Dynamic enhancer interactome promotes senescence and aging.
Lu WangGregory DonahueChen ZhangAaron HavasXue LeiCaiyue XuWenliang WangGolnaz VahediPeter D AdamsShelley L BergerPublished in: bioRxiv : the preprint server for biology (2023)
Gene expression programs are regulated by enhancers which act in a context-specific manner, and can reside at great distances from their target genes. Extensive three-dimensional (3D) genome reorganization occurs in senescence, but how enhancer interactomes are reconfigured during this process is just beginning to be understood. Here we generated high-resolution contact maps of active enhancers and their target genes, assessed chromatin accessibility, and established one-dimensional maps of various histone modifications and transcription factors to comprehensively understand the regulation of enhancer configuration during senescence. Hyper-connected enhancer communities/cliques formed around genes that are highly expressed and within essential gene pathways in each cell state. In addition, motif analysis indicates the involvement of specific transcription factors in hyper-connected regulatory elements in each condition; importantly, MafK, a bZIP family transcription factor, was upregulated in senescence, and reduced expression of MafK ameliorated the senescence phenotypes. Because the accumulation of senescent cells is a key feature of aging, we further investigated enhancer connectomes in the liver of young and aged mice. Hyper-connected enhancer communities were identified during aging, which regulate essential genes that maintain cell differentiation and homeostasis. These findings reveal that hyper-connected enhancer communities correlate with high gene expression in senescence and aging and provide potential hotspots for therapeutic intervention in aging and age-associated diseases.
Keyphrases
- transcription factor
- genome wide identification
- genome wide
- gene expression
- dna damage
- endothelial cells
- dna binding
- dna methylation
- stress induced
- high resolution
- binding protein
- randomized controlled trial
- bioinformatics analysis
- type diabetes
- induced apoptosis
- single cell
- poor prognosis
- genome wide analysis
- copy number
- long non coding rna
- oxidative stress
- climate change
- mass spectrometry
- stem cells
- metabolic syndrome