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Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis
Gastric cancer (GC) has significant morbidity and mortality worldwide and especially in China. Its molecular pathogenesis has not been thoroughly elaborated. The acknowledged biomarkers for diagnosis, prognosis, recurrence monitoring and treatment are lacking. Proteins from matched pairs of human GC...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4730314/ https://www.ncbi.nlm.nih.gov/pubmed/26805816 http://dx.doi.org/10.3390/ijms17010069 |
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author | Dai, Peng Wang, Qin Wang, Weihua Jing, Ruirui Wang, Wei Wang, Fengqin Azadzoi, Kazem M. Yang, Jing-Hua Yan, Zhen |
author_facet | Dai, Peng Wang, Qin Wang, Weihua Jing, Ruirui Wang, Wei Wang, Fengqin Azadzoi, Kazem M. Yang, Jing-Hua Yan, Zhen |
author_sort | Dai, Peng |
collection | PubMed |
description | Gastric cancer (GC) has significant morbidity and mortality worldwide and especially in China. Its molecular pathogenesis has not been thoroughly elaborated. The acknowledged biomarkers for diagnosis, prognosis, recurrence monitoring and treatment are lacking. Proteins from matched pairs of human GC and adjacent tissues were analyzed by a coupled label-free Mass Spectrometry (MS) approach, followed by functional annotation with software analysis. Nano-LC-MS/MS, quantitative real-time polymerase chain reaction (qRT-PCR), western blot and immunohistochemistry were used to validate dysregulated proteins. One hundred forty-six dysregulated proteins with more than twofold expressions were quantified, 22 of which were first reported to be relevant with GC. Most of them were involved in cancers and gastrointestinal disease. The expression of a panel of four upregulated nucleic acid binding proteins, heterogeneous nuclear ribonucleoprotein hnRNPA2B1, hnRNPD, hnRNPL and Y-box binding protein 1 (YBX-1) were validated by Nano-LC-MS/MS, qRT-PCR, western blot and immunohistochemistry assays in ten GC patients’ tissues. They were located in the keynotes of a predicted interaction network and might play important roles in abnormal cell growth. The label-free quantitative proteomic approach provides a deeper understanding and novel insight into GC-related molecular changes and possible mechanisms. It also provides some potential biomarkers for clinical diagnosis. |
format | Online Article Text |
id | pubmed-4730314 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-47303142016-02-11 Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis Dai, Peng Wang, Qin Wang, Weihua Jing, Ruirui Wang, Wei Wang, Fengqin Azadzoi, Kazem M. Yang, Jing-Hua Yan, Zhen Int J Mol Sci Article Gastric cancer (GC) has significant morbidity and mortality worldwide and especially in China. Its molecular pathogenesis has not been thoroughly elaborated. The acknowledged biomarkers for diagnosis, prognosis, recurrence monitoring and treatment are lacking. Proteins from matched pairs of human GC and adjacent tissues were analyzed by a coupled label-free Mass Spectrometry (MS) approach, followed by functional annotation with software analysis. Nano-LC-MS/MS, quantitative real-time polymerase chain reaction (qRT-PCR), western blot and immunohistochemistry were used to validate dysregulated proteins. One hundred forty-six dysregulated proteins with more than twofold expressions were quantified, 22 of which were first reported to be relevant with GC. Most of them were involved in cancers and gastrointestinal disease. The expression of a panel of four upregulated nucleic acid binding proteins, heterogeneous nuclear ribonucleoprotein hnRNPA2B1, hnRNPD, hnRNPL and Y-box binding protein 1 (YBX-1) were validated by Nano-LC-MS/MS, qRT-PCR, western blot and immunohistochemistry assays in ten GC patients’ tissues. They were located in the keynotes of a predicted interaction network and might play important roles in abnormal cell growth. The label-free quantitative proteomic approach provides a deeper understanding and novel insight into GC-related molecular changes and possible mechanisms. It also provides some potential biomarkers for clinical diagnosis. MDPI 2016-01-21 /pmc/articles/PMC4730314/ /pubmed/26805816 http://dx.doi.org/10.3390/ijms17010069 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dai, Peng Wang, Qin Wang, Weihua Jing, Ruirui Wang, Wei Wang, Fengqin Azadzoi, Kazem M. Yang, Jing-Hua Yan, Zhen Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis |
title | Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis |
title_full | Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis |
title_fullStr | Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis |
title_full_unstemmed | Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis |
title_short | Unraveling Molecular Differences of Gastric Cancer by Label-Free Quantitative Proteomics Analysis |
title_sort | unraveling molecular differences of gastric cancer by label-free quantitative proteomics analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4730314/ https://www.ncbi.nlm.nih.gov/pubmed/26805816 http://dx.doi.org/10.3390/ijms17010069 |
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