD',\n",
              "   'CA4',\n",
              "   'XIST',\n",
              "   'GLUL',\n",
              "   'ACADVL',\n",
              "   'ELOVL5',\n",
              "   'SUCLA2',\n",
              "   'ACOX1',\n",
              "   'PTPRG',\n",
              "   'AOC3',\n",
              "   'TP53INP2',\n",
              "   'MDH2',\n",
              "   'ACO2',\n",
              "   'BCKDHB',\n",
              "   'S100A10',\n",
              "   'ADSL',\n",
              "   'SUCLG2',\n",
              "   'HSDL2',\n",
              "   'CD36',\n",
              "   'SLC22A5',\n",
              "   'CBR1',\n",
              "   'HADH',\n",
              "   'OSTC',\n",
              "   'PDHB',\n",
              "   'GPD1',\n",
              "   'NTHL1',\n",
              "   'HMGCL',\n",
              "   'BPHL',\n",
              "   'UBE2L6',\n",
              "   'PPARA',\n",
              "   'ACADS',\n",
              "   'CCDC58',\n",
              "   'CEL',\n",
              "   'GAPDHS',\n",
              "   'ACAA1',\n",
              "   'LTC4S',\n",
              "   'NCAPH2',\n",
              "   'SERINC1',\n",
              "   'FMO1',\n",
              "   'CYP4A22',\n",
              "   'DHCR24',\n",
              "   'MGLL',\n",
              "   'ALDH3A1',\n",
              "   'AADAT',\n",
              "   'H2AZ1',\n",
              "   'APEX1',\n",
              "   'ACADM',\n",
              "   'GCDH',\n",
              "   'MAOA',\n",
              "   'CA2',\n",
              "   'FASN',\n",
              "   'PCBD1',\n",
              "   'ACOT8',\n",
              "   'CBR3',\n",
              "   'ME1',\n",
              "   'DLST',\n",
              "   'EPHX1',\n",
              "   'HSD17B4',\n",
              "   'TDO2',\n",
              "   'RETSAT',\n",
              "   'SDHA'],\n",
              "  'all_triacylglycerol_synthesis': ['DGAT2',\n",
              "   'LIPG',\n",
              "   'MOGAT2',\n",
              "   'AGPAT3',\n",
              "   'PNLIPRP2',\n",
              "   'AGPAT4',\n",
              "   'LIPF',\n",
              "   'PLPP1',\n",
              "   'MOGAT1',\n",
              "   'DGAT1',\n",
              "   'LPL',\n",
              "   'GPAT4',\n",
              "   'PLA2G3',\n",
              "   'MGLL',\n",
              "   'PLPP2',\n",
              "   'AGPAT1',\n",
              "   'GNPAT',\n",
              "   'AGPAT2',\n",
              "   'GPAM',\n",
              "   'PNLIPRP1',\n",
              "   'LIPC',\n",
              "   'PNLIP',\n",
              "   'AGPAT5',\n",
              "   'PLPP3'],\n",
              "  'all_thrombolysis-factor_production': ['SERPIND1',\n",
              "   'TFPI',\n",
              "   'PLG',\n",
              "   'SERPINC1',\n",
              "   'THBD',\n",
              "   'PLAT',\n",
              "   'PROC',\n",
              "   'SERPINA1',\n",
              "   'SERPINE2',\n",
              "   'PLAU',\n",
              "   'PROS1'],\n",
              "  'all_amino-sugar-nucleotide-sugar_metabolism': ['PGM3',\n",
              "   'TGDS',\n",
              "   'UAP1',\n",
              "   'GNPDA2',\n",
              "   'AMDHD2',\n",
              "   'GFPT1',\n",
              "   'GNE',\n",
              "   'GNPNAT1',\n",
              "   'CHIA',\n",
              "   'MANSC1',\n",
              "   'UXS1',\n",
              "   'GNPDA1',\n",
              "   'NANS',\n",
              "   'CMAS',\n",
              "   'GFPT2',\n",
              "   'NAGK',\n",
              "   'RENBP',\n",
              "   'CHIT1',\n",
              "   'GALE',\n",
              "   'UAP1L1'],\n",
              "  'all_cyclic-nucleotide_metabolism': ['PDE6C',\n",
              "   'GUCY1B2',\n",
              "   'PDE6D',\n",
              "   'PDE7B',\n",
              "   'PDE3B',\n",
              "   'ADCY5',\n",
              "   'PDE11A',\n",
              "   'ADCY6',\n",
              "   'ADCY2',\n",
              "   'ADCY3',\n",
              "   'PDE5A',\n",
              "   'ADCY7',\n",
              "   'ADCY8',\n",
              "   'PDE3A',\n",
              "   'PDE6A',\n",
              "   'ADCY9',\n",
              "   'PDE2A',\n",
              "   'PDE6B',\n",
              "   'PDE1C',\n",
              "   'ADCY4',\n",
              "   'NPR2',\n",
              "   'GUCY2D',\n",
              "   'PDE8A',\n",
              "   'PDE4A',\n",
              "   'PDE1A',\n",
              "   'PDE10A',\n",
              "   'AC022414.1',\n",
              "   'PDE6H',\n",
              "   'PDE4D',\n",
              "   'GUCY1A2',\n",
              "   'ADCY1',\n",
              "   'PDE9A',\n",
              "   'PDE4C',\n",
              "   'PDE7A',\n",
              "   'NPR1',\n",
              "   'GUCY2F',\n",
              "   'PDE8B',\n",
              "   'PDE6G',\n",
              "   'ADCY10',\n",
              "   'PDE4B',\n",
              "   'PDE1B',\n",
              "   'GUCY2C'],\n",
              "  'all_keratan-sulfate_synthesis': ['CHST2',\n",
              "   'ST3GAL3',\n",
              "   'B3GNT3',\n",
              "   'B4GALT5',\n",
              "   'ST3GAL4',\n",
              "   'ST3GAL1',\n",
              "   'ST3GAL2',\n",
              "   'B4GALT2',\n",
              "   'B3GNT2',\n",
              "   'B3GNT8',\n",
              "   'B3GNT6',\n",
              "   'CHST3',\n",
              "   'B3GNT4',\n",
              "   'B3GNTL1',\n",
              "   'CHST5',\n",
              "   'B4GALT3',\n",
              "   'B4GAT1',\n",
              "   'B3GNT7',\n",
              "   'CHST4',\n",
              "   'B4GALT1',\n",
              "   'CHST1',\n",
              "   'CHST6'],\n",
              "  'all_mitotic-spindle-component': ['NDC80',\n",
              "   'EPB41',\n",
              "   'BIN1',\n",
              "   'RFC1',\n",
              "   'PLEKHG2',\n",
              "   'TUBGCP6',\n",
              "   'AKAP13',\n",
              "   'TPX2',\n",
              "   'ECT2',\n",
              "   'PCGF5',\n",
              "   'MYH10',\n",
              "   'NOTCH2',\n",
              "   'RAB3GAP1',\n",
              "   'KIF1B',\n",
              "   'DYNC1H1',\n",
              "   'ARF6',\n",
              "   'CDC42EP4',\n",
              "   'CENPJ',\n",
              "   'FARP1',\n",
              "   'ARHGAP29',\n",
              "   'PALLD',\n",
              "   'CEP57',\n",
              "   'DOCK4',\n",
              "   'CNTROB',\n",
              "   'EPB41L2',\n",
              "   'TAOK2',\n",
              "   'PKD2',\n",
              "   'TUBA4A',\n",
              "   'MYH9',\n",
              "   'HDAC6',\n",
              "   'ARHGEF7',\n",
              "   'MAP1S',\n",
              "   'CLIP2',\n",
              "   'NF1',\n",
              "   'SYNPO',\n",
              "   'PLK1',\n",
              "   'EZR',\n",
              "   'CTTN',\n",
              "   'SMC3',\n",
              "   'SPTAN1',\n",
              "   'NCK1',\n",
              "   'CSNK1D',\n",
              "   'APC',\n",
              "   'RACGAP1',\n",
              "   'ARHGAP4',\n",
              "   'KPTN',\n",
              "   'PXN',\n",
              "   'CDC42BPA',\n",
              "   'ALMS1',\n",
              "   'CDK1',\n",
              "   'RALBP1',\n",
              "   'DST',\n",
              "   'FSCN1',\n",
              "   'ALS2',\n",
              "   'ATG4B',\n",
              "   'SHROOM2',\n",
              "   'FBXO5',\n",
              "   'MARCKS',\n",
              "   'ARHGDIA',\n",
              "   'RASA2',\n",
              "   'PCM1',\n",
              "   'SASS6',\n",
              "   'MYO9B',\n",
              "   'ARHGEF11',\n",
              "   'ARHGAP27',\n",
              "   'CLASP1',\n",
              "   'RHOT2',\n",
              "   'MID1',\n",
              "   'DOCK2',\n",
              "   'CDC42EP2',\n",
              "   'MID1IP1',\n",
              "   'NCK2',\n",
              "   'TOP2A',\n",
              "   'KIF23',\n",
              "   'TUBD1',\n",
              "   'CLIP1',\n",
              "   'KIF5B',\n",
              "   'CD2AP',\n",
              "   'CDC42EP1',\n",
              "   'ARL8A',\n",
              "   'STAU1',\n",
              "   'CDC42',\n",
              "   'ARHGAP5',\n",
              "   'BRCA2',\n",
              "   'LRPPRC',\n",
              "   'NEDD9',\n",
              "   'PPP4R2',\n",
              "   'KIF2C',\n",
              "   'KIF3B',\n",
              "   'ARFGEF1',\n",
              "   'ROCK1',\n",
              "   'CDC27',\n",
              "   'UXT',\n",
              "   'RAPGEF6',\n",
              "   'INCENP',\n",
              "   'GPR21',\n",
              "   'KIF11',\n",
              "   'ARAP3',\n",
              "   'BCAR1',\n",
              "   'MAPRE1',\n",
              "   'ARHGEF3',\n",
              "   'NIN',\n",
              "   'RICTOR',\n",
              "   'SPTBN1',\n",
              "   'HOOK3',\n",
              "   'ABL1',\n",
              "   'FLNB',\n",
              "   'RHOF',\n",
              "   'PAFAH1B1',\n",
              "   'BUB1',\n",
              "   'SSH2',\n",
              "   'DLG1',\n",
              "   'SUN2',\n",
              "   'SOS1',\n",
              "   'ACTN4',\n",
              "   'KIF22',\n",
              "   'PIF1',\n",
              "   'VCL',\n",
              "   'TUBGCP3',\n",
              "   'WASF1',\n",
              "   'CENPF',\n",
              "   'BCL2L11',\n",
              "   'ABI1',\n",
              "   'AURKA',\n",
              "   'FLNA',\n",
              "   'KIF3C',\n",
              "   'FGD6',\n",
              "   'KIF4A',\n",
              "   'RASA1',\n",
              "   'PCNT',\n",
              "   'RAPGEF5',\n",
              "   'LATS1',\n",
              "   'CYTH2',\n",
              "   'PRC1',\n",
              "   'NET1',\n",
              "   'RANBP9',\n",
              "   'CENPE',\n",
              "   'TIAM1',\n",
              "   'MARK4',\n",
              "   'CEP192',\n",
              "   'CAPZB',\n",
              "   'TTK',\n",
              "   'ARHGEF2',\n",
              "   'SMC1A',\n",
              "   'LMNB1',\n",
              "   'FGD4',\n",
              "   'CDK5RAP2',\n",
              "   'GSN',\n",
              "   'NEK2',\n",
              "   'STK38L',\n",
              "   'CNTRL',\n",
              "   'CCDC88A',\n",
              "   'SEPTIN9',\n",
              "   'PDLIM5',\n",
              "   'SMC4',\n",
              "   'KIF20B',\n",
              "   'RASAL2',\n",
              "   'ARFIP2',\n",
              "   'NUMA1',\n",
              "   'ITSN1',\n",
              "   'KATNB1',\n",
              "   'KNTC1',\n",
              "   'ARHGEF12',\n",
              "   'BIRC5',\n",
              "   'KLC1',\n",
              "   'TUBGCP5',\n",
              "   'GEMIN4',\n",
              "   'KIFAP3',\n",
              "   'ESPL1',\n",
              "   'MYO1E',\n",
              "   'ANLN',\n",
              "   'KATNA1',\n",
              "   'TBCD',\n",
              "   'DLGAP5',\n",
              "   'ABR',\n",
              "   'LLGL1',\n",
              "   'SORBS2',\n",
              "   'CCNB2',\n",
              "   'CEP250',\n",
              "   'SAC3D1',\n",
              "   'NUSAP1',\n",
              "   'SHROOM1',\n",
              "   'CEP131',\n",
              "   'ARHGAP10',\n",
              "   'DYNLL2',\n",
              "   'TLK1',\n",
              "   'TSC1',\n",
              "   'BCR',\n",
              "   'PREX1',\n",
              "   'CKAP5',\n",
              "   'RABGAP1',\n",
              "   'TRIO',\n",
              "   'OPHN1',\n",
              "   'CEP72',\n",
              "   'KIF15',\n",
              "   'MAP3K11',\n",
              "   'TUBGCP2'],\n",
              "  'all_chondroitine-sulfate_degradation': ['HEXA',\n",
              "   'GALNS',\n",
              "   'GLB1',\n",
              "   'AC244197.3',\n",
              "   'NEU1',\n",
              "   'IDUA',\n",
              "   'IDS',\n",
              "   'GUSB',\n",
              "   'HEXB',\n",
              "   'ARSB'],\n",
              "  'all_fructose-mannose_metabolism': ['GMDS',\n",
              "   'SLC5A10',\n",
              "   'KHK',\n",
              "   'FPGT',\n",
              "   'MPI',\n",
              "   'SLC2A7',\n",
              "   'GMPPA',\n",
              "   'FCSK',\n",
              "   'SLC5A9',\n",
              "   'SLC2A5',\n",
              "   'SORD',\n",
              "   'PMM2',\n",
              "   'PMM1',\n",
              "   'MGAM',\n",
              "   'GMPPB',\n",
              "   'TSTA3'],\n",
              "  'all_fatty-acid-beta-oxidation-peroxisomal': ['EHHADH',\n",
              "   'ALDH1A1',\n",
              "   'ZADH2',\n",
              "   'ADH5',\n",
              "   'ACOT8',\n",
              "   'ADH1C',\n",
              "   'ADH7',\n",
              "   'ACAA1',\n",
              "   'ADH1A',\n",
              "   'ACOX3',\n",
              "   'ADH6',\n",
              "   'PHYH',\n",
              "   'HSD17B4',\n",
              "   'ACOX1',\n",
              "   'ADH1B'],\n",
              "  'all_phosphoinositide_signaling': ['PIK3R1',\n",
              "   'ITPKC',\n",
              "   'PIK3R3',\n",
              "   'INPP5D',\n",
              "   'PLCB1',\n",
              "   'INPPL1',\n",
              "   'PIP5K1A',\n",
              "   'PLCD3',\n",
              "   'MTMR3',\n",
              "   'PLCG1',\n",
              "   'PLCB4',\n",
              "   'HCST',\n",
              "   'PIK3C2G',\n",
              "   'PLCE1',\n",
              "   'INPP1',\n",
              "   'SYNJ2',\n",
              "   'ITPKB',\n",
              "   'ITPKA',\n",
              "   'PLCXD2',\n",
              "   'INPP5B',\n",
              "   'INPP5E',\n",
              "   'PLCB2',\n",
              "   'PLCH2',\n",
              "   'INPP4A',\n",
              "   'PIK3R2',\n",
              "   'PLCG2',\n",
              "   'PIP5K1B',\n",
              "   'PLCL1',\n",
              "   'PIK3CA',\n",
              "   'INPP4B',\n",
              "   'PIK3CB',\n",
              "   'PIK3R5',\n",
              "   'OCRL',\n",
              "   'PIK3CD',\n",
              "   'INPP5A',\n",
              "   'PLCD4',\n",
              "   'PLCH1',\n",
              "   'PTEN',\n",
              "   'PIK3C2B',\n",
              "   'PLCB3',\n",
              "   'PIK3C2A',\n",
              "   'PIK3CG',\n",
              "   'PLCZ1',\n",
              "   'PLCD1',\n",
              "   'SYNJ1',\n",
              "   'PIP5K1C',\n",
              "   'PIK3C3'],\n",
              "  'all_autophagy-chaperone-mediated': ['EEF1A2',\n",
              "   'SNRNP70',\n",
              "   'SNCA',\n",
              "   'EEF1A1',\n",
              "   'CLU',\n",
              "   'GFAP',\n",
              "   'HSPA8',\n",
              "   'HSP90AA1',\n",
              "   'BAG3',\n",
              "   'LAMP2',\n",
              "   'PLK3',\n",
              "   'ATP13A2',\n",
              "   'STUB1',\n",
              "   'CTSA',\n",
              "   'SYNPO2',\n",
              "   'ATG7'],\n",
              "  'all_ascorbate-uptake': ['SLC23A2', 'SLC23A1', 'SLC2A10'],\n",
              "  'all_ketone-body_metabolism': ['SLC16A3',\n",
              "   'AACS',\n",
              "   'HMGCL',\n",
              "   'ACSS2',\n",
              "   'SLC16A8',\n",
              "   'ACAT1',\n",
              "   'ACAT2',\n",
              "   'SLC16A1',\n",
              "   'BDH1',\n",
              "   'SLC5A12',\n",
              "   'ACSS1',\n",
              "   'ACOT12',\n",
              "   'HMGCLL1',\n",
              "   'OXCT1',\n",
              "   'OXCT2',\n",
              "   'SLC5A8'],\n",
              "  'all_keratan-sulfate_degradation': ['GLB1',\n",
              "   'FUCA1',\n",
              "   'HEXA',\n",
              "   'HEXB',\n",
              "   'NAGA',\n",
              "   'FUCA2',\n",
              "   'GALNS',\n",
              "   'NEU1',\n",
              "   'GNS',\n",
              "   'AGA'],\n",
              "  'all_autophagic-cell-death': ['BNIP3',\n",
              "   'LAPTM5',\n",
              "   'TP53INP1',\n",
              "   'PHB2',\n",
              "   'SH3GLB1',\n",
              "   'CDKN2D',\n",
              "   'LAMP1',\n",
              "   'TREM2',\n",
              "   'ATG7',\n",
              "   'CDKN1B',\n",
              "   'CTSV'],\n",
              "  'all_GABA-shunt': ['ALDH5A1',\n",
              "   'ALDH9A1',\n",
              "   'ABAT',\n",
              "   'ADHFE1',\n",
              "   'GAD2',\n",
              "   'SLC36A1',\n",
              "   'ALDH4A1',\n",
              "   'GAD1',\n",
              "   'AKR7A2',\n",
              "   'CNDP1'],\n",
              "  'all_reticulophagy': ['RETREG1',\n",
              "   'UFM1',\n",
              "   'STING1',\n",
              "   'DDRGK1',\n",
              "   'RETREG3',\n",
              "   'UFL1',\n",
              "   'UBA5',\n",
              "   'RB1CC1',\n",
              "   'ATG2A',\n",
              "   'TEX264',\n",
              "   'UFC1',\n",
              "   'ATG2B'],\n",
              "  'all_MHC-I-presentation': ['TAP2',\n",
              "   'TAP1',\n",
              "   'ERAP1',\n",
              "   'PDIA3',\n",
              "   'HLA-C',\n",
              "   'HLA-A',\n",
              "   'HLA-B',\n",
              "   'THOP1',\n",
              "   'CALR',\n",
              "   'TAPBP'],\n",
              "  'all_cholesterol_metabolism': ['DHCR7',\n",
              "   'CYP51A1',\n",
              "   'ABCA1',\n",
              "   'HMGCR',\n",
              "   'LCAT',\n",
              "   'IDI2',\n",
              "   'IDI1'],\n",
              "  'all_apoptosis': ['IGF2R',\n",
              "   'DNAJC3',\n",
              "   'IL6',\n",
              "   'IRF1',\n",
              "   'BTG2',\n",
              "   'CFLAR',\n",
              "   'PAK1',\n",
              "   'APP',\n",
              "   'BGN',\n",
              "   'RETSAT',\n",
              "   'TNFRSF12A',\n",
              "   'ENO2',\n",
              "   'ISG20',\n",
              "   'CREBBP',\n",
              "   'TGFBR3',\n",
              "   'HGF',\n",
              "   'GPX1',\n",
              "   'DAP',\n",
              "   'PTK2',\n",
              "   'CASP7',\n",
              "   'BNIP3L',\n",
              "   'PMAIP1',\n",
              "   'AC022506.1',\n",
              "   'PSEN1',\n",
              "   'GCH1',\n",
              "   'IGFBP6',\n",
              "   'LEF1',\n",
              "   'PPT1',\n",
              "   'MCL1',\n",
              "   'RNASEL',\n",
              "   'RHOB',\n",
              "   'IFNB1',\n",
              "   'ROCK1',\n",
              "   'ADD1',\n",
              "   'DIABLO',\n",
              "   'SATB1',\n",
              "   'IL1B',\n",
              "   'HMOX1',\n",
              "   'GADD45B',\n",
              "   'CDC25B',\n",
              "   'ANKH',\n",
              "   'EGR3',\n",
              "   'CASP2',\n",
              "   'BRCA1',\n",
              "   'H1-0',\n",
              "   'TNF',\n",
              "   'PLAT',\n",
              "   'PDCD4',\n",
              "   'TIMP1',\n",
              "   'MMP2',\n",
              "   'PSEN2',\n",
              "   'BMP2',\n",
              "   'TGFB2',\n",
              "   'CASP3',\n",
              "   'RARA',\n",
              "   'KRT18',\n",
              "   'MADD',\n",
              "   'SOD2',\n",
              "   'IL18',\n",
              "   'PPP3R1',\n",
              "   'GADD45A',\n",
              "   'PDGFRB',\n",
              "   'CYLD',\n",
              "   'GPX4',\n",
              "   'TOP2A',\n",
              "   'CTNNB1',\n",
              "   'BAX',\n",
              "   'FEZ1',\n",
              "   'DAP3',\n",
              "   'HMGB2',\n",
              "   'LMNA',\n",
              "   'SMAD7',\n",
              "   'BTG3',\n",
              "   'F2',\n",
              "   'CDK2',\n",
              "   'SLC20A1',\n",
              "   'DDIT3',\n",
              "   'CASP1',\n",
              "   'TXNIP',\n",
              "   'GSTM1',\n",
              "   'DFFA',\n",
              "   'CDKN1B',\n",
              "   'CCNA1',\n",
              "   'CD38',\n",
              "   'ANXA1',\n",
              "   'XIAP',\n",
              "   'DPYD',\n",
              "   'RHOT2',\n",
              "   'TAP1',\n",
              "   'BIRC3',\n",
              "   'IFITM3',\n",
              "   'PLPPR4',\n",
              "   'SAT1',\n",
              "   'RELA',\n",
              "   'ETF1',\n",
              "   'BCL10',\n",
              "   'BMF',\n",
              "   'PRF1',\n",
              "   'GNA15',\n",
              "   'CD14',\n",
              "   'PPP2R5B',\n",
              "   'GPX3',\n",
              "   'NEDD9',\n",
              "   'CD2',\n",
              "   'CASP8',\n",
              "   'FAS',\n",
              "   'DNM1L',\n",
              "   'LGALS3',\n",
              "   'TIMP3',\n",
              "   'FASLG',\n",
              "   'IER3',\n",
              "   'CASP4',\n",
              "   'EREG',\n",
              "   'EMP1',\n",
              "   'CASP6',\n",
              "   'TNFSF10',\n",
              "   'CCND1',\n",
              "   'CDKN1A',\n",
              "   'BCL2L11',\n",
              "   'F2R',\n",
              "   'MGMT',\n",
              "   'AVPR1A',\n",
              "   'ERBB3',\n",
              "   'CLU',\n",
              "   'GSN',\n",
              "   'NEFH',\n",
              "   'BCL2L10',\n",
              "   'TSPO',\n",
              "   'IFNGR1',\n",
              "   'CASP9',\n",
              "   'SPTAN1',\n",
              "   'BCL2L2-PABPN1',\n",
              "   'CD44',\n",
              "   'SOD1',\n",
              "   'PEA15',\n",
              "   'EBP',\n",
              "   'GUCY2D',\n",
              "   'IL1A',\n",
              "   'JUN',\n",
              "   'LUM',\n",
              "   'SQSTM1',\n",
              "   'GSR',\n",
              "   'VDAC2',\n",
              "   'CAV1',\n",
              "   'TIMP2',\n",
              "   'DNAJA1',\n",
              "   'WEE1',\n",
              "   'BCL2L1',\n",
              "   'BIK',\n",
              "   'SC5D',\n",
              "   'CTH',\n",
              "   'BID',\n",
              "   'BCL2L2',\n",
              "   'FDXR',\n",
              "   'CCND2',\n",
              "   'ATF3',\n",
              "   'ERBB2',\n",
              "   'HSPB1',\n",
              "   'PLCB2',\n",
              "   'BCAP31',\n",
              "   'CD69',\n",
              "   'AIFM3',\n",
              "   'DCN'],\n",
              "  'all_autophagy-nucleus': ['ATG5',\n",
              "   'ATG13',\n",
              "   'ATG2B',\n",
              "   'ATG9A',\n",
              "   'WDR45',\n",
              "   'WDR45B',\n",
              "   'ATG7',\n",
              "   'ATG2A',\n",
              "   'ATG3',\n",
              "   'ATG9B',\n",
              "   'RB1CC1',\n",
              "   'WIPI1',\n",
              "   'WIPI2',\n",
              "   'ATG12'],\n",
              "  'all_ALA-ASP_metabolism': ['SLC6A14',\n",
              "   'SLC25A12',\n",
              "   'SLC1A3',\n",
              "   'GOT1',\n",
              "   'SLC7A2',\n",
              "   'SLC1A4',\n",
              "   'SLC38A5',\n",
              "   'SLC7A8',\n",
              "   'SLC38A3',\n",
              "   'SLC1A2',\n",
              "   'ACY3',\n",
              "   'SLC1A1',\n",
              "   'AGXT2',\n",
              "   'ASNS',\n",
              "   'SLC38A1',\n",
              "   'GPT2',\n",
              "   'SLC1A7',\n",
              "   'AGXT',\n",
              "   'GOT2',\n",
              "   'SLC38A4',\n",
              "   'SLC25A13',\n",
              "   'SLC7A10',\n",
              "   'ASRGL1',\n",
              "   'DDO',\n",
              "   'GPT',\n",
              "   'SLC1A5',\n",
              "   'SLC1A6',\n",
              "   'SLC36A1',\n",
              "   'SLC38A2',\n",
              "   'SLC7A3',\n",
              "   'ASPA'],\n",
              "  'all_ROS-detoxification': ['AOX1',\n",
              "   'SOD3',\n",
              "   'SLC2A10',\n",
              "   'AKR1C4',\n",
              "   'MPO',\n",
              "   'ALDH3A1',\n",
              "   'PRDX6',\n",
              "   'EPX',\n",
              "   'ADH1B',\n",
              "   'TXNRD1',\n",
              "   'AKR1B1',\n",
              "   'TPO',\n",
              "   'AKR1A1',\n",
              "   'ADH1C',\n",
              "   'SOD1',\n",
              "   'CAT',\n",
              "   'PXDN',\n",
              "   'ZADH2',\n",
              "   'ADH7',\n",
              "   'LPO',\n",
              "   'PXDNL',\n",
              "   'ADH1A',\n",
              "   'PRDX5',\n",
              "   'TXNRD2',\n",
              "   'PRDX1',\n",
              "   'ALDH1A1',\n",
              "   'SOD2',\n",
              "   'PRDX2',\n",
              "   'ALDH3B2',\n",
              "   'ALDH2',\n",
              "   'ALDH3B1',\n",
              "   'PRDX3'],\n",
              "  'all_xenobiotics_metabolism': ['ALDH3A1',\n",
              "   'UGT1A8',\n",
              "   'AKR1B1',\n",
              "   'CYP51A1',\n",
              "   'AKR1C4',\n",
              "   'SULT1A2',\n",
              "   'CYP2E1',\n",
              "   'MAOB',\n",
              "   'SULT1A1',\n",
              "   'AADAC',\n",
              "   'ADH7',\n",
              "   'AKR1A1',\n",
              "   'ALDH1B1',\n",
              "   'CBR1',\n",
              "   'AOX1',\n",
              "   'ADH1B',\n",
              "   'AKR7A2',\n",
              "   'ALDH2',\n",
              "   'CES2',\n",
              "   'ALDH3B1',\n",
              "   'PAPSS2',\n",
              "   'UGT1A10',\n",
              "   'MAOA',\n",
              "   'ADH1C',\n",
              "   'ALDH1A1',\n",
              "   'SULT1A3',\n",
              "   'ALDH3B2',\n",
              "   'PAPSS1',\n",
              "   'ADH1A',\n",
              "   'ZADH2'],\n",
              "  'all_purine_metabolism': ['SLC29A2',\n",
              "   'XDH',\n",
              "   'AMPD3',\n",
              "   'GMPR',\n",
              "   'NT5C1B',\n",
              "   'AK2',\n",
              "   'ITPA',\n",
              "   'SLC28A2',\n",
              "   'ADK',\n",
              "   'ADSS1',\n",
              "   'ADA',\n",
              "   'AMPD1',\n",
              "   'GMPR2',\n",
              "   'GDA',\n",
              "   'AK1',\n",
              "   'ADSS2',\n",
              "   'AK3',\n",
              "   'APRT',\n",
              "   'SLC28A3',\n",
              "   'AMPD2',\n",
              "   'HPRT1',\n",
              "   'NT5C2',\n",
              "   'GUK1',\n",
              "   'AK7',\n",
              "   'NT5E',\n",
              "   'AK5',\n",
              "   'SLC2A9',\n",
              "   'AK4'],\n",
              "  'all_bile-acid_synthesis': ['SLC27A2',\n",
              "   'CYP46A1',\n",
              "   'SLC10A1',\n",
              "   'HSD3B7',\n",
              "   'SLC10A2',\n",
              "   'BAAT',\n",
              "   'AMACR',\n",
              "   'SLCO1B3',\n",
              "   'SLCO4A1',\n",
              "   'SLCO1A2',\n",
              "   'AKR1D1',\n",
              "   'CYP27A1',\n",
              "   'SLCO2B1',\n",
              "   'CYP39A1',\n",
              "   'ABCB11',\n",
              "   'CYP7A1',\n",
              "   'SLCO1B1',\n",
              "   'ABCC3',\n",
              "   'CH25H',\n",
              "   'ACOX2',\n",
              "   'SCP2',\n",
              "   'HSD17B4'],\n",
              "  'all_CoA_synthesis': ['PPCDC',\n",
              "   'PANK1',\n",
              "   'COASY',\n",
              "   'VNN1',\n",
              "   'PANK4',\n",
              "   'PPCS',\n",
              "   'PANK2',\n",
              "   'VNN2',\n",
              "   'VNN3',\n",
              "   'PANK3',\n",
              "   'SLC25A16',\n",
              "   'SLC5A6'],\n",
              "  'all_multidrug-resistance': ['ABCC4', 'ABCB4', 'ABCC3', 'ABCC1'],\n",
              "  'all_osmotic-stress-response': ['ITGA2',\n",
              "   'TSPO',\n",
              "   'SLC25A23',\n",
              "   'RELB',\n",
              "   'CAPN3',\n",
              "   'LRRC8A',\n",
              "   'XRCC6',\n",
              "   'HSP90AB1',\n",
              "   'LRRC8C',\n",
              "   'SLC12A5',\n",
              "   'STK39',\n",
              "   'MICU1',\n",
              "   'AC138894.1',\n",
              "   'AQP1',\n",
              "   'EFHD1',\n",
              "   'MLC1',\n",
              "   'AQP5',\n",
              "   'ANXA7',\n",
              "   'EPO',\n",
              "   'FMO1',\n",
              "   'EGFR',\n",
              "   'TRPV4',\n",
              "   'APOBEC1',\n",
              "   'CAB39',\n",
              "   'MARVELD3',\n",
              "   'ATF2',\n",
              "   'TH',\n",
              "   'SORD',\n",
              "   'MAPK10',\n",
              "   'DDX3X',\n",
              "   'FP565260.3',\n",
              "   'OXSR1',\n",
              "   'RCSD1',\n",
              "   'TSC22D4',\n",
              "   'PKD2',\n",
              "   'DYSF',\n",
              "   'LRRC8E',\n",
              "   'AQP9',\n",
              "   'ABCB1',\n",
              "   'NFAT5',\n",
              "   'YBX3',\n",
              "   'BAD',\n",
              "   'NOLC1',\n",
              "   'SERPINB6',\n",
              "   'CLDN1',\n",
              "   'ARHGEF2',\n",
              "   'PTK2B',\n",
              "   'SLC12A2',\n",
              "   'MT-CYB',\n",
              "   'ZFP36L1',\n",
              "   'ICOSLG',\n",
              "   'TACR3',\n",
              "   'TLR3',\n",
              "   'TP53',\n",
              "   'MAP2K7',\n",
              "   'XRCC5',\n",
              "   'PKN1',\n",
              "   'SST',\n",
              "   'TSC22D2',\n",
              "   'PLK3',\n",
              "   'TNF',\n",
              "   'PAPPA2',\n",
              "   'AKR1B1',\n",
              "   'KMO',\n",
              "   'SLC2A1',\n",
              "   'OXT',\n",
              "   'LETM1',\n",
              "   'BDKRB2',\n",
              "   'MBIP',\n",
              "   'HNMT',\n",
              "   'PTGS2',\n",
              "   'CLN3',\n",
              "   'SCN2A',\n",
              "   'TSC22D3',\n",
              "   'BAX',\n",
              "   'LRRC8D',\n",
              "   'SLC12A6',\n",
              "   'PDPK1',\n",
              "   'CASP3',\n",
              "   'MAP7',\n",
              "   'SLC2A4',\n",
              "   'MYLK',\n",
              "   'ERRFI1',\n",
              "   'KCNMA1',\n",
              "   'AVP',\n",
              "   'MAPK13',\n",
              "   'WNK3'],\n",
              "  'all_HIS_metabolism': ['SLC3A1',\n",
              "   'SLC22A1',\n",
              "   'MAOB',\n",
              "   'SLC38A4',\n",
              "   'SLC6A14',\n",
              "   'ALDH3B2',\n",
              "   'SLC38A3',\n",
              "   'ALDH2',\n",
              "   'AOC2',\n",
              "   'ALDH3B1',\n",
              "   'HAL',\n",
              "   'SLC22A2',\n",
              "   'UROC1',\n",
              "   'DDC',\n",
              "   'ALDH3A1',\n",
              "   'HDC',\n",
              "   'HNMT',\n",
              "   'AOC1',\n",
              "   'AOC3',\n",
              "   'SLC22A3',\n",
              "   'CNDP1',\n",
              "   'MAOA',\n",
              "   'FTCD'],\n",
              "  'all_G1S-transition': ['AURKA',\n",
              "   'BIRC5',\n",
              "   'CDKN2D',\n",
              "   'CDC20',\n",
              "   'CCNB2',\n",
              "   'BUB1',\n",
              "   'CDK1',\n",
              "   'PLK1',\n",
              "   'CCNF',\n",
              "   'CCNA2',\n",
              "   'KIF20A',\n",
              "   'CDC25C',\n",
              "   'RACGAP1',\n",
              "   'CKS2',\n",
              "   'CENPF',\n",
              "   'TOP2A',\n",
              "   'CDC25B',\n",
              "   'BUB1B',\n",
              "   'CCNB1',\n",
              "   'CENPA'],\n",
              "  'all_pterin_synthesis': ['PCBD1', 'QDPR', 'PTS', 'SPR', 'GCH1'],\n",
              "  'all_selenoamino-acid_metabolism': ['AHCY',\n",
              "   'MAT2A',\n",
              "   'SCLY',\n",
              "   'MAT2B',\n",
              "   'AHCYL1',\n",
              "   'MAT1A',\n",
              "   'PAPSS2',\n",
              "   'CTH',\n",
              "   'CBS',\n",
              "   'PAPSS1',\n",
              "   'SEPHS2',\n",
              "   'AHCYL2',\n",
              "   'SEPHS1'],\n",
              "  'all_oxidative-phosphorylation': ['SUPV3L1',\n",
              "   'NQO2',\n",
              "   'COX15',\n",
              "   'ATP5F1A',\n",
              "   'PHYH',\n",
              "   'ATP5F1D',\n",
              "   'HSD17B10',\n",
              "   'ATP6V1E1',\n",
              "   'TIMM50',\n",
              "   'NDUFB8',\n",
              "   'MRPS30',\n",
              "   'COX7A2',\n",
              "   'DLAT',\n",
              "   'PHB2',\n",
              "   'GPI',\n",
              "   'PDHB',\n",
              "   'NDUFS2',\n",
              "   'ACADVL',\n",
              "   'NDUFB6',\n",
              "   'RHOT1',\n",
              "   'TOMM70',\n",
              "   'NDUFC1',\n",
              "   'BAX',\n",
              "   'SLC25A3',\n",
              "   'SLC25A20',\n",
              "   'OGDH',\n",
              "   'GRPEL1',\n",
              "   'GOT2',\n",
              "   'ATP6V0C',\n",
              "   'NDUFA3',\n",
              "   'ISCU',\n",
              "   'MRPL15',\n",
              "   'SLC25A5',\n",
              "   'ISCA1',\n",
              "   'COX6A1',\n",
              "   'ATP6V0B',\n",
              "   'AIFM1',\n",
              "   'ATP5MC2',\n",
              "   'COX10',\n",
              "   'NDUFA8',\n",
              "   'NDUFA5',\n",
              "   'NDUFS3',\n",
              "   'SURF1',\n",
              "   'NDUFA7',\n",
              "   'NDUFB4',\n",
              "   'ETFA',\n",
              "   'PDHX',\n",
              "   'IDH2',\n",
              "   'LDHB',\n",
              "   'DLST',\n",
              "   'ATP5PO',\n",
              "   'GPX4',\n",
              "   'NDUFS6',\n",
              "   'VDAC2',\n",
              "   'OXA1L',\n",
              "   'NDUFC2',\n",
              "   'ATP6V1H',\n",
              "   'ATP5MF',\n",
              "   'NDUFA4',\n",
              "   'UQCRC1',\n",
              "   'IDH3G',\n",
              "   'LDHA',\n",
              "   'VDAC1',\n",
              "   'ATP5MG',\n",
              "   'NDUFA1',\n",
              "   'HCCS',\n",
              "   'ATP5F1B',\n",
              "   'COX17',\n",
              "   'MRPS15',\n",
              "   'ATP6AP1',\n",
              "   'ATP5F1C',\n",
              "   'UQCRC2',\n",
              "   'ACADM',\n",
              "   'ATP6V1F',\n",
              "   'AFG3L2',\n",
              "   'SUCLA2',\n",
              "   'ABCB7',\n",
              "   'ECHS1',\n",
              "   'TIMM17A',\n",
              "   'SUCLG1',\n",
              "   'ETFDH',\n",
              "   'COX7A2L',\n",
              "   'LRPPRC',\n",
              "   'IMMT',\n",
              "   'CYCS',\n",
              "   'MAOB',\n",
              "   'ACADSB',\n",
              "   'NDUFB1',\n",
              "   'TIMM13',\n",
              "   'MFN2',\n",
              "   'CPT1A',\n",
              "   'MDH1',\n",
              "   'HSPA9',\n",
              "   'COX11',\n",
              "   'NDUFB2',\n",
              "   'IDH3A',\n",
              "   'DLD',\n",
              "   'MGST3',\n",
              "   'MDH2',\n",
              "   'ECH1',\n",
              "   'ATP1B1',\n",
              "   'NNT',\n",
              "   'UQCRH',\n",
              "   'PMPCA',\n",
              "   'NDUFV2',\n",
              "   'ATP6V1G1',\n",
              "   'COX7B',\n",
              "   'TCIRG1',\n",
              "   'ATP5PB',\n",
              "   'TOMM22',\n",
              "   'PDP1',\n",
              "   'NDUFA6',\n",
              "   'MRPS11',\n",
              "   'MRPL35',\n",
              "   'PDK4',\n",
              "   'FDX1',\n",
              "   'MRPS12',\n",
              "   'PRDX3',\n",
              "   'ACAT1',\n",
              "   'ACAA1',\n",
              "   'COX7C',\n",
              "   'MTRF1',\n",
              "   'COX6C',\n",
              "   'COX6B1',\n",
              "   'RHOT2',\n",
              "   'MRPL34',\n",
              "   'ATP5MC1',\n",
              "   'PDHA1',\n",
              "   'UQCRQ',\n",
              "   'SLC25A4',\n",
              "   'NDUFB7',\n",
              "   'CYC1',\n",
              "   'HADHB',\n",
              "   'UQCR11',\n",
              "   'TIMM8B',\n",
              "   'MRPS22',\n",
              "   'IDH3B',\n",
              "   'BCKDHA',\n",
              "   'ALAS1',\n",
              "   'IDH1',\n",
              "   'OAT',\n",
              "   'AL133352.1',\n",
              "   'COX8A',\n",
              "   'ACO2',\n",
              "   'ATP5PF',\n",
              "   'RETSAT',\n",
              "   'FH',\n",
              "   'CYB5R3',\n",
              "   'NDUFAB1',\n",
              "   'ATP6V0E1',\n",
              "   'UQCR10',\n",
              "   'MPC1',\n",
              "   'CS',\n",
              "   'MTRR',\n",
              "   'SLC25A6',\n",
              "   'HTRA2',\n",
              "   'POR',\n",
              "   'ATP5MC3',\n",
              "   'NDUFS8',\n",
              "   'OPA1',\n",
              "   'SDHA',\n",
              "   'SDHD',\n",
              "   'COX4I1',\n",
              "   'ACAA2',\n",
              "   'DECR1',\n",
              "   'MTX2',\n",
              "   'BDH2',\n",
              "   'COX5B',\n",
              "   'SDHC',\n",
              "   'SLC25A12',\n",
              "   'ATP6V1C1',\n",
              "   'VDAC3',\n",
              "   'ATP6V1D',\n",
              "   'CASP7',\n",
              "   'ATP5PD',\n",
              "   'AL358113.1',\n",
              "   'NDUFB5',\n",
              "   'NDUFS7',\n",
              "   'ALDH6A1',\n",
              "   'CYB5A',\n",
              "   'NDUFV1',\n",
              "   'NDUFA2',\n",
              "   'ECI1',\n",
              "   'HADHA',\n",
              "   'FXN',\n",
              "   'NDUFA9',\n",
              "   'NDUFB3',\n",
              "   'POLR2F',\n",
              "   'NDUFS4',\n",
              "   'TIMM9',\n",
              "   'UQCRB',\n",
              "   'NDUFS1',\n",
              "   'TIMM10',\n",
              "   'MRPL11',\n",
              "   'ATP5ME',\n",
              "   'ATP5F1E',\n",
              "   'SLC25A11',\n",
              "   'GLUD1',\n",
              "   'SDHB',\n",
              "   'COX5A',\n",
              "   'UQCRFS1',\n",
              "   'ETFB'],\n",
              "  'all_purine_synthesis': ['AK1',\n",
              "   'AK5',\n",
              "   'AK3',\n",
              "   'AMPD1',\n",
              "   'NT5C1B',\n",
              "   'ADA',\n",
              "   'ADK',\n",
              "   'AMPD2',\n",
              "   'SLC28A3',\n",
              "   'NT5C2',\n",
              "   'HPRT1',\n",
              "   'ADSS1',\n",
              "   'AK7',\n",
              "   'SLC29A2',\n",
              "   'AMPD3',\n",
              "   'GDA',\n",
              "   'GMPR2',\n",
              "   'APRT',\n",
              "   'ITPA',\n",
              "   'XDH',\n",
              "   'AK2',\n",
              "   'GUK1',\n",
              "   'AK4',\n",
              "   'GMPR',\n",
              "   'NT5E',\n",
              "   'SLC2A9',\n",
              "   'SLC28A2',\n",
              "   'ADSS2'],\n",
              "  'all_TRP_metabolism': ['AADAT',\n",
              "   'GOT2',\n",
              "   'SLC18A2',\n",
              "   'SLC18A1',\n",
              "   'HAAO',\n",
              "   'AOC1',\n",
              "   'SLC7A8',\n",
              "   'SLC16A10',\n",
              "   'ACMSD',\n",
              "   'SLC6A14',\n",
              "   'INMT',\n",
              "   'SLC22A2',\n",
              "   'SLC7A5',\n",
              "   'TPH1',\n",
              "   'AOC2',\n",
              "   'SLC25A21',\n",
              "   'KYAT1',\n",
              "   'TDO2',\n",
              "   'MAOB',\n",
              "   'TPH2',\n",
              "   'SLC22A1',\n",
              "   'KMO',\n",
              "   'ALDH2',\n",
              "   'KYNU',\n",
              "   'ASMT',\n",
              "   'SLC22A3',\n",
              "   'MAOA',\n",
              "   'GCDH',\n",
              "   'DDC'],\n",
              "  'all_glycolysis': ['GAPDH',\n",
              "   'GCK',\n",
              "   'PFKFB1',\n",
              "   'ENO3',\n",
              "   'PGK1',\n",
              "   'PGM2',\n",
              "   'PKM',\n",
              "   'PFKP',\n",
              "   'ENO4',\n",
              "   'ENO1',\n",
              "   'ALDOC',\n",
              "   'ENO2',\n",
              "   'HK3',\n",
              "   'PFKFB2',\n",
              "   'PGM5',\n",
              "   'TPI1',\n",
              "   'ALDOA',\n",
              "   'ALDOB',\n",
              "   'PKLR',\n",
              "   'PGK2',\n",
              "   'PGM3',\n",
              "   'PFKM',\n",
              "   'PFKL',\n",
              "   'HK2',\n",
              "   'PGM1',\n",
              "   'GPI',\n",
              "   'HK1'],\n",
              "  'all_cytosolic-DNA-sensing_signaling': ['RIPK3',\n",
              "   'RIPK1',\n",
              "   'IFNA10',\n",
              "   'IFNA5',\n",
              "   'POLR3A',\n",
              "   'POLR3F',\n",
              "   'POLR3K',\n",
              "   'PYCARD',\n",
              "   'STING1',\n",
              "   'CCL4L2',\n",
              "   'AIM2',\n",
              "   'IKBKG',\n",
              "   'IFNA1',\n",
              "   'IL33',\n",
              "   'IL6',\n",
              "   'IFNA14',\n",
              "   'NFKB1',\n",
              "   'CCL4',\n",
              "   'IFNA4',\n",
              "   'DDX58',\n",
              "   'IFNA8',\n",
              "   'POLR3GL',\n",
              "   'NFKBIA',\n",
              "   'ATRIP',\n",
              "   'POLR1C',\n",
              "   'TREX1',\n",
              "   'CHUK',\n",
              "   'IKBKE',\n",
              "   'RELA',\n",
              "   'IL1B',\n",
              "   'POLR3B',\n",
              "   'MAVS',\n",
              "   'POLR3H',\n",
              "   'IRF3',\n",
              "   'IL18',\n",
              "   'ZBP1',\n",
              "   'IFNB1',\n",
              "   'IFNA2',\n",
              "   'IFNA6',\n",
              "   'IFNA13',\n",
              "   'IFNA16',\n",
              "   'IFNA21',\n",
              "   'CASP1',\n",
              "   'IFNA17',\n",
              "   'NFKBIB',\n",
              "   'POLR1D',\n",
              "   'IKBKB',\n",
              "   'CCL5',\n",
              "   'IFNA7',\n",
              "   'TBK1',\n",
              "   'POLR3D',\n",
              "   'POLR3G',\n",
              "   'IRF7',\n",
              "   'CXCL10',\n",
              "   'ADAR',\n",
              "   'POLR3C'],\n",
              "  'all_pyruvate_metabolism': ['AGXT2',\n",
              "   'GPT',\n",
              "   'AGXT',\n",
              "   'HAO1',\n",
              "   'GPT2',\n",
              "   'SDS',\n",
              "   'HAO2',\n",
              "   'ETNPPL',\n",
              "   'GRHPR'],\n",
              "  'all_NAD_metabolism': ['QPRT',\n",
              "   'NMNAT1',\n",
              "   'NNMT',\n",
              "   'NMNAT2',\n",
              "   'CD38',\n",
              "   'NNT',\n",
              "   'NADK',\n",
              "   'NADSYN1',\n",
              "   'NMNAT3'],\n",
              "  'all_coagulation-factor_production': ['KLKB1',\n",
              "   'F12',\n",
              "   'FGA',\n",
              "   'SERPINA5',\n",
              "   'F2',\n",
              "   'F5',\n",
              "   'F13A1',\n",
              "   'FGB',\n",
              "   'F10',\n",
              "   'F7',\n",
              "   'SERPINE1',\n",
              "   'F9',\n",
              "   'F11',\n",
              "   'F3',\n",
              "   'SERPINF2',\n",
              "   'F8',\n",
              "   'KNG1',\n",
              "   'F13B',\n",
              "   'SERPINB2'],\n",
              "  'all_TCA-cycle': ['MDH2',\n",
              "   'MDH1',\n",
              "   'IDH3G',\n",
              "   'IDH1',\n",
              "   'ACO1',\n",
              "   'IDH3A',\n",
              "   'CS',\n",
              "   'SDHA',\n",
              "   'PDP1',\n",
              "   'ACO2',\n",
              "   'SDHB',\n",
              "   'PDHB',\n",
              "   'FH',\n",
              "   'OGDH',\n",
              "   'PDHX',\n",
              "   'IDH2',\n",
              "   'SUCLA2',\n",
              "   'PDHA2',\n",
              "   'SDHC',\n",
              "   'PDHA1',\n",
              "   'IDH3B'],\n",
              "  'all_ros_response': ['LAMTOR5',\n",
              "   'SRXN1',\n",
              "   'NDUFS2',\n",
              "   'SELENOS',\n",
              "   'GPX3',\n",
              "   'GLRX',\n",
              "   'FES',\n",
              "   'GCLC',\n",
              "   'ERCC2',\n",
              "   'SBNO2',\n",
              "   'NDUFB4',\n",
              "   'IPCEF1',\n",
              "   'PDLIM1',\n",
              "   'PTPA',\n",
              "   'GPX4',\n",
              "   'MSRA',\n",
              "   'GSR',\n",
              "   'PRDX2',\n",
              "   'TXNRD2',\n",
              "   'CAT',\n",
              "   'PRNP',\n",
              "   'MGST1',\n",
              "   'SOD1',\n",
              "   'NQO1',\n",
              "   'JUNB',\n",
              "   'PRDX4',\n",
              "   'PFKP',\n",
              "   'PRDX6',\n",
              "   'CDKN2D',\n",
              "   'LSP1',\n",
              "   'SCAF4',\n",
              "   'TXN',\n",
              "   'MPO',\n",
              "   'GCLM',\n",
              "   'TXNRD1',\n",
              "   'OXSR1',\n",
              "   'ABCC1',\n",
              "   'EGLN2',\n",
              "   'MBP',\n",
              "   'STK25',\n",
              "   'GLRX2',\n",
              "   'HHEX',\n",
              "   'SOD2',\n",
              "   'FTL',\n",
              "   'ATOX1',\n",
              "   'G6PD',\n",
              "   'HMOX2',\n",
              "   'NDUFA6',\n",
              "   'PRDX1'],\n",
              "  'all_transmembrane-transport-mitochondrial': ['SLC25A27',\n",
              "   'AQP8',\n",
              "   'SLC25A14',\n",
              "   'SLC25A3',\n",
              "   'MMAA',\n",
              "   'AQP9'],\n",
              "  'all_o-glycan_synthesis': ['GALNT9',\n",
              "   'B4GAT1',\n",
              "   'GALNT15',\n",
              "   'ST3GAL1',\n",
              "   'A4GNT',\n",
              "   'GALNT5',\n",
              "   'GALNT10',\n",
              "   'GALNT13',\n",
              "   'GCNT4',\n",
              "   'GALNT2',\n",
              "   'C1GALT1',\n",
              "   'GCNT3',\n",
              "   'GALNT11',\n",
              "   'GALNT6',\n",
              "   'GALNT12',\n",
              "   'GALNT14',\n",
              "   'UGDH',\n",
              "   'GALNT3',\n",
              "   'GALNT4',\n",
              "   'GALNT7',\n",
              "   'ST6GALNAC1',\n",
              "   'B3GNT6',\n",
              "   'GALNT1',\n",
              "   'GCNT1',\n",
              "   'GALNT8'],\n",
              "  'all_DNA_synthesis': ['DTYMK', 'SLC25A19', 'RRM2', 'NT5M', 'RRM1', 'TYMS'],\n",
              "  'all_glycerin-SER-THR_metabolism': ['AGXT',\n",
              "   'GNMT',\n",
              "   'SLC6A5',\n",
              "   'BHMT2',\n",
              "   'SLC7A10',\n",
              "   'SHMT1',\n",
              "   'GLDC',\n",
              "   'DMGDH',\n",
              "   'PHGDH',\n",
              "   'PSAT1',\n",
              "   'GCSH',\n",
              "   'GATM',\n",
              "   'CHDH',\n",
              "   'SLC36A1',\n",
              "   'SLC6A14',\n",
              "   'SLC6A12',\n",
              "   'PIPOX',\n",
              "   'SARDH',\n",
              "   'SLC1A5',\n",
              "   'SLC32A1',\n",
              "   'AOC3',\n",
              "   'SLC3A1',\n",
              "   'THNSL1',\n",
              "   'SDS',\n",
              "   'SLC38A5',\n",
              "   'SLC1A4',\n",
              "   'SLC7A9',\n",
              "   'DAO',\n",
              "   'SLC38A2',\n",
              "   'SLC6A9',\n",
              "   'BHMT',\n",
              "   'MAOB',\n",
              "   'DLD',\n",
              "   'SLC38A4',\n",
              "   'AGXT2',\n",
              "   'SLC7A8',\n",
              "   'ETNPPL',\n",
              "   'GCAT',\n",
              "   'SHMT2',\n",
              "   'CBS',\n",
              "   'SLC38A1',\n",
              "   'MAOA',\n",
              "   'PSPH'],\n",
              "  'all_carnitine-shuttle': ['CPT1A',\n",
              "   'CRAT',\n",
              "   'SLC22A4',\n",
              "   'CPT1B',\n",
              "   'CPT2',\n",
              "   'SLC25A20',\n",
              "   'CPT1C',\n",
              "   'SLC22A5'],\n",
              "  'all_ethanol_metabolism': ['ALDH3B2',\n",
              "   'ZADH2',\n",
              "   'ADH1B',\n",
              "   'ALDH3A1',\n",
              "   'ADH1C',\n",
              "   'ADH1A',\n",
              "   'ADH4',\n",
              "   'ALDH3B1',\n",
              "   'ALDH1A1',\n",
              "   'ALDH1B1',\n",
              "   'AOX1',\n",
              "   'ADH7'],\n",
              "  'all_TGFb_response': ['TGFBR2',\n",
              "   'SLC20A1',\n",
              "   'SMURF1',\n",
              "   'ID1',\n",
              "   'CTNNB1',\n",
              "   'SERPINE1',\n",
              "   'PARD6B',\n",
              "   'SMARCA4',\n",
              "   'CDK9',\n",
              "   'CDH1',\n",
              "   'TRAF6',\n",
              "   'FNTA',\n",
              "   'PARD6A',\n",
              "   'SMAD4',\n",
              "   'SMAD1',\n",
              "   'BMPR2',\n",
              "   'XIAP',\n",
              "   'MAP3K7',\n",
              "   'IFNGR2',\n",
              "   'SKIL',\n",
              "   'JUNB',\n",
              "   'SKI',\n",
              "   'TJP1',\n",
              "   'THBS1',\n",
              "   'RHOA',\n",
              "   'ACVR1',\n",
              "   'PPP1R15A',\n",
              "   'SMAD3',\n",
              "   'LTBP2',\n",
              "   'KLF10',\n",
              "   'ARID1B',\n",
              "   'FKBP1A',\n",
              "   'SMAD6',\n",
              "   'PARD6G',\n",
              "   'ENG',\n",
              "   'SMAD2',\n",
              "   'ID3',\n",
              "   'PPP1CA',\n",
              "   'CDKN1C',\n",
              "   'WWTR1',\n",
              "   'TGIF1',\n",
              "   'PMEPA1',\n",
              "   'HIPK2',\n",
              "   'SMAD7',\n",
              "   'CDKN2B',\n",
              "   'RAB31',\n",
              "   'APC',\n",
              "   'UBE2D3',\n",
              "   'PPM1A',\n",
              "   'HDAC1',\n",
              "   'BCAR3',\n",
              "   'BMPR1A',\n",
              "   'TGFBR1',\n",
              "   'ID2',\n",
              "   'SMURF2',\n",
              "   'TGFB1',\n",
              "   'LEFTY2',\n",
              "   'NOG',\n",
              "   'SMARCC1',\n",
              "   'FURIN',\n",
              "   'NCOR2',\n",
              "   'ARID4B',\n",
              "   'TRIM33',\n",
              "   'BMP2',\n",
              "   'SMARCC2',\n",
              "   'SPTBN1'],\n",
              "  'all_TLR_signaling': ['MAPK8',\n",
              "   'RELA',\n",
              "   'IKBKB',\n",
              "   'FOS',\n",
              "   'TNF',\n",
              "   'IFNAR2',\n",
              "   'IFNA14',\n",
              "   'NFKB1',\n",
              "   'TLR8',\n",
              "   'CXCL11',\n",
              "   'PIK3CA',\n",
              "   'TBK1',\n",
              "   'IFNAR1',\n",
              "   'MAP2K4',\n",
              "   'MAPK14',\n",
              "   'CCL3',\n",
              "   'CXCL10',\n",
              "   'PIK3CG',\n",
              "   'SPP1',\n",
              "   'MAPK9',\n",
              "   'MAP3K7',\n",
              "   'IRF5',\n",
              "   'IKBKG',\n",
              "   'IFNA2',\n",
              "   'IRF3',\n",
              "   'MAPK10',\n",
              "   'RNASE1',\n",
              "   'MAPK12',\n",
              "   'TLR5',\n",
              "   'IL12B',\n",
              "   'CCL4',\n",
              "   'MAP3K8',\n",
              "   'RAC1',\n",
              "   'MAP2K6',\n",
              "   'TLR9',\n",
              "   'STAT1',\n",
              "   'TLR7',\n",
              "   'CD80',\n",
              "   'TLR1',\n",
              "   'CXCL8',\n",
              "   'TLR6',\n",
              "   'LY96',\n",
              "   'TICAM2',\n",
              "   'TLR2',\n",
              "   'TICAM1',\n",
              "   'MAPK13',\n",
              "   'IFNA5',\n",
              "   'TAB1',\n",
              "   'TAB2',\n",
              "   'IL1B',\n",
              "   'IFNA6',\n",
              "   'IFNB1',\n",
              "   'MAP2K2',\n",
              "   'IFNA7',\n",
              "   'IFNA8',\n",
              "   'CD40',\n",
              "   'AKT3',\n",
              "   'PIK3CB',\n",
              "   'IRAK1',\n",
              "   'IL12A',\n",
              "   'IRF7',\n",
              "   'LBP',\n",
              "   'MAP2K3',\n",
              "   'PIK3R5',\n",
              "   'IKBKE',\n",
              "   'IFNA13',\n",
              "   'TRAF6',\n",
              "   'MYD88',\n",
              "   'IFNA1',\n",
              "   'TRAF3',\n",
              "   'PIK3R1',\n",
              "   'NFKBIA',\n",
              "   'AKT2',\n",
              "   'PIK3R3',\n",
              "   'CHUK',\n",
              "   'PIK3CD',\n",
              "   'IFNA17',\n",
              "   'IFNA16',\n",
              "   'IRAK4',\n",
              "   'JUN',\n",
              "   'PIK3R2',\n",
              "   'IFNA21',\n",
              "   'MAPK11',\n",
              "   'CASP8',\n",
              "   'AKT1',\n",
              "   'CD14',\n",
              "   'CCL5',\n",
              "   'MAP2K1',\n",
              "   'IL6',\n",
              "   'TIRAP',\n",
              "   'CTSK',\n",
              "   'CD86',\n",
              "   'TLR4',\n",
              "   'RIPK1',\n",
              "   'CXCL9',\n",
              "   'TOLLIP',\n",
              "   'IFNA10',\n",
              "   'FADD',\n",
              "   'MAPK3',\n",
              "   'MAPK1',\n",
              "   'IFNA4',\n",
              "   'TLR3',\n",
              "   'MAP2K7'],\n",
              "  'all_fatty-acid_synthesis': ['ELOVL1',\n",
              "   'HACD4',\n",
              "   'ACACA',\n",
              "   'ELOVL2',\n",
              "   'ELOVL6',\n",
              "   'FADS3',\n",
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              "   'ALOX5',\n",
              "   'ALOX12',\n",
              "   'SLCO2B1'],\n",
              "  'all_fatty-acid-beta-oxidation-mitochondrial': ['ACAD10',\n",
              "   'ACOT2',\n",
              "   'ETFDH',\n",
              "   'ETFB',\n",
              "   'ECHS1',\n",
              "   'HADHA',\n",
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              "   'ECI1',\n",
              "   'ADH1A',\n",
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              "   'HMGCR',\n",
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              "   'MTMR3',\n",
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              "   'PLOD1',\n",
              "   'GGPS1',\n",
              "   'PLOD3'],\n",
              "  'all_transmembrane-transport-cellmembrane': ['ATP2B4',\n",
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              "   'SLC34A2',\n",
              "   'SLC20A1',\n",
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              "   'ATP4B',\n",
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              "   'SLC13A4',\n",
              "   'SLC24A4',\n",
              "   'SLC4A1',\n",
              "   'SLC34A1',\n",
              "   'SLC12A3',\n",
              "   'ATP1B3',\n",
              "   'SLC15A2',\n",
              "   'SLC12A5',\n",
              "   'SLC26A7',\n",
              "   'SLC13A1',\n",
              "   'ATP1B4',\n",
              "   'SLC12A2',\n",
              "   'SLC24A2',\n",
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              "   'ATP2B3',\n",
              "   'SLC26A3',\n",
              "   'SLC26A6',\n",
              "   'SLC3A2',\n",
              "   'ATP1B1',\n",
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              "   'SLC24A1',\n",
              "   'SLC9A4',\n",
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              "   'ATP1B2',\n",
              "   'ATP4A',\n",
              "   'RHAG',\n",
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              "   'SLC8A3',\n",
              "   'SLC9A2',\n",
              "   'SLC20A2',\n",
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              "   'ATP1A2',\n",
              "   'SLC4A2',\n",
              "   'SLC12A6',\n",
              "   'SLC34A3',\n",
              "   'SLC9A3',\n",
              "   'SLC9A1',\n",
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              "   'SLC17A1',\n",
              "   'SLC24A3',\n",
              "   'ATP1A4',\n",
              "   'RHBG'],\n",
              "  'leuko_transendothelial-migration': ['ESAM',\n",
              "   'MYLPF',\n",
              "   'CTNNA2',\n",
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              "   'TXK',\n",
              "   'CLDN8',\n",
              "   'PTK2B',\n",
              "   'MMP9',\n",
              "   'PTPN11',\n",
              "   'CLDN9',\n",
              "   'BCAR1',\n",
              "   'RAPGEF3',\n",
              "   'CTNNA1',\n",
              "   'RNASE1',\n",
              "   'CTNNB1',\n",
              "   'CLDN10',\n",
              "   'RAPGEF4',\n",
              "   'PIK3CD',\n",
              "   'ITGA4',\n",
              "   'CYBB',\n",
              "   'CLDN5',\n",
              "   'VASP',\n",
              "   'GNAI1',\n",
              "   'NOX1',\n",
              "   'CLDN6',\n",
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              "   'NCF1',\n",
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              "   'RHOH',\n",
              "   'PLCG2',\n",
              "   'PECAM1',\n",
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              "   'CLDN2',\n",
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              "   'ITGAL',\n",
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              "   'PIK3R5',\n",
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              "   'CXCL12',\n",
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              "   'MYL12B',\n",
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              "   'CYBA',\n",
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              "   'ROCK2',\n",
              "   'PLCG1',\n",
              "   'CLDN22',\n",
              "   'CLDN16',\n",
              "   'VAV3',\n",
              "   'ACTN1',\n",
              "   'RHOA',\n",
              "   'PRKCA',\n",
              "   'CLDN4',\n",
              "   'PXN',\n",
              "   'RAP1B',\n",
              "   'ITGB1',\n",
              "   'ROCK1',\n",
              "   'CXCR4',\n",
              "   'EZR',\n",
              "   'MMP2',\n",
              "   'NCF4',\n",
              "   'RASSF5',\n",
              "   'ACTN2',\n",
              "   'GNAI2',\n",
              "   'MSN',\n",
              "   'PTK2',\n",
              "   'F11R',\n",
              "   'PIK3CA',\n",
              "   'CTNNA3',\n",
              "   'ACTB',\n",
              "   'CLDN14',\n",
              "   'PIK3CB',\n",
              "   'PIK3R2',\n",
              "   'MAPK11',\n",
              "   'MYL10',\n",
              "   'MAPK12',\n",
              "   'ITGB2',\n",
              "   'CLDN15',\n",
              "   'VCL',\n",
              "   'ITK',\n",
              "   'VAV2',\n",
              "   'RAP1A',\n",
              "   'CLDN1',\n",
              "   'SIPA1',\n",
              "   'ARHGAP5',\n",
              "   'ARHGAP35',\n",
              "   'AFDN',\n",
              "   'OCLN',\n",
              "   'CDC42',\n",
              "   'CLDN23'],\n",
              "  'leuko_ROS_production': ['GPX7',\n",
              "   'GPX8',\n",
              "   'GPX3',\n",
              "   'GPX5',\n",
              "   'SOD2',\n",
              "   'VCAN',\n",
              "   'GPX4',\n",
              "   'GPX1',\n",
              "   'GPX2',\n",
              "   'GPX6']}}"
            ]
          },
          "execution_count": 23,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "Spectra_dict"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": []
    }
  ],
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