{"id":"W2410092046","doi":"10.1016/j.stem.2016.05.004","title":"ADAR1 Activation Drives Leukemia Stem Cell Self-Renewal by Impairing Let-7 Biogenesis","year":2016,"lang":"en","type":"article","venue":"Cell stem cell","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":247,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"San Diego Foundation; National Institute of Allergy and Infectious Diseases; DOD Peer Reviewed Cancer Research Program; National Cancer Institute; National Heart, Lung, and Blood Institute; Genome Canada; Canadian Institutes of Health Research; National Institute of General Medical Sciences; Ontario Genomics Institute; Office of the Assistant Secretary for Health; California Institute for Regenerative Medicine","keywords":"Biology; Stem cell; RNA editing; Downregulation and upregulation; Myeloid leukemia; Cancer research; microRNA; Cell biology; Biogenesis; Mutagenesis; Molecular biology; RNA; Mutation; 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":[0.0002671533,0.0004462603,0.0003849664,0.0003943233,0.0002520254,0.0006913303,0.0005708383,0.0005475241,0.003375443],"category_scores_gemma":[0.0001548666,0.000336587,0.0004222015,0.0002120658,0.0006050293,0.0002739007,0.0003403695,0.001297928,0.001196952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005331259,"about_ca_system_score_gemma":0.0003045366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004466476,"about_ca_topic_score_gemma":0.0007362819,"domain_scores_codex":[0.9995669,0.00006507443,0.00005669493,0.0001265638,0.0001013179,0.00008354599],"domain_scores_gemma":[0.9997818,0.00004171364,0.00006952171,0.00003640775,0.00001226177,0.00005837968],"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":[0.0001174613,0.000027673,0.00009233866,0.00001945098,0.000007562875,0.00004909998,0.000009107172,0.00007828351,0.9985554,0.0003016351,0.00005936794,0.0006825132],"study_design_scores_gemma":[0.00001445001,0.0000919385,0.0005996962,0.000002030328,0.0000134331,0.0001741619,0.00001930231,0.000974638,0.9961774,0.00008087904,0.001847936,0.000004042598],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897411,0.001145437,0.004627979,0.0003201086,0.0001287902,0.00003814747,0.0007737943,0.0005682116,0.002656364],"genre_scores_gemma":[0.9951617,0.0002137221,0.00174482,0.00005624733,0.00001112312,0.00002081644,0.0003451745,0.00005782614,0.002388494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003375443,"threshold_uncertainty_score":0.01129198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005470811019140106,"score_gpt":0.1940023269094826,"score_spread":0.1885315158903425,"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."}}