ArticleAnalytical and bioanalytical chemistry2023
Analysis of complex proteoglycans using serial proteolysis and EThcD provides deep N- and O-glycoproteomic coverage.
Article in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Optimization of LC-ExD methods for glycopeptides on an Omnitrap-Orbitrap platform.Analytical and bioanalytical chemistry · 2026Article
- Distinct Proteomic and Glycosylation Signatures Differentiate A549 Tumor and BEAS-2B Nontumor Cell Line-Derived Small Extracellular Vesicles.Molecular & cellular proteomics : MCP · 2026Article
- Review
- Glycoproteomics Analysis of Triple Wild-Type Lung Adenocarcinoma Tissue Samples.Journal of proteome research · 2025Article
- Recent advances and future developments in ultrasensitive omics.Analytical and bioanalytical chemistry · 2023Article
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4 authors.
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Abstract
Proteoglycans are a small but diverse family of proteins that play a wide variety of roles at the cell surface and in the extracellular matrix. In addition to their glycosaminoglycan (GAG) chains, they are N- and O-glycosylated. All of these types of glycosylation are crucial to their function but present a considerable analytical challenge. We describe the combination of serial proteolysis followed by the application of higher-energy collisional dissociation (HCD) and electron transfer/higher-energy collisional dissociation (EThcD) to optimize protein sequence coverage and glycopeptide identification from proteoglycans. In many cases, the use of HCD alone allows the identification of more glycopeptides. However, the localization of glycoforms on multiply glycosylated peptides has remained elusive. We demonstrate the use of EThcD for the confident assignment of glycan compositions on multiply glycosylated peptides. Dense glycosylation on proteoglycans is key to their biological function; thus, developing tools to identify and quantify doubly glycosylated peptides is of interest. Additionally, glycoproteomics searches identify glycopeptides in otherwise poorly covered regions of proteoglycans. The development of these and other analytical tools may permit glycoproteomic similarity comparisons in biological samples.
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