{"id":"W2953541228","doi":"10.1038/s41467-019-10681-4","title":"An ErbB2/c-Src axis links bioenergetics with PRC2 translation to drive epigenetic reprogramming and mammary tumorigenesis","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Congressionally Directed Medical Research Programs; National Institute of Diabetes and Digestive and Kidney Diseases; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Terry Fox Research Institute; National Breast Cancer Foundation; Canada Research Chairs; National Cancer Institute; Vetenskapsrådet; Government of Canada; Stand Up To Cancer; McGill University; U.S. Department of Defense","keywords":"PRC2; EZH2; Carcinogenesis; Biology; Epigenetics; Cell biology; Cancer research; Histone methyltransferase; Cancer; 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":[0.0001657607,0.000292603,0.0001518946,0.0001626523,0.0001722446,0.0002813071,0.0001437127,0.0001724345,0.001262564],"category_scores_gemma":[0.00008844551,0.00009900213,0.0001737529,0.0001411674,0.0002548011,0.0001968733,0.000351518,0.0003021576,0.0001905737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004013393,"about_ca_system_score_gemma":0.0003263841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005922223,"about_ca_topic_score_gemma":0.001671969,"domain_scores_codex":[0.9998751,0.00001652041,0.000007786241,0.00002992011,0.00004363104,0.00002712632],"domain_scores_gemma":[0.9999449,0.000005511583,0.00001750126,0.000009433178,0.000007767799,0.00001489481],"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":[0.0001184852,0.00001212766,0.0007919705,0.00005562529,0.000008899325,0.00008388946,0.00001177398,0.0001494927,0.9944162,0.0006832517,0.00008473969,0.003583437],"study_design_scores_gemma":[0.00001482635,0.0001821816,0.01917358,0.000006863364,0.00002524865,0.0006705295,0.0000347373,0.001398661,0.9723939,0.0003255172,0.005766597,0.000007224849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790636,0.006676645,0.007740813,0.0006048721,0.00007194788,0.00002580791,0.0006068453,0.000172716,0.005036752],"genre_scores_gemma":[0.9953916,0.001550957,0.001122575,0.00004202398,0.00001214532,0.000009475667,0.0001722416,0.000008517782,0.001690605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001262564,"threshold_uncertainty_score":0.004223764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138824885036575,"score_gpt":0.2853307289953961,"score_spread":0.2739424801450303,"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."}}