{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006991943,0.0005478431,0.0004325643,0.0002099687,0.0002563413,0.0001256807,0.0004001474,0.0006387137,0.0000618865],"category_scores_gemma":[0.0001453221,0.000655942,0.0001608556,0.0002861374,0.0001706937,0.00001298906,0.0006387668,0.0005889472,0.000004164454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002211428,"about_ca_system_score_gemma":0.0005303236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005358269,"about_ca_topic_score_gemma":0.00001056217,"domain_scores_codex":[0.9970368,0.0003873597,0.0004658298,0.001305561,0.0003326068,0.000471908],"domain_scores_gemma":[0.9979172,0.00004075255,0.0003612094,0.001226951,0.0002472093,0.0002066206],"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":[0.0006401825,0.00006356566,0.00158577,0.0001619145,0.0002437117,0.00001226651,0.00002765761,0.001214354,0.9957013,0.00004643896,0.0002965293,0.000006305244],"study_design_scores_gemma":[0.0006399028,0.0002025134,0.06289734,0.0001789753,0.0001320337,7.127705e-8,0.00001452444,0.0002520448,0.9214915,0.000002327104,0.01345771,0.0007310364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917848,0.005088812,0.0006939911,0.0002841422,0.0007322651,0.0007823931,0.0005129809,0.0001141865,0.000006481781],"genre_scores_gemma":[0.9970607,0.0006929709,0.001267598,0.00009349174,0.0004309641,0.0002257788,0.000007669981,0.0001563499,0.00006453472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07420979,"threshold_uncertainty_score":0.9995892,"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."}}