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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Main Authors: Zhen Jiang, Hongchun Shen, Bo Tang, Hui Chen, Qin Yu, Xingli Ji, Li Wang
Format: Article
Language:English
Published: Elsevier 2017-04-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340916307843
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spelling doaj-31e23356759b4578905bbab87f6d1db22020-11-25T02:12:16ZengElsevierData in Brief2352-34092017-04-0111C12212610.1016/j.dib.2016.12.023Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomicsZhen Jiang0Hongchun Shen1Bo Tang2Hui Chen3Qin Yu4Xingli Ji5Li Wang6Department of Biochemistry, School of Preclinical Medicine, North Sichuan Medical College, Nanchong, Sichuan Province 637100, PR ChinaCollege of Integrated Chinese and Western Medicine, Southwest Medical University, Luzhou, Sichuan Province 646000, PR ChinaDepartment of Pathology, Affiliated Traditional Medicine Hospital, Southwest Medical University, Luzhou, Sichuan 646000, PR ChinaDepartment of Biochemistry, School of Preclinical Medicine, North Sichuan Medical College, Nanchong, Sichuan Province 637100, PR ChinaResearch Center of Combine Traditional Chinese and Western Medicine, Affiliated Traditional Medicine Hospital, Southwest Medical University, Luzhou, Sichuan 646000, PR ChinaResearch Center of Combine Traditional Chinese and Western Medicine, Affiliated Traditional Medicine Hospital, Southwest Medical University, Luzhou, Sichuan 646000, PR ChinaResearch Center of Combine Traditional Chinese and Western Medicine, Affiliated Traditional Medicine Hospital, Southwest Medical University, Luzhou, Sichuan 646000, PR ChinaWe 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.http://www.sciencedirect.com/science/article/pii/S2352340916307843
collection DOAJ
language English
format Article
sources DOAJ
author Zhen Jiang
Hongchun Shen
Bo Tang
Hui Chen
Qin Yu
Xingli Ji
Li Wang
spellingShingle Zhen Jiang
Hongchun Shen
Bo Tang
Hui Chen
Qin Yu
Xingli Ji
Li Wang
Identification of diagnostic markers involved in the pathogenesis of gastric cancer through iTRAQ-based quantitative proteomics
Data in Brief
author_facet Zhen Jiang
Hongchun Shen
Bo Tang
Hui Chen
Qin Yu
Xingli Ji
Li Wang
author_sort Zhen Jiang
title 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_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_sort identification of diagnostic markers involved in the pathogenesis of gastric cancer through itraq-based quantitative proteomics
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2017-04-01
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.
url http://www.sciencedirect.com/science/article/pii/S2352340916307843
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