DC Field | Value | Language |
---|---|---|
dc.contributor.author | G W Park | - |
dc.contributor.author | J Y Kim | - |
dc.contributor.author | H Hwang | - |
dc.contributor.author | J Y Lee | - |
dc.contributor.author | Y H Ahn | - |
dc.contributor.author | H K Lee | - |
dc.contributor.author | E S Ji | - |
dc.contributor.author | K H Kim | - |
dc.contributor.author | H K Jeong | - |
dc.contributor.author | K N Yun | - |
dc.contributor.author | Yong Sam Kim | - |
dc.contributor.author | Jeong Heon Ko | - |
dc.contributor.author | H J An | - |
dc.contributor.author | J H Kim | - |
dc.contributor.author | Y K Paik | - |
dc.contributor.author | J S Yoo | - |
dc.date.accessioned | 2017-04-19T10:18:17Z | - |
dc.date.available | 2017-04-19T10:18:17Z | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | 10.1038/srep21175 | ko |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/13156 | - |
dc.description.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. | - |
dc.publisher | Springer-Nature Pub Group | - |
dc.title | Integrated GlycoProteome Analyzer (I-GPA) for automated identification and quantitation of site-specific N-glycosylation | - |
dc.title.alternative | Integrated GlycoProteome Analyzer (I-GPA) for automated identification and quantitation of site-specific N-glycosylation | - |
dc.type | Article | - |
dc.citation.title | Scientific Reports | - |
dc.citation.number | 0 | - |
dc.citation.endPage | 21175 | - |
dc.citation.startPage | 21175 | - |
dc.citation.volume | 6 | - |
dc.contributor.affiliatedAuthor | Yong Sam Kim | - |
dc.contributor.affiliatedAuthor | Jeong Heon Ko | - |
dc.contributor.alternativeName | 박건욱 | - |
dc.contributor.alternativeName | 김진영 | - |
dc.contributor.alternativeName | 황희연 | - |
dc.contributor.alternativeName | 이주연 | - |
dc.contributor.alternativeName | 안영희 | - |
dc.contributor.alternativeName | 이현경 | - |
dc.contributor.alternativeName | 지은선 | - |
dc.contributor.alternativeName | 김광회 | - |
dc.contributor.alternativeName | 정회근 | - |
dc.contributor.alternativeName | 윤기나 | - |
dc.contributor.alternativeName | 김용삼 | - |
dc.contributor.alternativeName | 고정헌 | - |
dc.contributor.alternativeName | 안현주 | - |
dc.contributor.alternativeName | 김재한 | - |
dc.contributor.alternativeName | 백영기 | - |
dc.contributor.alternativeName | 유종신 | - |
dc.identifier.bibliographicCitation | Scientific Reports, vol. 6, pp. 21175-21175 | - |
dc.identifier.doi | 10.1038/srep21175 | - |
dc.description.journalClass | Y | - |
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