Literature DB >> 20393126

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

Jin Wang1, Chunhe Li, Erkang Wang.   

Abstract

Studying the cell cycle process is crucial for understanding cell growth, proliferation, development, and death. We uncovered some key factors in determining the global robustness and function of the budding yeast cell cycle by exploring the underlying landscape and flux of this nonequilibrium network. The dynamics of the system is determined by both the landscape which attracts the system down to the oscillation orbit and the curl flux which drives the periodic motion on the ring. This global structure of landscape is crucial for the coherent cell cycle dynamics and function. The topography of the underlying landscape, specifically the barrier height separating basins of attractions, characterizes the capability of changing from one part of the system to another. This quantifies the stability and robustness of the system. We studied how barrier height is influenced by environmental fluctuations and perturbations on specific wirings of the cell cycle network. When the fluctuations increase, the barrier height decreases and the period and amplitude of cell cycle oscillation is more dispersed and less coherent. The corresponding dissipation of the system quantitatively measured by the entropy production rate increases. This implies that the system is less stable under fluctuations. We identified some key structural elements for wirings of the cell cycle network responsible for the change of the barrier height and therefore the global stability of the system through the sensitivity analysis. The results are in agreement with recent experiments and also provide new predictions.

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Year:  2010        PMID: 20393126      PMCID: PMC2889591          DOI: 10.1073/pnas.0910331107

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


  32 in total

1.  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

2.  Roles of noise in single and coupled multiple genetic oscillators.

Authors:  Mitsumasa Yoda; Tomohiro Ushikubo; Wataru Inoue; Masaki Sasai
Journal:  J Chem Phys       Date:  2007-03-21       Impact factor: 3.488

3.  The effects of molecular noise and size control on variability in the budding yeast cell cycle.

Authors:  Stefano Di Talia; Jan M Skotheim; James M Bean; Eric D Siggia; Frederick R Cross
Journal:  Nature       Date:  2007-08-23       Impact factor: 49.962

4.  Exploring the roles of noise in the eukaryotic cell cycle.

Authors:  Sandip Kar; William T Baumann; Mark R Paul; John J Tyson
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-25       Impact factor: 11.205

5.  Mathematical model of the fission yeast cell cycle with checkpoint controls at the G1/S, G2/M and metaphase/anaphase transitions.

Authors:  B Novak; A Csikasz-Nagy; B Gyorffy; K Chen; J J Tyson
Journal:  Biophys Chem       Date:  1998-05-05       Impact factor: 2.352

6.  Cdc20 is essential for the cyclosome-mediated proteolysis of both Pds1 and Clb2 during M phase in budding yeast.

Authors:  H H Lim; P Y Goh; U Surana
Journal:  Curr Biol       Date:  1998-02-12       Impact factor: 10.834

7.  The G(1) cyclin Cln3 promotes cell cycle entry via the transcription factor Swi6.

Authors:  Herman Wijnen; Allison Landman; Bruce Futcher
Journal:  Mol Cell Biol       Date:  2002-06       Impact factor: 4.272

8.  Ultrasensitivity in the mitogen-activated protein kinase cascade.

Authors:  C Y Huang; J E Ferrell
Journal:  Proc Natl Acad Sci U S A       Date:  1996-09-17       Impact factor: 11.205

9.  Positive feedback of G1 cyclins ensures coherent cell cycle entry.

Authors:  Jan M Skotheim; Stefano Di Talia; Eric D Siggia; Frederick R Cross
Journal:  Nature       Date:  2008-07-17       Impact factor: 49.962

10.  Roles and regulation of Cln-Cdc28 kinases at the start of the cell cycle of Saccharomyces cerevisiae.

Authors:  L Dirick; T Böhm; K Nasmyth
Journal:  EMBO J       Date:  1995-10-02       Impact factor: 11.598

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  32 in total

1.  Landscape and global stability of nonadiabatic and adiabatic oscillations in a gene network.

Authors:  Haidong Feng; Bo Han; Jin Wang
Journal:  Biophys J       Date:  2012-03-06       Impact factor: 4.033

2.  Landscape, flux, correlation, resonance, coherence, stability, and key network wirings of stochastic circadian oscillation.

Authors:  Chunhe Li; Erkang Wang; Jin Wang
Journal:  Biophys J       Date:  2011-09-20       Impact factor: 4.033

3.  Nonequilibrium landscape theory of neural networks.

Authors:  Han Yan; Lei Zhao; Liang Hu; Xidi Wang; Erkang Wang; Jin Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-21       Impact factor: 11.205

4.  Quantifying Waddington landscapes and paths of non-adiabatic cell fate decisions for differentiation, reprogramming and transdifferentiation.

Authors:  Chunhe Li; Jin Wang
Journal:  J R Soc Interface       Date:  2013-10-16       Impact factor: 4.118

5.  Uncovering the underlying mechanism of cancer tumorigenesis and development under an immune microenvironment from global quantification of the landscape.

Authors:  Li Wenbo; Jin Wang
Journal:  J R Soc Interface       Date:  2017-06       Impact factor: 4.118

6.  Landscape and flux reveal a new global view and physical quantification of mammalian cell cycle.

Authors:  Chunhe Li; Jin Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-16       Impact factor: 11.205

7.  Mathematical approaches to modeling development and reprogramming.

Authors:  Rob Morris; Ignacio Sancho-Martinez; Tatyana O Sharpee; Juan Carlos Izpisua Belmonte
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-20       Impact factor: 11.205

8.  Epigenetic state network approach for describing cell phenotypic transitions.

Authors:  Ping Wang; Chaoming Song; Hang Zhang; Zhanghan Wu; Xiao-Jun Tian; Jianhua Xing
Journal:  Interface Focus       Date:  2014-06-06       Impact factor: 3.906

9.  Quantifying the landscape and kinetic paths for epithelial-mesenchymal transition from a core circuit.

Authors:  Chunhe Li; Tian Hong; Qing Nie
Journal:  Phys Chem Chem Phys       Date:  2016-06-21       Impact factor: 3.676

10.  Conformational state switching and pathways of chromosome dynamics in cell cycle.

Authors:  Xiakun Chu; Jin Wang
Journal:  Appl Phys Rev       Date:  2020-09       Impact factor: 19.162

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