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...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2017-04-01
|
Series: | Data in Brief |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340916307843 |
id |
doaj-31e23356759b4578905bbab87f6d1db2 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT zhenjiang identificationofdiagnosticmarkersinvolvedinthepathogenesisofgastriccancerthroughitraqbasedquantitativeproteomics AT hongchunshen identificationofdiagnosticmarkersinvolvedinthepathogenesisofgastriccancerthroughitraqbasedquantitativeproteomics AT botang identificationofdiagnosticmarkersinvolvedinthepathogenesisofgastriccancerthroughitraqbasedquantitativeproteomics AT huichen identificationofdiagnosticmarkersinvolvedinthepathogenesisofgastriccancerthroughitraqbasedquantitativeproteomics AT qinyu identificationofdiagnosticmarkersinvolvedinthepathogenesisofgastriccancerthroughitraqbasedquantitativeproteomics AT xingliji identificationofdiagnosticmarkersinvolvedinthepathogenesisofgastriccancerthroughitraqbasedquantitativeproteomics AT liwang identificationofdiagnosticmarkersinvolvedinthepathogenesisofgastriccancerthroughitraqbasedquantitativeproteomics |
_version_ |
1724910340840357888 |