{"id":"W3023775962","doi":"10.1016/j.immuni.2020.04.001","title":"Niche-Specific Reprogramming of Epigenetic Landscapes Drives Myeloid Cell Diversity in Nonalcoholic Steatohepatitis","year":2020,"lang":"en","type":"article","venue":"Immunity","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":428,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; University of California, San Diego; National Cancer Institute; National Institutes of Health; National Heart, Lung, and Blood Institute; Manpei Suzuki Diabetes Foundation; National Institute of General Medical Sciences; American Heart Association; Israel National Road Safety Authority; National Institute of Allergy and Infectious Diseases; Division of Intramural Research, National Institute of Allergy and Infectious Diseases; Fondation Leducq","keywords":"Biology; Kupffer cell; Steatohepatitis; Epigenetics; Reprogramming; TREM2; Phenotype; Macrophage; Cell biology; Transcriptome; Cell; Immunology; Gene expression; Cancer research; Fatty liver; Gene; Genetics; Pathology; Inflammation; Microglia; Medicine; Disease","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":[0.0001175865,0.0000586791,0.0001179651,0.000124624,0.000104589,0.0002314354,0.00007597572,0.0001131611,0.001174527],"category_scores_gemma":[0.000157883,0.00007215264,0.0001000367,0.00007347963,0.0001695872,0.0001148498,0.000269984,0.0002455736,0.0001481662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001205729,"about_ca_system_score_gemma":0.00009337298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001636679,"about_ca_topic_score_gemma":0.0006146175,"domain_scores_codex":[0.9999163,0.00001905803,0.000003967513,0.00001610211,0.0000159242,0.00002863955],"domain_scores_gemma":[0.9999514,0.000007727241,0.00001276122,0.00000622019,0.00000598619,0.00001592063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005492519,0.00005694741,0.01162912,0.00006097243,0.00001854081,0.0002006228,0.0001182027,0.0002028464,0.9668624,0.001084537,0.0002655755,0.01895103],"study_design_scores_gemma":[0.0001152707,0.001719766,0.4472348,0.00006351907,0.0001071385,0.003257034,0.001397322,0.005837427,0.5175873,0.003634631,0.01901411,0.00003174408],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971156,0.000845483,0.0008084337,0.0000773363,0.00001233215,0.00000525951,0.00005647403,0.0000194565,0.001059686],"genre_scores_gemma":[0.9990531,0.0001872803,0.0002097297,0.00003102516,0.000006145827,0.000003561076,0.00003615994,0.000003405964,0.0004694794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001174527,"threshold_uncertainty_score":0.003929198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04008052906959009,"score_gpt":0.2547919469848446,"score_spread":0.2147114179152546,"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."}}