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Updated: Apr 5, 2026

A Quantitative Glycomics and Proteomics Combined Purification Strategy
Published on: March 8, 2016
Mass Spectrometry-Based Proteomics Methods for Systematic Identification and Quantification of Protein
Longping Fu1, Xing Xu1, Ronghu Wu1
1School of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
This review details advances in mass spectrometry (MS) proteomics for characterizing protein O-glycosylation, a vital process implicated in diseases like cancer. New methods improve the identification and quantification of these complex modifications.
Area of Science:
- Biochemistry and Molecular Biology
- Proteomics
- Glycoscience
Background:
- Protein O-glycosylation is a prevalent post-translational modification crucial for cellular functions.
- Dysregulation of O-glycosylation is linked to significant diseases, including cancer and neurodegenerative disorders.
- Mass spectrometry (MS)-based proteomics offers powerful tools for O-glycoproteome characterization.
Purpose of the Study:
- To review recent advancements in MS-based proteomics for characterizing protein O-glycosylation.
- To highlight methods overcoming challenges in low abundance, heterogeneity, and sample complexity.
- To discuss tools for global and site-specific O-glycopeptide analysis.
Main Methods:
- Overview of O-glycosylation biosynthetic pathways.
- Discussion of O-glycopeptide enrichment strategies for diverse glycan structures.
- Exploration of MS dissociation techniques for intact glycopeptide profiling.
- Inclusion of quantitative approaches for biological and biomedical research.
- Examination of computational tools for O-glycopeptide identification and site localization.
Main Results:
- Recent MS-based proteomics methods enable more comprehensive characterization of protein O-glycosylation.
- Advances address challenges related to low glycoprotein abundance and glycan heterogeneity.
- Improved enrichment, dissociation, and computational tools enhance O-glycopeptide identification and quantification.
- Progress in MS-based glycoproteomics facilitates deeper understanding of O-glycosylation's biological roles.
Conclusions:
- Advancements in MS-based glycoproteomics are essential for understanding protein O-glycosylation.
- These techniques are critical for gaining insights into the roles of O-glycosylation in human health and disease.
- Further development of MS-based methods will accelerate discoveries in O-glycoproteomics.
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