Literature DB >> 16581849

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

Attila Csikász-Nagy1, Dorjsuren Battogtokh, Katherine C Chen, Béla Novák, John J Tyson.   

Abstract

We propose a protein interaction network for the regulation of DNA synthesis and mitosis that emphasizes the universality of the regulatory system among eukaryotic cells. The idiosyncrasies of cell cycle regulation in particular organisms can be attributed, we claim, to specific settings of rate constants in the dynamic network of chemical reactions. The values of these rate constants are determined ultimately by the genetic makeup of an organism. To support these claims, we convert the reaction mechanism into a set of governing kinetic equations and provide parameter values (specific to budding yeast, fission yeast, frog eggs, and mammalian cells) that account for many curious features of cell cycle regulation in these organisms. Using one-parameter bifurcation diagrams, we show how overall cell growth drives progression through the cell cycle, how cell-size homeostasis can be achieved by two different strategies, and how mutations remodel bifurcation diagrams and create unusual cell-division phenotypes. The relation between gene dosage and phenotype can be summarized compactly in two-parameter bifurcation diagrams. Our approach provides a theoretical framework in which to understand both the universality and particularity of cell cycle regulation, and to construct, in modular fashion, increasingly complex models of the networks controlling cell growth and division.

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Year:  2006        PMID: 16581849      PMCID: PMC1471857          DOI: 10.1529/biophysj.106.081240

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  92 in total

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Review 3.  How cells coordinate growth and division.

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Review 6.  Viewpoint: putting the cell cycle in order.

Authors:  K Nasmyth
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7.  Unstable activator models for size control of the cell cycle.

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8.  Instabilities in phosphorylation-dephosphorylation cascades and cell cycle checkpoints.

Authors:  B D Aguda
Journal:  Oncogene       Date:  1999-05-06       Impact factor: 9.867

9.  Mouse development and cell proliferation in the absence of D-cyclins.

Authors:  Katarzyna Kozar; Maria A Ciemerych; Vivienne I Rebel; Hirokazu Shigematsu; Agnieszka Zagozdzon; Ewa Sicinska; Yan Geng; Qunyan Yu; Shoumo Bhattacharya; Roderick T Bronson; Koichi Akashi; Piotr Sicinski
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10.  APC-dependent proteolysis of the mitotic cyclin Clb2 is essential for mitotic exit.

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  82 in total

1.  An automaton model for the cell cycle.

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3.  Potential and flux landscapes quantify the stability and robustness of budding yeast cell cycle network.

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5.  Computational modeling of the cell cycle.

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6.  Parameter Estimation and Uncertainty Quantification for Systems Biology Models.

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Review 7.  Modeling the dynamic behavior of biochemical regulatory networks.

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Review 8.  The role of modelling in identifying drug targets for diseases of the cell cycle.

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9.  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
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10.  The transcriptome dynamics of single cells during the cell cycle.

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