{"id":"W4225394279","doi":"10.1016/j.celrep.2022.110582","title":"PRMT7 ablation stimulates anti-tumor immunity and sensitizes melanoma to immune checkpoint blockade","year":2022,"lang":"en","type":"article","venue":"Cell Reports","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; Institute for Research in Immunology and Cancer; McGill University; University of Toronto; Jewish General Hospital","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; Harvard Medical School; Canadian Institutes of Health Research; McGill University; National Institutes of Health; Fonds de Recherche du Québec - Santé; Foundation for the National Institutes of Health","keywords":"Cancer research; Biology; Immune checkpoint; Immune system; Melanoma; Immunity; Immunotherapy; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006746095,0.0002382458,0.0001829384,0.0001876383,0.00006830181,0.0001766198,0.0001126582,0.0001860909,0.001190936],"category_scores_gemma":[0.00005666374,0.00009303533,0.0001840101,0.00008112631,0.0001416161,0.0001321186,0.0001222094,0.0006091911,0.0003308582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001549552,"about_ca_system_score_gemma":0.0001248108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002300803,"about_ca_topic_score_gemma":0.0004868001,"domain_scores_codex":[0.9999144,0.00001133316,0.000006386632,0.00001488643,0.00002520096,0.00002783688],"domain_scores_gemma":[0.9999453,0.000007297912,0.0000142145,0.000008688216,0.000004504276,0.00001996505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005963151,0.00002339738,0.0001069285,0.00001363572,0.000002690573,0.00002417499,0.000003764807,0.00003096844,0.9987,0.00004547806,0.00002773739,0.0009614382],"study_design_scores_gemma":[0.00002032017,0.0006485482,0.003114169,0.000003511062,0.00001107238,0.0002401863,0.00001207237,0.0006054902,0.9930164,0.00004314591,0.002282922,0.000002212461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945469,0.001506894,0.001302297,0.0001082228,0.00003564597,0.0000281321,0.0001541986,0.0001159795,0.002201767],"genre_scores_gemma":[0.9966133,0.0005440667,0.0006043228,0.00003794285,0.000008975636,0.0000164671,0.0001855339,0.00001441182,0.00197491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001190936,"threshold_uncertainty_score":0.003984034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005213564612476492,"score_gpt":0.2155316075410462,"score_spread":0.2103180429285697,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}