Literature DB >> 25228772

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

Chunhe Li1, Jin Wang2.   

Abstract

Cell cycles, essential for biological function, have been investigated extensively. However, enabling a global understanding and defining a physical quantification of the stability and function of the cell cycle remains challenging. Based upon a mammalian cell cycle gene network, we uncovered the underlying Mexican hat landscape of the cell cycle. We found the emergence of three local basins of attraction and two major potential barriers along the cell cycle trajectory. The three local basins of attraction characterize the G1, S/G2, and M phases. The barriers characterize the G1 and S/G2 checkpoints, respectively, of the cell cycle, thus providing an explanation of the checkpoint mechanism for the cell cycle from the physical perspective. We found that the progression of a cell cycle is determined by two driving forces: curl flux for acceleration and potential barriers for deceleration along the cycle path. Therefore, the cell cycle can be promoted (suppressed), either by enhancing (suppressing) the flux (representing the energy input) or by lowering (increasing) the barrier along the cell cycle path. We found that both the entropy production rate and energy per cell cycle increase as the growth factor increases. This reflects that cell growth and division are driven by energy or nutrition supply. More energy input increases flux and decreases barrier along the cell cycle path, leading to faster oscillations. We also identified certain key genes and regulations for stability and progression of the cell cycle. Some of these findings were evidenced from experiments whereas others lead to predictions and potential anticancer strategies.

Entities:  

Keywords:  cell cycle checkpoints; cell cycle phases; flux; landscape

Mesh:

Substances:

Year:  2014        PMID: 25228772      PMCID: PMC4191801          DOI: 10.1073/pnas.1408628111

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


  32 in total

1.  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

2.  Quantifying robustness and dissipation cost of yeast cell cycle network: the funneled energy landscape perspectives.

Authors:  Bo Han; Jin Wang
Journal:  Biophys J       Date:  2007-03-09       Impact factor: 4.033

3.  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

4.  Potential landscape and flux framework of nonequilibrium networks: robustness, dissipation, and coherence of biochemical oscillations.

Authors:  Jin Wang; Li Xu; Erkang Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-21       Impact factor: 11.205

5.  Temporal self-organization of the cyclin/Cdk network driving the mammalian cell cycle.

Authors:  Claude Gérard; Albert Goldbeter
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-09       Impact factor: 11.205

Review 6.  Modulation of pRB/E2F functions in the regulation of cell cycle and in cancer.

Authors:  Lucy L Seville; Nita Shah; Andrew D Westwell; Weng C Chan
Journal:  Curr Cancer Drug Targets       Date:  2005-05       Impact factor: 3.428

7.  Global view of bionetwork dynamics: adaptive landscape.

Authors:  Ping Ao
Journal:  J Genet Genomics       Date:  2009-02       Impact factor: 4.275

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

Review 9.  Temporal organization of the cell cycle.

Authors:  John J Tyson; Bela Novak
Journal:  Curr Biol       Date:  2008-09-09       Impact factor: 10.834

10.  Potential energy landscape and robustness of a gene regulatory network: toggle switch.

Authors:  Keun-Young Kim; Jin Wang
Journal:  PLoS Comput Biol       Date:  2007-02-14       Impact factor: 4.475

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  38 in total

1.  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

2.  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

3.  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

4.  Cellular reprogramming dynamics follow a simple one-dimensional reaction coordinate.

Authors:  Sai Teja Pusuluri; Alex H Lang; Pankaj Mehta; Horacio Castillo
Journal:  Phys Biol       Date:  2017-10-04       Impact factor: 2.583

5.  Discrete and continuous models of probability flux of switching dynamics: Uncovering stochastic oscillations in a toggle-switch system.

Authors:  Anna Terebus; Chun Liu; Jie Liang
Journal:  J Chem Phys       Date:  2019-11-14       Impact factor: 3.488

6.  Automatic error control during forward flux sampling of rare events in master equation models.

Authors:  Max C Klein; Elijah Roberts
Journal:  J Chem Phys       Date:  2020-01-21       Impact factor: 3.488

Review 7.  Mathematical models of cell phenotype regulation and reprogramming: Make cancer cells sensitive again!

Authors:  David J Wooten; Vito Quaranta
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2017-04-07       Impact factor: 10.680

8.  Cellular reprogramming dynamics follow a simple 1D reaction coordinate.

Authors:  Sai Teja Pusuluri; Alex H Lang; Pankaj Mehta; Horacio E Castillo
Journal:  Phys Biol       Date:  2017-12-06       Impact factor: 2.583

Review 9.  How Do Cells Adapt? Stories Told in Landscapes.

Authors:  Luca Agozzino; Gábor Balázsi; Jin Wang; Ken A Dill
Journal:  Annu Rev Chem Biomol Eng       Date:  2020-06-07       Impact factor: 11.059

10.  Physical bioenergetics: Energy fluxes, budgets, and constraints in cells.

Authors:  Xingbo Yang; Matthias Heinemann; Jonathon Howard; Greg Huber; Srividya Iyer-Biswas; Guillaume Le Treut; Michael Lynch; Kristi L Montooth; Daniel J Needleman; Simone Pigolotti; Jonathan Rodenfels; Pierre Ronceray; Sadasivan Shankar; Iman Tavassoly; Shashi Thutupalli; Denis V Titov; Jin Wang; Peter J Foster
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-29       Impact factor: 11.205

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