{"id":"W4382136349","doi":"10.12688/f1000research.133220.2","title":"The identification of high-performing antibodies for RNA-binding protein FUS for use in Western Blot, immunoprecipitation, and immunofluorescence","year":2023,"lang":"en","type":"preprint","venue":"F1000Research","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Genentech; Mitacs; Motor Neurone Disease Association; Government of Canada; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Bayer; ALS Society of Canada; Ontario Genomics; Genome Canada; Bristol-Myers Squibb; Pfizer; ALS Association","keywords":"Western blot; Immunoprecipitation; Immunofluorescence; Biology; Antibody; Nuclear localization sequence; RNA; Cytoplasm; Blot; Molecular biology; Cell biology; Virology; Immunology; Genetics; Gene","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":[0.002688527,0.0001702664,0.0002254286,0.000217452,0.0003240968,0.0002740172,0.0005671915,0.0002145712,5.952236e-7],"category_scores_gemma":[0.001933668,0.000142842,0.00008894305,0.0001272673,0.0002301084,0.00001624341,0.0007892816,0.0002988315,0.000001842319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004502993,"about_ca_system_score_gemma":0.0002307056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007639395,"about_ca_topic_score_gemma":0.0005752454,"domain_scores_codex":[0.997959,0.0001353346,0.0005676921,0.0005034609,0.0003375058,0.0004970299],"domain_scores_gemma":[0.998199,0.0004056604,0.0002039034,0.0005749029,0.0005645068,0.00005197885],"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":[0.000529511,0.00002395008,0.005469549,0.0005710691,0.00007491512,6.671732e-7,0.0001203258,0.00008449009,0.9874762,0.0001079655,0.0001927213,0.005348675],"study_design_scores_gemma":[0.0008502538,0.0003060017,0.02677867,0.000439478,0.00001176975,0.000001183914,0.0004056774,0.003563398,0.9660569,0.000930512,0.0004307298,0.0002254618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927384,0.0009492884,0.002615617,0.0003049786,0.0001305493,0.003013397,0.0002347673,0.00001098892,0.000002027439],"genre_scores_gemma":[0.9846075,0.002305341,0.001559371,0.000002659138,0.0001079868,0.00192317,0.0005573826,0.00006000097,0.008876623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0214193,"threshold_uncertainty_score":0.5824928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04906661279939174,"score_gpt":0.3529282098104531,"score_spread":0.3038615970110614,"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."}}