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

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dc.contributor.authorG W Park-
dc.contributor.authorJ Y Kim-
dc.contributor.authorH Hwang-
dc.contributor.authorJ Y Lee-
dc.contributor.authorY H Ahn-
dc.contributor.authorH K Lee-
dc.contributor.authorE S Ji-
dc.contributor.authorK H Kim-
dc.contributor.authorH K Jeong-
dc.contributor.authorK N Yun-
dc.contributor.authorYong Sam Kim-
dc.contributor.authorJeong Heon Ko-
dc.contributor.authorH J An-
dc.contributor.authorJ H Kim-
dc.contributor.authorY K Paik-
dc.contributor.authorJ S Yoo-
dc.date.accessioned2017-04-19T10:18:17Z-
dc.date.available2017-04-19T10:18:17Z-
dc.date.issued2016-
dc.identifier.issn2045-2322-
dc.identifier.uri10.1038/srep21175ko
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/13156-
dc.description.abstractHuman 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.-
dc.publisherSpringer-Nature Pub Group-
dc.titleIntegrated GlycoProteome Analyzer (I-GPA) for automated identification and quantitation of site-specific N-glycosylation-
dc.title.alternativeIntegrated GlycoProteome Analyzer (I-GPA) for automated identification and quantitation of site-specific N-glycosylation-
dc.typeArticle-
dc.citation.titleScientific Reports-
dc.citation.number0-
dc.citation.endPage21175-
dc.citation.startPage21175-
dc.citation.volume6-
dc.contributor.affiliatedAuthorYong Sam Kim-
dc.contributor.affiliatedAuthorJeong Heon Ko-
dc.contributor.alternativeName박건욱-
dc.contributor.alternativeName김진영-
dc.contributor.alternativeName황희연-
dc.contributor.alternativeName이주연-
dc.contributor.alternativeName안영희-
dc.contributor.alternativeName이현경-
dc.contributor.alternativeName지은선-
dc.contributor.alternativeName김광회-
dc.contributor.alternativeName정회근-
dc.contributor.alternativeName윤기나-
dc.contributor.alternativeName김용삼-
dc.contributor.alternativeName고정헌-
dc.contributor.alternativeName안현주-
dc.contributor.alternativeName김재한-
dc.contributor.alternativeName백영기-
dc.contributor.alternativeName유종신-
dc.identifier.bibliographicCitationScientific Reports, vol. 6, pp. 21175-21175-
dc.identifier.doi10.1038/srep21175-
dc.description.journalClassY-
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Synthetic Biology and Bioengineering Research Institute > Genome Editing Research Center > 1. Journal Articles
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