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Published on: March 8, 2020
Exploring the sialiome using titanium dioxide chromatography and mass spectrometry
Martin R Larsen1, Søren S Jensen, Lene A Jakobsen
1Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark.
Molecular & Cellular Proteomics : MCP
|July 12, 2007
Summary
This study introduces a novel method for isolating sialic acid-containing glycopeptides from complex mixtures. This technique enhances biomarker discovery for diseases by analyzing the sialiome in human plasma and saliva.
Area of Science:
- Biochemistry
- Proteomics
- Analytical Chemistry
Background:
- Biomarker discovery relies on analyzing protein and peptide expression patterns in biofluids.
- Post-translational modifications, like glycosylation, add complexity and potential for specific disease biomarkers.
- Abnormal protein glycosylation is linked to various diseases, making the glycoproteome a key area for research.
Purpose of the Study:
- To develop a simple and highly selective strategy for purifying sialic acid-containing glycopeptides (the sialiome) from complex peptide mixtures.
- To characterize the human plasma and saliva sialiomes using this new method.
- To demonstrate the potential of this approach for biomarker discovery in disease diagnostics and monitoring.
Main Methods:
- Utilized the specific affinity of sialic acids for titanium dioxide under defined buffer conditions for selective purification.
- Employed mass spectrometry in conjunction with the purification strategy.
- Applied the method to analyze human plasma and saliva samples.
Main Results:
- Successfully purified sialic acid-containing glycopeptides from complex biological samples.
- Identified 192 glycosylation sites in the human plasma sialiome.
- Identified 97 glycosylation sites in the human saliva sialiome.
Conclusions:
- The developed titanium dioxide-based strategy offers a simple and selective approach for sialiome enrichment.
- This method facilitates the characterization of glycopeptides in complex biofluids.
- The approach holds significant potential for advancing biomarker discovery in clinical diagnostics and disease monitoring.
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