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Comparative untargeted proteomic analysis of ADME proteins and tumor antigens for tumor cell lines

In the present study, total membrane proteins from tumor cell lines including HepG2, Hep3B2, H226, Ovcar3 and N87 were extracted and digested with γLysC and trypsin. The resulting peptide lysate were pre-fractionated and subjected to untargeted quantitative proteomics analysis using a high resolutio...

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Autores principales: Gu, Xiaomei, Xiao, Qing, Ruan, Qian, Shu, Yuezhong, Dongre, Ashok, Iyer, Ramaswamy, Humphreys, W. Griffith, Lai, Yurong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5925393/
https://www.ncbi.nlm.nih.gov/pubmed/29719786
http://dx.doi.org/10.1016/j.apsb.2017.10.002
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author Gu, Xiaomei
Xiao, Qing
Ruan, Qian
Shu, Yuezhong
Dongre, Ashok
Iyer, Ramaswamy
Humphreys, W. Griffith
Lai, Yurong
author_facet Gu, Xiaomei
Xiao, Qing
Ruan, Qian
Shu, Yuezhong
Dongre, Ashok
Iyer, Ramaswamy
Humphreys, W. Griffith
Lai, Yurong
author_sort Gu, Xiaomei
collection PubMed
description In the present study, total membrane proteins from tumor cell lines including HepG2, Hep3B2, H226, Ovcar3 and N87 were extracted and digested with γLysC and trypsin. The resulting peptide lysate were pre-fractionated and subjected to untargeted quantitative proteomics analysis using a high resolution mass spectrometer. The mass spectra were processed by the MaxQuant and the protein abundances were estimated using total peak area (TPA) method. A total of 6037 proteins were identified, and the analysis resulted in the identification of 2647 membrane proteins. Of those, tumor antigens and absorption, metabolism, disposition and elimination (ADME) proteins including UDP-glucuronosyltransferase, cytochrome P450, solute carriers and ATP-binding cassette transporters were detected and disclosed significant variations among the cell lines. The principal component analysis was performed for the cluster of cell lines. The results demonstrated that H226 is closely related with N87, while Hep3B2 aligned with HepG2. The protein cluster of Ovcar3 was apart from that of other cell lines investigated. By providing for the first time quantitative untargeted proteomics analysis, the results delineated the expression profiles of membrane proteins. These findings provided a useful resource for selecting targets of choice for anticancer therapy through advancing data obtained from preclinical tumor cell line models to clinical outcomes.
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spelling pubmed-59253932018-05-01 Comparative untargeted proteomic analysis of ADME proteins and tumor antigens for tumor cell lines Gu, Xiaomei Xiao, Qing Ruan, Qian Shu, Yuezhong Dongre, Ashok Iyer, Ramaswamy Humphreys, W. Griffith Lai, Yurong Acta Pharm Sin B Original Article In the present study, total membrane proteins from tumor cell lines including HepG2, Hep3B2, H226, Ovcar3 and N87 were extracted and digested with γLysC and trypsin. The resulting peptide lysate were pre-fractionated and subjected to untargeted quantitative proteomics analysis using a high resolution mass spectrometer. The mass spectra were processed by the MaxQuant and the protein abundances were estimated using total peak area (TPA) method. A total of 6037 proteins were identified, and the analysis resulted in the identification of 2647 membrane proteins. Of those, tumor antigens and absorption, metabolism, disposition and elimination (ADME) proteins including UDP-glucuronosyltransferase, cytochrome P450, solute carriers and ATP-binding cassette transporters were detected and disclosed significant variations among the cell lines. The principal component analysis was performed for the cluster of cell lines. The results demonstrated that H226 is closely related with N87, while Hep3B2 aligned with HepG2. The protein cluster of Ovcar3 was apart from that of other cell lines investigated. By providing for the first time quantitative untargeted proteomics analysis, the results delineated the expression profiles of membrane proteins. These findings provided a useful resource for selecting targets of choice for anticancer therapy through advancing data obtained from preclinical tumor cell line models to clinical outcomes. Elsevier 2018-03 2017-11-04 /pmc/articles/PMC5925393/ /pubmed/29719786 http://dx.doi.org/10.1016/j.apsb.2017.10.002 Text en © 2018 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Gu, Xiaomei
Xiao, Qing
Ruan, Qian
Shu, Yuezhong
Dongre, Ashok
Iyer, Ramaswamy
Humphreys, W. Griffith
Lai, Yurong
Comparative untargeted proteomic analysis of ADME proteins and tumor antigens for tumor cell lines
title Comparative untargeted proteomic analysis of ADME proteins and tumor antigens for tumor cell lines
title_full Comparative untargeted proteomic analysis of ADME proteins and tumor antigens for tumor cell lines
title_fullStr Comparative untargeted proteomic analysis of ADME proteins and tumor antigens for tumor cell lines
title_full_unstemmed Comparative untargeted proteomic analysis of ADME proteins and tumor antigens for tumor cell lines
title_short Comparative untargeted proteomic analysis of ADME proteins and tumor antigens for tumor cell lines
title_sort comparative untargeted proteomic analysis of adme proteins and tumor antigens for tumor cell lines
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5925393/
https://www.ncbi.nlm.nih.gov/pubmed/29719786
http://dx.doi.org/10.1016/j.apsb.2017.10.002
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