Systems analysis identifies miR-29b regulation of invasiveness in melanoma.

ABSTRACT:

Background

In many cancers, microRNAs (miRs) contribute to metastatic progression by modulating phenotypic reprogramming processes such as epithelial-mesenchymal plasticity. This can be driven by miRs targeting multiple mRNA transcripts, inducing regulated changes across large sets of genes. The miR-target databases TargetScan and DIANA-microT predict putative relationships by examining sequence complementarity between miRs and mRNAs. However, it remains a challenge to identify which miR-mRNA interactions are active at endogenous expression levels, and of biological consequence.

Methods

We developed a workflow to integrate TargetScan and DIANA-microT predictions into the analysis of data-driven associations calculated from transcript abundance (RNASeq) data, specifically the

SUBMITTER: Andrews MC 

PROVIDER: S-EPMC5112703 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature