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单细胞数据的多组学整合揭示了骨骼肌干细胞中超增强子的甲基化谱。

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

作者信息

Zeng Anyu, Liu Hailong, He Shuling, Luo Xuming, Zhang Zhiqi, Fu Ming, Yu Baoxi

机构信息

Department of Bone and Soft Tissue Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510080, P. R. China.

Department of Orthopaedics, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, P. R. China.

出版信息

Epigenetics Chromatin. 2025 Aug 11;18(1):54. doi: 10.1186/s13072-025-00619-0.

DOI:10.1186/s13072-025-00619-0
PMID:40790233
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 of SEs and to identify differentially methylated regions (DMRs) between aged and control samples using single-cell bisulfite sequencing (scBS-seq) data from the Gene Expression Omnibus (GEO) database. Overlap analysis was used to assess the regions of SEs and DMRs. The target genes and motifs were analyzed using KEGG, GO, and HOMER to identify key biological pathways and functions, followed by validation through snATAC-seq and immunofluorescence techniques.

RESULTS

In conclusion, we conducted a multi-omics and cross-species analysis of MuSCs, creating a detailed methylation profile of SEs during aging. We identified key motifs and genes affected by SE methylation reprogramming, revealing important molecular pathways involved in aging. Notably, further analysis of the key gene PLXND1 revealed a decreasing expression trend in aged MuSCs, which appears to be linked to the hypermethylation of SE Rank 869. This epigenetic alteration is likely to contribute to the dysregulation of the SEMA3 signaling pathway, with profound implications for muscle regeneration in MuSCs during aging.

CONCLUSION

These findings suggest that epigenetic alterations in the methylation reprogramming of SEs are closely linked to the disruption of transcriptional networks during MuSCs aging. Moreover, our results offer valuable insights into the mechanisms driving SE methylation reprogramming, shedding light on how these epigenetic changes contribute to the molecular processes underlying aging.

摘要

引言

骨骼肌干细胞(MuSCs)具有强大的再生能力,但随着年龄增长,其再生能力会下降,导致肌肉功能衰退。尽管超级增强子(SEs)的甲基化重编程在调节与衰老过程相关的基因表达中起关键作用,但我们对衰老过程中干细胞分子多样性的了解仍然有限。本研究旨在确定MuSCs中SEs的甲基化图谱,并探索与衰老相关的潜在治疗分子靶点。

方法

使用ROSE软件从ENCODE数据库获得的ChIP-seq数据中识别超级增强子。此外,应用ALLCools和Methylpy软件包分析SEs的甲基化图谱,并使用来自基因表达综合数据库(GEO)的单细胞亚硫酸氢盐测序(scBS-seq)数据识别老年样本和对照样本之间的差异甲基化区域(DMRs)。重叠分析用于评估SEs和DMRs的区域。使用KEGG、GO和HOMER分析靶基因和基序,以识别关键的生物学途径和功能,随后通过snATAC-seq和免疫荧光技术进行验证。

结果

总之,我们对MuSCs进行了多组学和跨物种分析,创建了衰老过程中SEs的详细甲基化图谱。我们确定了受SE甲基化重编程影响的关键基序和基因,揭示了与衰老相关的重要分子途径。值得注意的是,对关键基因PLXND1的进一步分析显示,老年MuSCs中的表达呈下降趋势,这似乎与SE等级869的高甲基化有关。这种表观遗传改变可能导致SEMA3信号通路失调,对衰老过程中MuSCs的肌肉再生具有深远影响。

结论

这些发现表明,SEs甲基化重编程中的表观遗传改变与MuSCs衰老过程中转录网络的破坏密切相关。此外,我们的结果为驱动SE甲基化重编程的机制提供了有价值的见解,阐明了这些表观遗传变化如何促成衰老的分子过程。

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