{"id":"W4228998256","doi":"10.1038/s41467-022-30181-2","title":"Regulation of A-to-I RNA editing and stop codon recoding to control selenoprotein expression during skeletal myogenesis","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Common Fund; National Institute of Neurological Disorders and Stroke; National Cancer Institute; National Center for Geriatrics and Gerontology; National Heart, Lung, and Blood Institute; National Institute of Mental Health; Japan Society for the Promotion of Science; NIH Office of the Director; National Human Genome Research Institute; University of Tokyo; Institute of Genetics; National Institutes of Health; Exploratory Research for Advanced Technology; National Institute on Drug Abuse; Ministry of Education, Culture, Sports, Science and Technology; Francis Crick Institute","keywords":"Myogenesis; RNA editing; Selenoprotein; Computational biology; Biology; RNA; Genetics; Bioinformatics; Gene; Biochemistry; Enzyme","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001725842,0.0002209748,0.0001997524,0.0001831791,0.0001710085,0.0003758311,0.0001883365,0.00020928,0.0006780127],"category_scores_gemma":[0.0001588396,0.0001551608,0.0001658657,0.00008972656,0.0002315747,0.0001907397,0.0002914637,0.0002808987,0.0004033992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003216947,"about_ca_system_score_gemma":0.000192753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005019976,"about_ca_topic_score_gemma":0.0007780322,"domain_scores_codex":[0.9998438,0.00002452523,0.00001219448,0.00006670819,0.00002703549,0.00002572856],"domain_scores_gemma":[0.9998198,0.00003865309,0.00004989398,0.00001292757,0.00003284539,0.00004574627],"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":[0.00004385541,0.000006396427,0.0002588732,0.0000100858,0.00000129867,0.00002044816,0.00001162176,0.00002294155,0.9987813,0.00007637702,0.00002067359,0.000746207],"study_design_scores_gemma":[0.00001351175,0.0001583311,0.01615357,0.000008835709,0.000008692339,0.0001180056,0.00006584537,0.00320721,0.9777206,0.0001129135,0.002424686,0.000007739513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870175,0.001952166,0.008433004,0.00008565505,0.0000485501,0.0000272845,0.0001801844,0.0001772397,0.002078395],"genre_scores_gemma":[0.9935573,0.000368497,0.002988379,0.00004610284,0.000009713168,0.00002562532,0.0001676238,0.00004240491,0.002794365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006780127,"threshold_uncertainty_score":0.002334118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845977242924696,"score_gpt":0.2803921541541727,"score_spread":0.2619323817249257,"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."}}