• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基因开关的随机表观遗传动力学。

Stochastic epigenetic dynamics of gene switching.

机构信息

Department of Applied Physics, Nagoya University, Nagoya 464-8603, Japan.

Department of Chemistry, Physics and Applied Mathematics, State University of New York at Stony Brook, Stony Brook, New York 11794, USA.

出版信息

Phys Rev E. 2020 Oct;102(4-1):042408. doi: 10.1103/PhysRevE.102.042408.

DOI:10.1103/PhysRevE.102.042408
PMID:33212709
Abstract

Epigenetic modifications of histones crucially affect eukaryotic gene activity, while the epigenetic histone state is largely determined by the binding of specific factors such as the transcription factors (TFs) to DNA. Here, the way in which the TFs and the histone state are dynamically correlated is not obvious when the TF synthesis is regulated by the histone state. This type of feedback regulatory relation is ubiquitous in gene networks to determine cell fate in differentiation and other cell transformations. To gain insights into such dynamical feedback regulations, we theoretically analyze a model of epigenetic gene switching by extending the Doi-Peliti operator formalism of reaction kinetics to the problem of coupled molecular processes. Spin-1 and spin-1/2 coherent-state representations are introduced to describe stochastic reactions of histones and binding or unbinding of TFs in a unified way, which provides a concise view of the effects of timescale difference among these molecular processes; even in the case that binding or unbinding of TFs to or from DNA is adiabatically fast, the slow nonadiabatic histone dynamics gives rise to a distinct circular flow of the probability flux around basins in the landscape of the gene state distribution, which leads to hysteresis in gene switching. In contrast to the general belief that the change in the amount of TF precedes the histone state change, flux drives histones to be modified prior to the change in the amount of TF in self-regulating circuits. Flux-landscape analyses shed light on the nonlinear nonadiabatic mechanism of epigenetic cell fate decision making.

摘要

组蛋白的表观遗传修饰对真核基因活性至关重要,而表观遗传组蛋白状态在很大程度上取决于特定因子(如转录因子(TFs))与 DNA 的结合。当 TF 的合成受到组蛋白状态的调控时,TF 和组蛋白状态之间的动态相关性就不明显了。这种类型的反馈调节关系在基因网络中无处不在,以确定分化和其他细胞转化中的细胞命运。为了深入了解这种动态反馈调节,我们通过将反应动力学的 Doi-Peliti 算子形式扩展到耦合分子过程的问题,从理论上分析了一种表观遗传基因开关模型。自旋-1 和自旋-1/2 相干态表示被引入,以统一描述组蛋白的随机反应和 TF 的结合或解结合,这为这些分子过程之间的时间尺度差异的影响提供了简洁的视角;即使 TF 与 DNA 的结合或解结合是绝热快速的,缓慢的非绝热组蛋白动力学也会导致基因状态分布景观中概率通量围绕盆地的明显循环流动,从而导致基因开关中的滞后现象。与 TF 数量变化先于组蛋白状态变化的一般观点相反,在自调节电路中,通量促使组蛋白在 TF 数量变化之前发生修饰。通量-景观分析揭示了表观遗传细胞命运决策的非线性非绝热机制。

相似文献

1
Stochastic epigenetic dynamics of gene switching.基因开关的随机表观遗传动力学。
Phys Rev E. 2020 Oct;102(4-1):042408. doi: 10.1103/PhysRevE.102.042408.
2
Effects of Collective Histone State Dynamics on Epigenetic Landscape and Kinetics of Cell Reprogramming.组蛋白集体状态动力学对表观遗传格局及细胞重编程动力学的影响
Sci Rep. 2015 Nov 19;5:16746. doi: 10.1038/srep16746.
3
Time scales in epigenetic dynamics and phenotypic heterogeneity of embryonic stem cells.胚胎干细胞表观遗传动态和表型异质性的时间尺度。
PLoS Comput Biol. 2013;9(12):e1003380. doi: 10.1371/journal.pcbi.1003380. Epub 2013 Dec 12.
4
Reaction coordinates for the flipping of genetic switches.基因开关翻转的反应坐标。
Biophys J. 2008 May 1;94(9):3413-23. doi: 10.1529/biophysj.107.116699. Epub 2008 Jan 25.
5
Altering chromatin methylation patterns and the transcriptional network involved in regulation of hematopoietic stem cell fate.改变染色质甲基化模式和参与造血干细胞命运调控的转录网络。
J Cell Physiol. 2020 Oct;235(10):6404-6423. doi: 10.1002/jcp.29642. Epub 2020 Feb 13.
6
A deterministic map of Waddington's epigenetic landscape for cell fate specification.用于细胞命运决定的沃丁顿表观遗传景观的确定性图谱。
BMC Syst Biol. 2011 May 27;5:85. doi: 10.1186/1752-0509-5-85.
7
Inferring epigenetic and transcriptional regulation during blood cell development with a mixture of sparse linear models.利用稀疏线性模型混合物推断血细胞发育过程中的表观遗传和转录调控。
Bioinformatics. 2012 Sep 15;28(18):2297-303. doi: 10.1093/bioinformatics/bts362. Epub 2012 Jun 23.
8
How Communication Between Nucleosomes Enables Spreading and Epigenetic Memory of Histone Modifications.核小体间的通讯如何促进组蛋白修饰的延伸和表观遗传记忆。
Bioessays. 2017 Dec;39(12). doi: 10.1002/bies.201700053. Epub 2017 Oct 16.
9
Stochastic switching in gene networks can occur by a single-molecule event or many molecular steps.基因网络中的随机切换可以通过单个分子事件或多个分子步骤发生。
J Mol Biol. 2010 Feb 12;396(1):230-44. doi: 10.1016/j.jmb.2009.11.035. Epub 2009 Nov 18.
10
Adiabatic and non-adiabatic non-equilibrium stochastic dynamics of single regulating genes.单调控基因的绝热和非绝热非平衡随机动力学。
J Phys Chem B. 2011 Feb 10;115(5):1254-61. doi: 10.1021/jp109036y. Epub 2010 Dec 28.

引用本文的文献

1
Irreversibility in bacterial regulatory networks.细菌调控网络的不可逆转性。
Sci Adv. 2024 Aug 30;10(35):eado3232. doi: 10.1126/sciadv.ado3232. Epub 2024 Aug 28.
2
Scalable control of developmental timetables by epigenetic switching networks.通过表观遗传开关网络对发育时间表进行可扩展控制。
J R Soc Interface. 2021 Jul;18(180):20210109. doi: 10.1098/rsif.2021.0109. Epub 2021 Jul 21.
3
Quantifying the Stability of Coupled Genetic and Epigenetic Switches With Variational Methods.用变分方法量化耦合遗传和表观遗传开关的稳定性
Front Genet. 2021 Jan 22;11:636724. doi: 10.3389/fgene.2020.636724. eCollection 2020.