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Updated: Jan 2, 2026

A Quantitative Glycomics and Proteomics Combined Purification Strategy
Published on: March 8, 2016
Chemoenzymatic Method for Glycoproteomic N-Glycan Type Quantitation
Henghui Li1, Leyuan Li1, Kai Cheng1
1SIMM-University of Ottawa Joint Research Center in Systems and Personalized Pharmacology and Ottawa Institute of Systems Biology and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine , University of Ottawa , 451 Smyth Road , Ottawa , Ontario K1H 8M5 , Canada.
A new chemoenzymatic method quantifies N-glycan types on glycoproteins, revealing glycosylation microheterogeneity. This glycoproteomic N-glycan type quantitative (glyco-TQ) approach aids cancer biomarker and pharmaceutical research.
Area of Science:
- Biochemistry
- Glycobiology
- Proteomics
Background:
- Glycosylation is a critical post-translational modification.
- Existing glycoproteomics methods primarily offer qualitative identification.
- Quantitative analysis of glycoproteins, especially N-glycan types, remains underdeveloped.
Purpose of the Study:
- To develop a quantitative method for analyzing N-glycoproteome based on N-glycan types.
- To enable the quantification of six distinct N-glycan structures per glycopeptide.
- To investigate N-glycan type microheterogeneity in biological samples.
Main Methods:
- A chemoenzymatic strategy combining endoglycosidase specificity and isotope dimethyl labeling.
- Quantification of high-mannose/hybrid, biantennary, and triantennary glycans (with/without core fucose).
- Application of the glyco-TQ method to IgG1 Fc fragment and MCF7 cell line proteins.
Main Results:
- Successful quantification of six N-glycan types on glycopeptides.
- Demonstration of the glyco-TQ method's efficacy on IgG1 Fc fragment.
- Quantitative profiling of N-glycan types in MCF7 cells, revealing glycopeptide and glycoprotein level microheterogeneity.
Conclusions:
- The developed glyco-TQ method offers a novel quantitative strategy for N-glycan type analysis.
- This approach facilitates the evaluation of glycosylation states at specific sites.
- The method has broad applications in cancer biomarker research, pharmaceutical characterization, and vaccine development.
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