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iTRAQ Quantitative Analysis of Multidrug Resistance Mechanisms in Human Gastric Cancer Cells
Multidrug resistance (MDR) is a major obstacle towards a successful treatment of gastric cancer. However, the mechanisms of MDR are intricate and have not been fully understood. To elucidate the molecular mechanisms of MDR in gastric cancer, we employed the proteomic approach of isobaric tags for re...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896698/ https://www.ncbi.nlm.nih.gov/pubmed/20625496 http://dx.doi.org/10.1155/2010/571343 |
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author | Hu, Huai-Dong Ye, Feng Zhang, Da-Zhi Hu, Peng Ren, Hong Li, Sang-Lin |
author_facet | Hu, Huai-Dong Ye, Feng Zhang, Da-Zhi Hu, Peng Ren, Hong Li, Sang-Lin |
author_sort | Hu, Huai-Dong |
collection | PubMed |
description | Multidrug resistance (MDR) is a major obstacle towards a successful treatment of gastric cancer. However, the mechanisms of MDR are intricate and have not been fully understood. To elucidate the molecular mechanisms of MDR in gastric cancer, we employed the proteomic approach of isobaric tags for relative and absolute quantification (iTRAQ), followed by LC-MS/MS, using the vincristine-resistant SGC7901/VCR cell line and its parental SGC7901 cell line as a model. In total, 820 unique proteins were identified and 91 proteins showed to be differentially expressed in SGC7901/VCR compared with SGC7901. Several differentially expressed proteins were further validated by western blot analysis. Furthermore, the association of MVP, one of the highly expressed proteins in SGC7901/VCR, with MDR was verified. Our study is the first application of iTRAQ technology for MDR mechanisms analysis in gastric cancer, and many of the differentially expressed proteins identified have not been linked to MDR in gastric cancer before, which showed the value of this technology in identifying differentially expressed proteins in cancer. |
format | Text |
id | pubmed-2896698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-28966982010-07-12 iTRAQ Quantitative Analysis of Multidrug Resistance Mechanisms in Human Gastric Cancer Cells Hu, Huai-Dong Ye, Feng Zhang, Da-Zhi Hu, Peng Ren, Hong Li, Sang-Lin J Biomed Biotechnol Research Article Multidrug resistance (MDR) is a major obstacle towards a successful treatment of gastric cancer. However, the mechanisms of MDR are intricate and have not been fully understood. To elucidate the molecular mechanisms of MDR in gastric cancer, we employed the proteomic approach of isobaric tags for relative and absolute quantification (iTRAQ), followed by LC-MS/MS, using the vincristine-resistant SGC7901/VCR cell line and its parental SGC7901 cell line as a model. In total, 820 unique proteins were identified and 91 proteins showed to be differentially expressed in SGC7901/VCR compared with SGC7901. Several differentially expressed proteins were further validated by western blot analysis. Furthermore, the association of MVP, one of the highly expressed proteins in SGC7901/VCR, with MDR was verified. Our study is the first application of iTRAQ technology for MDR mechanisms analysis in gastric cancer, and many of the differentially expressed proteins identified have not been linked to MDR in gastric cancer before, which showed the value of this technology in identifying differentially expressed proteins in cancer. Hindawi Publishing Corporation 2010 2010-06-06 /pmc/articles/PMC2896698/ /pubmed/20625496 http://dx.doi.org/10.1155/2010/571343 Text en Copyright © 2010 Huai-Dong Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Hu, Huai-Dong Ye, Feng Zhang, Da-Zhi Hu, Peng Ren, Hong Li, Sang-Lin iTRAQ Quantitative Analysis of Multidrug Resistance Mechanisms in Human Gastric Cancer Cells |
title | iTRAQ Quantitative Analysis of Multidrug Resistance Mechanisms in Human Gastric Cancer Cells |
title_full | iTRAQ Quantitative Analysis of Multidrug Resistance Mechanisms in Human Gastric Cancer Cells |
title_fullStr | iTRAQ Quantitative Analysis of Multidrug Resistance Mechanisms in Human Gastric Cancer Cells |
title_full_unstemmed | iTRAQ Quantitative Analysis of Multidrug Resistance Mechanisms in Human Gastric Cancer Cells |
title_short | iTRAQ Quantitative Analysis of Multidrug Resistance Mechanisms in Human Gastric Cancer Cells |
title_sort | itraq quantitative analysis of multidrug resistance mechanisms in human gastric cancer cells |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896698/ https://www.ncbi.nlm.nih.gov/pubmed/20625496 http://dx.doi.org/10.1155/2010/571343 |
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