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胃癌组织miRNA差异表达的初步分析
引用本文:阳圣,张雯,杨燕青,张小燕,郜恒骏,张庆华.胃癌组织miRNA差异表达的初步分析[J].上海交通大学学报(医学版),2010,30(11):1317-1323.
作者姓名:阳圣  张雯  杨燕青  张小燕  郜恒骏  张庆华
作者单位: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;生物芯片上海国家工程研究中心,上海201203
2. 生物芯片上海国家工程研究中心,上海,201203
3. 生物芯片上海国家工程研究中心,上海201203;同济大学,消化系统疾病研究所,上海200065
基金项目:国家重点基础研究发展计划("973"计划),上海市科技发展基金
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-TimePCR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-TimePCR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

Preliminary analysis of miRNA expression profile of gastric cancer tissues
YANG Sheng,ZHANG Wen,YANG Yan-qing,ZHANG Xiao-yan,GAO Heng-jun,ZHANG Qing-hua.Preliminary analysis of miRNA expression profile of gastric cancer tissues[J].Journal of Shanghai Jiaotong University:Medical Science,2010,30(11):1317-1323.
Authors:YANG Sheng  ZHANG Wen  YANG Yan-qing  ZHANG Xiao-yan  GAO Heng-jun  ZHANG Qing-hua
Institution: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
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.
Keywords:microRNA  expression profile  gastric cancer  microarray  Real-Time PCR
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