2型糖尿病相关基因的生物信息学分析

Bioinformatic analysis of genes related to type 2 diabetes mellitus

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。

Objective To investigate the genes associated with type 2 diabetes and to 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 and 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 involved in the biological process and molecular function of oxidation reduction,glucose metabolic process,phosphorylation,cytoskeletal protein binding,nucleotide binding.Conclusions CDK9,TXN and NDUFS8 may be a potential therapeutic target through the bioinformatic analysis,which needs a further study together with molecular experiments.