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Protein Glycosylation

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Glycosylation, the most common post-translational modification for proteins, serves diverse functions. Adding sugars to proteins makes the proteins more resistant to proteolytic digestion. Glycosylated proteins can act as markers and receptors to promote cell-cell adhesion. Additionally, they have many essential quality control functions in the cell, such as correct protein folding and facilitating transport of misfolded proteins to the cytosol, which can be degraded.
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Updated: Jun 19, 2026

A Quantitative Glycomics and Proteomics Combined Purification Strategy

A Quantitative Glycomics and Proteomics Combined Purification Strategy

Published on: March 8, 2016

Quantitative glycomics.

¹Departments of Biochemistry & Molecular Biology, and Chemistry, Complex Carbohydrate Research Center, University of Georgia, Athens, GA, USA.

Methods in Molecular Biology (Clifton, N.J.)

|November 3, 2009

Summary

Quantitative analysis in comparative glycomics relies on various strategies, including label-free and isotopic labeling methods. This chapter guides researchers in selecting the optimal approach based on their specific research needs and applications.

Area of Science:

Glycomics
Quantitative Analysis
Biomarker Discovery

Background:

Comparative glycomics requires accurate methods for quantifying glycan changes.
Several strategies exist for quantitative glycomic analysis.

Purpose of the Study:

To describe available quantitative strategies in comparative glycomics.
To provide insights into the strengths and weaknesses of each approach.
To aid researchers in selecting the most suitable strategy for their applications.

Main Methods:

Label-free quantitative approaches.
Isotopic labeling strategies for glycan analysis.

Main Results:

Detailed description of label-free and isotopic labeling methods.

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Comparative analysis of the advantages and disadvantages of each method.

Conclusions:

Informed selection of quantitative glycomics strategies is crucial for successful research.
Understanding the strengths and weaknesses of different methods empowers researchers to choose the best fit for their specific applications.