{"id":"W4210502935","doi":"10.1101/2022.02.02.478789","title":"PRMT5 regulates ATF4 transcript splicing and oxidative stress response","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Structural Genomics Consortium; University of Toronto","funders":"Innovative Medicines Initiative; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Canadian Institutes of Health Research; Ontario Genomics; Genome Canada; Wellcome Trust; Genentech; Bayer; Pfizer","keywords":"ATF4; Protein arginine methyltransferase 5; Oxidative stress; Cell biology; Biology; Transcription factor; Integrated stress response; Unfolded protein response; Cancer research; Chemistry; Methyltransferase; Gene; Messenger RNA; Genetics; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001021844,0.000291239,0.0001350829,0.0002531708,0.0001818585,0.0002910494,0.0001722379,0.0002110305,0.001304355],"category_scores_gemma":[0.00009566856,0.0001006263,0.0002123315,0.0001598962,0.0001759642,0.0001781196,0.0001943964,0.0002833942,0.0003669513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004078638,"about_ca_system_score_gemma":0.0001304046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005894433,"about_ca_topic_score_gemma":0.0006753348,"domain_scores_codex":[0.9998884,0.00001397109,0.000007939403,0.00003289461,0.00002892907,0.00002772689],"domain_scores_gemma":[0.9999338,0.000005147686,0.00003164139,0.000005690572,0.000008851906,0.00001492134],"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":[0.00009871461,0.0000121701,0.0008485185,0.00002378804,0.000003584046,0.00003185284,0.000007867247,0.00005293446,0.9974927,0.0001009656,0.00005602837,0.001270934],"study_design_scores_gemma":[0.000009849629,0.0001107896,0.02483287,0.000007631862,0.00001287401,0.0002472682,0.00003355557,0.001292934,0.9712481,0.0001114863,0.002088832,0.000003782443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886907,0.003047538,0.00531338,0.0001710557,0.0000320923,0.00002060552,0.0009756322,0.0001394838,0.001609361],"genre_scores_gemma":[0.9953478,0.0005051062,0.001567359,0.00004869616,0.000006643277,0.000009793943,0.000822357,0.00001307458,0.001679167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001304355,"threshold_uncertainty_score":0.004363537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008767533330173983,"score_gpt":0.2217386007854591,"score_spread":0.2129710674552851,"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."}}