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通过基于iTRAQ的定量蛋白质组学鉴定参与胃癌发病机制的诊断标志物。

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

作者信息

Jiang Zhen, Shen Hongchun, Tang Bo, Chen Hui, Yu Qin, Ji Xingli, Wang Li

机构信息

Department of Biochemistry, School of Preclinical Medicine, North Sichuan Medical College, Nanchong, Sichuan Province 637100, PR China.

College of Integrated Chinese and Western Medicine, Southwest Medical University, Luzhou, Sichuan Province 646000, PR China.

出版信息

Data Brief. 2017 Jan 18;11:122-126. doi: 10.1016/j.dib.2016.12.023. eCollection 2017 Apr.

Abstract

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.

摘要

我们提供了基于iTRAQ的定量蛋白质组学分析得出的详细数据集,这些数据集来自于对胃癌组织与相邻正常胃组织中差异表达蛋白质的分析。其中还包括一组胃癌组织免疫组化染色的代表性图像,显示了脂肪酸结合蛋白(FABP1)和脂肪酸合酶(FASN)的四种表达水平。本文所呈现的数据支持了研究论文《定量蛋白质组学分析揭示脂肪酸代谢所需蛋白质可能作为胃癌的诊断标志物》(Jiang等人,2017年)[1]。我们期望这些数据将有助于识别用于早期检测胃癌的敏感和特异生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e1/5288326/c9ad05ff8d7d/gr1.jpg

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