bioRxivCell BiologyPreprint
Interdependent androgen and glucocorticoid receptor signalling shapes prostate epithelial homeostasis
Qingshuang CaiiD, Tanisha Sooben, Anna‐Isavella RerraiD, Lea Bouhelier, Félicie CottardiD, Daniela RovitoiD, Karim EssabriiD, Tao YeiD, Emmanouela Epeslidou, Jia Wen Lim, Graciela Ruiz, Joe G. RizkiD, Sirine Souali‐CrespoiD, Rajesh SahuiD, Emilia CalvanoiD, Alicia Boule, Nandita BodraiD, Hugo Rolando VacaiD, Gilles TravéiD, Mariel DonzeauiD, Élodie MonsellieriD, Stefan PrekovićiD, Daniel METZGERiD, Isabelle M. L. BillasiD, Delphine DuteiliD
Abstract
Androgen signalling is essential for prostate secretory functions and epithelial cell maintenance, yet how this signal is translated into a transcriptional output remains poorly understood. Androgens functions are primarily mediated by the androgen receptor (AR), which binds hormone response elements similar to those of other steroid receptors, including the glucocorticoid receptor (GR). Here we show that AR and GR are co-expressed in the prostate epithelium, and co-located within nuclear foci. Moreover, GR promotes the formation and dynamics of AR nuclear condensates, and heterodimerizes with AR in a ligand-binding domain-dependent manner. In addition, subtle variations within the hormone response element sequence direct the co-recruitment of AR and GR into activator or repressor complexes to activate or repress gene expression. Finally, prostate-specific deletion of GR in mice disrupts AR nuclear distribution, impairs AR-dependent gene networks involved in epithelial maintenance, and promotes the expression of genes involved in metabolism and cell cycle, resulting in altered tissue homeostasis. Thus, these findings identify GR as an integral component of the AR transcriptional machinery in epithelial cells of the healthy prostate, and reveal how shared cis-regulatory elements are interpreted to generate distinct transcriptional outcomes.
- organism: mouse
- assay: bulk RNA-seq
- assay: proteomics
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: experimental assay
- approach: genetic perturbation / CRISPR
- approach: microscopy & imaging analysis
- approach: statistical model
- Citations
- 0
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