1. RNA-bound PGC-1α controls gene expression in liquid-like nuclear condensates
- Author
-
Julien Delezie, Carlos Henríquez-Olguín, Danilo Ritz, Volkan Adak, Elyzabeth Vargas-Fernández, Christoph Handschin, Konstantin Schneider-Heieck, Bettina Karrer-Cardel, Bastian Kohl, Joaquín Pérez-Schindler, Geraldine Maier, Sebastian Hiller, Alexander Schmidt, Aurel B. Leuchtmann, Thomas E. Jensen, Maria Hondele, and Thomas Sakoparnig
- Subjects
Male ,RNA-binding protein ,Cell Line ,Mice ,03 medical and health sciences ,0302 clinical medicine ,Protein Domains ,Transcription (biology) ,Coactivator ,Gene expression ,Transcriptional regulation ,Animals ,Humans ,Protein Interaction Domains and Motifs ,Transcription factor ,030304 developmental biology ,Cell Nucleus ,0303 health sciences ,Multidisciplinary ,Chemistry ,RNA ,Biological Sciences ,Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha ,Chromatin ,Cell biology ,Mice, Inbred C57BL ,Gene Expression Regulation ,030217 neurology & neurosurgery - Abstract
Plasticity of cells, tissues, and organs is controlled by the coordinated transcription of biological programs. However, the mechanisms orchestrating such context-specific transcriptional networks mediated by the dynamic interplay of transcription factors and coregulators are poorly understood. The peroxisome proliferator-activated receptor γ coactivator 1α (PGC-1α) is a prototypical master regulator of adaptive transcription in various cell types. We now uncovered a central function of the C-terminal domain of PGC-1α to bind RNAs and assemble multiprotein complexes including proteins that control gene transcription and RNA processing. These interactions are important for PGC-1α recruitment to chromatin in transcriptionally active liquid-like nuclear condensates. Notably, such a compartmentalization of active transcription mediated by liquid-liquid phase separation was observed in mouse and human skeletal muscle, revealing a mechanism by which PGC-1α regulates complex transcriptional networks. These findings provide a broad conceptual framework for context-dependent transcriptional control of phenotypic adaptations in metabolically active tissues.
- Published
- 2021