{"id":"W4221049844","doi":"10.1016/j.redox.2022.102282","title":"PRMT5 regulates ATF4 transcript splicing and oxidative stress response","year":2022,"lang":"en","type":"article","venue":"Redox Biology","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Structural Genomics Consortium; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Takeda Canada; Genentech; Wellcome Trust; Canadian Institutes of Health Research; Innovative Medicines Initiative; Pfizer; Leukemia and Lymphoma Society of Canada; Genome Canada; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Janssen Pharmaceuticals; Merck KGaA; Boehringer Ingelheim; European Commission","keywords":"ATF4; Protein arginine methyltransferase 5; Oxidative stress; Cell biology; Biology; Transcription factor; Integrated stress response; Cancer research; Unfolded protein response; Chemistry; Methyltransferase; Gene; Biochemistry; Messenger RNA; Methylation; Translation (biology); Endoplasmic reticulum","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003127596,0.0001442083,0.0001566203,0.00007561208,0.0002030059,0.000009185463,0.0001308344,0.0001487751,0.00006758132],"category_scores_gemma":[0.00005378829,0.0001496957,0.00005812676,0.0001249918,0.0001368391,0.000003058046,0.0001562737,0.0001315916,0.000001953095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004746916,"about_ca_system_score_gemma":0.00007144734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004695203,"about_ca_topic_score_gemma":0.00003679322,"domain_scores_codex":[0.998687,0.0003679631,0.0001900855,0.0004423831,0.00006867755,0.0002438841],"domain_scores_gemma":[0.9995018,0.00003622586,0.00008958031,0.0002778226,0.00003791898,0.00005659816],"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":[0.001096378,0.00002653602,0.001318378,0.000006723627,0.00006287509,0.000001930915,0.0001776831,0.0005090993,0.992193,0.000167192,0.0005014654,0.003938779],"study_design_scores_gemma":[0.001127672,0.001500188,0.01227541,0.00001142487,0.00003844976,0.00011814,0.0004245807,0.0003472342,0.8572554,0.0004329347,0.1261204,0.0003481189],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953229,0.002928126,0.0003071596,0.000694791,0.0002265434,0.0002269651,0.0001163498,0.00002242095,0.0001547656],"genre_scores_gemma":[0.9978603,0.0001702877,0.0002227226,0.0001257736,0.0001335114,0.00005352362,0.0003401335,0.00002241995,0.0010713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1349376,"threshold_uncertainty_score":0.6104413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006921960062059923,"score_gpt":0.2464625003648057,"score_spread":0.2395405403027457,"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."}}