基础医学与临床 ›› 2015, Vol. 35 ›› Issue (6): 749-753.

• 研究论文 • 上一篇    下一篇

2型糖尿病相关基因的生物信息学分析

李中辉,郑文岭,马文丽   

  1. 南方医科大学基因工程研究所
  • 收稿日期:2014-10-23 修回日期:2014-12-28 出版日期:2015-06-05 发布日期:2015-05-27
  • 通讯作者: 马文丽 E-mail:wenli668@gmail.com
  • 基金资助:
    国家自然科学基金资助项目;广东省领军人才基金

Bioinformatic analysis of genes related to type 2 diabetes mellitus

  • Received:2014-10-23 Revised:2014-12-28 Online:2015-06-05 Published:2015-05-27
  • Supported by:
    Project supported by the National Natural Science Foundation

摘要: 目的 通过生物信息分析途径,从分子水平揭示2型糖尿病的发病机制,为2型糖尿病的研究提供新的思路。方法 从公共数据库GEO中下载2型糖尿病相关基因芯片数据,利用Qlucore Omics Explorer 3.0软件筛选差异表达基因,STRING、DAVID等在线分析工具对差异表达基因进行下一步的生物信息学分析。结果 共筛选出89个差异基因,其中表达上调67个,下调22个,这些差异表达基因主要涉及到氧化还原反应、葡萄糖代谢过程、磷酸化作用、细胞骨架蛋白结合、核苷酸结合等分子功能和生物学过程。通过STRING分析,发现9个基因处在核心节点位置。结论 通过生物信息学的方法分析得出CDK9、TXN,NDUFS8基因可能为潜在的治疗靶点,需要下一步的分子生物学实验证实。

关键词: 关键词:2型糖尿病, 骨骼肌, 生物信息学, 基因芯片

Abstract: Objective To investigate the genes associated with type 2 diabetes and explore the molecular mechanism of type 2 diabetes. Methods The microarray data of type 2 diabetes were downloaded from the Gene Expression Omnibus(GEO) database Qlucore Omics Explorer software was used to screen differentially expressed genes. The further analysis of differentially expressed genes were comducted by the on-line tools STRING, DAVID. Results Of all the 89 differentially expressed genes, 67 genes were of overexpression, 22 genes were underexpressed. These genes were involed in the biological process and molecular function of oxidation reduction, glucose metabolic process, phosphorylation, cytoskeletal protein binding, nucleotide binding. Conclusion We demonstrate that CDK9, TXN and NDUFS8 may be the potential therapeutic targets through the bioinformatic analysis, which needs a further study together with molecular experiments.

Key words: Key words: type 2 diabetes, skeletal muscle, bioinformatic, gene microarray

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