Genomics

Dataset Information

0

Dynamic enhancer interactome promotes senescence and aging [Hi-ChIP II]


ABSTRACT: 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.

ORGANISM(S): Mus musculus

PROVIDER: GSE253617 | GEO | 2024/10/31

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2023-06-20 | GSE232942 | GEO
| PRJNA1066353 | ENA
2017-07-13 | GSE93080 | GEO
2019-02-06 | GSE105936 | GEO
2019-02-06 | GSE105935 | GEO
2019-02-06 | GSE106146 | GEO
2019-02-06 | GSE105951 | GEO
| PRJNA1066357 | ENA
| PRJNA974457 | ENA
2012-01-09 | E-GEOD-29558 | biostudies-arrayexpress