Automating mass spectrometry-based quantitative glycomics using aminoxy tandem mass tag reagents with SimGlycan

Area of Science:

• Biochemistry
• Analytical Chemistry
• Molecular Biology

Background:

• Protein glycosylation is a crucial post-translational modification impacting biological processes.
• Changes in glycan structure and abundance are linked to various diseases, necessitating detailed glycomics studies.
• Accurate mass spectrometry-based quantitative analysis is an emerging trend in glycomics.

Purpose of the Study:

• To address the lack of automated informatics tools for qualitative and quantitative glycan analysis.
• To streamline the analysis of aminoxyTMT labeled glycans derived from complex biological mixtures.
• To facilitate in-depth studies in glycoproteomics for disease research.

Main Methods:

• Development of novel software modules for automated data analysis.
• Utilizing aminoxyTMT reagents for efficient relative quantitation of carbohydrates.
• Employing mass spectrometry (MS/MS) for glycan identification and quantitation.

Main Results:

• Successful development of software modules to automate glycan analysis protocols.
• Demonstrated efficiency in quantitative analysis of N-glycans using aminoxyTMT labeling.
• Enabled streamlined qualitative and quantitative analysis of complex glycan mixtures.

Conclusions:

• The developed software modules significantly advance the field of quantitative glycoproteomics.
• Automated analysis protocols facilitate more efficient and accurate glycan studies.
• These tools are essential for understanding the role of glycans in health and disease.