{"id":"W4391729397","doi":"10.1101/2024.02.02.578545","title":"ATP Citrate Lyase Drives Vascular Remodeling Diseases Development Through Metabolic-Epigenetic Reprograming","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval","keywords":"ATP citrate lyase; Cancer research; Glycolysis; Biology; Medicine; Cell biology; Biochemistry; Citrate synthase; Enzyme","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":[0.0002071818,0.0002416377,0.0002725657,0.000250648,0.000180372,0.0004972114,0.0002005357,0.0003920629,0.001960227],"category_scores_gemma":[0.0001511506,0.0001307739,0.0003154273,0.0001293788,0.0003634866,0.0002137328,0.0003883281,0.000581352,0.0002981107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836234,"about_ca_system_score_gemma":0.0002864349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004045929,"about_ca_topic_score_gemma":0.0006068595,"domain_scores_codex":[0.9998214,0.00002956489,0.00001313723,0.00005959152,0.0000376104,0.000038689],"domain_scores_gemma":[0.9998604,0.00001440023,0.00005155765,0.00001746406,0.00001953201,0.0000365745],"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":[0.0002697776,0.00004468295,0.00158456,0.00009830048,0.00002261385,0.0002735578,0.00003344362,0.00008696374,0.9919429,0.0008074665,0.0002115664,0.004624238],"study_design_scores_gemma":[0.00007333531,0.001032169,0.04533613,0.00006598343,0.0001279166,0.002073698,0.000279543,0.003237785,0.9267944,0.00168532,0.01926397,0.00002971079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589469,0.01257502,0.02082061,0.001320796,0.0002828081,0.00006997662,0.0008898057,0.0004913739,0.004602661],"genre_scores_gemma":[0.9933729,0.002056786,0.001723354,0.0001938983,0.00003124242,0.00003518551,0.0002512556,0.00001799123,0.002317327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001960227,"threshold_uncertainty_score":0.006557584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126407348519952,"score_gpt":0.2354140074589651,"score_spread":0.2227732726069699,"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."}}