Title :
Gene sets enrichment analysis of miRNA expression profile
Author :
Hsiao, Tzu-Hung ; Chen, Hung-I Harry ; Sanchez-Diaz, Patricia C. ; Hung, Jaclyn Y. ; Chen, Yidong ; Huang, Yufei
Author_Institution :
Greehey Children´´s Cancer Res. Inst., Univ. of Texas, San Antonio, TX, USA
Abstract :
Alteration in expression levels of genes as well as their regulatory components, such as those levels of miRNAs in cancer cells will likely reflect in the enrichment of unique cellular functions and biological processes in their corresponding cell systems. By employing systems biology approaches, and instead of examining individual gene, we will directly and unambiguously identify the regulatory pathways and biological processes that are distinctive to specific disease states or responses to therapeutic treatment. In this study, we employ gene set enrichment analysis inspired method to explore the functional regulation of miRNAs. The analysis integrated a mathematic model that associates miRNAs to gene sets through miRNA target genes with a statistic test of enrichment to study the regulation change at a specific pathway. Different from conventional individual miRNA processing procedures, our method enables researchers to construct regulation hypothesis at pathway and functional levels.
Keywords :
DNA; bioinformatics; cancer; cellular biophysics; genetic algorithms; medical computing; molecular biophysics; statistical analysis; biological processes; cancer cells; cellular functions; construct regulation hypothesis; disease states; functional level; gene set enrichment analysis; mathematic model; miRNA expression profile; pathway level; regulatory pathways; therapeutic treatment; Biological processes; Cancer; Gene expression; Humans; Proteins; Tumors; gene regulation; miRNA; pathway analysis;
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4577-1612-6
DOI :
10.1109/BIBMW.2011.6112413