{"id":"W2148253741","doi":"10.1093/hmg/ddr021","title":"TAR DNA-binding protein 43 (TDP-43) regulates stress granule dynamics via differential regulation of G3BP and TIA-1","year":2011,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":395,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Université de Montréal","keywords":"Stress granule; Biology; RNA splicing; Cell biology; Messenger RNA; RNA-binding protein; Heterogeneous nuclear ribonucleoprotein; Cellular stress response; Heterogeneous ribonucleoprotein particle; Ribonucleoprotein; RNA; Translation (biology); Molecular biology; Biochemistry; Gene; Fight-or-flight response","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":[0.00006602715,0.0002025483,0.0001787547,0.0001397997,0.0001474958,0.0002635721,0.0001417552,0.0002344152,0.000602322],"category_scores_gemma":[0.00008378206,0.0001175059,0.0002324476,0.0001026641,0.0002249112,0.0001671399,0.0002467327,0.0003108905,0.0002324861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003173644,"about_ca_system_score_gemma":0.0001380084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007624839,"about_ca_topic_score_gemma":0.0007119407,"domain_scores_codex":[0.9999232,0.00001136366,0.000005140042,0.00002322696,0.00001274428,0.00002429975],"domain_scores_gemma":[0.9999334,0.000005777218,0.00002094947,0.000005842732,0.000007612674,0.00002636231],"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":[0.0001213851,0.000006598281,0.0002340723,0.00001511781,0.000002693609,0.00004563264,0.00001461728,0.00003139763,0.9990126,0.00006238968,0.00003165218,0.0004217891],"study_design_scores_gemma":[0.00003672718,0.0001660547,0.04989587,0.000009209831,0.00003124715,0.0003324113,0.00009789981,0.002941171,0.9431713,0.0002788989,0.003031323,0.00000783254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965222,0.001008042,0.001442448,0.0001014987,0.00002305001,0.000009008369,0.0002106593,0.00009868103,0.000584471],"genre_scores_gemma":[0.9980868,0.0003178071,0.0005225681,0.00003178615,0.000003449846,0.000012147,0.0001210401,0.00001524636,0.0008892228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007624839,"threshold_uncertainty_score":0.002302647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234506988317923,"score_gpt":0.2390437098444369,"score_spread":0.2266986399612577,"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."}}