Mining the Bioinformation of Differentially Expressed Genes in Obese Mice Treated with Chronic Intermittent Hypoxia based on the Bioinformatics Methods

摘要

Objective: To analyze the differentially expressed genes expressed genes in obese mice that treated with chronic intermittent hypoxia (CIH) for getting better understanding of the molecular characteristics in the obese mice caused by CIH. Methods: Got the microarray hybridization data from the Gene Expression Omnibus (GEO) database. Identified the differentially expressed genes expressed genes in CIH obese mice and the patterns of their regulation using public bioinformatics software and database, such as BRB-Arraytools, Genecodis and DAVID, KEGG. Results and Conclusion: We found the Peroxisome proliferator activated receptors (PPARs) pathway involved in the down-regulated genes. These data mining findings between room air and CIH mice by bioinformatics methods could provide better understanding of the molecular activity change in obese caused by CIH.