Proceedings of the National Academy of SciencesMolecular BiologyPeer-reviewed journal article
RNA-bound PGC-1α controls gene expression in liquid-like nuclear condensates
Joaquín Pérez‐SchindleriD, Bastian KohliD, Konstantin Schneider‐HeieckiD, Aurel B. LeuchtmanniD, Carlos Henríquez‐OlguíniD, Volkan AdakiD, Geraldine MaieriD, Julien DelezieiD, Thomas SakoparnigiD, Elyzabeth Vargas‐Fernández, Bettina Karrer‐Cardel, Danilo RitziD, Alexander SchmidtiD, Maria HondeleiD, Thomas E. JenseniD, Sebastian HilleriD, Christoph HandschiniD
Abstract
The peroxisome-proliferator-activated receptor-{gamma} coactivator-1 (PGC-1) integrates environmental cues by controlling complex transcriptional networks in various metabolically active tissues. However, it is unclear how a transcriptional coregulator coordinates dynamic biological programs in response to multifaceted stimuli such as endurance training or fasting. Here, we discovered a central function of the poorly understood C-terminal domain (CTD) of PGC-1 to bind RNAs and assemble multi-protein complexes. Surprisingly, in addition to controlling the coupling of transcription and processing of target genes, RNA binding is indispensable for the recruitment of PGC-1 to chromatin into liquid-like nuclear condensates, which compartmentalize and regulate active transcription. These results demonstrate a hitherto unsuspected molecular mechanism by which complexity in the regulation of large transcriptional networks by PGC-1 is achieved. These findings are not only essential for the basic understanding of transcriptional coregulator-driven control of biological programs, but will also help to devise new strategies to modulate these processes in pathological contexts in which PGC-1 function is dysregulated, such as type 2 diabetes, cardiovascular diseases or skeletal muscle wasting.
- organism: human
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: cell type annotation
- approach: experimental assay
- Citations
- 22
- FWCI
- 1.02
- Field percentile
- top 26%
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