{"id":"W4291991121","doi":"10.1016/j.celrep.2022.111198","title":"Mitochondrial hyperfusion via metabolic sensing of regulatory amino acids","year":2022,"lang":"en","type":"article","venue":"Cell Reports","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Queen's University","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Fonds de recherche du Québec; Terry Fox Foundation; Queen's University; Middle East Fertility Society; Turun Yliopisto; Canada Foundation for Innovation; Tenovus; Cancer Research Society; University of Cambridge; Cancer Research UK; McGill University; California Institute of Technology","keywords":"Biochemistry; Amino acid; Citric acid cycle; Biology; Mitochondrion; mitochondrial fusion; Glutamine; Valine; Inosine; MFN1; Cell biology; Metabolism; Adenosine; Mitochondrial DNA","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001984899,0.0001252529,0.0001990969,0.00006530037,0.0001428708,0.000004998816,0.00007464793,0.0001064917,0.0003081863],"category_scores_gemma":[0.00005302389,0.0001319619,0.0001429469,0.0001037211,0.00005747235,0.000002069243,0.0002101329,0.0001211087,0.000003988526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001043564,"about_ca_system_score_gemma":0.00009225666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001950883,"about_ca_topic_score_gemma":0.00000311917,"domain_scores_codex":[0.9987202,0.0001389797,0.0003659488,0.0003912155,0.0002074356,0.0001762206],"domain_scores_gemma":[0.999024,0.000007923632,0.0002648818,0.0005683724,0.00006727064,0.00006751068],"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":[0.00009189602,0.00004811613,0.000700799,0.000007821406,0.0000121531,0.0001037219,0.00004814626,0.0001484604,0.9929591,0.000009727601,0.004193145,0.0016769],"study_design_scores_gemma":[0.0002423894,0.0001590602,0.0003959995,0.000001343882,0.00002630602,0.0007292396,0.00004264869,0.00002124625,0.7230756,0.00005202357,0.275135,0.0001191943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98729,0.0008853509,0.002343755,0.00002026406,0.003919758,0.0001828316,0.000005609706,0.00001607926,0.005336349],"genre_scores_gemma":[0.9913927,0.00003111869,0.001764647,0.0001753188,0.000573663,0.00000946967,0.0001352616,0.00002501639,0.005892837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2709418,"threshold_uncertainty_score":0.5381251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007803305253141793,"score_gpt":0.2126898490443825,"score_spread":0.2048865437912407,"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."}}