Abstract: Objective Studying the gender differences showing in the genes expression of obesity by bioinformatics methods . Methods The gene expression profiles downloading from Gene Expression Omnibus were analysis by Qlucore Omics Explorer and DAVID ,then the protein-protein interaction network was built by the data extracted from the data set Molecular INTeraction database (MINT). Results There were 99 different expression genes up-regulated and 79 genes down-regulated in obese female while the number of obese male group were 39 and 23. The GO terms were found to be more complex in the obese female group. And there was also a discrepancy between the hub-nodes of protein-protein interaction networks of female and male groups in which FYN and PDIA3 were important for each group. Conclusion Our studies indicated that the different profiling of the gene expression may lead to the different mechanisms of obesity in different gender. And the two genes, FYN and PDIA3, may have the importance for the next study.

Key words: Obesity, gender, Protein-protein interaction network, bioinformatics