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A Quantitative Glycomics and Proteomics Combined Purification Strategy
Published on: March 8, 2016
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Stable isotopic labeling-based quantitative targeted glycomics (i-QTaG).
Kyoung-Jin Kim1, Yoon-Woo Kim1, Yun-Gon Kim1
1Dept. of Chemical Engineering, Soongsil University, Seoul, 156-743, Republic of Korea.
Biotechnology Progress
|April 3, 2015
Summary
A new stable isotopic labeling-based quantitative targeted glycomics (i-QTaG) method enables precise N-glycan analysis using mass spectrometry. This technique accurately quantifies glycosylation changes, showing potential for diagnosing diseases like prostate cancer.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Glycomics
Background:
- Aberrant glycosylation is linked to various diseases.
- Mass spectrometry (MS) with stable isotopic labeling offers quantitative insights.
- Accurate quantification of N-glycans is crucial for disease biomarker discovery.
Purpose of the Study:
- To develop and validate a stable isotopic labeling-based quantitative targeted glycomics (i-QTaG) technique.
- To enable comparative and quantitative analysis of total N-glycans using MALDI-TOF MS.
- To assess the potential of i-QTaG for diagnosing and monitoring disease-associated glycosylation alterations.
Main Methods:
- Developed i-QTaG technique involving chemical derivatization (sialic acid neutralization, stable isotopic labeling).
- Utilized matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) for analysis.
- Validated the method using a model glycoprotein (bovine fetuin) and human serum samples with varying N-glycan ratios.
Main Results:
- The i-QTaG method demonstrated excellent linearity (R(2) > 0.99) with glycoprotein amounts.
- Relative intensity ratios of labeled N-glycans closely matched theoretical molar ratios.
- Identified significant up-regulation of Lewis antigen (~82%) in prostate cancer patient sera compared to normal controls.
Conclusions:
- The i-QTaG technique provides reliable comparative quantitation of total N-glycans.
- MALDI-TOF MS-based i-QTaG shows promise for diagnosing and monitoring glycosylation changes in diseases.
- This method has potential applications in disease diagnostics and biotherapeutic monitoring.

