Multi-omic integration of single-cell data uncovers methylation profiles of super-enhancers in skeletal muscle stem cells.

ABSTRACT:

Introduction

Skeletal muscle stem cells (MuSCs) have strong regenerative abilities, but as we age, their ability to regenerate decreases, leading to a decline in muscle function. Although the methylation reprogramming of super-enhancers (SEs) plays a pivotal role in regulating gene expression associated with the aging process, our understanding of the molecular diversity of stem cells during aging remains limited. This study aimed to identify the methylation profile of SEs in MuSCs and explore potential therapeutic molecular targets associated with aging.

Methods

The ROSE software was employed to identify super enhancers from the ChIP-seq data obtained from the ENCODE database. Additionally, the ALLCools and Methylpy packages were applied to analyze the methylation profile o

SUBMITTER: Zeng A 

PROVIDER: S-EPMC12337566 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature