Journal of Biological ChemistryMolecular BiologyPeer-reviewed journal article
Cyclin C promoter occupancy directs changes in stress-dependent transcription
Abstract
The Cdk8 kinase module (CKM) is a detachable Mediator subunit composed of cyclin C, and one each of paralogs Cdk8/Cdk19, Med12/Med12L and Med13/Med13L. In addition to regulating transcription, a portion of cyclin C also leaves the nucleus following cytotoxic stress to induce mitochondrial fragmentation and apoptosis. Our previous RNA-seq studies demonstrated that cyclin C represses a subset of hydrogen peroxide-induced genes under normal conditions, while also being required for the full induction of other loci following stress. Here, we show that cyclin C directs this transcriptional reprograming through changes in its promoter occupancy. Following peroxide stress, cyclin C promoter occupancy increased for genes it activates while decreasing at loci it represses under normal conditions. Promoter occupancy of other CKM components generally mirrored cyclin C indicating that the CKM moves as a single unit. However, CKM integrity appeared compromised at a subset of repressed promoters suggesting a source of cyclin C that is targeted for nuclear release. Interestingly, mTOR inhibition induced a new pattern of cyclin C promoter occupancy indicating that this control is fine-tuned to the individual stress. Using inhibitors, we found that Cdk8 kinase activity is not required for CKM movement or repression but was necessary for full gene activation. In conclusion, this study revealed that different stress stimuli elicit specific changes in CKM promoter occupancy correlating to altered transcriptional outputs. Finally, although CKM components were recruited or expelled from promoters as a unit, heterogeneity was observed at individual promoters suggesting a mechanism to generate gene- and stress-specific responses.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- approach: experimental assay
- Citations
- 17
- FWCI
- 0.73
- Field percentile
- top 35%
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