{"title":"DNA 复制过程中随机组蛋白标记丢失导致的表观遗传学转换理论","authors":"Ander Movilla Miangolarra, Martin Howard","doi":"arxiv-2407.06019","DOIUrl":null,"url":null,"abstract":"How much information does a cell inherit from its ancestors beyond its\ngenetic sequence? What are the epigenetic mechanisms that allow this? Despite\nthe rise in available epigenetic data, how such information is inherited\nthrough the cell cycle is still not fully understood. Here, we develop and\nanalyse a simple mathematical model for histone-based epigenetic information\nthat describes how daughter cells can recapitulate the gene expression profiles\nof their parent. We consider the dynamics of histone modifications during the\ncell cycle deterministically but also incorporate the largest stochastic\nelement: DNA replication, where histones are randomly distributed between the\ntwo daughter DNA strands. This hybrid stochastic-deterministic approach enables\nan analytic derivation of the switching rate, i.e., the frequency of\nloss-of-memory events due to replication. While retaining great simplicity, the\nmodel can recapitulate experimental switching rate data, establishing its\nbiological importance as a framework to quantitatively study epigenetic\ninheritance.","PeriodicalId":501325,"journal":{"name":"arXiv - QuanBio - Molecular Networks","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Theory of epigenetic switching due to stochastic histone mark loss during DNA replication\",\"authors\":\"Ander Movilla Miangolarra, Martin Howard\",\"doi\":\"arxiv-2407.06019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"How much information does a cell inherit from its ancestors beyond its\\ngenetic sequence? What are the epigenetic mechanisms that allow this? Despite\\nthe rise in available epigenetic data, how such information is inherited\\nthrough the cell cycle is still not fully understood. Here, we develop and\\nanalyse a simple mathematical model for histone-based epigenetic information\\nthat describes how daughter cells can recapitulate the gene expression profiles\\nof their parent. We consider the dynamics of histone modifications during the\\ncell cycle deterministically but also incorporate the largest stochastic\\nelement: DNA replication, where histones are randomly distributed between the\\ntwo daughter DNA strands. This hybrid stochastic-deterministic approach enables\\nan analytic derivation of the switching rate, i.e., the frequency of\\nloss-of-memory events due to replication. While retaining great simplicity, the\\nmodel can recapitulate experimental switching rate data, establishing its\\nbiological importance as a framework to quantitatively study epigenetic\\ninheritance.\",\"PeriodicalId\":501325,\"journal\":{\"name\":\"arXiv - QuanBio - Molecular Networks\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Molecular Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2407.06019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Molecular Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.06019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
除了遗传序列之外,细胞还能从祖先那里继承多少信息?有哪些表观遗传机制可以做到这一点?尽管现有的表观遗传学数据不断增加,但人们对这些信息是如何通过细胞周期继承下来的仍不完全清楚。在这里,我们建立并分析了一个基于组蛋白的表观遗传信息的简单数学模型,该模型描述了子细胞如何再现母细胞的基因表达谱。我们以确定性的方式考虑了组蛋白修饰在细胞周期中的动态变化,但也纳入了最大的随机因素:DNA 复制,组蛋白在两条子 DNA 链之间随机分布。这种随机-确定性混合方法可以分析推导出切换率,即复制导致的记忆丢失事件的频率。该模型非常简单,却能再现实验中的切换率数据,从而确立了其作为定量研究表观遗传学框架的生物学重要性。
Theory of epigenetic switching due to stochastic histone mark loss during DNA replication
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. Here, we develop and
analyse a simple mathematical model for histone-based epigenetic information
that describes how daughter cells can recapitulate the gene expression profiles
of their parent. We consider the dynamics of histone modifications during the
cell cycle deterministically but also incorporate the largest stochastic
element: DNA replication, where histones are randomly distributed between the
two daughter DNA strands. This hybrid stochastic-deterministic approach enables
an analytic derivation of the switching rate, i.e., the frequency of
loss-of-memory events due to replication. While retaining great simplicity, the
model can recapitulate experimental switching rate data, establishing its
biological importance as a framework to quantitatively study epigenetic
inheritance.