{"id":"W4406781179","doi":"10.12688/f1000research.153244.3","title":"A guide to selecting high-performing antibodies for S1PR1 (UniProt ID: P21453) for use in western blot, immunoprecipitation, and immunofluorescence","year":2025,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Sphingolipid Metabolism and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute on Aging; Genentech; Government of Canada; Ontario Genomics Institute; Emory University; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Mitacs; Ontario Genomics; Genome Canada; Bristol-Myers Squibb; Bayer; Pfizer","keywords":"Immunoprecipitation; Western blot; Immunofluorescence; S1PR1; Antibody; UniProt; Biology; Blot; Sphingosine-1-phosphate; Computational biology; Sphingosine; Receptor; Immunology; Biochemistry; Cancer research; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004352531,0.004066418,0.003742589,0.006359577,0.002340531,0.002873984,0.006111865,0.003156832,0.1848817],"category_scores_gemma":[0.008635405,0.005474052,0.002071164,0.004392257,0.0009869622,0.002909314,0.002441039,0.005120672,0.2896979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694555,"about_ca_system_score_gemma":0.002432174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153855,"about_ca_topic_score_gemma":0.006091075,"domain_scores_codex":[0.9970275,0.0007039105,0.0005368532,0.0004233341,0.001009646,0.0002987403],"domain_scores_gemma":[0.9951134,0.001643517,0.0003403214,0.001102793,0.00135391,0.0004460337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005050934,0.0001162201,0.0004170259,0.002201925,0.0001039085,0.0004772115,0.0002009987,0.0004143945,0.1430313,0.003090499,0.7763721,0.07306926],"study_design_scores_gemma":[0.0002071509,0.00009479856,0.00172657,0.0003113814,0.00004964691,0.001434486,0.00005647362,0.0008528186,0.04993272,0.00273247,0.9425014,0.000100105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006832157,0.01152602,0.4318825,0.00752375,0.003036572,0.004062523,0.2732609,0.1771971,0.08467838],"genre_scores_gemma":[0.008088944,0.008196604,0.61856,0.003201057,0.0006370479,0.01048069,0.2373753,0.04785126,0.06560906],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1848817,"threshold_uncertainty_score":0.6184908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315280839567577,"score_gpt":0.3621934791448389,"score_spread":0.3306653951880812,"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."}}