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Updated: Apr 30, 2026

Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments
Published on: February 7, 2025
Efficient and accurate glycopeptide identification pipeline for high-throughput site-specific N-glycosylation
Mingqi Liu1, Yang Zhang, Yaohan Chen
1Department of Chemistry, Fudan University , 220 Han Dan Road, Shanghai 200433, P. R. China.
Abstract:
Study of site-specific N-glycosylation in complex sample remains a huge analytical challenge because protein glycosylation is structurally diverse in post-translational modifications, resulting in an intricacy of N-glycopeptides. Here we have developed a novel approach for high-throughput N-glycopeptide profiling based on a network-centric algorithm for deciphering glycan fragmentation in mass spectrometry. We performed an extensive validation and a high-throughput N-glycosylation study on serum and identified thousands of N-glycopeptide spectra with high confidence. The results revealed a similar level of glycan microheterogeneity to that of conventional glycomics approach on individual proteins and provided the unique in-depth site-specific information that could only be studied through glycopeptide profiling.

