Department of Computational and Systems Biology, John Innes Centre, Norwich NR4 7UH, United Kingdom.
Phys Biol. 2024 Nov 29;22(1):016005. doi: 10.1088/1478-3975/ad942c.
How much information does a cell inherit from its ancestors beyond its genetic sequence? What are the epigenetic mechanisms that allow this? Despite the rise in available epigenetic data, how such information is inherited through the cell cycle is still not fully understood. Often, epigenetic marks can display bistable behaviour and their bistable state is transmitted to daughter cells through the cell cycle, providing the cell with a form of memory. However, loss-of-memory events also take place, where a daughter cell switches epigenetic state (with respect to the mother cell). Here, we develop a framework to compute these epigenetic switching rates, for the case when they are driven by DNA replication, i.e. the frequency of loss-of-memory events due to replication. We consider the dynamics of histone modifications during the cell cycle deterministically, except at DNA replication, where nucleosomes are randomly distributed between the two daughter DNA strands, which is therefore implemented stochastically. This hybrid stochastic-deterministic approach enables an analytic derivation of the replication-driven switching rate. While retaining great simplicity, this framework can explain experimental switching rate data, establishing its biological importance as a framework to quantitatively study epigenetic inheritance.
细胞从其祖先那里继承的信息超出了其遗传序列的范围,那么这些额外的信息是什么?允许这种情况发生的表观遗传机制又是什么?尽管可用的表观遗传数据不断增加,但这种信息如何在细胞周期中传递仍未完全清楚。通常,表观遗传标记可以表现出双稳态行为,并且它们的双稳态状态通过细胞周期传递到子细胞,为细胞提供了一种记忆形式。然而,也会发生失去记忆的事件,其中子细胞改变了表观遗传状态(相对于母细胞)。在这里,我们开发了一个框架来计算这些表观遗传转换率,其情况是由 DNA 复制驱动的,即由于复制而导致的失去记忆事件的频率。我们确定性地考虑了细胞周期中组蛋白修饰的动态,除了在 DNA 复制期间,此时核小体在两个子 DNA 链之间随机分布,因此以随机方式实现。这种混合的随机-确定性方法能够推导出复制驱动的转换率的解析解。虽然保留了极大的简单性,但这个框架可以解释实验转换率数据,为其作为定量研究表观遗传继承的框架的生物学重要性提供了依据。