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Novel Online Three-Dimensional Separation Expands the Detectable Functional Landscape of Cellular Phosphoproteome

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dc.contributor.authorKang, Chaewon-
dc.contributor.authorHuh, Sunghyun-
dc.contributor.authorNam, Dowoon-
dc.contributor.authorKim, Hokeun-
dc.contributor.authorHong, Jiwon-
dc.contributor.authorHwang, Daehee-
dc.contributor.authorLee, Sang-Won-
dc.date.accessioned2022-11-23T00:43:24Z-
dc.date.available2022-11-23T00:43:24Z-
dc.date.created2022-09-27-
dc.date.issued2022-09-
dc.identifier.citationAnalytical Chemistry, Vol.94 No.35, pp.12185-12195-
dc.identifier.issn0003-2700-
dc.identifier.urihttps://hdl.handle.net/10371/187210-
dc.description.abstractProtein phosphorylation is a prevalent post-translational modification that regulates essentially every aspect of cellular processes. Currently, liquid chromatography-tandem mass spectrometry (LC-MS/MS) with an extensive offline sample fractionation and a phosphopeptide enrichment method is a best practice for deep phosphoproteome profiling, but balancing throughput and profiling depth remains a practical challenge. We present an online three-dimensional separation method for ultradeep phosphoproteome profiling that combines an online two-dimensional liquid chromatography separation and an additional gas-phase separation. This method identified over 100,000 phosphopeptides (>60,000 phosphosites) in HeLa cells during 1.5 days of data acquisition, and the largest HeLa cell phosphoproteome significantly expanded the detectable functional landscape of cellular phosphoproteome.-
dc.language영어-
dc.publisherAmerican Chemical Society-
dc.titleNovel Online Three-Dimensional Separation Expands the Detectable Functional Landscape of Cellular Phosphoproteome-
dc.typeArticle-
dc.identifier.doi10.1021/acs.analchem.2c02641-
dc.citation.journaltitleAnalytical Chemistry-
dc.identifier.wosid000848107600001-
dc.identifier.scopusid2-s2.0-85137217936-
dc.citation.endpage12195-
dc.citation.number35-
dc.citation.startpage12185-
dc.citation.volume94-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorHwang, Daehee-
dc.type.docTypeArticle; Early Access-
dc.description.journalClass1-
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