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Standardization of PGC-LC-MS-based glycomics for sample specific glycotyping
Christopher Ashwood1, Brian Pratt2, Brendan X MacLean2
1Department of Molecular Sciences, Macquarie University, Sydney, NSW, Australia. nicki.packer@mq.edu.au and ARC Centre of Excellence for Nanoscale Biophotonics, Macquarie University, Sydney, NSW, Australia and Department of Biochemistry, Medical College of Wisconsin, Milwaukee, WI, USA.
This study introduces a method to normalize glycan analysis using porous graphitized carbon chromatography, enabling system-independent retention values for better glycomics discovery and quantitation.
Area of Science:
- Glycomics
- Chromatography
- Mass Spectrometry
Background:
- Porous graphitized carbon (PGC) chromatography offers high-resolution glycan separation, crucial for identifying isomers and novel structures.
- Current PGC applications in glycomics are limited by the lack of system-independent retention values for normalization.
- Technical variations in retention time and peak area hinder reproducible glycan analysis.
Purpose of the Study:
- To establish system-independent retention values for PGC-based glycan analysis.
- To develop an automated normalization method for glycomics studies.
- To create a comprehensive library of PGC-separated glycan structures.
Main Methods:
- Utilized hydrolyzed dextran as an internal standard for normalization.
- Employed Skyline software for post-acquisition data processing.
- Developed a spectral MS/MS library of a dextran ladder for automated normalization.
Main Results:
- Assigned system-independent glucose unit (GU) retention values for over 300 PGC-separated glycans.
- Created predictive models for core-fucosylation and bisecting GlcNAc modifications.
- Successfully discriminated between cell culture and tissue samples based on N-glycan intensity.
Conclusions:
- The developed normalization method enhances the reliability and automation of PGC-based glycan identification and quantitation.
- The GU retention value library and predictive models facilitate glycan structure discovery.
- This approach supports advanced glycomics research and biomarker discovery.
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