{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000234128,0.0002792706,0.0003437167,0.0001205748,0.0001718953,0.0004431162,0.0002697164,0.0003487683,0.000689258],"category_scores_gemma":[0.0001816493,0.0001096058,0.0002572979,0.0001110711,0.0003117147,0.0005221029,0.0005380587,0.0004351886,0.0001668246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003686851,"about_ca_system_score_gemma":0.0002060443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003317334,"about_ca_topic_score_gemma":0.00052567,"domain_scores_codex":[0.9998042,0.00004662397,0.00001758328,0.00004646612,0.00005128979,0.00003385286],"domain_scores_gemma":[0.9997991,0.00004162455,0.00006102865,0.00002973244,0.00002452649,0.00004406154],"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":[0.0000742085,0.000004213007,0.00009221411,0.00001380363,0.000002178332,0.00003320288,0.000005819736,0.00002661552,0.9992,0.00006382055,0.00001224786,0.0004716464],"study_design_scores_gemma":[0.000007306582,0.0001393566,0.002909811,0.000004144499,0.000005845538,0.0002094941,0.00002191238,0.0008210939,0.9948308,0.00008284627,0.0009619502,0.000005491485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987578,0.00244968,0.007736536,0.0002641675,0.00003978024,0.0000271779,0.0001823678,0.0001804947,0.001541819],"genre_scores_gemma":[0.995821,0.0005556073,0.002439605,0.0001067431,0.00000932355,0.00001722354,0.0001653892,0.00002028039,0.0008647614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000689258,"threshold_uncertainty_score":0.002674997,"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."}}