{"id":"W4320920315","doi":"10.3390/cancers15041224","title":"In Situ Imaging of O-Linked β-N-Acetylglucosamine Using On-Tissue Hydrolysis and MALDI Mass Spectrometry","year":2023,"lang":"en","type":"article","venue":"Cancers","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Burnaby Hospital","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research; Welch Foundation; Cancer Prevention and Research Institute of Texas; National Science Foundation","keywords":"Chemistry; Glycoprotein; In situ; Glycosylation; Mass spectrometry; Biochemistry; Glycoproteomics; Mass spectrometry imaging; Biomarker; Hydrolysis; N-Acetylglucosamine; Tumor progression; Enzyme; Cell biology; Biology; Chromatography; Glycan","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":[0.0003817591,0.0008574201,0.0003068425,0.0004002805,0.0002748147,0.0005714496,0.000536809,0.0007795514,0.001882988],"category_scores_gemma":[0.0002993653,0.0002811849,0.0002666759,0.0003475454,0.0004291502,0.0005402147,0.0004349696,0.0007985899,0.0006560523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003013731,"about_ca_system_score_gemma":0.0002707759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008083628,"about_ca_topic_score_gemma":0.001197692,"domain_scores_codex":[0.9997991,0.00003021834,0.000007864303,0.00005299177,0.0000728391,0.0000370369],"domain_scores_gemma":[0.9997993,0.00005275157,0.00005406608,0.00002303166,0.00003778782,0.00003307323],"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":[0.00002057048,0.00001106103,0.00005681973,0.00001740217,0.000002082331,0.00002614586,0.000009786007,0.00003593322,0.9989747,0.00005253222,0.00002332224,0.0007696993],"study_design_scores_gemma":[0.000006636899,0.000112837,0.002176767,0.000005355578,0.000006791671,0.0003933469,0.00004715002,0.003580583,0.9922305,0.0001198944,0.001311051,0.000009142819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8156701,0.003293936,0.1692687,0.0006253109,0.0001561471,0.0002443264,0.001006697,0.0008591745,0.008875563],"genre_scores_gemma":[0.7798976,0.005339525,0.2020118,0.000486573,0.00009084933,0.0003647163,0.0009386394,0.0003225094,0.01054771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001882988,"threshold_uncertainty_score":0.006299257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662423737057216,"score_gpt":0.307644984711495,"score_spread":0.2910207473409229,"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."}}