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In-Depth Proteomic Analysis of Human Bronchoalveolar Lavage Fluid toward the Biomarker Discovery for Lung Cancers

Title
In-Depth Proteomic Analysis of Human Bronchoalveolar Lavage Fluid toward the Biomarker Discovery for Lung Cancers
Authors
Sim, Seo YoungChoi, Yu RiLee, Jun HyungLim, Jae MinLee, Seung-EunKim, Kwang PyoKim, Jin YoungLee, Seung HyeunKim, Min-Sik
DGIST Authors
Kim, Min-Sik
Issue Date
2019-09
Citation
Proteomics - Clinical Applications, 13(5)
Type
Article
Article Type
Article
Author Keywords
biomarkersbronchoalveolar lavage fluiddepletionhigh-pH fractionationlung cancer
Keywords
ADENOCARCINOMA
ISSN
1862-8346
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
URI
http://hdl.handle.net/20.500.11750/10799
DOI
10.1002/prca.201900028
Publisher
Wiley-VCH Verlag
Related Researcher
  • Author Kim, Min-Sik Laboratory for QBIO and Precision Medicine
  • Research Interests Cancer Proteogenomics, Biomarker Discovery, Integrative Multi-Omics
Files:
There are no files associated with this item.
Collection:
Department of New BiologyLaboratory for QBIO and Precision Medicine1. Journal Articles


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