{"id":"W2546708985","doi":"10.18632/oncotarget.13048","title":"Targeting EZH1 and EZH2 contributes to the suppression of fibrosis-associated genes by miR-214-3p in cardiac myofibroblasts","year":2016,"lang":"en","type":"article","venue":"Oncotarget","topic":"Circular RNAs in diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Guangdong Provincial People's Hospital; National Natural Science Foundation of China; National Science Foundation","keywords":"Gene knockdown; Cardiac fibrosis; Fibrosis; Myofibroblast; microRNA; EZH2; Angiotensin II; Downregulation and upregulation; Cancer research; Peroxisome proliferator-activated receptor; Cell biology; Medicine; Receptor; Biology; Gene expression; Internal medicine; Gene; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002908638,0.0003093469,0.0004070877,0.000192343,0.0002414291,0.0003758495,0.0001752954,0.0003520034,0.001725136],"category_scores_gemma":[0.0002561444,0.0002350022,0.0003736994,0.000116304,0.0003551487,0.000214606,0.0004020527,0.0006035857,0.0007328049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002200125,"about_ca_system_score_gemma":0.0002677714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001822175,"about_ca_topic_score_gemma":0.0002978897,"domain_scores_codex":[0.9997999,0.00002804784,0.00001949367,0.00004649984,0.0000588517,0.00004714871],"domain_scores_gemma":[0.9998776,0.00001714623,0.00005104137,0.000009080656,0.00001372139,0.00003143968],"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":[0.00050685,0.00003805796,0.001547877,0.0001485738,0.00002650633,0.0003168324,0.00003648526,0.0001333545,0.9923987,0.0002406801,0.0002616832,0.004344524],"study_design_scores_gemma":[0.0001515956,0.0004506199,0.03420473,0.00002978539,0.0001163781,0.00191396,0.0001485685,0.003909254,0.9484684,0.0003797399,0.01020706,0.00001991616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798712,0.008874599,0.006795237,0.0005491244,0.0002022438,0.00005475442,0.0004858897,0.0002364034,0.002930632],"genre_scores_gemma":[0.9932774,0.001619681,0.001722801,0.0002357797,0.00003511659,0.00005042303,0.0003141307,0.00004149838,0.002703191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001725136,"threshold_uncertainty_score":0.00577116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003699780608109344,"score_gpt":0.2247795439437897,"score_spread":0.2210797633356804,"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."}}