ArticleScientific reports2016
Classification of Tandem Mass Spectra for Identification of N- and O-linked Glycopeptides.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Relative Quantitative Analysis of Site-Specific N-Linked Glycosylation in Hyperglycosylated Interferon-β via Mass Spectrometry.International journal of molecular sciences · 2026Article
- Simultaneous single-cell proteomics and epigenetic analysis of histone deacetylase inhibition in human cells.Communications biology · 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
- Extracting informative glycan-specific ions from glycopeptide MS/MS spectra with GlyCounter.bioRxiv : the preprint server for biology · 2025Article
- Analysis Strategy for Identifying theMolecules (Basel, Switzerland) · 2025Article
- Autonomous Dissociation-type Selection for Glycoproteomics Using a Real-Time Library Search.Journal of proteome research · 2024Article
- Expanding N-glycopeptide identifications by modeling fragmentation, elution, and glycome connectivity.Nature communications · 2024Article
- Multi-scale signaling and tumor evolution in high-grade gliomas.Cancer cell · 2024Article
- Predicting glycan structure from tandem mass spectrometry via deep learning.Nature methods · 2024Article
- Single cell proteomics by mass spectrometry reveals deep epigenetic insight into the actions of an orphan histone deacetylase inhibitor.bioRxiv : the preprint server for biology · 2024Article
- Oxonium ion scanning mass spectrometry for large-scale plasma glycoproteomics.Nature biomedical engineering · 2024Article
- Uncovering the fragmentation and separation characteristics of sophorolipid biosurfactants with LC-MS-ESI.Journal of industrial microbiology & biotechnology · 2024Article
- The multifaceted role of c-di-AMP signaling in the regulation ofFrontiers in cellular and infection microbiology · 2024Article
- Article
- Glycosylation Analysis of Urinary Peptidome Highlights IGF2 Glycopeptides in Association with CKD.International journal of molecular sciences · 2023Article
- Quantification of the actual composition of polymeric nanocapsules: a quality control analysis.Drug delivery and translational research · 2022Article
- Glycosylation and its research progress in endometrial cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022Review
- Characterization of core fucosylation via sequential enzymatic treatments of intact glycopeptides and mass spectrometry analysis.Nature communications · 2022Article
- Mapping the O-GlcNAc Modified Proteome: Applications for Health and Disease.Frontiers in molecular biosciences · 2022Review
- Article
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7 authors.
Funding
Abstract
Analysis of intact glycopeptides by mass spectrometry is essential to determining the microheterogeneity of protein glycosylation. Higher-energy collisional dissociation (HCD) fragmentation of glycopeptides generates mono- or disaccharide ions called oxonium ions that carry information about the structure of the fragmented glycans. Here, we investigated the link between glycan structures and the intensity of oxonium ions in the spectra of glycopeptides and utilized this information to improve the identification of glycopeptides in biological samples. Tandem spectra of glycopeptides from fetuin, glycophorin A, ovalbumin and gp120 tryptic digests were used to build a spectral database of N- and O-linked glycopeptides. Logistic regression was applied to this database to develop model to distinguish between the spectra of N- and O-linked glycopeptides. Remarkably, the developed model was found to reliably distinguish between the N- and O-linked glycopeptides using the spectral features of the oxonium ions using verification spectral set. Finally, the performance of the developed predictive model was evaluated in HILIC enriched glycopeptides extracted from human serum. The results showed that pre-classification of tandem spectra based on their glycosylation type improved the identification of N-linked glycopeptides. The developed model facilitates interpretation of tandem mass spectrometry data for assignment of glycopeptides.
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