{"id":"W3136190116","doi":"10.1016/j.mcpro.2021.100075","title":"Mapping Isoform Abundance and Interactome of the Endogenous TMPRSS2-ERG Fusion Protein by Orthogonal Immunoprecipitation–Mass Spectrometry Assays","year":2021,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; University of Calgary; University of Alberta","funders":"China Scholarship Council; Mitacs; National Natural Science Foundation of China; Prostate Cancer Canada","keywords":"Interactome; TMPRSS2; Fusion protein; Gene isoform; Prostate cancer; Erg; Molecular biology; Biology; Immunoprecipitation; Fusion gene; Computational biology; Chemistry; Cancer research; Gene; Cancer; Genetics; Biochemistry; Recombinant DNA; Medicine; Internal medicine","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":[0.0003720049,0.0002237234,0.0003362976,0.0001123274,0.0001658453,0.00005062173,0.0001683747,0.0001279593,0.00008317481],"category_scores_gemma":[0.0001523519,0.000169993,0.0001726671,0.0005200743,0.0001580716,0.00008300173,0.000203646,0.0003563286,0.000006987475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002049956,"about_ca_system_score_gemma":0.0003811136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002288843,"about_ca_topic_score_gemma":0.000001815782,"domain_scores_codex":[0.9981661,0.0001670992,0.0003677905,0.0003935408,0.000527998,0.0003774648],"domain_scores_gemma":[0.9989291,0.00003495396,0.0001746188,0.0004950156,0.0002558114,0.0001105067],"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":[0.0001949466,0.0001726234,0.001985102,0.0002755031,0.0001721117,0.000225096,0.0003808768,0.000004023803,0.9955767,0.0001334796,0.00001504063,0.0008644716],"study_design_scores_gemma":[0.001552784,0.0002192772,0.001490258,0.0003032689,0.00004514895,0.0001203845,0.0002058083,0.0002575416,0.9946465,0.000510061,0.0004862022,0.0001627418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789963,0.006900304,0.0108454,0.0007705624,0.00008884984,0.001590865,0.00004039528,0.0000236514,0.0007436374],"genre_scores_gemma":[0.9889717,0.0002833473,0.008812513,0.00008540492,0.00003557261,0.0001293257,0.0001492875,0.00004444084,0.001488381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009975393,"threshold_uncertainty_score":0.6932114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269222759565706,"score_gpt":0.2358349677718788,"score_spread":0.2231427401762217,"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."}}