Epigenetic memory: The role of the crosstalk between histone modifications and DNA methylation.

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-09-11 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.08.034
Domitilla Del Vecchio
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引用次数: 0

Abstract

Epigenetic memory allows different cells to maintain distinct gene expression patterns despite a common genetic code and plays a role in several biological processes. Chemical modifications to DNA and histones have appeared as critical mediators of epigenetic memory and much attention has gone into characterizing their dynamics. The network of positive feedback loops that these modifications form generates a rich set of dynamics that both recapitulate the traditional binary memory paradigm and also predict a new form of memory that we call analog memory. In this paper, we review models of chromatin modifications and describe how binary or analog memory hinge on the presence or lack of positive feedback loops between repressive histone modifications and DNA methylation. Future research using advanced genetic engineering tools will be able to validate the molecular interactions that dictate different forms of memory, and will thus deepen our understanding of how epigenetic memories form in different biological contexts.

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表观遗传记忆:组蛋白修饰和DNA甲基化之间串扰的作用。
表观遗传记忆允许不同的细胞保持不同的基因表达模式,尽管有共同的遗传密码,并在几个生物过程中发挥作用。DNA和组蛋白的化学修饰已成为表观遗传记忆的关键介质,并且对其动力学特性进行了大量研究。这些修改形成的正反馈回路网络产生了一套丰富的动态,这些动态既概括了传统的二进制记忆范式,也预测了一种新的记忆形式,我们称之为模拟记忆。在本文中,我们回顾了染色质修饰的模型,并描述了二元或模拟记忆如何依赖于抑制性组蛋白修饰和DNA甲基化之间存在或缺乏正反馈回路。未来使用先进基因工程工具的研究将能够验证决定不同形式记忆的分子相互作用,从而加深我们对表观遗传记忆如何在不同生物背景下形成的理解。
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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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