Literature DB >> 19246388

Exploring the roles of noise in the eukaryotic cell cycle.

Sandip Kar1, William T Baumann, Mark R Paul, John J Tyson.   

Abstract

The DNA replication-division cycle of eukaryotic cells is controlled by a complex network of regulatory proteins, called cyclin-dependent kinases, and their activators and inhibitors. Although comprehensive and accurate deterministic models of the control system are available for yeast cells, reliable stochastic simulations have not been carried out because the full reaction network has yet to be expressed in terms of elementary reaction steps. As a first step in this direction, we present a simplified version of the control system that is suitable for exact stochastic simulation of intrinsic noise caused by molecular fluctuations and extrinsic noise because of unequal division. The model is consistent with many characteristic features of noisy cell cycle progression in yeast populations, including the observation that mRNAs are present in very low abundance (approximately 1 mRNA molecule per cell for each expressed gene). For the control system to operate reliably at such low mRNA levels, some specific mRNAs in our model must have very short half-lives (<1 min). If these mRNA molecules are longer-lived (perhaps 2 min), then the intrinsic noise in our simulations is too large, and there must be some additional noise suppression mechanisms at work in cells.

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Year:  2009        PMID: 19246388      PMCID: PMC2672517          DOI: 10.1073/pnas.0810034106

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  23 in total

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Authors:  Frederick R Cross; Vincent Archambault; Mary Miller; Martha Klovstad
Journal:  Mol Biol Cell       Date:  2002-01       Impact factor: 4.138

2.  Regulation of the eukaryotic cell cycle: molecular antagonism, hysteresis, and irreversible transitions.

Authors:  J J Tyson; B Novak
Journal:  J Theor Biol       Date:  2001-05-21       Impact factor: 2.691

3.  Global analysis of protein localization in budding yeast.

Authors:  Won-Ki Huh; James V Falvo; Luke C Gerke; Adam S Carroll; Russell W Howson; Jonathan S Weissman; Erin K O'Shea
Journal:  Nature       Date:  2003-10-16       Impact factor: 49.962

4.  Intrinsic and extrinsic contributions to stochasticity in gene expression.

Authors:  Peter S Swain; Michael B Elowitz; Eric D Siggia
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-17       Impact factor: 11.205

5.  Effects of stochasticity in models of the cell cycle: from quantized cycle times to noise-induced oscillations.

Authors:  Ralf Steuer
Journal:  J Theor Biol       Date:  2004-06-07       Impact factor: 2.691

6.  The yeast cell-cycle network is robustly designed.

Authors:  Fangting Li; Tao Long; Ying Lu; Qi Ouyang; Chao Tang
Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-22       Impact factor: 11.205

Review 7.  Cytometry of the cell cycle: cycling through history.

Authors:  Zbigniew Darzynkiewicz; Harry Crissman; James W Jacobberger
Journal:  Cytometry A       Date:  2004-03       Impact factor: 4.355

8.  A stochastic, molecular model of the fission yeast cell cycle: role of the nucleocytoplasmic ratio in cycle time regulation.

Authors:  A Sveiczer; J J Tyson; B Novak
Journal:  Biophys Chem       Date:  2001-08-30       Impact factor: 2.352

9.  Single-RNA counting reveals alternative modes of gene expression in yeast.

Authors:  Daniel Zenklusen; Daniel R Larson; Robert H Singer
Journal:  Nat Struct Mol Biol       Date:  2008-11-16       Impact factor: 15.369

10.  A quantitative estimation of the global translational activity in logarithmically growing yeast cells.

Authors:  Tobias von der Haar
Journal:  BMC Syst Biol       Date:  2008-10-16
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  47 in total

1.  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

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

Authors:  Jin Wang; Chunhe Li; Erkang Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-14       Impact factor: 11.205

3.  Interplay between intrinsic noise and the stochasticity of the cell cycle in bacterial colonies.

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Journal:  Biophys J       Date:  2010-06-02       Impact factor: 4.033

Review 4.  Modeling the dynamic behavior of biochemical regulatory networks.

Authors:  John J Tyson; Teeraphan Laomettachit; Pavel Kraikivski
Journal:  J Theor Biol       Date:  2018-11-28       Impact factor: 2.691

5.  Non-genetic heterogeneity from stochastic partitioning at cell division.

Authors:  Dann Huh; Johan Paulsson
Journal:  Nat Genet       Date:  2010-12-26       Impact factor: 38.330

6.  Complex systems: from chemistry to systems biology.

Authors:  John Ross; Adam P Arkin
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-20       Impact factor: 11.205

7.  Identification of the molecular mechanisms for cell-fate selection in budding yeast through mathematical modeling.

Authors:  Yongkai Li; Ming Yi; Xiufen Zou
Journal:  Biophys J       Date:  2013-05-21       Impact factor: 4.033

8.  Protein folding stability and dynamics imaged in a living cell.

Authors:  Simon Ebbinghaus; Apratim Dhar; J Douglas McDonald; Martin Gruebele
Journal:  Nat Methods       Date:  2010-02-28       Impact factor: 28.547

9.  Derivation and experimental comparison of cell-division probability densities.

Authors:  R Leander; E J Allen; S P Garbett; D R Tyson; V Quaranta
Journal:  J Theor Biol       Date:  2014-06-12       Impact factor: 2.691

10.  Stochastic modeling of B lymphocyte terminal differentiation and its suppression by dioxin.

Authors:  Qiang Zhang; Sudin Bhattacharya; Douglas E Kline; Robert B Crawford; Rory B Conolly; Russell S Thomas; Norbert E Kaminski; Melvin E Andersen
Journal:  BMC Syst Biol       Date:  2010-04-01
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