{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wang JH"],"funding":["Shanghai Municipal Science and Technology Major Project","National Key R&D Program of China","National Natural Science Foundation of China","Excellent Research Program of Nanjing University"],"pagination":["0850"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12410930"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["8"],"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."],"journal":["Research (Washington, D.C.)"],"pubmed_title":["Direct Identification of O-Glycopeptides by Low-Temperature Assisted Nanopore Technique."],"pmcid":["PMC12410930"],"funding_grant_id":["22334006","ZYJH004","22077130","22377134","2022YFA1304604"],"pubmed_authors":["Li T","Hu ZL","Gao Z","Wang JH","Ying YL","Ma W","Long YT"],"additional_accession":[]},"is_claimable":false,"name":"Direct Identification of O-Glycopeptides by Low-Temperature Assisted Nanopore Technique.","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.","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-06-01T07:57:09.368Z","creation":"2026-04-08T10:46:01.106Z"},"accession":"S-EPMC12410930","cross_references":{"pubmed":["40917498"],"doi":["10.34133/research.0850"]}}