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Updated: May 24, 2026

Rapid Glyco-Qualitative Assessment of Recombinant Proteins Using a Fully Automated System

Rapid Glyco-Qualitative Assessment of Recombinant Proteins Using a Fully Automated System

Published on: June 28, 2024

iTRAQ plus 18O: a new technique for target glycoprotein analysis.

Shu Zhang¹, Xiaohui Liu, Xiaonan Kang

¹Liver Cancer Institute, Zhongshan Hospital, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, Shanghai, PR China.

|February 28, 2012

Summary

A new iTRAQ plus (18)O method accurately identifies N-glycosylation sites and quantifies glycopeptides. This approach reveals significant glycosylation changes in hepatocellular carcinoma (HCC) patients, aiding biomarker discovery.

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Area of Science:

Proteomics
Glycoproteomics
Biomarker Discovery

Background:

N-glycosylation is crucial for protein function and disease.
Accurate site-specific quantification of glycosylation is challenging.
Existing methods lack comprehensive analysis of glycopeptides and non-glycosylated peptides.

Purpose of the Study:

To develop and validate a novel strategy for site-specific N-glycosylation analysis.
To enable simultaneous quantification of glycopeptides and non-glycosylated peptides.
To identify potential glycoprotein biomarkers for liver diseases.

Main Methods:

Combined iTRAQ labeling with (18)O stable isotope labeling.
Utilized PNGase F for site-specific labeling of N-glycosylation sites.
Employed LC-MS/MS and ProteinPilot™ Software for peptide identification and quantification.

Main Results:

Successfully identified N-glycosylation sites and quantified glycopeptides.
Demonstrated accurate, site-specific quantification across four biological samples.
Observed significant changes in haptoglobin (Hp) β chain glycosylation in HCC patients.

Conclusions:

The 'iTRAQ plus (18)O' method provides a robust workflow for glycopeptide analysis.
This approach can identify altered glycosylation patterns in diseases like HCC.
The method holds promise for screening glycoproteins as clinical biomarkers.