{"id":"W3124617246","doi":"10.1038/s41598-021-94027-5","title":"A new strategy to uncover fragile X proteomic biomarkers using the nascent proteome of peripheral blood mononuclear cells (PBMCs)","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Proteome; Fragile X syndrome; Peripheral blood mononuclear cell; Phenotype; Proteomics; Western blot; Biology; Penetrance; Computational biology; Bioinformatics; Medicine; Genetics; Gene; In vitro","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":[0.0003909768,0.0007247882,0.0004110058,0.0006904412,0.0002749075,0.0004702277,0.0002602529,0.0005352321,0.0006427602],"category_scores_gemma":[0.000430062,0.000190833,0.0003026711,0.0003221864,0.0003056577,0.0003597245,0.0004672948,0.0006661837,0.0004268576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474946,"about_ca_system_score_gemma":0.0002610041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002985451,"about_ca_topic_score_gemma":0.0005393863,"domain_scores_codex":[0.9997284,0.00005678467,0.00001628451,0.0001047594,0.00006311896,0.00003057309],"domain_scores_gemma":[0.9998298,0.00004194062,0.00003115797,0.00002387179,0.00003894241,0.00003430267],"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":[0.00005031665,0.0000137659,0.0003727305,0.00004705942,0.000009640273,0.00004717215,0.00001229148,0.00002534661,0.9968582,0.00006771847,0.00005160797,0.002444186],"study_design_scores_gemma":[0.000034511,0.0006634724,0.01527722,0.0000263291,0.00007964163,0.002081515,0.00008185054,0.00370049,0.9701695,0.0005880142,0.007266153,0.00003127672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8007956,0.009847586,0.181955,0.0009588422,0.000398547,0.00049127,0.002652951,0.0006564732,0.002243693],"genre_scores_gemma":[0.6771548,0.005867303,0.3081309,0.001061936,0.0001692118,0.0005494196,0.00344356,0.0001051347,0.00351783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007247882,"threshold_uncertainty_score":0.002150178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128186505005184,"score_gpt":0.2331898691514756,"score_spread":0.2219080041014238,"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."}}