Identification of transcription factor and microRNA binding sites in responsible to fetal alcohol syndrome

Guohua Wang, Xin Wang, Yadong Wang, Jack Y. Yang, Lang Li, Kenneth P. Nephew, Howard J. Edenberg, Feng C. Zhou, Yunlong Liu

Research output: Contribution to journalArticle

21 Scopus citations

Abstract

This is a first report, using our MotifModeler informatics program, to simultaneously identify transcription factor (TF) and microRNA (miRNA) binding sites from gene expression microarray data. Based on the assumption that gene expression is controlled by combinatorial effects of transcription factors binding in the 5′-upstream regulatory region and miRNAs binding in the 3′-untranslated region (3′-UTR), we developed a model for (1) predicting the most influential cis-acting elements under a given biological condition, and (2) estimating the effects of those elements on gene expression levels. The regulatory regions, TF and miRNA, which mediate the differential genes expression in fetal alcohol syndrome were unknown; microarray data from alcohol exposure paradigm was used. The model predicted strong inhibitory effects of 5′ cis-acting elements and stimulatory effects of 3′-UTR under alcohol treatment. Current predictive model derived a key hypothesis for the first time a novel role of miRNAs in gene expression changes associated with abnormal mouse embryo development after alcohol exposure. This suggests that disturbance of miRNA functions may contribute to the alcohol-induced developmental deficiencies.

Original languageEnglish (US)
Article numberS19
JournalBMC genomics
Volume9
Issue numberSUPPL. 1
DOIs
StatePublished - Mar 20 2008

ASJC Scopus subject areas

  • Biotechnology
  • Genetics

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