Literature DB >> 12388094

Regulation of the mammalian cell cycle: a model of the G1-to-S transition.

Zhilin Qu1, James N Weiss, W Robb MacLellan.   

Abstract

We have formulated a mathematical model for regulation of the G(1)-to-S transition of the mammalian cell cycle. This mathematical model incorporates the key molecules and interactions that have been identified experimentally. By subdividing these critical molecules into modules, we have been able to systematically analyze the contribution of each to dynamics of the G(1)-to-S transition. The primary module, which includes the interactions between cyclin E (CycE), cyclin-dependent kinase 2 (CDK2), and protein phosphatase CDC25A, exhibits dynamics such as limit cycle, bistability, and excitable transient. The positive feedback between CycE and transcription factor E2F causes bistability, provided that the total E2F is constant and the retinoblastoma protein (Rb) can be hyperphosphorylated. The positive feedback between active CDK2 and cyclin-dependent kinase inhibitor (CKI) generates a limit cycle. When combined with the primary module, the E2F/Rb and CKI modules potentiate or attenuate the dynamics generated by the primary module. In addition, we found that multisite phosphorylation of CDC25A, Rb, and CKI was critical for the generation of dynamics required for cell cycle progression.

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Year:  2002        PMID: 12388094     DOI: 10.1152/ajpcell.00066.2002

Source DB:  PubMed          Journal:  Am J Physiol Cell Physiol        ISSN: 0363-6143            Impact factor:   4.249


  54 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.  Multisite phosphorylation and network dynamics of cyclin-dependent kinase signaling in the eukaryotic cell cycle.

Authors:  Ling Yang; W Robb MacLellan; Zhangang Han; James N Weiss; Zhilin Qu
Journal:  Biophys J       Date:  2004-06       Impact factor: 4.033

3.  Hybrid modeling and simulation of stochastic effects on progression through the eukaryotic cell cycle.

Authors:  Zhen Liu; Yang Pu; Fei Li; Clifford A Shaffer; Stefan Hoops; John J Tyson; Yang Cao
Journal:  J Chem Phys       Date:  2012-01-21       Impact factor: 3.488

4.  A skeleton model for the network of cyclin-dependent kinases driving the mammalian cell cycle.

Authors:  Claude Gérard; Albert Goldbeter
Journal:  Interface Focus       Date:  2010-12-01       Impact factor: 3.906

5.  Computational modeling of signaling pathways mediating cell cycle checkpoint control and apoptotic responses to ionizing radiation-induced DNA damage.

Authors:  Yuchao Zhao; In Chio Lou; Rory B Conolly
Journal:  Dose Response       Date:  2011-10-25       Impact factor: 2.658

6.  Hysteresis and cell cycle transitions: how crucial is it?

Authors:  Zhangang Han; Ling Yang; W Robb MacLellan; James N Weiss; Zhilin Qu
Journal:  Biophys J       Date:  2004-12-30       Impact factor: 4.033

7.  Linking cell division to cell growth in a spatiotemporal model of the cell cycle.

Authors:  Ling Yang; Zhangang Han; W Robb MacLellan; James N Weiss; Zhilin Qu
Journal:  J Theor Biol       Date:  2006-01-04       Impact factor: 2.691

Review 8.  Mathematical modeling as a tool for investigating cell cycle control networks.

Authors:  Jill C Sible; John J Tyson
Journal:  Methods       Date:  2007-02       Impact factor: 3.608

9.  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

Review 10.  The role of modelling in identifying drug targets for diseases of the cell cycle.

Authors:  Robert G Clyde; James L Bown; Ted R Hupp; Nikolai Zhelev; John W Crawford
Journal:  J R Soc Interface       Date:  2006-10-22       Impact factor: 4.118

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