ArticleNature methods2021
StrucGP: de novo structural sequencing of site-specific N-glycan on glycoproteins using a modularization strategy.
Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.
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Who cites it
77 citing papers in PubMed, 159 citations in OpenAlex.
- Glycopeptide Mass Spectrometry Data Analysis Using Protein Prospector.Methods in molecular biology (Clifton, N.J.) · 2027Article
- Article
- High-accuracy glycan de novo prediction for N- and O-linked glycopeptides across multiple fragmentation techniques.Nature communications · 2026Article
- Site-specific N-glycosylation alterations in serum proteins across subtypes of adolescent depressive disorder.BMC psychiatry · 2026Article
- Nuclear N-glycosylation maintains H3K9me3 heterochromatin and genomic stability.Nature cell biology · 2026Article
- UnderstandingJournal of the American Society for Mass Spectrometry · 2026Article
- StrucGAP: a modular, streamlined and traceable data mining platform for structural and site-specific glycoproteomics.Nature communications · 2026Article
- Glycan Sequencing, A Brief Primer.Glycoscience & therapy · 2026Article
- Expanding Glycopeptide Identification with Match-Between-Glycans in FragPipe.bioRxiv : the preprint server for biology · 2026Article
- Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives.Proteomics · 2026Review
- A comprehensive N-glycoproteome atlas reveals tissue-specific glycan remodeling but non-random structural microheterogeneities.Nature communications · 2026Article
- An Overview of Mass Spectrometry-Based Methods to Analyze Post-Translational Modifications.Methods in molecular biology (Clifton, N.J.) · 2026Review
- Stepped collisional energy improves protein acylation identification by eliminating positional bias of cyclic immonium ions.Communications chemistry · 2025Article
- GPBD: high-confidence N-glycopeptide identification via glycopeptide boundary discriminator.Analytical and bioanalytical chemistry · 2025Article
- Glycoprotein-Notebook: A Pan-Cancer Glycoproteomic Database and Toolkit for Analysis of Protein Glycosylation Changes Associated With Cancer Phenotypes.Molecular & cellular proteomics : MCP · 2025Article
- A Glycoproteome Data Mining Strategy for Characterizing Structural Features of Altered Glycans with Thymic Involution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Extracting informative glycan-specific ions from glycopeptide MS/MS spectra with GlyCounter.bioRxiv : the preprint server for biology · 2025Article
- Library-based virtual match-between-runs quantification in GlyPep-Quant improves site-specific glycan identification.Nature communications · 2025Article
- Ultradeep N-glycoproteome atlas of mouse reveals spatiotemporal signatures of brain aging and neurodegenerative diseases.Nature communications · 2025Article
- Deciphering the Metabolic Impact and Clinical Relevance of N-Glycosylation in Colorectal Cancer through Comprehensive Glycoproteomic Profiling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
17 more citing papers are in PubMed but not listed here.
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Authors and funding
19 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision mapping of glycans at structural and site-specific level is still one of the most challenging tasks in the glycobiology field. Here, we describe a modularization strategy for de novo interpretation of N-glycan structures on intact glycopeptides using tandem mass spectrometry. An algorithm named StrucGP is also developed to automate the interpretation process for large-scale analysis. By dividing an N-glycan into three modules and identifying each module using distinct patterns of Y ions or a combination of distinguishable B/Y ions, the method enables determination of detailed glycan structures on thousands of glycosites in mouse brain, which comprise four types of core structure and 17 branch structures with three glycan subtypes. Owing to the database-independent glycan mapping strategy, StrucGP also facilitates the identification of rare/new glycan structures. The approach will be greatly beneficial for in-depth structural and functional study of glycoproteins in the biomedical research.
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