ArticleJournal of separation science2026
A Polymeric Zwitterionic Hydrophilic Probe for Mapping the Human Serum Endogenous Glycopeptidome.
Article in Journal of separation science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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3 authors.
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Abstract
Endogenous glycopeptides in human serum are valuable candidates for disease biomarker discovery, but their low abundance and structural complexity pose significant analytical challenges. In this study, we developed and optimized a robust workflow for enriching and in-depth characterizing the endogenous glycopeptidome using a novel hydrophilic interaction liquid chromatography (HILIC) sorbent. The HILIC-based strategy effectively enriched glycopeptides from mono-glycosylated IgG and avidin digests, as well as multi-glycosylated horseradish peroxidase (HRP), demonstrating high selectivity, femtomolar-level sensitivity (down to 1 fmol), reproducibility (RSD > 1), and reusability for up to four cycles. Comprehensive analysis by mass spectrometry (MS) identified 334 endogenous intact N-linked glycopeptides, including 318 N-glycosites from 289 glycoproteins. In addition, 242 endogenous intact O-linked glycopeptides from 38 glycoproteins are identified. These represent one of the most extensive endogenous glycopeptide datasets to date. N-glycans were primarily complex biantennary types, while Core 1 structures dominated O-glycans. Motif analysis revealed a strong preference for canonical N-glycosylation motifs (NXT/NXS) and a nearly equal distribution of O-glycosylation on serine and threonine residues. Gene Ontology analysis indicated functional enrichment in membrane-associated, catalytic, and immune-related processes. This optimized HILIC-MS platform enables sensitive and reproducible glycoproteomic profiling, providing a valuable tool for biomarker discovery.
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