AAS ›› 2015, Vol. 46 ›› Issue (2): 190-195.doi: 10.16098/j.issn.0529-1356.2015.02.008

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Bioinformatic analysis of genes related to sleep deprivation

OUYANG Jing-liang ZHENG Wen-ling MA Wen-li*   

  1. Institute of genetic engineering, SouthernMedical University, Guangzhou 510515, China
  • Received:2014-10-08 Revised:2015-01-14 Online:2015-04-06 Published:2015-04-06
  • Contact: MA Wen-li E-mail:wenli668@gmail.com

Abstract:

Objective To investigate the genes associated with sleep deprivation of hippocampus of the mouse and explore the molecular mechanism of sleep. Methods The microarray data of sleep deprivation was downloaded from the Gene Expression Omnibus (GEO) database and analyzed by bioinformatics methods using the software of Qlucore Omics Explorer(QOE) 3.0, and the database of String and Panther. Results Of the 101 differentially expressed genes, 45 were found to encode proteins with interactions; the main biological signaling pathways involved included gonadotropin-releasing hormone receptor pathway, adrenaline and noradrenaline biosynthesis, apoptosis signaling pathway, huntington disease and parkinson disease etc. The main biological process involved included metabolic process, cellular process, biological, development process, localization, immune system process and apoptotic process etc. Conclusion The pathogenesis of sleep deprivation involves multiple genes, and investigations of these genes may provide valuable insights into the mechanism of sleep deprivation.

Key words: Sleep deprivation, Bioinformatics, Differentially expressed genes, DNA microarray, Mouse