Gene Network Analysis and Application

Abstract

In the post-genome era, with the availability of high-throughput data, our biological focus makes a shift from a behavior of individual components to their regulatory/causative/interactive relationships. Gene network, which is inferred from microarray data by using reverse engineering algorithms, gives valuable information about the regulation of genes in the living cells under the certain conditions. In particular, this technology is applied to the biomedical research fields, e.g. identification of drug targets and prognosis markers. In this short review, we summarize what gene network is and how it is inferred. We also show our work that identified new drug target of well-known compound in human endothelial cells by gene network analysis. [ABSTRACT FROM AUTHOR] Copyright of Seibutsu Butsuri is the property of Biophysical Society of Japan and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)