Next-generation sequencing of the porcine skeletal muscle transcriptome for computational prediction of microRNA gene targets.

ABSTRACT:

Background

MicroRNA are a class of small RNAs that regulate gene expression by inhibiting translation of protein encoding transcripts through targeting of a microRNA-protein complex by base-pairing of the microRNA sequence to cognate recognition sequences in the 3' untranslated region (UTR) of the mRNA. Target identification for a given microRNA sequence is generally accomplished by informatics analysis of predicted mRNA sequences present in the genome or in databases of transcript sequence for the tissue of interest. However, gene models for porcine skeletal muscle transcripts in current databases, specifically complete sequence of the 3' UTR, are inadequate for this exercise.

Methodology/principal findings

To provide data necessary to identify gene targets for microRNA in

SUBMITTER: McDaneld TG 

PROVIDER: S-EPMC3407067 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature