{"id":"W4402759664","doi":"10.12688/f1000research.133220.3","title":"The identification of high-performing antibodies for FUS (Uniprot ID: P35637)  for use in western blot, immunoprecipitation, immunofluorescence and flow cytometry","year":2024,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Ontario Genomics; Mitacs; ALS Society of Canada; Motor Neurone Disease Association; ALS Association","keywords":"Immunoprecipitation; Flow cytometry; Immunofluorescence; Western blot; Identification (biology); Antibody; Biology; Immunology; Biochemistry; Botany","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":[0.00243245,0.003027666,0.00146137,0.004003895,0.001791234,0.001413628,0.001501728,0.001664953,0.03670784],"category_scores_gemma":[0.00412995,0.001084021,0.001101994,0.002522109,0.0006246015,0.001262973,0.001428551,0.001965924,0.03755355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040693,"about_ca_system_score_gemma":0.0009693441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001146041,"about_ca_topic_score_gemma":0.002706856,"domain_scores_codex":[0.9978282,0.0003681509,0.0003813774,0.0004250772,0.0007434477,0.000253717],"domain_scores_gemma":[0.9980521,0.0004552458,0.000257338,0.0003352626,0.0007224033,0.000177576],"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":[0.0003385937,0.00008537696,0.00101979,0.001008168,0.00005826262,0.000336002,0.0001503336,0.0001666047,0.9364941,0.001304643,0.02846773,0.0305704],"study_design_scores_gemma":[0.0001312813,0.0002600835,0.01284673,0.0002639932,0.000150621,0.002827589,0.0001080008,0.00183408,0.7152372,0.001111279,0.2651446,0.00008459923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2267772,0.02090587,0.5402676,0.007557496,0.003044687,0.004114419,0.09326234,0.02604937,0.07802096],"genre_scores_gemma":[0.1137818,0.008863138,0.656858,0.001584408,0.0005688647,0.00483069,0.1597076,0.006222378,0.04758321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03670784,"threshold_uncertainty_score":0.1228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05863538052086094,"score_gpt":0.3738371257073795,"score_spread":0.3152017451865186,"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."}}