文章摘要
陈章乾1 金杨晟2 吴庆2 郑龙庆3 樊代明1△.胃癌多药耐药相关microRNA的筛选和鉴定*[J].,2014,14(17):3201-3205
胃癌多药耐药相关microRNA的筛选和鉴定*
Identification of Multidrug Resistance Associated microRNAin Gastric Cancer*
  
DOI:
中文关键词: 胃癌  多药耐药  microRNA  表达谱分析
英文关键词: Gastric cancer  Multidrug resistance  MicroRNA  Expression profiling
基金项目:国家自然科学基金重点项目“microRNA及其相关分子调控网络在胃癌 多药耐药中的作用和机制研究”(81030044)
作者单位
陈章乾1 金杨晟2 吴庆2 郑龙庆3 樊代明1△ 1第四军医大学西京消化病医院陕西西安7100322上海吉凯基因化学技术有限公司生物信息学部上海201203
3 沈阳军区总医院北陵临床部辽宁沈阳110031
 
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中文摘要:
      摘要目的:研究胃癌多药耐药相关microRNA 并对其进行鉴定、靶基因预测和预测靶基因的生物信息学分析。方法:运用microRNA 芯片对胃癌多药耐药细胞SGC7901/ADR 和其亲本细胞SGC7901进行microRNA 表达谱分析;采用实时定量PCR的方法 对差异表达的miRNA进行验证;再运用生物信息学方法对差异表达的miRNA进行靶基因预测;再对预测的靶基因进行GO 和 KEGG 通路分析。结果:与SGC7901相比SGC7901/ADR 表达上调超过2 倍的miRNA有6 个,表达下调超过2 倍的有11 个。实 时定量PCR 对共同差异表达的microRNA 进行验证显示与芯片结果的一致性。对这17个差异表达的miRNA 进行靶基因预测, 再对预测得到的靶基因进行GO 和KEGG 通路分析显示预测的靶基因参与了肿瘤相关通路、MAPK 通路、Focal Adhesion 通路 等。结论:我们初步筛选得到了胃癌多药耐药相关miRNA 并对其进行了生物信息学分析,为进一步地探索miRNA 在胃癌多药耐 药中的作用及其分子机制奠定了基础。
英文摘要:
      ABSTRACT Objective:To investigate the microRNAs associated with multidrug resistance in gastric cancer and analyze the predicted target genes of the multidrug resistance associated miRNAs. Methods:microRNA expression profiling of multidrug resistant gastric cancer subline SGC7901/ADR and its parental SGC7901 were detected by using the latest microRNA microarray. Quantitative RT-PCR was used to validate the differentially expressed miRNAs between SGC7901/ADR and SGC7901. Then target prediction were performed on the differentially expressed miRNAs, followed by GO and KEGG pathway analyses of the predicted target genes. Results:The total of 6 miRNAs up-regulated in SGC7901/ADR cells compared with SGC7901 and 11 miRNAs down-regulated in SGC7901/ADR cells compared with SGC7901. Quantitative RT-PCR results displayed a good response to the results of the microRNA array. And KEGG pathway analysis of the predicted target genes showed that pathway in cancer, MAPK signaling pathway and Focal adhesion were enriched pathways. Conclusion:A list of multidrug resistance associated miRNAs in gastric cancer was obtained and bioinformatics analyses were performed on them. The results above should be the foundation for more profound mechanismresearch.
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