{"id":"W4310960666","doi":"10.1093/nar/gkac1130","title":"The transcription factor c-Jun inhibits RBM39 to reprogram pre-mRNA splicing during genotoxic stress","year":2022,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Belgian Federal Science Policy Office; Fonds Léon Fredericq; Université de Liège; Fonds De La Recherche Scientifique - FNRS; Fondation contre le Cancer; University College London","keywords":"Biology; RNA splicing; Alternative splicing; Cisplatin; Exon; Splicing factor; Transcription factor; Transcriptome; Cell biology; Genetics; Gene; Gene expression; Molecular biology; RNA","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":[0.0001447318,0.0003362949,0.000256847,0.0001671866,0.0001696094,0.0002229066,0.0003042061,0.0002527582,0.001211865],"category_scores_gemma":[0.0001446228,0.0001515337,0.0002661356,0.0001741432,0.0002257101,0.0001196407,0.0001969627,0.0005359097,0.0004617183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466817,"about_ca_system_score_gemma":0.0001911408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003241978,"about_ca_topic_score_gemma":0.0006463169,"domain_scores_codex":[0.9998318,0.00002001569,0.00001361896,0.0000455567,0.00005818988,0.00003080155],"domain_scores_gemma":[0.9998968,0.00001994595,0.00003374903,0.00001847331,0.000009011899,0.00002200402],"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":[0.00005578797,0.00001337811,0.00008983073,0.00001769079,0.000003768761,0.00002437879,0.000004063364,0.00004252081,0.9990855,0.0000296429,0.00001608714,0.0006174026],"study_design_scores_gemma":[0.00001037514,0.0001291155,0.004879038,0.000003888704,0.000008909563,0.0002156972,0.00001068978,0.0009268429,0.9919343,0.00003817196,0.001840327,0.000002645816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913974,0.002879607,0.003873321,0.000128141,0.00005376764,0.00002598868,0.0003963298,0.0000853964,0.001160094],"genre_scores_gemma":[0.9947949,0.0007769992,0.001842202,0.00007443991,0.000009768462,0.00003174671,0.0006239153,0.00003457713,0.001811488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001211865,"threshold_uncertainty_score":0.00405407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03000720570950962,"score_gpt":0.3345198934636184,"score_spread":0.3045126877541088,"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."}}