上海交通大学学报（医学版）

›› 2010, Vol. 30 ›› Issue (11): 1317-.doi: 10.3969/j.issn.1674-8115.2010.11.001

• 论著（基础研究） • 上一篇    下一篇

胃癌组织miRNA差异表达的初步分析

阳 圣1,2, 张 雯2, 杨燕青2, 张小燕2, 郜恒骏2,3, 张庆华1,2   

  1. 1.上海交通大学 |医学院附属瑞金医院医学基因组学国家重点实验室, 上海 200025；2.生物芯片上海国家工程研究中心, 上海 201203； 3.同济大学 消化系统疾病研究所, 上海 200065
  • 出版日期:2010-11-25 发布日期:2010-11-29
  • 通讯作者: 张庆华, 电子信箱: qinghua_zhang@shbiochip.com。
  • 作者简介:阳 圣（1984—）, 男, 硕士生；电子信箱: yangsheng@shbiochip.com。
  • 基金资助:

    国家重点基础研究发展计划（“973”计划）（2006CB910402）和上海市科技发展基金（07QB14037）

Preliminary analysis of miRNA expression profile of gastric cancer tissues

YANG Sheng1,2, ZHANG Wen2, YANG Yan-qing2, ZHANG Xiao-yan2, GAO Heng-jun2,3, ZHANG Qing-hua1,2   

  1. 1.State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China；2.National Engineering Research Center for Biochip at Shanghai, Shanghai 201203, China；3.Institute of Digestive Systems Diseases, Tongji University, Shanghai 200065, China
  • Online:2010-11-25 Published:2010-11-29
  • Supported by:

    National Basic Research Program of China, 973 Program, 2006CB910402；Shanghai Science and Technology Committee Foundation, 07QB14037

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摘要：

目的 分析胃癌组织特异性微小RNA（miRNA）表达谱，为深入研究miRNA与胃癌发生和发展的关系以及寻找新的胃癌分子标志物奠定基础。方法 利用miRNA芯片就21对胃癌和癌旁配对正常组织的miRNA表达谱进行检测和初步生物信息学分析，Real-Time PCR验证miRNA芯片检测结果。结果 miRNA芯片检测发现，在胃癌及其癌旁配对正常组织中共有88个差异表达miRNA，其中上调最明显的是miR-21、miR-196b、miR-301a、miR-431*、miR-550*、miR-18a和miR-135b；下调最明显的是miR-139-3p、miR-628-3p、miR-596、miR-99b*和miR-638。Real-Time PCR对其中2个上调（miR-181、miR-19b）和2个下调（miR-134、miR-31）miRNA的验证结果与芯片检测所示具有较好的一致性。结论 胃癌组织具有特异性的miRNA表达谱，这些差异表达的miRNA有可能成为新的胃癌分子标志物。

关键词: 微小RNA, 表达谱, 胃癌, 基因芯片, Real-Time PCR

Abstract:

Objective To analyse the expression profile of specific microRNA (miRNA) of gastric cancer tissues. Methods miRNA microarrays were employed to detect the expression profile of miRNA of 21 paired gastric cancer tissues and corresponding paracancerous normal tissues, and preliminary bioinformatic analyses were conducted. The microarray results were validated by Real-Time PCR. Results It was revealed by miRNA microarray detection that there were 88 miRNA with differential expression in gastric cancer tissues and paracancerous normal tissues, among which miR-21, miR-196b, miR-301a, miR-431*, miR-550*, miR-18a and miR-135b were significantly up-regulated, and miR-139-3p, miR-628-3p, miR-596, miR-99b* and miR-638 were significantly down-regulated. The findings of RT-PCR on 4 miRNA (miR-181 and miR-19b of up-regulation and miR-134 and miR-31 of down-regulation) were in high concordance with microarray results. Conclusion There is specific miRNA expression profile of gastric cancer tissues, and these differentially expressed miRNA may serve as new biomarkers of gastric cancer.

Key words: microRNA, expression profile, gastric cancer, microarray, Real-Time PCR