The Bromodomains of the mammalian SWI/SNF (mSWI/SNF) ATPases Brahma (BRM) and Brahma Related Gene 1 (BRG1) promote chromatin interaction and are critical for skeletal muscle differentiation.
Tapan SharmaDaniel C L RobinsonHanna WitwickaF Jeffrey DilworthAnthony N ImbalzanoPublished in: Nucleic acids research (2021)
Skeletal muscle regeneration is mediated by myoblasts that undergo epigenomic changes to establish the gene expression program of differentiated myofibers. mSWI/SNF chromatin remodeling enzymes coordinate with lineage-determining transcription factors to establish the epigenome of differentiated myofibers. Bromodomains bind to acetylated lysines on histone N-terminal tails and other proteins. The mutually exclusive ATPases of mSWI/SNF complexes, BRG1 and BRM, contain bromodomains with undefined functional importance in skeletal muscle differentiation. Pharmacological inhibition of mSWI/SNF bromodomain function using the small molecule PFI-3 reduced differentiation in cell culture and in vivo through decreased myogenic gene expression, while increasing cell cycle-related gene expression and the number of cells remaining in the cell cycle. Comparative gene expression analysis with data from myoblasts depleted of BRG1 or BRM showed that bromodomain function was required for a subset of BRG1- and BRM-dependent gene expression. Reduced binding of BRG1 and BRM after PFI-3 treatment showed that the bromodomain is required for stable chromatin binding at target gene promoters to alter gene expression. Our findings demonstrate that mSWI/SNF ATPase bromodomains permit stable binding of the mSWI/SNF ATPases to promoters required for cell cycle exit and establishment of muscle-specific gene expression.
Keyphrases
- gene expression
- cell cycle
- skeletal muscle
- dna methylation
- cell proliferation
- genome wide
- small molecule
- municipal solid waste
- insulin resistance
- transcription factor
- copy number
- genome wide identification
- stem cells
- induced apoptosis
- dna damage
- dna binding
- electronic health record
- risk assessment
- cell death
- type diabetes
- machine learning
- oxidative stress
- endoplasmic reticulum stress
- cell cycle arrest
- deep learning
- artificial intelligence
- combination therapy
- smoking cessation
- anaerobic digestion
- genome wide analysis