Computational identification of hepatitis C virus associated microRNA-mRNA regulatory modules in human livers.

ABSTRACT:

Background

Hepatitis C virus (HCV) is a major cause of chronic liver disease by infecting over 170 million people worldwide. Recent studies have shown that microRNAs (miRNAs), a class of small non-coding regulatory RNAs, are involved in the regulation of HCV infection, but their functions have not been systematically studied. We propose an integrative strategy for identifying the miRNA-mRNA regulatory modules that are associated with HCV infection. This strategy combines paired expression profiles of miRNAs and mRNAs and computational target predictions. A miRNA-mRNA regulatory module consists of a set of miRNAs and their targets, in which the miRNAs are predicted to coordinately regulate the level of the target mRNA.

Results

We simultaneously profiled the expression of cell

SUBMITTER: Peng X 

PROVIDER: S-EPMC2907698 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature