Unknown

Dataset Information

0

MeCP2 Represses Enhancers through Chromosome Topology-Associated DNA Methylation.


ABSTRACT: The genomes of mammalian neurons contain uniquely high levels of non-CG DNA methylation that can be bound by the Rett syndrome protein, MeCP2, to regulate gene expression. How patterns of non-CG methylation are established in neurons and the mechanism by which this methylation works with MeCP2 to control gene expression is unclear. Here, we find that genes repressed by MeCP2 are often located within megabase-scale regions of high non-CG methylation that correspond with topologically associating domains of chromatin folding. MeCP2 represses enhancers found in these domains that are enriched for non-CG and CG methylation, with the strongest repression occurring for enhancers located within MeCP2-repressed genes. These alterations in enhancer activity provide a mechanism for how MeCP2 disruption in disease can lead to widespread changes in gene expression. Hence, we find that DNA topology can shape non-CG DNA methylation across the genome to dictate MeCP2-mediated enhancer regulation in the brain.

SUBMITTER: Clemens AW 

PROVIDER: S-EPMC6980697 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

MeCP2 Represses Enhancers through Chromosome Topology-Associated DNA Methylation.

Clemens Adam W AW   Wu Dennis Y DY   Moore J Russell JR   Christian Diana L DL   Zhao Guoyan G   Gabel Harrison W HW  

Molecular cell 20191126 2


The genomes of mammalian neurons contain uniquely high levels of non-CG DNA methylation that can be bound by the Rett syndrome protein, MeCP2, to regulate gene expression. How patterns of non-CG methylation are established in neurons and the mechanism by which this methylation works with MeCP2 to control gene expression is unclear. Here, we find that genes repressed by MeCP2 are often located within megabase-scale regions of high non-CG methylation that correspond with topologically associating  ...[more]

Similar Datasets

2019-11-26 | GSE123373 | GEO
2019-11-26 | GSE138613 | GEO
2019-11-26 | GSE123372 | GEO
2019-11-26 | GSE123371 | GEO
| S-EPMC2614877 | biostudies-literature
| S-EPMC4474542 | biostudies-literature
| S-EPMC5727985 | biostudies-literature
| PRJNA508525 | ENA
| S-EPMC3940938 | biostudies-literature