{"id":"W2980048538","doi":"10.1038/s41467-019-12518-6","title":"N6-methyladenosine mRNA marking promotes selective translation of regulons required for human erythropoiesis","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"DOD Prostate Cancer Research Program; Fred Hutchinson Cancer Research Center; Bristol-Myers Squibb; American Cancer Society; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services; Burroughs Wellcome Fund; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; U.S. Department of Defense","keywords":"Erythropoiesis; Biology; Methyltransferase; Gene; Translation (biology); Messenger RNA; H3K4me3; Histone; Gene expression; Genetics; Cell biology; Molecular biology; Methylation; Promoter","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000106607,0.0001269813,0.0001201862,0.0001453889,0.0001088227,0.000186424,0.00007121899,0.0001099907,0.001384311],"category_scores_gemma":[0.0001410779,0.0001034705,0.00009849045,0.00007520882,0.0001420729,0.00004808893,0.0001551931,0.0002081592,0.0003819466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001926459,"about_ca_system_score_gemma":0.0001424822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004845312,"about_ca_topic_score_gemma":0.001149468,"domain_scores_codex":[0.999916,0.00001275985,0.000006344862,0.00002326494,0.0000246388,0.00001704791],"domain_scores_gemma":[0.9998673,0.00004224943,0.00003165302,0.0000142859,0.00001189265,0.00003247338],"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":[0.00004187331,0.000005490163,0.0001802566,0.000004614476,9.233883e-7,0.00001521919,0.00000239684,0.00002302585,0.9993099,0.0000210149,0.00001619078,0.0003790186],"study_design_scores_gemma":[0.000007385771,0.0001570823,0.006737587,0.000001787626,0.000004043191,0.0001413686,0.000009129922,0.0005287863,0.991551,0.00002975461,0.0008298852,0.000002198371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965442,0.0003067737,0.001670725,0.00004455673,0.00001052184,0.00001172188,0.000321185,0.0001020334,0.0009882879],"genre_scores_gemma":[0.9969652,0.0001067184,0.001526059,0.00002898388,0.00000451857,0.000007324954,0.0003443778,0.00002385409,0.0009929134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001384311,"threshold_uncertainty_score":0.004630983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441225145964852,"score_gpt":0.3232691098466526,"score_spread":0.2988568583870041,"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."}}