{"id":"W2519327113","doi":"10.1093/hmg/ddw303","title":"Targeting TEAD/YAP-transcription-dependent necrosis, TRIAD, ameliorates Huntington’s disease pathology","year":2016,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Research Committee for Ataxic Disease; Alberta Innovates; Foundation of Synapse and Neurocircuit Pathology; Ministry of Health, Labour and Welfare; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Institute of Molecular and Cell Biology; Tokyo Medical and Dental University; Core Research for Evolutional Science and Technology; Massachusetts General Hospital","keywords":"Biology; Necroptosis; Cell biology; Programmed cell death; Cancer research; Hippo signaling pathway; Transcription factor; Huntingtin; Necrosis; Endoplasmic reticulum; Huntingtin Protein; Signal transduction; Mutant; Apoptosis; Gene; Genetics","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":[0.0001128294,0.000331798,0.000369185,0.0002668931,0.000137851,0.0001974559,0.0001948901,0.0002362491,0.0007853145],"category_scores_gemma":[0.00005725449,0.0001075395,0.0001669878,0.00009382281,0.0002237575,0.0002795706,0.000159236,0.0005087553,0.0001387197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784085,"about_ca_system_score_gemma":0.0002017132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002889641,"about_ca_topic_score_gemma":0.0008751617,"domain_scores_codex":[0.9999372,0.000009099802,0.000008424341,0.00001475688,0.00001519188,0.00001534297],"domain_scores_gemma":[0.9999537,0.000003639962,0.0000153138,0.000004776033,0.000005291499,0.00001736603],"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":[0.0004272842,0.0001681858,0.0001691428,0.00008016432,0.00001789822,0.0000719641,0.0000246094,0.0001278324,0.994243,0.0001629091,0.0000927049,0.004414354],"study_design_scores_gemma":[0.0001631297,0.003191654,0.005030439,0.00002112711,0.00009830048,0.0005278239,0.00006741914,0.001778401,0.984786,0.0002536111,0.004073028,0.000009174762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962011,0.001258052,0.001546876,0.00009233442,0.00002726232,0.00002262058,0.0001247192,0.0001163893,0.0006104723],"genre_scores_gemma":[0.9946008,0.001478723,0.001434705,0.00003950924,0.000009916829,0.0000313602,0.0002989149,0.00001471371,0.002091251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007853145,"threshold_uncertainty_score":0.002627134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528746723983966,"score_gpt":0.2717831173686581,"score_spread":0.2464956501288185,"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."}}