{"id":"W2574062068","doi":"10.1038/cddis.2016.455","title":"Curcumin represses mouse 3T3-L1 cell adipogenic differentiation via inhibiting miR-17-5p and stimulating the Wnt signalling pathway effector Tcf7l2","year":2017,"lang":"en","type":"article","venue":"Cell Death and Disease","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Diabetes Canada; University of Toronto; University Health Network","funders":"Banting and Best Diabetes Centre, University of Toronto","keywords":"Adipogenesis; Wnt signaling pathway; TCF7L2; Cell biology; Curcumin; Biology; Effector; Cellular differentiation; Adipose tissue; Adipocyte; microRNA; Signal transduction; Cancer research; Endocrinology; Biochemistry; 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":[0.0001100449,0.0003796392,0.0003134093,0.0004562335,0.0001543238,0.0002263852,0.0001369543,0.0002214704,0.00179788],"category_scores_gemma":[0.00007839654,0.0001768021,0.0004553891,0.000156962,0.0001939417,0.0001247428,0.0001792052,0.0005377508,0.0005808998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089384,"about_ca_system_score_gemma":0.0003145474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375779,"about_ca_topic_score_gemma":0.00272796,"domain_scores_codex":[0.9998815,0.00001877967,0.00001219951,0.00002096017,0.00003107939,0.00003541628],"domain_scores_gemma":[0.9999385,0.00001157899,0.00001546198,0.000008563532,0.00001105892,0.00001474836],"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":[0.0002806943,0.00005463231,0.0002036416,0.0000937496,0.0000141772,0.00005416861,0.00001625258,0.00003718976,0.9972413,0.00006351085,0.0001187972,0.001821987],"study_design_scores_gemma":[0.00004403229,0.0003486718,0.00572379,0.00001619629,0.0000430415,0.000171966,0.00003700176,0.0004644426,0.9872974,0.00006118178,0.005785525,0.000006707611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826163,0.006766138,0.003733911,0.0004104666,0.0001246427,0.00004835709,0.00134849,0.0003627223,0.004588988],"genre_scores_gemma":[0.986654,0.003580529,0.002053591,0.0001993284,0.00002254947,0.0001158498,0.0016979,0.0000776633,0.005598646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00179788,"threshold_uncertainty_score":0.006014526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017895805917227,"score_gpt":0.2280117057256616,"score_spread":0.2178327476664893,"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."}}