Deep proteomic profiling of human carotid atherosclerotic plaques using multidimensional LC-MS/MS

Purpose: To increase the proteome coverage of human atherosclerotic plaques and identify low-abundance proteins that may have important functions during the development and progression of atherosclerosis. Experimental design: Thirty-eight human carotid atherosclerotic plaques were pooled into two sa...

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Main Authors: Sze, Siu Kwan, Hao, Piliang, Ren, Yan, Pasterkamp, Gerard, Moll, Frans L., de Kleijn, Dominique P. V.
Other Authors: School of Biological Sciences
Format: Article
Language:English
Published: 2014
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Online Access:https://hdl.handle.net/10356/100610
http://hdl.handle.net/10220/24147
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1006102020-03-07T12:18:19Z Deep proteomic profiling of human carotid atherosclerotic plaques using multidimensional LC-MS/MS Sze, Siu Kwan Hao, Piliang Ren, Yan Pasterkamp, Gerard Moll, Frans L. de Kleijn, Dominique P. V. School of Biological Sciences Singapore Centre for Environmental Life Sciences Engineering DRNTU::Science::Biological sciences::Human anatomy and physiology Purpose: To increase the proteome coverage of human atherosclerotic plaques and identify low-abundance proteins that may have important functions during the development and progression of atherosclerosis. Experimental design: Thirty-eight human carotid atherosclerotic plaques were pooled into two samples and analyzed in triplicate using offline multidimensional LC-MS/MS. The collected fractions of trypsin-digested peptides from Electrostatic Repulsion-Hydrophilic Interaction Chromatography (ERLIC) were analyzed by LC-MS/MS on a Q Exactive (Thermo Fisher, MA, USA). Results: A total of 4702 proteins were identified from atherosclerotic plaques at a false discovery rate (FDR) of 1%, of which 3846 were identified with at least 2 unique peptides. Many pathways related to the development and progression of atherosclerosis were identified, such as atherosclerosis signaling, toll receptor signaling pathway and inhibition of matrix metalloproteases. Many low-abundance proteins with important functions in atherosclerosis that were previously unidentifiable using mass spectrometry based proteomics methods, such as TGF-β, interleukins and other growth factors, were identified confidently from plaques. Conclusions and clinical relevance: This study has substantially increased the coverage of the atherosclerotic plaque proteome which represents a leap forward in understanding of plaque composition, development and progression. The identification of many low-abundance proteins may also facilitate biomarker discovery. 2014-10-29T02:48:30Z 2019-12-06T20:25:20Z 2014-10-29T02:48:30Z 2019-12-06T20:25:20Z 2014 2014 Journal Article Hao, P., Ren, Y., Pasterkamp, G., Moll, F. L., de Kleijn, D. P. V., & Sze, S. K. (2014). Deep proteomic profiling of human carotid atherosclerotic plaques using multidimensional LC-MS/MS. PROTEOMICS - clinical applications, 8(7-8), 631-635. 1862-8346 https://hdl.handle.net/10356/100610 http://hdl.handle.net/10220/24147 10.1002/prca.201400007 en PROTEOMICS - clinical applications © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Science::Biological sciences::Human anatomy and physiology
spellingShingle DRNTU::Science::Biological sciences::Human anatomy and physiology
Sze, Siu Kwan
Hao, Piliang
Ren, Yan
Pasterkamp, Gerard
Moll, Frans L.
de Kleijn, Dominique P. V.
Deep proteomic profiling of human carotid atherosclerotic plaques using multidimensional LC-MS/MS
description Purpose: To increase the proteome coverage of human atherosclerotic plaques and identify low-abundance proteins that may have important functions during the development and progression of atherosclerosis. Experimental design: Thirty-eight human carotid atherosclerotic plaques were pooled into two samples and analyzed in triplicate using offline multidimensional LC-MS/MS. The collected fractions of trypsin-digested peptides from Electrostatic Repulsion-Hydrophilic Interaction Chromatography (ERLIC) were analyzed by LC-MS/MS on a Q Exactive (Thermo Fisher, MA, USA). Results: A total of 4702 proteins were identified from atherosclerotic plaques at a false discovery rate (FDR) of 1%, of which 3846 were identified with at least 2 unique peptides. Many pathways related to the development and progression of atherosclerosis were identified, such as atherosclerosis signaling, toll receptor signaling pathway and inhibition of matrix metalloproteases. Many low-abundance proteins with important functions in atherosclerosis that were previously unidentifiable using mass spectrometry based proteomics methods, such as TGF-β, interleukins and other growth factors, were identified confidently from plaques. Conclusions and clinical relevance: This study has substantially increased the coverage of the atherosclerotic plaque proteome which represents a leap forward in understanding of plaque composition, development and progression. The identification of many low-abundance proteins may also facilitate biomarker discovery.
author2 School of Biological Sciences
author_facet School of Biological Sciences
Sze, Siu Kwan
Hao, Piliang
Ren, Yan
Pasterkamp, Gerard
Moll, Frans L.
de Kleijn, Dominique P. V.
format Article
author Sze, Siu Kwan
Hao, Piliang
Ren, Yan
Pasterkamp, Gerard
Moll, Frans L.
de Kleijn, Dominique P. V.
author_sort Sze, Siu Kwan
title Deep proteomic profiling of human carotid atherosclerotic plaques using multidimensional LC-MS/MS
title_short Deep proteomic profiling of human carotid atherosclerotic plaques using multidimensional LC-MS/MS
title_full Deep proteomic profiling of human carotid atherosclerotic plaques using multidimensional LC-MS/MS
title_fullStr Deep proteomic profiling of human carotid atherosclerotic plaques using multidimensional LC-MS/MS
title_full_unstemmed Deep proteomic profiling of human carotid atherosclerotic plaques using multidimensional LC-MS/MS
title_sort deep proteomic profiling of human carotid atherosclerotic plaques using multidimensional lc-ms/ms
publishDate 2014
url https://hdl.handle.net/10356/100610
http://hdl.handle.net/10220/24147
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