{"id":"W2619358118","doi":"10.1016/j.celrep.2017.05.012","title":"2-HG Inhibits Necroptosis by Stimulating DNMT1-Dependent Hypermethylation of the RIP3 Promoter","year":2017,"lang":"en","type":"article","venue":"Cell Reports","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research","funders":"Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences; Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Necroptosis; DNMT1; DNA methylation; Chemistry; Cancer research; Cell biology; Biology; Apoptosis; Biochemistry; Programmed cell death; Gene expression; Gene","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":[0.00009613623,0.0003139793,0.0002098715,0.0001842738,0.00008552011,0.0001539536,0.0001382773,0.000156472,0.001265731],"category_scores_gemma":[0.00007635981,0.00009707818,0.0001954725,0.0001022301,0.0001755406,0.0001222333,0.0001778036,0.0004488383,0.0002158342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233631,"about_ca_system_score_gemma":0.0001822005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005860159,"about_ca_topic_score_gemma":0.001538937,"domain_scores_codex":[0.9999149,0.00001914972,0.000008600018,0.00001635348,0.00001747139,0.00002351277],"domain_scores_gemma":[0.9999434,0.00001075144,0.00001789055,0.000008571008,0.000004426998,0.00001495202],"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":[0.000073145,0.00002110125,0.000104238,0.00001885582,0.000004151624,0.00001393159,0.000005129339,0.00002874656,0.9991523,0.00001785858,0.00002248619,0.0005380987],"study_design_scores_gemma":[0.0000142137,0.0002296683,0.001960925,0.000001839908,0.00000621785,0.00006895589,0.00000725252,0.0002632349,0.9967346,0.00001326052,0.0006983623,0.000001503832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949028,0.001652795,0.001720666,0.00008857087,0.00003223022,0.00003040431,0.0003569226,0.0001291671,0.001086398],"genre_scores_gemma":[0.9953206,0.0008137848,0.001656252,0.00004672141,0.00001112013,0.00002881732,0.0005689104,0.00001990607,0.001533756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001265731,"threshold_uncertainty_score":0.004234314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400006547197477,"score_gpt":0.2548107159462633,"score_spread":0.2408106504742885,"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."}}