Analysis of Saccharomyces cerevisiae genome for the distributions of stress-response elements potentially affecting gene expression by transcriptional interference.

Cellular stress responses are characterized by coordinated transcriptional induction of genes encoding a group of conserved proteins known as molecular chaperones, most of which are also known as heat shock proteins (HSPs). In S. cerevisiae, transcriptional responses to stress are mediated via two trans-regulatory activators: heat shock transcription factors (HSFs) that bind to heat shock elements (HSEs), and the Msn2 and Msn4 transcription factors that bind to stress response elements (STREs). Recent studies in S. cerevisiae demonstrated that a significant portion of the non-coding region in the genome is transcribed and this intergenic transcription could regulate the transcription of adjacent genes by transcription interference. The goal of this study was to analyze the genomic distribution of HSF and Msn2/4 binding sites and to study the potential for transcription interference regulated by stress response systems. Our genome-wide analysis revealed that 297 genes have STREs in their promoter region, whereas 310 genes contained HSEs. Twenty-five genes had both HSEs and STREs in their promoters. The first set of genes is potentially regulated by the Msn2/Msn4/STRE interaction. For the second set of genes, regulation by heat shock could be mediated through HSF/HSE regulatory mechanisms. The overlap between these groups suggests a co-regulation by the two pathways. Our study yielded 239 candidate genes, whose regulation could potentially be affected by heat-shock via transcription interference directed both from upstream and downstream areas relative to the native promoters. In addition we have categorized 924 genes containing HSE and/or STRE elements within the Open Reading Frames (ORFs), which may also affect normal transcription. Our study revealed a widespread possibility for the regulation of genes via transcriptional interference initiated by stress response. We provided a categorization of genes potentially affected at the transcriptional level by known stress-response systems.