Prediction of therapeutic microRNA based on the human metabolic network.

ABSTRACT:

Motivation

MicroRNA (miRNA) expression has been found to be deregulated in human cancer, contributing, in part, to the interest of the research community in using miRNAs as alternative therapeutic targets. Although miRNAs could be potential targets, identifying which miRNAs to target for a particular type of cancer has been difficult due to the limited knowledge on their regulatory roles in cancer. We address this challenge by integrating miRNA-target prediction, metabolic modeling and context-specific gene expression data to predict therapeutic miRNAs that could reduce the growth of cancer.

Results

We developed a novel approach to simulate a condition-specific metabolic system for human hepatocellular carcinoma (HCC) wherein overexpression of each miRNA was simulated to pre

SUBMITTER: Wu M 

PROVIDER: S-EPMC3982155 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature