{"id":"W2884146924","doi":"10.1016/j.devcel.2018.06.012","title":"Nrf2-Mediated Fibroblast Reprogramming Drives Cellular Senescence by Targeting the Matrisome","year":2018,"lang":"en","type":"article","venue":"Developmental Cell","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":166,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Université de Lausanne; Krebsliga Schweiz; Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Johns Hopkins University; Wilhelm Sander-Stiftung; Banting Research Foundation; University of Wisconsin-Madison","keywords":"Biology; Cell biology; Reprogramming; Senescence; Carcinogenesis; Fibroblast; Chromatin immunoprecipitation; Activator (genetics); Transcription factor; Cancer cell; Cancer research; Gene expression; Cancer; Cell; Genetics; Gene; Cell culture; Promoter","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000196259,0.0002690866,0.0001922173,0.0002603765,0.0001862911,0.0004017915,0.0002080876,0.0002909071,0.003071099],"category_scores_gemma":[0.00008652703,0.0001397733,0.000291028,0.0001212408,0.0002022322,0.0003175103,0.0002326666,0.0004900666,0.0006836668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003051787,"about_ca_system_score_gemma":0.0002204831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003403566,"about_ca_topic_score_gemma":0.001017756,"domain_scores_codex":[0.9998902,0.00001365678,0.000008000954,0.00003507327,0.0000305391,0.00002258929],"domain_scores_gemma":[0.999896,0.00001282116,0.00002853722,0.00001669426,0.00001499327,0.00003093102],"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":[0.00006113779,0.000007602211,0.00005240995,0.00001320914,0.000002513888,0.00002051304,0.000006432376,0.00001523215,0.9989848,0.0001613484,0.00002631428,0.0006485714],"study_design_scores_gemma":[0.00001329478,0.000077484,0.001874601,0.000003982842,0.00001087364,0.000141032,0.00002276064,0.0003673697,0.9926086,0.0001056433,0.004770329,0.000004025378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755222,0.002243151,0.01154711,0.0005500045,0.000126818,0.00005935026,0.001532117,0.0003565392,0.008062604],"genre_scores_gemma":[0.9835989,0.0008403363,0.003493202,0.0001264635,0.00001988948,0.00002977138,0.0005842797,0.0000655922,0.01124144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003071099,"threshold_uncertainty_score":0.01027387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004722509907984806,"score_gpt":0.1996562580327708,"score_spread":0.194933748124786,"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."}}