{"id":"W1969107561","doi":"10.1101/gad.237628.114","title":"Anti-diabetic rosiglitazone remodels the adipocyte transcriptome by redistributing transcription to PPARγ-driven enhancers","year":2014,"lang":"en","type":"article","venue":"Genes & Development","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes","funders":"National Institutes of Health; National Institute of General Medical Sciences; JPB Foundation; National Institute of Diabetes and Digestive and Kidney Diseases; University of Pennsylvania","keywords":"Enhancer; Biology; Transcription factor; Transcription (linguistics); Peroxisome proliferator-activated receptor; Enhancer RNAs; Psychological repression; Nuclear receptor; Cell biology; Rosiglitazone; Transcriptome; Regulation of gene expression; Gene expression; Adipocyte; Receptor; Gene; Endocrinology; Genetics; Adipose tissue","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":[0.000114399,0.0002179069,0.0002519791,0.0001564777,0.000171533,0.0004442137,0.0001590691,0.0001397302,0.001449684],"category_scores_gemma":[0.00009203057,0.0001823789,0.0002677913,0.0001919,0.0001799527,0.0001491186,0.0001722124,0.0005212156,0.0005119594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002353121,"about_ca_system_score_gemma":0.0002110848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005193204,"about_ca_topic_score_gemma":0.001562517,"domain_scores_codex":[0.9998763,0.00000927652,0.000006009363,0.00005692858,0.00002881838,0.00002272795],"domain_scores_gemma":[0.9999285,0.00001102483,0.00001997672,0.00001419721,0.00001241637,0.0000138986],"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":[0.0001237841,0.00001186532,0.0004188634,0.00002340696,0.000004580852,0.00001332342,0.0000142295,0.0001022705,0.9967964,0.0001598006,0.00004999479,0.002281436],"study_design_scores_gemma":[0.00002307708,0.0001225113,0.0156295,0.00001444123,0.00003491467,0.00007475805,0.00009657071,0.001610075,0.9736204,0.0002749877,0.008489017,0.000009671435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778675,0.002479666,0.01450119,0.0002243344,0.0001057212,0.00002261968,0.001490856,0.0004015068,0.002906613],"genre_scores_gemma":[0.9816073,0.001959155,0.007701017,0.0002088624,0.00002563182,0.00003713766,0.001914179,0.0001898655,0.006356979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001449684,"threshold_uncertainty_score":0.004849672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007636993695587372,"score_gpt":0.2206832930482416,"score_spread":0.2130462993526542,"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."}}