基础医学与临床 ›› 2016, Vol. 36 ›› Issue (9): 1262-1267.

• 研究论文 • 上一篇    下一篇

永久性房颤的转录组分析及miRNA调控网络的建立

高杰,周建,顾松,刘岩,安向光,张希涛,苏丕雄   

  1. 首都医科大学附属北京朝阳医院
  • 收稿日期:2015-10-08 修回日期:2015-12-05 出版日期:2016-09-05 发布日期:2016-08-30
  • 通讯作者: 苏丕雄 E-mail:supixiong1130@163.com
  • 基金资助:
    北京市教育委员会科技计划面上项目

Permanent atrial fibrillation related transcriptome profiling and the establishment of miRNA regulatory network

  • Received:2015-10-08 Revised:2015-12-05 Online:2016-09-05 Published:2016-08-30

摘要: 目的 探索永久性房颤(pAF)发病相关的关键miRNAs及其调控的靶基因。方法 联合应用表达谱芯片和miRNA芯片分析pAF患者(n=7)和健康成人(n=4)的左房组织,筛选pAF相关差异表达的miRNAs,进行靶基因预测后,与表达谱芯片的筛选结果进行负相关分析后的基因集合进行显著性功能分析(GO-analysis);利用miRNA与靶基因之间的靶向调控关系,构建差异miRNA与交集靶基因的调控网络(miRNA-gene-network),得到网络中起核心调控作用的miRNA和被调控的关键靶基因;采用qRT-PCR方法检验另一组pAF患者(n=5)和健康成人(n=4)的左房组织标本。结果 表达谱基因芯片发现610个mRNA有显著性改变(fold change>2,P<0.05),miRNA-靶基因调节网络发现与pAF显著相关的20个miRNAs和107个靶基因,相关度最高的是miR-144、miR-1284、 miR-1827、miR-1、 miR-3613-3p 和miR-101;其调控的重要靶基因包括CACNB2、EFNB1、PTEN、TAOK1、RUNX1和TPM3等;qRT-PCR验证结果显示这些miRNAs和靶基因密切相关。结论 通过表达谱基因芯片与miRNAs芯片联合分析pAF左房组织标本,构建miRNA调控网络,发现pAF重要的miRNA-靶基因调控及功能,结果更加准确。

关键词: 永久性房颤, microRNA, mRNA, 靶基因, 网络调控

Abstract: Objectives: To screen for the atrial fibrillation related miRNAs and their target gene. to research the pathogenesis of permanent AF. Methods: Left atrium miRNA and mRNA profiling in patients with permanent AF (n=7) were compared with healthy heart donors in sinus rhythm (n=4) using microarrays. By predicting potential miRNA targets and making negative correlation analysis with differentially expressed mRNA, miRNA-target gene regulatory network was established. and key miRNA their target genes related with permanent AF were found, and qRT-PCR analysis were used to validated the expression of key miRNAs and gene in the network in another cohort. Bioinformatics analyses were performed to understanding the global regulating roles of miRNAs-gene network. Results: 610 mRNAs (fold change>2, P<0.05) were shown to be significantly changed in permanent AF patients compared with healthy controls. The target prediction and negative correlations analyses with the mRNA array have identified 20 dysregulated miRNAs and their 107 target genes. The corresponding miRNA-gene regulatory network were established. The miRNAs including miR-144, miR-1284, miR-1827, miR-1, miR-3613-3p and miR-101 and target genes containing CACNB2, EFNB1, PTEN, TAOK1, RUNX1 and TPM3 were found to be in the central part of the network.Some of their expression were further verified by qRT-PCR analysis on another cohort. Conclusions: Through the analysis of gene expression profile chip and miRNAs chip joint small sample of pAF left atrial tissue samples, establishing the miRNA-gene network, found that the pathogenesis of pAF important micrornas - target gene regulation and function, the result is more accurate.

Key words: atrial fibrillation, microRNA, mRNA, target gene, network