Molecular MetabolismMolecular BiologyPeer-reviewed journal article
Crosstalk interactions between transcription factors ERRalpha and PPARalpha assist PPARalpha-mediated gene expression
Sofie J. DesmetiD, Jonathan ThommisiD, Tineke VanderhaegheniD, Edmee Vandenboorn, Dorien ClarisseiD, Yunkun LiiD, Steven TimmermansiD, Daria FijałkowskaiD, Dariusz Ratman, Evelien Van HammeiD, Lode De CauweriD, Bart StaelsiD, Luc BrunsveldiD, Frank PeelmaniD, Claude LibertiD, Jan H. TavernieriD, Karolien De BosscheriD
Abstract
The peroxisome proliferator-activated receptor (PPAR) is a crucial transcription factor governing genes associated with fatty acid {beta}-oxidation. How various interacting proteins modulate PPARs transcriptional function remains incompletely understood. Employing an unbiased mammalian protein-protein interaction trap with liganded PPAR as bait, we identified an interaction with the orphan nuclear receptor estrogen-related receptor (ERR). Random mutagenesis scanning of PPARs ligand-binding domain and coregulator profiling experiments implicated bridging coregulators, while in vitro studies suggested a trimeric interaction involving RXR. The PPAR{middle dot}ERR interaction, dependent on three C-terminal residues within ERRs helix 12, was reinforced by PGC1 and serum deprivation. Pharmacological inhibition of ERR reduced its interaction with ligand-activated PPAR, revealing a transcriptome indicative of ERR functioning as a transcriptional repressor on prototypical PPAR target genes. Intriguingly, ERR exhibited opposite behavior on other PPAR targets, including the isolated PDK4 enhancer. Chromatin immunoprecipitation analyses demonstrated PPAR ligand-dependent recruitment of ERR onto specific chromatin regions where PPAR binds in mouse livers. These findings highlight intricate transcriptional crosstalk mechanisms between PPAR and ERR, suggesting a multi-layered regulatory network fine-tuning PPARs activity as a nutrient-sensing transcription factor.
- organism: mouse
- assay: ChIP-seq
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 12
- FWCI
- 1.63
- Field percentile
- top 17%
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