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Glycopeptide Capture for Cell Surface Proteomics
Published on: May 9, 2014
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Systematic Evaluation of Affinity Enrichment Methods for O-GlcNAc Proteomics
Chunyan Hou1, Ci Wu1, Zichun Wu2
1Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia 20007, United States.
Journal of Proteome Research
|September 20, 2024
Summary
Comparing O-GlcNAcylation enrichment methods reveals each captures unique protein subsets. Combining different approaches enhances O-GlcNAc proteomics coverage for comprehensive analysis.
Area of Science:
- Proteomics
- Post-translational modifications
- Biochemistry
Background:
- O-Linked β-N-acetylglucosamine (O-GlcNAc) modification regulates numerous biological processes.
- Large-scale analysis of protein O-GlcNAcylation remains challenging.
- Various enrichment methods exist, but their comparative performance is unclear.
Purpose of the Study:
- To conduct a head-to-head comparison of three affinity enrichment methods for site-specific O-GlcNAc proteomics.
- To evaluate the performance of antibody, lectin AANL6, and OGA mutant enrichment materials.
- To assess the impact of different data analysis packages on O-GlcNAc proteomics outcomes.
Main Methods:
- Utilized PANC-1 cell lysates for enrichment experiments.
- Employed antibody, lectin AANL6, and OGA mutant affinity enrichment strategies.
- Analyzed enriched peptides using HCD product-dependent EThcD mass spectrometry.
- Processed data with Sequest HT, Byonic, and FragPipe analysis packages.
Main Results:
- Each enrichment method identified a distinct subpopulation of O-GlcNAc modified proteins.
- Complementarity was observed between different data analysis tools.
- No single method provided exhaustive O-GlcNAc protein coverage.
Conclusions:
- Individual O-GlcNAc enrichment methods capture only a fraction of the total O-GlcNAc proteome.
- Combining diverse enrichment strategies and data analysis tools is crucial for comprehensive O-GlcNAc site-specific proteomics.
- This comparative study provides insights for optimizing O-GlcNAc proteomics workflows.

