{"id":"W3214103524","doi":"10.1101/2022.06.11.494613","title":"A two-step <i>in vivo</i> CRISPR screen unveils pervasive RNA binding protein dependencies for leukemic stem cells and identifies ELAVL1 as a therapeutic target","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Princess Margaret Cancer Centre; McMaster University; University of Toronto; University Health Network","funders":"Allen Institute for Immunology; Canadian Institutes of Health Research; Ionis Pharmaceuticals","keywords":"Biology; Gene knockdown; Stem cell; Haematopoiesis; Progenitor cell; RNA-binding protein; Cell biology; Hematopoietic stem cell; RNA; CRISPR; microRNA; Cancer research; Computational biology; Genetics; Gene","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":[0.0001868048,0.0005097934,0.0004256046,0.0003544299,0.000175039,0.0004866403,0.0003306813,0.0003681575,0.002303327],"category_scores_gemma":[0.0001201355,0.0002167967,0.0003396011,0.0001939265,0.0002713499,0.0001214028,0.0003092041,0.0007840717,0.001161492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003929124,"about_ca_system_score_gemma":0.0002941688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007281815,"about_ca_topic_score_gemma":0.001717908,"domain_scores_codex":[0.999728,0.00002824636,0.00002806143,0.00007299775,0.0001010556,0.00004159659],"domain_scores_gemma":[0.9998571,0.00003342334,0.00004802809,0.00002155063,0.00001184277,0.00002806997],"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":[0.00002061865,0.00001224133,0.0001017442,0.00001380653,0.000003333116,0.00003171841,0.000004738425,0.0001030022,0.9986562,0.0000683148,0.00005559513,0.000928772],"study_design_scores_gemma":[0.000004929574,0.00008524054,0.001002358,0.000002627512,0.00001636521,0.000188032,0.00000914613,0.001081347,0.9952248,0.0000267833,0.002353575,0.00000461736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523239,0.0007197493,0.03492527,0.0002644665,0.00004682361,0.0001880668,0.004390302,0.001908437,0.00523301],"genre_scores_gemma":[0.9733124,0.00045689,0.01440006,0.0001722348,0.000007544403,0.0001009354,0.003587909,0.0003050788,0.007657063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002303327,"threshold_uncertainty_score":0.00770539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519478722415275,"score_gpt":0.2514661094426003,"score_spread":0.2362713222184476,"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."}}