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Title 

Integrated GlycoProteome Analyzer (I-GPA) for automated identification and quantitation of site-specific N-glycosylation

Authors 

G W ParkJ Y KimH HwangJ Y LeeY H AhnH K LeeE S JiK H KimH K JeongK N YunYong Sam KimJeong Heon KoH J AnJ H KimY K PaikJ S Yoo

Publisher 

Nature Publishing Group

Issue Date 

2016

Citation 

Scientific Reports, vol. 6, no. 0, pp. 21175-21175

Abstract 

Human glycoproteins exhibit enormous heterogeneity at each N-glycosite, but few studies have attempted to globally characterize the site-specific structural features. We have developed Integrated GlycoProteome Analyzer (I-GPA) including mapping system for complex N-glycoproteomes, which combines methods for tandem mass spectrometry with a database search and algorithmic suite. Using an N-glycopeptide database that we constructed, we created novel scoring algorithms with decoy glycopeptides, where 95 N-glycopeptides from standard α1-acid glycoprotein were identified with 0% false positives, giving the same results as manual validation. Additionally automated label-free quantitation method was first developed that utilizes the combined intensity of top three isotope peaks at three highest MS spectral points. The efficiency of I-GPA was demonstrated by automatically identifying 619 site-specific N-glycopeptides with FDR ≤ 1%, and simultaneously quantifying 598 N-glycopeptides, from human plasma samples that are known to contain highly glycosylated proteins. Thus, I-GPA platform could make a major breakthrough in high-throughput mapping of complex N-glycoproteomes, which can be applied to biomarker discovery and ongoing global human proteome project.

ISSN 

2045-2322

Link 

http://dx.doi.org/10.1038/srep21175

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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