• 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

用于将动态信息稳健地编码为胚胎模式的几何模型。

Geometric models for robust encoding of dynamical information into embryonic patterns.

机构信息

Department of Physics, McGill University, Montreal, Canada.

Division of Developmental Biology, Department of Biology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.

出版信息

Elife. 2020 Aug 10;9:e55778. doi: 10.7554/eLife.55778.

DOI:10.7554/eLife.55778
PMID:32773041
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7470844/
Abstract

During development, cells gradually assume specialized fates via changes of transcriptional dynamics, sometimes even within the same developmental stage. For anterior-posterior (AP) patterning in metazoans, it has been suggested that the gradual transition from a dynamic genetic regime to a static one is encoded by different transcriptional modules. In that case, the static regime has an essential role in pattern formation in addition to its maintenance function. In this work, we introduce a geometric approach to study such transition. We exhibit two types of genetic regime transitions arising through local or global bifurcations, respectively. We find that the global bifurcation type is more generic, more robust, and better preserves dynamical information. This could parsimoniously explain common features of metazoan segmentation, such as changes of periods leading to waves of gene expressions, 'speed/frequency-gradient' dynamics, and changes of wave patterns. Geometric approaches appear as possible alternatives to gene regulatory networks to understand development.

摘要

在发育过程中,细胞通过转录动力学的变化逐渐获得特化命运,有时甚至在同一发育阶段也是如此。对于后生动物的前后(AP)模式形成,有人提出,从动态遗传状态到静态遗传状态的逐渐转变是由不同的转录模块编码的。在这种情况下,除了维持功能外,静态状态在模式形成中起着至关重要的作用。在这项工作中,我们引入了一种几何方法来研究这种转变。我们展示了分别通过局部或全局分叉产生的两种遗传状态转变类型。我们发现,全局分叉类型更通用、更稳健,并且更好地保留了动力学信息。这可以简洁地解释后生动物分节的常见特征,例如导致基因表达波的周期变化、“速度/频率梯度”动力学以及波型变化。几何方法似乎是理解发育的替代基因调控网络的可能方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/34728cbe3d36/elife-55778-fig7-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/b7cf7a5195c1/elife-55778-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/c490ab87d1d6/elife-55778-fig1-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/1bec3116bc63/elife-55778-fig1-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/e7b0d27c06b7/elife-55778-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/8c80094b289a/elife-55778-fig2-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/23f771e49687/elife-55778-fig2-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/5546519a4678/elife-55778-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/29a4eacd7177/elife-55778-fig3-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/ef4148e01303/elife-55778-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/199cd1600ace/elife-55778-fig4-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/625b1b59f028/elife-55778-fig4-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/405e27ea988e/elife-55778-fig4-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/a07ab3ae3e29/elife-55778-fig4-figsupp4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/a637ef64c574/elife-55778-fig4-figsupp5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/54728557e6e1/elife-55778-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/fe0a96f8b05b/elife-55778-fig5-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/a1f9257e651d/elife-55778-fig5-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/f3cdb7bc913d/elife-55778-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/71d99830f438/elife-55778-fig6-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/6625ab0d6526/elife-55778-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/a4263a73e5a9/elife-55778-fig7-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/34728cbe3d36/elife-55778-fig7-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/b7cf7a5195c1/elife-55778-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/c490ab87d1d6/elife-55778-fig1-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/1bec3116bc63/elife-55778-fig1-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/e7b0d27c06b7/elife-55778-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/8c80094b289a/elife-55778-fig2-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/23f771e49687/elife-55778-fig2-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/5546519a4678/elife-55778-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/29a4eacd7177/elife-55778-fig3-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/ef4148e01303/elife-55778-fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/199cd1600ace/elife-55778-fig4-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/625b1b59f028/elife-55778-fig4-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/405e27ea988e/elife-55778-fig4-figsupp3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/a07ab3ae3e29/elife-55778-fig4-figsupp4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/a637ef64c574/elife-55778-fig4-figsupp5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/54728557e6e1/elife-55778-fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/fe0a96f8b05b/elife-55778-fig5-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/a1f9257e651d/elife-55778-fig5-figsupp2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/f3cdb7bc913d/elife-55778-fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/71d99830f438/elife-55778-fig6-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/6625ab0d6526/elife-55778-fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/a4263a73e5a9/elife-55778-fig7-figsupp1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35ae/7470844/34728cbe3d36/elife-55778-fig7-figsupp2.jpg

相似文献

1
Geometric models for robust encoding of dynamical information into embryonic patterns.用于将动态信息稳健地编码为胚胎模式的几何模型。
Elife. 2020 Aug 10;9:e55778. doi: 10.7554/eLife.55778.
2
Deriving structure from evolution: metazoan segmentation.从进化中推导结构:后生动物的体节形成
Mol Syst Biol. 2007;3:154. doi: 10.1038/msb4100192. Epub 2007 Dec 18.
3
Morphogen-regulated contact-mediated signaling between cells can drive the transitions underlying body segmentation in vertebrates.形态发生素调节的细胞间接触介导的信号转导可以驱动脊椎动物体节形成的转变。
Phys Biol. 2021 Nov 11;19(1). doi: 10.1088/1478-3975/ac31a3.
4
Evolution of networks for body plan patterning; interplay of modularity, robustness and evolvability.体节模式形成网络的进化;模块性、稳健性和可进化性的相互作用。
PLoS Comput Biol. 2011 Oct;7(10):e1002208. doi: 10.1371/journal.pcbi.1002208. Epub 2011 Oct 6.
5
Evolution and multiple roles of the Pancrustacea specific transcription factor zelda in insects.泛甲壳动物特异性转录因子塞尔达在昆虫中的进化及多种作用
PLoS Genet. 2017 Jul 3;13(7):e1006868. doi: 10.1371/journal.pgen.1006868. eCollection 2017 Jul.
6
A re-inducible gap gene cascade patterns the anterior-posterior axis of insects in a threshold-free fashion.一个可重新诱导的缺口基因级联以无阈值的方式模式化昆虫的前后轴。
Elife. 2018 Dec 20;7:e41208. doi: 10.7554/eLife.41208.
7
Phenotypic models of evolution and development: geometry as destiny.进化和发育的表型模型:几何即命运。
Curr Opin Genet Dev. 2012 Dec;22(6):627-33. doi: 10.1016/j.gde.2012.09.001. Epub 2012 Sep 28.
8
Speeding up anterior-posterior patterning of insects by differential initialization of the gap gene cascade.通过差异初始化间隙基因级联来加速昆虫的前后模式形成。
Dev Biol. 2020 Apr 1;460(1):20-31. doi: 10.1016/j.ydbio.2019.04.015. Epub 2019 May 7.
9
Evolution-development congruence in pattern formation dynamics: Bifurcations in gene expression and regulation of networks structures.形态发生动力学中的进化-发育一致性:基因表达的分岔和网络结构的调控。
J Exp Zool B Mol Dev Evol. 2016 Jan;326(1):61-84. doi: 10.1002/jez.b.22666.
10
Developmental pattern formation: insights from physics and biology.发育模式形成:物理学和生物学的见解。
Science. 2012 Oct 12;338(6104):210-2. doi: 10.1126/science.1225182.

引用本文的文献

1
From genes to patterns: a framework for modeling the emergence of embryonic development from transcriptional regulation.从基因到模式:一个基于转录调控对胚胎发育起源进行建模的框架。
Front Cell Dev Biol. 2025 Mar 20;13:1522725. doi: 10.3389/fcell.2025.1522725. eCollection 2025.
2
Nonreciprocal synchronization in embryonic oscillator ensembles.胚胎振荡器集合中的非互易同步。
Proc Natl Acad Sci U S A. 2024 Sep 3;121(36):e2401604121. doi: 10.1073/pnas.2401604121. Epub 2024 Aug 27.
3
The Clock and Wavefront Self-Organizing model recreates the dynamics of mouse somitogenesis in vivo and in vitro.

本文引用的文献

1
Recapitulating the human segmentation clock with pluripotent stem cells.用多能干细胞重现人类胚胎分割时钟。
Nature. 2020 Apr;580(7801):124-129. doi: 10.1038/s41586-020-2144-9. Epub 2020 Apr 1.
2
In vitro characterization of the human segmentation clock.体外鉴定人类节段时钟。
Nature. 2020 Apr;580(7801):113-118. doi: 10.1038/s41586-019-1885-9. Epub 2020 Jan 8.
3
Speeding up anterior-posterior patterning of insects by differential initialization of the gap gene cascade.通过差异初始化间隙基因级联来加速昆虫的前后模式形成。
时钟和波前自组织模型再现了体内和体外小鼠体节发生的动力学。
Development. 2024 May 15;151(10). doi: 10.1242/dev.202606. Epub 2024 May 16.
4
Ripply suppresses Tbx6 to induce dynamic-to-static conversion in somite segmentation.波纹状抑制 Tbx6 诱导体节分割中的动态到静态的转换。
Nat Commun. 2023 Apr 13;14(1):2115. doi: 10.1038/s41467-023-37745-w.
5
Arnold tongue entrainment reveals dynamical principles of the embryonic segmentation clock.阿诺德舌诱导揭示了胚胎分节时钟的动力学原理。
Elife. 2022 Oct 12;11:e79575. doi: 10.7554/eLife.79575.
6
Latent space of a small genetic network: Geometry of dynamics and information.小遗传网络的潜在空间:动力学与信息的几何
Proc Natl Acad Sci U S A. 2022 Jun 28;119(26):e2113651119. doi: 10.1073/pnas.2113651119. Epub 2022 Jun 22.
7
Nonmodular oscillator and switch based on RNA decay drive regeneration of multimodal gene expression.基于 RNA 衰减的非模块化振荡器和开关驱动多模态基因表达的再生。
Nucleic Acids Res. 2022 Apr 22;50(7):3693-3708. doi: 10.1093/nar/gkac217.
8
Waves in Embryonic Development.胚胎发育中的波。
Annu Rev Biophys. 2022 May 9;51:327-353. doi: 10.1146/annurev-biophys-111521-102500. Epub 2022 Feb 4.
9
Patterning with clocks and genetic cascades: Segmentation and regionalization of vertebrate versus insect body plans.利用时钟和基因级联进行模式形成:脊椎动物与昆虫体节模式的分割和区域化。
PLoS Genet. 2021 Oct 14;17(10):e1009812. doi: 10.1371/journal.pgen.1009812. eCollection 2021 Oct.
10
Novel generic models for differentiating stem cells reveal oscillatory mechanisms.新型通用干细胞分化模型揭示了振荡机制。
J R Soc Interface. 2021 Oct;18(183):20210442. doi: 10.1098/rsif.2021.0442. Epub 2021 Oct 6.
Dev Biol. 2020 Apr 1;460(1):20-31. doi: 10.1016/j.ydbio.2019.04.015. Epub 2019 May 7.
4
Modulation of Phase Shift between Wnt and Notch Signaling Oscillations Controls Mesoderm Segmentation.Wnt 和 Notch 信号振荡之间的相位移动调节控制中胚层的分段。
Cell. 2018 Feb 22;172(5):1079-1090.e12. doi: 10.1016/j.cell.2018.01.026.
5
A damped oscillator imposes temporal order on posterior gap gene expression in Drosophila.阻尼振荡器为果蝇后间隙基因表达赋予时间顺序。
PLoS Biol. 2018 Feb 16;16(2):e2003174. doi: 10.1371/journal.pbio.2003174. eCollection 2018 Feb.
6
Gene-free methodology for cell fate dynamics during development.基因自由的方法学用于研究发育过程中的细胞命运动态。
Elife. 2017 Dec 13;6:e30743. doi: 10.7554/eLife.30743.
7
Cellular reprogramming dynamics follow a simple 1D reaction coordinate.细胞重编程动力学遵循简单的一维反应坐标。
Phys Biol. 2017 Dec 6;15(1):016001. doi: 10.1088/1478-3975/aa90e0.
8
Speed regulation of genetic cascades allows for evolvability in the body plan specification of insects.遗传级联的速度调节允许昆虫的身体形态规范具有可进化性。
Proc Natl Acad Sci U S A. 2017 Oct 10;114(41):E8646-E8655. doi: 10.1073/pnas.1702478114. Epub 2017 Sep 25.
9
Dynamic patterning by the Drosophila pair-rule network reconciles long-germ and short-germ segmentation.果蝇成对规则网络的动态模式形成协调了长胚层和短胚层的体节形成。
PLoS Biol. 2017 Sep 27;15(9):e2002439. doi: 10.1371/journal.pbio.2002439. eCollection 2017 Sep.
10
Excitable Dynamics and Yap-Dependent Mechanical Cues Drive the Segmentation Clock.兴奋性动力学和Yap依赖的机械信号驱动节段时钟。
Cell. 2017 Oct 19;171(3):668-682.e11. doi: 10.1016/j.cell.2017.08.043. Epub 2017 Sep 21.