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Updated: May 28, 2025

A Quantitative Glycomics and Proteomics Combined Purification Strategy
Published on: March 8, 2016
Uncovering protein glycosylation dynamics and heterogeneity using deep quantitative glycoprofiling (DQGlyco)
Clément M Potel1, Mira Lea Burtscher2,3, Martin Garrido-Rodriguez2,4
1Genome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany. clement.potel@embl.de.
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Protein glycosylation regulates essential cellular processes such as signaling, adhesion and cell-cell interactions; however, dysregulated glycosylation is associated with diseases such as cancer. Here we introduce deep quantitative glycoprofiling (DQGlyco), a robust method that integrates high-throughput sample preparation, highly sensitive detection and precise multiplexed quantification to investigate protein glycosylation dynamics at an unprecedented depth. Using DQGlyco, we profiled the mouse brain glycoproteome, identifying 177,198 unique N-glycopeptides-25 times more than previous studies. We quantified glycopeptide changes in human cells treated with a fucosylation inhibitor and characterized surface-exposed glycoforms. Furthermore, we analyzed tissue-specific glycosylation patterns in mice and demonstrated that a defined gut microbiota substantially remodels the mouse brain glycoproteome, shedding light on the link between the gut microbiome and brain protein functions. Additionally, we developed a novel strategy to evaluate glycoform solubility, offering new insights into their biophysical properties. Overall, the in-depth profiling offered by DQGlyco uncovered extensive complexity in glycosylation regulation.
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