Identification of novel 17\-estradiol (E2) target genes using cross-experiment gene expression datasets
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17β-estradiol (E2) is an environmental estrogen-like chemicals that is known to affect mainly reproductive functions of exposed targets. Although microarray based toxicogenomics approach allows the investigation of the potential risks of E2 in DNA level, the underling mechanisms related to their toxic effect is not fully understood. In this work, we identified genes responding toE2 by analyzing cross-experiment public gene expression datasets that studied on E2 using RankProd algorithm. We have identified 348 DEGs which play important roles in fatty acid metabolism, infection, and DNA repair. This result was also compared with conventional PubMed data mining analysis.
Keywords17β-estradiol E2 Cross-experiment Rank-Prod Algorithm Risk assessment DNA microarray Cross-experiment in-silico analysis
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