Understanding how chromatin folding and enzyme competition affect rugged epigenetic landscapes

Daria Stepanova, Meritxell Brunet Guasch, Helen M. Byrne, Tomás Alarcón
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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.
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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
表观遗传学在细胞分化和保持细胞特性方面起着关键作用,它使细胞能够在不改变DNA序列的情况下调节其遗传活动。表观遗传调控发生在层次折叠的染色质中,但人们对表观遗传修饰动态与染色质结构之间的相互作用仍然知之甚少。此外,人们仍然不清楚是什么机制驱动形成了崎岖不平的表观遗传模式,其特点是基因组区域交替富含失活和抑制标记。在这项研究中,我们重点研究了组蛋白 H3 尾部的翻译后修饰,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了由多个核小体组成的小基因组位点的表观遗传修饰动态。我们的方法使我们能够研究表观遗传模式在更大尺度的染色质组织(如环和域)中的形成机制。通过分岔分析和随机模拟,我们证明该模型可以再现统一的染色质状态(开放、封闭和二价),并生成以前未探索过的崎岖曲线。我们的研究结果表明,酶竞争和染色质构象与遥远的基因组位点之间的高频率相互作用可以驱动崎岖不平的表观遗传景观的出现。此外,我们还假设,双价染色质可以作为一种中间状态,促进均匀地貌和崎岖地貌之间的过渡。这项研究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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