{"id":"W3029644428","doi":"10.26508/lsa.202000725","title":"STAG1 vulnerabilities for exploiting cohesin synthetic lethality in STAG2-deficient cancers","year":2020,"lang":"en","type":"article","venue":"Life Science Alliance","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Novartis Pharma; Innovative Medicines Initiative; Austrian Science Fund; Ministero dello Sviluppo Economico; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ontario Ministry of Economic Development and Innovation; Wellcome Trust; Österreichische Forschungsförderungsgesellschaft; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; European Commission; Pfizer","keywords":"Synthetic lethality; Cohesin; Establishment of sister chromatid cohesion; Chromosome segregation; Mutant; Cell biology; Biology; Chromatid; Genetic screen; Genetics; Chromosome; Gene","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":[0.0001604182,0.0003630683,0.0002359015,0.000392559,0.000176422,0.0004116281,0.0002276468,0.0003129823,0.001730739],"category_scores_gemma":[0.0001120413,0.0001467741,0.0001993813,0.0002364609,0.0002165707,0.0001696464,0.0003090022,0.0005785545,0.0004016028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000306753,"about_ca_system_score_gemma":0.0002027776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004360639,"about_ca_topic_score_gemma":0.001548653,"domain_scores_codex":[0.9999156,0.00001610713,0.000007091236,0.00001413364,0.00003152453,0.00001569793],"domain_scores_gemma":[0.9999294,0.00001465548,0.00001668709,0.00001246004,0.000006620442,0.00002010107],"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":[0.00005340908,0.00002051307,0.0002252134,0.00002844589,0.000007925812,0.00005881232,0.000008207343,0.0001872066,0.9969856,0.000323719,0.00009618228,0.002004788],"study_design_scores_gemma":[0.00001800997,0.0003606122,0.00278493,0.000008756255,0.00002674186,0.0006133036,0.00002171153,0.001332568,0.9880634,0.0001439567,0.006618358,0.000007650578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816519,0.003815075,0.008464172,0.0003812737,0.00004830013,0.00009607938,0.001083849,0.0004519967,0.00400734],"genre_scores_gemma":[0.9926997,0.001712036,0.002732677,0.00008941195,0.000004814389,0.0000398251,0.0006039369,0.00003761141,0.002080074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001730739,"threshold_uncertainty_score":0.005789876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02889452044939626,"score_gpt":0.2740946032781756,"score_spread":0.2452000828287794,"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."}}