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人类衰老与年轻化过程中的遗传和表观遗传改变。

Genetic and epigenetic alterations in aging and rejuvenation of human.

作者信息

Park Kyunghyuk, Jeon Min Chul, Lee Dakyung, Kim Jong-Il, Im Sun-Wha

机构信息

Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, Korea.

Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.

出版信息

Mol Cells. 2024 Dec;47(12):100137. doi: 10.1016/j.mocell.2024.100137. Epub 2024 Oct 19.

Abstract

All the information essential for life is encoded within our genome and epigenome, which orchestrates diverse cellular states spatially and temporally. In particular, the epigenome interacts with internal and external stimuli, encoding and preserving cellular experiences, and it serves as the regulatory base of the transcriptome across diverse cell types. The emergence of single-cell transcriptomic and epigenomic data collection has revealed unique omics signatures in diverse tissues, highlighting cellular heterogeneity. Recent research has documented age-related epigenetic changes at the single-cell level, alongside the validation of cellular rejuvenation through partial reprogramming, which involves simultaneous epigenetic modifications. These dynamic shifts, primarily fueled by stem cell plasticity, have catalyzed significant interest and cross-disciplinary research endeavors. This review explores the genomic and epigenomic alterations with aging, elucidating their reciprocal interactions. Additionally, it seeks to discuss the evolving landscape of rejuvenation research, with a particular emphasis on dissecting stem cell behavior through the lens of single-cell analysis. Moreover, it proposes potential research methodologies for future studies.

摘要

生命所需的所有信息都编码在我们的基因组和表观基因组中,它们在空间和时间上协调着不同的细胞状态。特别是,表观基因组与内部和外部刺激相互作用,编码和保存细胞经历,并作为跨多种细胞类型的转录组的调控基础。单细胞转录组学和表观基因组学数据收集的出现揭示了不同组织中独特的组学特征,突出了细胞异质性。最近的研究记录了单细胞水平上与年龄相关的表观遗传变化,同时也验证了通过部分重编程实现细胞年轻化,这涉及到同时进行的表观遗传修饰。这些动态变化主要由干细胞可塑性驱动,引发了极大的兴趣和跨学科研究努力。本综述探讨了衰老过程中的基因组和表观基因组改变,阐明了它们之间的相互作用。此外,它还试图讨论年轻化研究的不断发展的格局,特别强调通过单细胞分析来剖析干细胞行为。此外,它还为未来的研究提出了潜在的研究方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd1a/11625158/c943e2d2ce26/gr1.jpg

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