Mining regulatory 5'UTRs from cDNA deep sequencing datasets.

ABSTRACT: Regulatory 5' untranslated regions (r5'UTRs) of mRNAs such as riboswitches modulate the expression of genes involved in varied biological processes in both bacteria and eukaryotes. New high-throughput sequencing technologies could provide powerful tools for discovery of novel r5'UTRs, but the size and complexity of the datasets generated by these technologies makes it difficult to differentiate r5'UTRs from the multitude of other types of RNAs detected. Here, we developed and implemented a bioinformatic approach to identify putative r5'UTRs from within large datasets of RNAs recently identified by pyrosequencing of the Vibrio cholerae small transcriptome. This screen yielded only approximately 1% of all non-overlapping RNAs along with 75% of previously annotated r5'UTRs and 69 candidate V.

SUBMITTER: Livny J 

PROVIDER: S-EPMC2836559 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature