{"id":"W2899466270","doi":"10.1016/j.molcel.2018.10.008","title":"Genome-wide CRISPR-Cas9 Interrogation of Splicing Networks Reveals a Mechanism for Recognition of Autism-Misregulated Neuronal Microexons","year":2018,"lang":"en","type":"article","venue":"Molecular Cell","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":140,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Human Frontier Science Program; Ontario Institute for Regenerative Medicine; EMBO; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Simons Foundation","keywords":"Biology; RNA splicing; Spliceosome; Alternative splicing; CRISPR; Enhancer; Genetics; Computational biology; Mechanism (biology); Gene; RNA; Gene expression; Exon","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":[0.000284178,0.0003410939,0.0002771666,0.0002835955,0.0002961403,0.0007571522,0.0004571645,0.0005617327,0.001627145],"category_scores_gemma":[0.0004386454,0.0002424242,0.0003771934,0.0001225834,0.0004428189,0.0003772223,0.000465968,0.0008515255,0.0004650078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005218559,"about_ca_system_score_gemma":0.0002592855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006220505,"about_ca_topic_score_gemma":0.001989085,"domain_scores_codex":[0.9996846,0.00002523347,0.00002085954,0.0001222829,0.0001044374,0.0000426831],"domain_scores_gemma":[0.9997661,0.00005713262,0.00007030543,0.00004462833,0.0000236195,0.00003832229],"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":[0.00004213451,0.000009307131,0.0004737238,0.00001159629,0.000007074634,0.00007944964,0.00001318151,0.0002585333,0.9964802,0.0005758234,0.00005938406,0.00198952],"study_design_scores_gemma":[0.000006931265,0.00004242345,0.00437947,0.000003310219,0.00001114936,0.0003134444,0.00003472656,0.005249707,0.9879857,0.0005925647,0.001372054,0.000008507027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9457759,0.0005923807,0.04828979,0.0004226593,0.0000935756,0.00003275181,0.0004538156,0.0007499142,0.003589233],"genre_scores_gemma":[0.9871908,0.000154813,0.01043773,0.0001011817,0.000007411206,0.00001451719,0.0002315196,0.00005842366,0.00180361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001627145,"threshold_uncertainty_score":0.005443335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131812167281121,"score_gpt":0.2524500561512931,"score_spread":0.239268839423181,"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."}}