Literature DB >> 9802951

Bifurcation analysis of a model of mitotic control in frog eggs

.   

Abstract

Novak and Tyson have proposed a realistic mathematical model of the biochemical mechanism that regulates M-phase promoting factor (MPF), the major enzymatic activity controlling mitotic cycles in frog eggs, early embryos, and cell-free egg extracts. We use bifurcation theory and numerical methods (AUTO) to characterize the codimension-one and -two bifurcation sets in this model. Our primary bifurcation parameter is the rate constant for cyclin synthesis, which can be manipulated experimentally by adding exogenously synthesized cyclin mRNA to extracts depleted of all endogenous mRNA molecules. For the secondary bifurcation parameter we use the total amount of one of the principle regulatory enzymes in the extract (ACP, the enzyme complex that labels cyclin for degradation: Wee1, the kinase that inhibits MPF; or Cdc25. the phosphatase that activates MPF). We find a rich array of physiologically distinct behaviors exhibited by the model as these parameters are varied around values that seem plausible for frog eggs and extracts. In addition to unique, stable steady states (cell cycle arrest) and limit cycle oscillations (autonomous, periodic cell division), we find parameter combinations where the control system is bistable. For instance, an interphase-arrested state may coexist with a metaphase arrested state, or two stable limit cycles of different amplitude and period may coexist. We suggest that such strange behavior is nearly unavoidable in a complex regulatory system like the cell cycle. Perhaps cells exploit some of these exotic bifurcations for control purposes that are as yet unrecognized by physiologists. Copyright 1998 Academic Press

Entities:  

Year:  1998        PMID: 9802951     DOI: 10.1006/jtbi.1998.0781

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  22 in total

1.  Dynamics of the cell cycle: checkpoints, sizers, and timers.

Authors:  Zhilin Qu; W Robb MacLellan; James N Weiss
Journal:  Biophys J       Date:  2003-12       Impact factor: 4.033

2.  Analysis of a generic model of eukaryotic cell-cycle regulation.

Authors:  Attila Csikász-Nagy; Dorjsuren Battogtokh; Katherine C Chen; Béla Novák; John J Tyson
Journal:  Biophys J       Date:  2006-03-31       Impact factor: 4.033

3.  Time scale and dimension analysis of a budding yeast cell cycle model.

Authors:  Anna Lovrics; Attila Csikász-Nagy; István Gy Zsély; Judit Zádor; Tamás Turányi; Béla Novák
Journal:  BMC Bioinformatics       Date:  2006-11-09       Impact factor: 3.169

4.  A mathematical tool for exploring the dynamics of biological networks.

Authors:  Paolo E Barbano; Marina Spivak; Marc Flajolet; Angus C Nairn; Paul Greengard; Leslie Greengard
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-21       Impact factor: 11.205

5.  Stable stochastic dynamics in yeast cell cycle.

Authors:  Yurie Okabe; Masaki Sasai
Journal:  Biophys J       Date:  2007-08-17       Impact factor: 4.033

6.  Nanoinfusion: an integrating tool to study elicitor perception and signal transduction in intact leaves.

Authors:  Stefan M Hanstein; Hubert H Felle
Journal:  New Phytol       Date:  2004-02       Impact factor: 10.151

7.  Deciphering the Dynamics of Interlocked Feedback Loops in a Model of the Mammalian Circadian Clock.

Authors:  Dorjsuren Battogtokh; John J Tyson
Journal:  Biophys J       Date:  2018-10-11       Impact factor: 4.033

8.  Cyclin aggregation and robustness of bio-switching.

Authors:  Boris M Slepchenko; Mark Terasaki
Journal:  Mol Biol Cell       Date:  2003-08-07       Impact factor: 4.138

9.  PSExplorer: whole parameter space exploration for molecular signaling pathway dynamics.

Authors:  Thai Quang Tung; Doheon Lee
Journal:  Bioinformatics       Date:  2010-08-02       Impact factor: 6.937

Review 10.  Design principles of biochemical oscillators.

Authors:  Béla Novák; John J Tyson
Journal:  Nat Rev Mol Cell Biol       Date:  2008-10-30       Impact factor: 94.444

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.