{"id":"W2339875460","doi":"10.1016/j.jprot.2016.04.009","title":"A metabolic labeling approach for glycoproteomic analysis reveals altered glycoprotein expression upon GALNT3 knockdown in ovarian cancer cells","year":2016,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôtel-Dieu de Québec; Université Laval","funders":"National Cancer Institute; National Institutes of Health; Cancer Research Society; Burroughs Wellcome Fund; Howard Hughes Medical Institute","keywords":"Gene knockdown; Biology; Ovarian cancer; Glycoprotein; Glycosylation; Cancer research; Gene; Cancer; Biochemistry; Genetics","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":[0.0001403535,0.0003829523,0.0002552059,0.0001956799,0.0003323653,0.0003407419,0.0002149972,0.0002905567,0.0006550081],"category_scores_gemma":[0.00008175045,0.0002131152,0.0003570797,0.0003473536,0.0002180634,0.0002307323,0.0002470112,0.0007070485,0.0002804133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003224679,"about_ca_system_score_gemma":0.0002877585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001759806,"about_ca_topic_score_gemma":0.002901499,"domain_scores_codex":[0.9998736,0.00001405374,0.000009668594,0.00003043538,0.0000399334,0.00003228334],"domain_scores_gemma":[0.999954,0.000007014848,0.00001228493,0.000006960935,0.00001068799,0.000009082303],"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":[0.00003182426,0.000004040764,0.00005111427,0.00001034593,0.000002603301,0.00001447611,0.000007157048,0.0000155215,0.999512,0.00004141117,0.00001687239,0.0002926195],"study_design_scores_gemma":[0.000007377002,0.00004268701,0.003199731,0.000002621906,0.00001419583,0.0001338281,0.00001920145,0.0007561141,0.9938461,0.00003741391,0.001935672,0.00000502687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670001,0.0009787678,0.02687618,0.0003581148,0.0000718845,0.00009558288,0.002000954,0.0002087899,0.002409458],"genre_scores_gemma":[0.9508293,0.001772,0.03657336,0.0003156821,0.00001710237,0.0002352894,0.003982574,0.0001384181,0.006136293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001759806,"threshold_uncertainty_score":0.00349915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187001663572107,"score_gpt":0.2970086983332574,"score_spread":0.2783085319760467,"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."}}