A High Throughput Computational Analysis of Claudin Gene Family in Human Ovarian Cancer

Gene expression analysis is very instrumental in understanding the pathogenesis of the disease. To enhance the understanding of the molecular basis of the disease there is a need to extract the buried patterns in gene expression profiles. This paper is intended to provide a computational approach for the analysis of claudin gene family association with the pathogenesis of ovarian cancer. Our analysis verified some major members of claudin family as either up regulated or down regulated. It shows the differential expression of cldn3, cldn4 and cldn7 in ovarian cancer. In addition to that the up regulation of cldn16 and down regulation of cldn5 in human ovarian cancer has also been observed.