bioRxivCancer BiologyPreprint
Epigenetic disruption of the RARγ complex impairs its function to bookmark AR enhancer interactions required for enzalutamide sensitivity in prostate cancer
S. A. Wani, S. Hussain, J. S. Gray, D. Nayak, H. Tang, L. M. Perez, M. D. Long, M. Siddappa, C. McCabe, L. Campbell, M. R. Freeman, M. J. Campbell
Abstract
The current study in prostate cancer (PCa) focused on the genomic mechanisms at the cross-roads of pro-differentiation signals and the emergence of lineage plasticity. We explored an understudied cistromic mechanism involving RAR{gamma}s ability to govern AR cistrome-transcriptome relationships, including those associated with more aggressive PCa features. The RAR{gamma} complex in PCa cell models was enriched for canonical cofactors, as well as proteins involved in RNA processing and bookmarking. Identifying the repertoire of miR-96 bound and regulated gene targets, including those recognition elements marked by m6A, revealed their significant enrichment in the RAR{gamma} complex. RAR{gamma} significantly enhanced the AR cistrome, particularly in active enhancers and super-enhancers, and overlapped with the binding of bookmarking factors. Furthermore, RAR{gamma} expression led to nucleosome-free chromatin enriched with H3K27ac, and significantly enhanced the AR cistrome in G2/M cells. RAR{gamma} functions also antagonized the transcriptional actions of the lineage master regulator ONECUT2. Similarly, gene programs regulated by either miR-96 or antagonized by RAR{gamma} were enriched in alternative lineages and more aggressive PCa phenotypes. Together these findings reveal an under-investigated role for RAR{gamma}, modulated by miR-96, to bookmark enhancer sites during mitosis. These sites are required by the AR to promote transcriptional competence, and emphasize luminal differentiation, while antagonizing ONECUT2.
- organism: human
- assay: ChIP-seq
- assay: bulk RNA-seq
- assay: DNA methylation
- research focus: cell type annotation
- research focus: chromatin & epigenetic regulation
- research focus: cancer & tumor microenvironment
- approach: statistical model
- approach: experimental assay
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