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In-Depth Proteomic Analysis of Human Bronchoalveolar Lavage Fluid toward the Biomarker Discovery for Lung Cancers
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dc.contributor.author Sim, Seo Young -
dc.contributor.author Choi, Yu Ri -
dc.contributor.author Lee, Jun Hyung -
dc.contributor.author Lim, Jae Min -
dc.contributor.author Lee, Seung-Eun -
dc.contributor.author Kim, Kwang Pyo -
dc.contributor.author Kim, Jin Young -
dc.contributor.author Lee, Seung Hyeun -
dc.contributor.author Kim, Min-Sik -
dc.date.accessioned 2019-10-16T12:57:10Z -
dc.date.available 2019-10-16T12:57:10Z -
dc.date.created 2019-07-04 -
dc.date.issued 2019-09 -
dc.identifier.issn 1862-8346 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/10799 -
dc.description.abstract Purpose: Lung cancer is among the most common cancers. Bronchoalveolar lavage fluid (BALF) can be easily obtained from patients with lung cancers. The aim is to develop a novel proteomic method of the molecule-based sensitive detection of biomarkers from BALF. Experimental Design: BALF samples are collected from segmental bronchus of 14 patients with lung cancers from Kyung Hee University Hospital. First, BALF proteome is depleted using a depletion column, and then peptides are prepared from the enriched low abundant proteins and fractionated by high pH reverse phase liquid chromatography prior to LC-MS/MS. Data are available via ProteomeXchange with identifier PXD012645. Results: A novel method is developed for in-depth proteomic analysis of BALF by combining antibody-based depletion of high abundant proteins from BALF with high pH peptide fractionation. Peptides are analyzed on a high resolution Orbitrap Fusion mass spectrometer. MaxQuant search result in the identification of 4615 protein groups mapped to 4534 genes. Conclusions and Clinical Relevance: It is found that the method outperformed conventional BALF proteomic methods and it is believed that this method will facilitate the biomarker research for lung cancer. In addition, it is shown that BALF will be a great source of biomarkers of lung diseases. © 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim -
dc.language English -
dc.publisher Wiley -
dc.title In-Depth Proteomic Analysis of Human Bronchoalveolar Lavage Fluid toward the Biomarker Discovery for Lung Cancers -
dc.type Article -
dc.identifier.doi 10.1002/prca.201900028 -
dc.identifier.wosid 000486536700010 -
dc.identifier.scopusid 2-s2.0-85067661787 -
dc.identifier.bibliographicCitation Sim, Seo Young. (2019-09). In-Depth Proteomic Analysis of Human Bronchoalveolar Lavage Fluid toward the Biomarker Discovery for Lung Cancers. Proteomics - Clinical Applications, 13(5). doi: 10.1002/prca.201900028 -
dc.description.isOpenAccess FALSE -
dc.subject.keywordAuthor biomarkers -
dc.subject.keywordAuthor bronchoalveolar lavage fluid -
dc.subject.keywordAuthor depletion -
dc.subject.keywordAuthor high-pH fractionation -
dc.subject.keywordAuthor lung cancer -
dc.subject.keywordPlus ADENOCARCINOMA -
dc.citation.number 5 -
dc.citation.title Proteomics - Clinical Applications -
dc.citation.volume 13 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Biochemistry & Molecular Biology -
dc.relation.journalWebOfScienceCategory Biochemical Research Methods; Biochemistry & Molecular Biology -
dc.type.docType Article -
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김민식
Kim, Min-Sik김민식

Department of New Biology

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