Basic & Clinical Medicine ›› 2015, Vol. 35 ›› Issue (6): 749-753.

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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

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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