<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kang T</submitter><funding>National Cancer Institute</funding><funding>NCI NIH HHS</funding><funding>NIH</funding><pagination>100744</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11046030</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>4(4)</volume><pubmed_abstract>A comprehensive analysis of site-specific protein O-glycosylation is hindered by the absence of a consensus O-glycosylation motif, the diversity of O-glycan structures, and the lack of a universal enzyme that cleaves attached O-glycans. Here, we report the development of a robust O-glycoproteomic workflow for analyzing complex biological samples by combining four different strategies: removal of N-glycans, complementary digestion using O-glycoprotease (IMPa) with/without another protease, glycopeptide enrichment, and mass spectrometry with fragmentation of glycopeptides using stepped collision energy. Using this workflow, we cataloged 474 O-glycopeptides on 189 O-glycosites derived from 79 O-glycoproteins from human plasma. These data revealed O-glycosylation of several abundant proteins t</pubmed_abstract><journal>Cell reports methods</journal><pubmed_title>Global O-glycoproteome enrichment and analysis enabled by a combinatorial enzymatic workflow.</pubmed_title><pmcid>PMC11046030</pmcid><funding_grant_id>U01 CA271410</funding_grant_id><funding_grant_id>P30CA15083</funding_grant_id><funding_grant_id>U01CA271410</funding_grant_id><pubmed_authors>Garapati K</pubmed_authors><pubmed_authors>Joshi N</pubmed_authors><pubmed_authors>Kang T</pubmed_authors><pubmed_authors>Budhraja R</pubmed_authors><pubmed_authors>Kim J</pubmed_authors><pubmed_authors>Pandey A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Global O-glycoproteome enrichment and analysis enabled by a combinatorial enzymatic workflow.</name><description>A comprehensive analysis of site-specific protein O-glycosylation is hindered by the absence of a consensus O-glycosylation motif, the diversity of O-glycan structures, and the lack of a universal enzyme that cleaves attached O-glycans. Here, we report the development of a robust O-glycoproteomic workflow for analyzing complex biological samples by combining four different strategies: removal of N-glycans, complementary digestion using O-glycoprotease (IMPa) with/without another protease, glycopeptide enrichment, and mass spectrometry with fragmentation of glycopeptides using stepped collision energy. Using this workflow, we cataloged 474 O-glycopeptides on 189 O-glycosites derived from 79 O-glycoproteins from human plasma. These data revealed O-glycosylation of several abundant proteins t</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Apr</publication><modification>2026-06-01T19:57:45.149Z</modification><creation>2026-05-20T03:07:43.565Z</creation></dates><accession>S-EPMC11046030</accession><cross_references><pubmed>38582075</pubmed><doi>10.1016/j.crmeth.2024.100744</doi></cross_references></HashMap>