{"id":"W2016916936","doi":"10.1073/pnas.1213021110","title":"ADAR1 promotes malignant progenitor reprogramming in chronic myeloid leukemia","year":2012,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":191,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Canada's Michael Smith Genome Sciences Centre; University of British Columbia; BC Cancer Agency","funders":"China Scholarship Council; Ontario Genomics Institute; National Cancer Institute; Government of Canada; Canadian Institutes of Health Research; National Institute of General Medical Sciences; Canada's Michael Smith Genome Sciences Centre; Ontario Genomics; Genome Canada; BC Cancer Agency; California Institute for Regenerative Medicine; Howard Hughes Medical Institute","keywords":"Biology; Reprogramming; Myeloid leukemia; RNA editing; Progenitor cell; Cancer research; Stem cell; Small hairpin RNA; Gene knockdown; ADAR; Myeloid; Molecular biology; Cell biology; RNA; 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":[0.0001287117,0.0001278135,0.0001361825,0.0001306929,0.00009977502,0.0002075878,0.00007249182,0.0001230155,0.0007821281],"category_scores_gemma":[0.00005540238,0.00009010649,0.0001059599,0.00006970526,0.0001340169,0.00008520525,0.0001225916,0.0003294516,0.0002763167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000182119,"about_ca_system_score_gemma":0.0000962765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002055801,"about_ca_topic_score_gemma":0.0003726594,"domain_scores_codex":[0.9999409,0.0000103493,0.000005102346,0.00001508268,0.00001506683,0.00001353066],"domain_scores_gemma":[0.999962,0.000006502374,0.00001136076,0.000005147183,0.000003024297,0.00001201733],"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":[0.0000464814,0.00001494814,0.0002390984,0.00001248051,0.000001281541,0.00002373146,0.000008002492,0.000028014,0.9983727,0.0000617382,0.00002435101,0.001167083],"study_design_scores_gemma":[0.0000220673,0.0003857007,0.01490693,0.000005434922,0.00001249507,0.0004465738,0.00002900977,0.001135712,0.9794769,0.0001047698,0.003471391,0.000003092817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972674,0.0008012835,0.0008544498,0.00004351145,0.000007537052,0.000009423471,0.0001143352,0.00005004351,0.0008521911],"genre_scores_gemma":[0.9979671,0.0003350264,0.0005687212,0.00003249014,0.000004037509,0.000009237518,0.0001421738,0.000009141624,0.0009319536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007821281,"threshold_uncertainty_score":0.002616465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02734216066369983,"score_gpt":0.3005461130413331,"score_spread":0.2732039523776333,"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."}}