DoGFinder: a software for the discovery and quantification of readthrough transcripts from RNA-seq.

Background: Recent studies have described a widespread induction of transcriptional readthrough as a consequence of various stress conditions in mammalian cells. This novel phenomenon, initially identified from analysis of RNA-seq data, suggests intriguing new levels of gene expression regulation. However, the mechanism underlying naturally occurring transcriptional readthrough, as well as its regulatory consequences, still remain elusive.

Comparative analysis reveals genomic features of stress-induced transcriptional readthrough.

Transcription is a highly regulated process, and stress-induced changes in gene transcription have been shown to play a major role in stress responses and adaptation. Genome-wide studies reveal prevalent transcription beyond known protein-coding gene loci, generating a variety of RNA classes, most of unknown function. One such class, termed downstream of gene-containing transcripts (DoGs), was reported to result from transcriptional readthrough upon osmotic stress in human cells.