{"id":"W4200277849","doi":"10.1080/15476286.2021.2015175","title":"Identification of HnRNPC as a novel Tau exon 10 splicing factor using RNA antisense purification mass spectrometry","year":2021,"lang":"en","type":"article","venue":"RNA Biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of Neurological Disorders and Stroke; Natural Sciences and Engineering Research Council of Canada; Tau Consortium; National Institute on Aging; National Institutes of Health; Canada Foundation for Innovation","keywords":"Exon; Biology; RNA splicing; Exon trapping; Minigene; Alternative splicing; Tauopathy; Intron; Exon skipping; RNA-binding protein; Polypyrimidine tract; Molecular biology; Gene knockdown; RNA; Splicing factor; RNA recognition motif; Cell biology; Genetics; Neurodegeneration; Gene; Medicine","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":[0.0001194275,0.0003691692,0.0001992793,0.0002472541,0.0001609672,0.0002033267,0.0001756516,0.0002973755,0.0004632724],"category_scores_gemma":[0.0001819293,0.0001146242,0.0002612314,0.0001421239,0.0001756737,0.00009727418,0.0001176445,0.0003013458,0.0003084072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002563635,"about_ca_system_score_gemma":0.000189224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128287,"about_ca_topic_score_gemma":0.00162107,"domain_scores_codex":[0.9999031,0.000009290139,0.000004746336,0.00003186502,0.00003753808,0.00001339999],"domain_scores_gemma":[0.9998935,0.00002192067,0.00004010078,0.000006337215,0.00002004424,0.00001812007],"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":[0.00001990949,0.000004831025,0.0002032481,0.00001549995,0.000004412833,0.00007886388,0.000006971527,0.00004268029,0.9987592,0.00003528905,0.00001531452,0.0008138727],"study_design_scores_gemma":[0.000008302746,0.000144602,0.007977529,0.000006028798,0.00003554775,0.001182144,0.00002655455,0.003496891,0.9839829,0.00008777509,0.003042379,0.000009282925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655852,0.001666576,0.03025059,0.0001700291,0.00003504462,0.00007276061,0.0005763083,0.0002321063,0.001411591],"genre_scores_gemma":[0.9347037,0.002274043,0.05614642,0.0002312207,0.0000370138,0.00007238206,0.001883527,0.00007998267,0.004571686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00128287,"threshold_uncertainty_score":0.002550781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02741532049242702,"score_gpt":0.3168558639492036,"score_spread":0.2894405434567766,"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."}}