{"id":"W4402343609","doi":"10.1016/j.celrep.2024.114695","title":"Paraspeckle-independent co-transcriptional regulation of nuclear microRNA biogenesis by SFPQ","year":2024,"lang":"en","type":"article","venue":"Cell Reports","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; McGill University; Université de Montréal; Lunenfeld-Tanenbaum Research Institute; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Okayama University; Harvard University","keywords":"Drosha; RNA-binding protein; Biology; microRNA; Cell biology; Gene silencing; RNA splicing; Exosome; Splicing factor; Regulation of gene expression; RNA interference; RNA; Genetics; Gene; Microvesicles","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":[0.000126435,0.0002894485,0.0002201309,0.000132792,0.0001414484,0.0003362444,0.0001617846,0.0001677408,0.0011006],"category_scores_gemma":[0.0001614385,0.0001079315,0.0002434328,0.00008398051,0.0003240389,0.0002030367,0.0003746579,0.0003896854,0.0003921195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002389029,"about_ca_system_score_gemma":0.0002068122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005422207,"about_ca_topic_score_gemma":0.001029095,"domain_scores_codex":[0.9998386,0.00001900296,0.00001635782,0.00005399972,0.00004549158,0.0000264626],"domain_scores_gemma":[0.9998828,0.00002140891,0.00003637933,0.00001696227,0.00001590695,0.00002655714],"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":[0.00007090417,0.000005182666,0.0004081291,0.00002040144,0.000002558071,0.00005503658,0.000008589496,0.0000268383,0.9982677,0.0001228827,0.00002611585,0.0009857283],"study_design_scores_gemma":[0.00001764979,0.00007994243,0.01414292,0.000006932287,0.00001029205,0.0004606849,0.00004389772,0.00193558,0.9803903,0.000200608,0.002705233,0.000006088608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845209,0.003444226,0.009370016,0.0001862341,0.00004916277,0.00001509785,0.0005032112,0.0001332347,0.00177796],"genre_scores_gemma":[0.9958598,0.0005487934,0.001826765,0.00005196922,0.000005912515,0.000008503303,0.0003456455,0.00002156637,0.001331036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0011006,"threshold_uncertainty_score":0.003681898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00873314225370789,"score_gpt":0.2529605489563315,"score_spread":0.2442274067026236,"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."}}