<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wang JH</submitter><funding>Shanghai Municipal Science and Technology Major Project</funding><funding>National Key R&amp;amp;D Program of China</funding><funding>National Natural Science Foundation of China</funding><funding>Excellent Research Program of Nanjing University</funding><pagination>0850</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12410930</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>8</volume><pubmed_abstract>O-glycopeptides are highly expressed in various human cancers and play a key role in cancer progression and metastasis, making them promising biomarkers for early diagnostics. However, the inherent complexity and heterogeneity of glycans pose a major challenge for the simultaneous and precise analysis of multiple glycopeptides. Here, we developed a low-temperature nanopore technique capable of simultaneously discriminating 4 truncated O-glycopeptides with varied glycoforms. This method enables the direct identification and relative quantification of O-glycopeptides from a mixture, achieving a discrimination accuracy of 92.9%. This general strategy holds promise for the label-free analysis of glycopeptide biomarkers, with potential applications in cancer diagnostics.</pubmed_abstract><journal>Research (Washington, D.C.)</journal><pubmed_title>Direct Identification of O-Glycopeptides by Low-Temperature Assisted Nanopore Technique.</pubmed_title><pmcid>PMC12410930</pmcid><funding_grant_id>22334006</funding_grant_id><funding_grant_id>ZYJH004</funding_grant_id><funding_grant_id>22077130</funding_grant_id><funding_grant_id>22377134</funding_grant_id><funding_grant_id>2022YFA1304604</funding_grant_id><pubmed_authors>Li T</pubmed_authors><pubmed_authors>Hu ZL</pubmed_authors><pubmed_authors>Gao Z</pubmed_authors><pubmed_authors>Wang JH</pubmed_authors><pubmed_authors>Ying YL</pubmed_authors><pubmed_authors>Ma W</pubmed_authors><pubmed_authors>Long YT</pubmed_authors></additional><is_claimable>false</is_claimable><name>Direct Identification of O-Glycopeptides by Low-Temperature Assisted Nanopore Technique.</name><description>O-glycopeptides are highly expressed in various human cancers and play a key role in cancer progression and metastasis, making them promising biomarkers for early diagnostics. However, the inherent complexity and heterogeneity of glycans pose a major challenge for the simultaneous and precise analysis of multiple glycopeptides. Here, we developed a low-temperature nanopore technique capable of simultaneously discriminating 4 truncated O-glycopeptides with varied glycoforms. This method enables the direct identification and relative quantification of O-glycopeptides from a mixture, achieving a discrimination accuracy of 92.9%. This general strategy holds promise for the label-free analysis of glycopeptide biomarkers, with potential applications in cancer diagnostics.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2026-06-01T07:57:09.368Z</modification><creation>2026-04-08T10:46:01.106Z</creation></dates><accession>S-EPMC12410930</accession><cross_references><pubmed>40917498</pubmed><doi>10.34133/research.0850</doi></cross_references></HashMap>