• 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

从代谢和基因调控网络中的简单振荡行为到复杂振荡行为。

From simple to complex oscillatory behavior in metabolic and genetic control networks.

作者信息

Goldbeter Albert, Gonze Didier, Houart Gerald, Leloup Jean-Christophe, Halloy Jose, Dupont Genevieve

机构信息

Unite de Chronobiologie theorique, Faculte des Sciences, Universite Libre de Bruxelles, Campus Plaine, C.P. 231, B-1050 Brussels, Belgium.

出版信息

Chaos. 2001 Mar;11(1):247-260. doi: 10.1063/1.1345727.

DOI:10.1063/1.1345727
PMID:12779458
Abstract

We present an overview of mechanisms responsible for simple or complex oscillatory behavior in metabolic and genetic control networks. Besides simple periodic behavior corresponding to the evolution toward a limit cycle we consider complex modes of oscillatory behavior such as complex periodic oscillations of the bursting type and chaos. Multiple attractors are also discussed, e.g., the coexistence between a stable steady state and a stable limit cycle (hard excitation), or the coexistence between two simultaneously stable limit cycles (birhythmicity). We discuss mechanisms responsible for the transition from simple to complex oscillatory behavior by means of a number of models serving as selected examples. The models were originally proposed to account for simple periodic oscillations observed experimentally at the cellular level in a variety of biological systems. In a second stage, these models were modified to allow for complex oscillatory phenomena such as bursting, birhythmicity, or chaos. We consider successively (1) models based on enzyme regulation, proposed for glycolytic oscillations and for the control of successive phases of the cell cycle, respectively; (2) a model for intracellular Ca(2+) oscillations based on transport regulation; (3) a model for oscillations of cyclic AMP based on receptor desensitization in Dictyostelium cells; and (4) a model based on genetic regulation for circadian rhythms in Drosophila. Two main classes of mechanism leading from simple to complex oscillatory behavior are identified, namely (i) the interplay between two endogenous oscillatory mechanisms, which can take multiple forms, overt or more subtle, depending on whether the two oscillators each involve their own regulatory feedback loop or share a common feedback loop while differing by some related process, and (ii) self-modulation of the oscillator through feedback from the system's output on one of the parameters controlling oscillatory behavior. However, the latter mechanism may also be viewed as involving the interplay between two feedback processes, each of which might be capable of producing oscillations. Although our discussion primarily focuses on the case of autonomous oscillatory behavior, we also consider the case of nonautonomous complex oscillations in a model for circadian oscillations subjected to periodic forcing by a light-dark cycle and show that the occurrence of entrainment versus chaos in these conditions markedly depends on the wave form of periodic forcing. (c) 2001 American Institute of Physics.

摘要

我们概述了代谢和遗传控制网络中导致简单或复杂振荡行为的机制。除了对应于向极限环演化的简单周期性行为外,我们还考虑了复杂的振荡行为模式,如爆发型的复杂周期性振荡和混沌。还讨论了多个吸引子,例如稳定稳态与稳定极限环之间的共存(硬激发),或两个同时稳定的极限环之间的共存(双节律性)。我们通过一些作为选定示例的模型,讨论了导致从简单振荡行为向复杂振荡行为转变的机制。这些模型最初是为了解释在各种生物系统的细胞水平上实验观察到的简单周期性振荡而提出的。在第二阶段,对这些模型进行了修改,以允许出现复杂的振荡现象,如爆发、双节律性或混沌。我们依次考虑:(1)基于酶调节的模型,分别用于糖酵解振荡和细胞周期连续阶段的控制;(2)基于运输调节的细胞内Ca(2+)振荡模型;(3)基于盘基网柄菌细胞中受体脱敏的环磷酸腺苷振荡模型;以及(4)基于遗传调节的果蝇昼夜节律模型。确定了导致从简单振荡行为向复杂振荡行为转变的两类主要机制,即(i)两种内源性振荡机制之间的相互作用,其可以有多种形式,明显的或更微妙的,这取决于这两个振荡器各自是否涉及自身的调节反馈回路,或者是否共享一个共同的反馈回路,同时在一些相关过程上有所不同;以及(ii)振荡器通过系统输出对控制振荡行为的参数之一的反馈进行自我调制。然而,后一种机制也可以被视为涉及两个反馈过程之间的相互作用,每个反馈过程都可能能够产生振荡。尽管我们的讨论主要集中在自主振荡行为的情况,但我们也考虑了在一个受明暗周期周期性强迫的昼夜振荡模型中的非自主复杂振荡情况,并表明在这些条件下同步与混沌的出现明显取决于周期性强迫的波形。(c)2001美国物理研究所。

相似文献

1
From simple to complex oscillatory behavior in metabolic and genetic control networks.从代谢和基因调控网络中的简单振荡行为到复杂振荡行为。
Chaos. 2001 Mar;11(1):247-260. doi: 10.1063/1.1345727.
2
Chaos and birhythmicity in a model for circadian oscillations of the PER and TIM proteins in drosophila.果蝇中PER和TIM蛋白昼夜节律振荡模型中的混沌与双节律性
J Theor Biol. 1999 Jun 7;198(3):445-59. doi: 10.1006/jtbi.1999.0924.
3
From simple to complex patterns of oscillatory behavior in a model for the mammalian cell cycle containing multiple oscillatory circuits.在一个包含多个振荡电路的哺乳动物细胞周期模型中,从简单到复杂的振荡行为模式。
Chaos. 2010 Dec;20(4):045109. doi: 10.1063/1.3527998.
4
Bifurcations in a mathematical model for circadian oscillations of clock genes.生物钟基因昼夜节律振荡数学模型中的分岔现象
J Theor Biol. 2006 Mar 7;239(1):101-22. doi: 10.1016/j.jtbi.2005.07.017. Epub 2005 Sep 6.
5
Modeling the mammalian circadian clock: sensitivity analysis and multiplicity of oscillatory mechanisms.构建哺乳动物生物钟模型:敏感性分析与振荡机制的多样性
J Theor Biol. 2004 Oct 21;230(4):541-62. doi: 10.1016/j.jtbi.2004.04.040.
6
Coupling oscillations and switches in genetic networks.基因网络中的耦合振荡与开关
Biosystems. 2010 Jan;99(1):60-9. doi: 10.1016/j.biosystems.2009.08.009. Epub 2009 Sep 6.
7
Suppression of chaos and other dynamical transitions induced by intercellular coupling in a model for cyclic AMP signaling in Dictyostelium cells.在盘基网柄菌细胞中环磷酸腺苷信号传导模型中,细胞间耦合诱导的混沌及其他动力学转变的抑制
Chaos. 1992 Oct;2(4):501-512. doi: 10.1063/1.165892.
8
Temporal self-organization in biochemical systems: periodic behavior vs. chaos.生物化学系统中的时间自组织:周期性行为与混沌
Am J Physiol. 1983 Oct;245(4):R478-83. doi: 10.1152/ajpregu.1983.245.4.R478.
9
Finding complex oscillatory phenomena in biochemical systems. An empirical approach.在生化系统中发现复杂振荡现象。一种实证方法。
Biophys Chem. 1988 Feb;29(1-2):211-7. doi: 10.1016/0301-4622(88)87040-6.
10
Designer gene networks: Towards fundamental cellular control.设计基因网络:迈向细胞基本控制
Chaos. 2001 Mar;11(1):207-220. doi: 10.1063/1.1345702.

引用本文的文献

1
Modeling nonlinear oscillator networks using physics-informed hybrid reservoir computing.使用物理信息混合储层计算对非线性振荡器网络进行建模。
Sci Rep. 2025 Jul 2;15(1):22497. doi: 10.1038/s41598-025-03957-x.
2
Nonlinear dynamics in phosphoinositide metabolism.磷酸肌醇代谢中的非线性动力学。
Curr Opin Cell Biol. 2024 Jun;88:102373. doi: 10.1016/j.ceb.2024.102373. Epub 2024 May 25.
3
Evolution and extinction can occur rapidly: a modeling approach.进化与灭绝可能迅速发生:一种建模方法。
PeerJ. 2021 Apr 13;9:e11130. doi: 10.7717/peerj.11130. eCollection 2021.
4
On the dynamical aspects of local translation at the activated synapse.在激活突触的局部翻译的动力学方面。
BMC Bioinformatics. 2020 Sep 14;21(Suppl 11):258. doi: 10.1186/s12859-020-03597-0.
5
Random Parametric Perturbations of Gene Regulatory Circuit Uncover State Transitions in Cell Cycle.基因调控回路的随机参数扰动揭示细胞周期中的状态转变
iScience. 2020 Jun 26;23(6):101150. doi: 10.1016/j.isci.2020.101150. Epub 2020 May 11.
6
Subharmonics and Chaos in Simple Periodically Forced Biomolecular Models.简单的周期性生物分子模型中的次谐波和混沌。
Biophys J. 2018 Mar 13;114(5):1232-1240. doi: 10.1016/j.bpj.2018.01.006.
7
Ancient role of / in segmentation and the transition from sequential to syncytial segmentation./在体节形成以及从顺序性体节形成向合胞体性体节形成转变过程中的古老作用。
Hereditas. 2017 Apr 27;154:8. doi: 10.1186/s41065-017-0029-1. eCollection 2017.
8
Chaos and Hyperchaos in a Model of Ribosome Autocatalytic Synthesis.核糖体自催化合成模型中的混沌与超混沌。
Sci Rep. 2016 Dec 12;6:38870. doi: 10.1038/srep38870.
9
Computational properties of mitochondria in T cell activation and fate.T细胞活化与命运中线粒体的计算特性
Open Biol. 2016 Nov;6(11). doi: 10.1098/rsob.160192.
10
Mathematical model of the Tat-Rev regulation of HIV-1 replication in an activated cell predicts the existence of oscillatory dynamics in the synthesis of viral components.Tat-Rev对激活细胞中HIV-1复制的调控的数学模型预测了病毒成分合成中振荡动力学的存在。
BMC Genomics. 2014;15 Suppl 12(Suppl 12):S1. doi: 10.1186/1471-2164-15-S12-S1. Epub 2014 Dec 19.