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Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomics

We provide detailed datasets from our analysis of proteins that are differentially expressed in gastric cancer tissues compared with adjacent normal gastric tissues, as identified by iTRAQ-based quantitative proteomics. Also included is a set of representative images of immunohistochemical staining...

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Detalles Bibliográficos
Autores principales: Jiang, Zhen, Shen, Hongchun, Tang, Bo, Chen, Hui, Yu, Qin, Ji, Xingli, Wang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288326/
https://www.ncbi.nlm.nih.gov/pubmed/28180141
http://dx.doi.org/10.1016/j.dib.2016.12.023
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author Jiang, Zhen
Shen, Hongchun
Tang, Bo
Chen, Hui
Yu, Qin
Ji, Xingli
Wang, Li
author_facet Jiang, Zhen
Shen, Hongchun
Tang, Bo
Chen, Hui
Yu, Qin
Ji, Xingli
Wang, Li
author_sort Jiang, Zhen
collection PubMed
description We provide detailed datasets from our analysis of proteins that are differentially expressed in gastric cancer tissues compared with adjacent normal gastric tissues, as identified by iTRAQ-based quantitative proteomics. Also included is a set of representative images of immunohistochemical staining of gastric cancer tissues showing four levels of expression of fatty acid binding protein (FABP1) and fatty acid synthase (FASN). The data presented in this paper support the research article “Quantitative proteomic analysis reveals that proteins required for fatty acid metabolism may serve as diagnostic markers for gastric cancer” (Jiang et al., 2017) [1]. We expect that the data will contribute to the identification of sensitive and specific biomarkers for early detection of gastric cancer.
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spelling pubmed-52883262017-02-08 Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomics Jiang, Zhen Shen, Hongchun Tang, Bo Chen, Hui Yu, Qin Ji, Xingli Wang, Li Data Brief Data Article We provide detailed datasets from our analysis of proteins that are differentially expressed in gastric cancer tissues compared with adjacent normal gastric tissues, as identified by iTRAQ-based quantitative proteomics. Also included is a set of representative images of immunohistochemical staining of gastric cancer tissues showing four levels of expression of fatty acid binding protein (FABP1) and fatty acid synthase (FASN). The data presented in this paper support the research article “Quantitative proteomic analysis reveals that proteins required for fatty acid metabolism may serve as diagnostic markers for gastric cancer” (Jiang et al., 2017) [1]. We expect that the data will contribute to the identification of sensitive and specific biomarkers for early detection of gastric cancer. Elsevier 2017-01-18 /pmc/articles/PMC5288326/ /pubmed/28180141 http://dx.doi.org/10.1016/j.dib.2016.12.023 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Jiang, Zhen
Shen, Hongchun
Tang, Bo
Chen, Hui
Yu, Qin
Ji, Xingli
Wang, Li
Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomics
title Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomics
title_full Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomics
title_fullStr Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomics
title_full_unstemmed Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomics
title_short Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomics
title_sort identification of diagnostic markers involved in the pathogenesis of gastric cancer through itraq-based quantitative proteomics
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288326/
https://www.ncbi.nlm.nih.gov/pubmed/28180141
http://dx.doi.org/10.1016/j.dib.2016.12.023
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