Widespread inference of weighted microRNA-mediated gene regulation in cancer transcriptome analysis.

ABSTRACT: MicroRNAs (miRNAs) comprise a gene-regulatory network through sequence complementarity with target mRNAs. Previous studies have shown that mammalian miRNAs decrease many target mRNA levels and reduce protein production predominantly by target mRNA destabilization. However, it has not yet been fully assessed whether this scheme is widely applicable to more realistic conditions with multiple miRNA fluctuations. By combining two analytical frameworks for detecting the enrichment of gene sets, Gene Set Enrichment Analysis (GSEA) and Functional Assignment of miRNAs via Enrichment (FAME), we developed GSEA-FAME analysis (GFA), which enables the prediction of miRNA activities from mRNA expression data using rank-based enrichment analysis and weighted evaluation of miRNA-mRNA interactions. This co

SUBMITTER: Suzuki HI 

PROVIDER: S-EPMC3597654 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature