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Protein Glycosylation

Protein Glycosylation

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.
Glycosylation occurs in...

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Updated: May 15, 2026

A Quantitative Glycomics and Proteomics Combined Purification Strategy

A Quantitative Glycomics and Proteomics Combined Purification Strategy

Published on: March 8, 2016

Quantitative glycomics strategies.

Yehia Mechref¹, Yunli Hu, Janie L Desantos-Garcia

¹Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, Texas 79409, USA. yehia.mechref@ttu.edu

Molecular & Cellular Proteomics : MCP

|January 18, 2013

Summary

This summary is machine-generated.

Quantitative glycomics strategies are crucial for understanding protein glycosylation in health and disease. This review discusses various analytical techniques for sensitive glycan detection and quantification.

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Glycan Node Analysis: A Bottom-up Approach to Glycomics

Glycan Node Analysis: A Bottom-up Approach to Glycomics

Published on: May 22, 2016

Area of Science:

Biochemistry
Analytical Chemistry

Background:

Protein glycosylation is linked to numerous biological processes and diseases.
Accurate monitoring of glycan abundance and structure is increasingly important.

Purpose of the Study:

To describe and discuss available strategies for quantitative glycomics.
To highlight methods for sensitive detection and quantification of glycans.

Main Methods:

Utilizes multiple analytical techniques including capillary electrophoresis, liquid chromatography, and mass spectrometry.
Employs labeling strategies with ionic, hydrophobic, and stable isotopic reagents for enhanced detection and quantification.

Main Results:

Discusses various labeling approaches for improved glycan detection.
Highlights the viability of stable isotopic labeling for relative quantitation.

Conclusions:

Reliable and sensitive quantitative glycomics methods are essential for biological and medical research.
The discussed strategies provide a foundation for advancing glycomics analysis.