Prediction of miRNA-mRNA associations in Alzheimer's disease mice using network topology.

ABSTRACT:

Background

Little is known about the relationship between miRNA and mRNA expression in Alzheimer's disease (AD) at early- or late-symptomatic stages. Sequence-based target prediction algorithms and anti-correlation profiles have been applied to predict miRNA targets using omics data, but this approach often leads to false positive predictions. Here, we applied the joint profiling analysis of mRNA and miRNA expression levels to Tg6799 AD model mice at 4 and 8 months of age using a network topology-based method. We constructed gene regulatory networks and used the PageRank algorithm to predict significant interactions between miRNA and mRNA.

Results

In total, 8 cluster modules were predicted by the transcriptome data for co-expression networks of AD pathology. In total, 54 miR

SUBMITTER: Noh H 

PROVIDER: S-EPMC4132902 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature