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了解染色质折叠和酶竞争如何影响崎岖的表观遗传景观。

Understanding How Chromatin Folding and Enzyme Competition Affect Rugged Epigenetic Landscapes.

作者信息

Stepanova Daria, Brunet Guasch Meritxell, Byrne Helen M, Alarcón Tomás

机构信息

Centre de Recerca Matemàtica, Campus de Bellaterra, Edifici C, 08193, Bellaterra, Barcelona, Spain.

School of Mathematics and Maxwell Institute for Mathematical Sciences, University of Edinburgh, James Clerk Maxwell Building, Mayfield Rd, Edinburgh, EH9 3FD, Scotland, UK.

出版信息

Bull Math Biol. 2025 Mar 28;87(5):59. doi: 10.1007/s11538-025-01434-0.

Abstract

Epigenetics plays a key role in cellular differentiation and maintaining cell identity, enabling cells to regulate their genetic activity without altering the DNA sequence. Epigenetic regulation occurs within the context of hierarchically folded chromatin, yet the interplay between the dynamics of epigenetic modifications and chromatin architecture remains poorly understood. In addition, it remains unclear what mechanisms drive the formation of rugged epigenetic patterns, characterised by alternating genomic regions enriched in activating and repressive marks. In this study, we focus on post-translational modifications of histone H3 tails, particularly H3K27me3, H3K4me3, and H3K27ac. We introduce a mesoscopic stochastic model that incorporates chromatin architecture and competition of histone-modifying enzymes into the dynamics of epigenetic modifications in small genomic loci comprising several nucleosomes. Our approach enables us to investigate the mechanisms by which epigenetic patterns form on larger scales of chromatin organisation, such as loops and domains. Through bifurcation analysis and stochastic simulations, we demonstrate that the model can reproduce uniform chromatin states (open, closed, and bivalent) and generate previously unexplored rugged profiles. Our results suggest that enzyme competition and chromatin conformations with high-frequency interactions between distant genomic loci can drive the emergence of rugged epigenetic landscapes. Additionally, we hypothesise that bivalent chromatin can act as an intermediate state, facilitating transitions between uniform and rugged landscapes. This work offers a powerful mathematical framework for understanding the dynamic interactions between chromatin architecture and epigenetic regulation, providing new insights into the formation of complex epigenetic patterns.

摘要

表观遗传学在细胞分化和维持细胞身份方面发挥着关键作用,使细胞能够在不改变DNA序列的情况下调节其基因活性。表观遗传调控发生在分层折叠的染色质环境中,然而表观遗传修饰的动力学与染色质结构之间的相互作用仍知之甚少。此外,尚不清楚是什么机制驱动了崎岖的表观遗传模式的形成,这种模式的特征是富含激活和抑制标记的基因组区域交替出现。在本研究中,我们聚焦于组蛋白H3尾巴的翻译后修饰,特别是H3K27me3、H3K4me3和H3K27ac。我们引入了一个介观随机模型,该模型将染色质结构和组蛋白修饰酶的竞争纳入到由几个核小体组成的小基因组位点的表观遗传修饰动力学中。我们的方法使我们能够研究表观遗传模式在更大规模的染色质组织(如环和结构域)上形成的机制。通过分岔分析和随机模拟,我们证明该模型可以重现均匀的染色质状态(开放、封闭和双价),并生成以前未探索过的崎岖轮廓。我们的结果表明,酶竞争和远距离基因组位点之间具有高频相互作用的染色质构象可以驱动崎岖表观遗传景观的出现。此外,我们假设双价染色质可以作为一种中间状态,促进均匀和崎岖景观之间的转变。这项工作为理解染色质结构与表观遗传调控之间的动态相互作用提供了一个强大的数学框架,为复杂表观遗传模式的形成提供了新的见解。

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