{"id":"W3006291327","doi":"10.1038/s41467-020-14581-w","title":"Quantitative SUMO proteomics identifies PIAS1 substrates involved in cell migration and motility","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec; Institute for Research in Immunology and Cancer","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Fonds de Recherche du Québec - Santé; Genome Canada","keywords":"SUMO protein; Motility; Cell biology; HEK 293 cells; Ubiquitin ligase; Intermediate Filament Protein; Proteomics; Vimentin; Mutant; Biology; DNA ligase; Chemistry; Cytoskeleton; Cell; Molecular biology; Intermediate filament; Cell culture; Ubiquitin; Biochemistry; Genetics; Gene; Immunology","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":[0.0001567833,0.00009306401,0.00009234926,0.00002480239,0.00009645375,0.00003604044,0.0003280699,0.0002079392,0.000003151618],"category_scores_gemma":[0.0002337205,0.00009527623,0.00003027316,0.000129131,0.0001145257,0.000009351856,0.0001951526,0.0003702564,0.000004137613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000716804,"about_ca_system_score_gemma":0.0000463969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004589445,"about_ca_topic_score_gemma":0.003662586,"domain_scores_codex":[0.9993428,0.0001487156,0.0001597688,0.0001951072,0.00005650384,0.00009712519],"domain_scores_gemma":[0.999289,0.00004143747,0.0000665332,0.000462635,0.00008930581,0.00005107758],"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":[0.00004757298,0.00007255854,0.04277103,0.00003850663,0.00001058879,3.444105e-7,0.0008759334,0.000007314505,0.9543787,0.001290532,0.0004267446,0.00008016469],"study_design_scores_gemma":[0.0004154069,0.0001650505,0.04338066,0.00001707732,0.00001146003,8.415027e-7,0.001105243,0.001576569,0.9477592,0.0005277884,0.004868088,0.0001726548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870235,0.008318729,0.0001233801,0.003524218,0.00002051388,0.0003569183,0.00004718206,0.00001442266,0.0005710993],"genre_scores_gemma":[0.9909964,0.001328753,0.006815792,0.0003823721,0.00002104103,0.00005604891,0.0003669041,0.000009066891,0.00002366162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006989975,"threshold_uncertainty_score":0.3885252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815368168899085,"score_gpt":0.2955880916385708,"score_spread":0.2574344099495799,"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."}}