Literature DB >> 21936604

Mathematical analysis of steady-state solutions in compartment and continuum models of cell polarization.

Zhenzhen Zheng1, Ching-Shan Chou, Tau-Mu Yi, Qing Nie.   

Abstract

Cell polarization, in which substances previously uniformly distributed become asymmetric due to external or/and internal stimulation, is a fundamental process underlying cell mobility, cell division, and other polarized functions. The yeast cell S. cerevisiae has been a model system to study cell polarization. During mating, yeast cells sense shallow external spatial gradients and respond by creating steeper internal gradients of protein aligned with the external cue. The complex spatial dynamics during yeast mating polarization consists of positive feedback, degradation, global negative feedback control, and cooperative effects in protein synthesis. Understanding such complex regulations and interactions is critical to studying many important characteristics in cell polarization including signal amplification, tracking dynamic signals, and potential trade-off between achieving both objectives in a robust fashion. In this paper, we study some of these questions by analyzing several models with different spatial complexity: two compartments, three compartments, and continuum in space. The step-wise approach allows detailed characterization of properties of the steady state of the system, providing more insights for biological regulations during cell polarization. For cases without membrane diffusion, our study reveals that increasing the number of spatial compartments results in an increase in the number of steady-state solutions, in particular, the number of stable steady-state solutions, with the continuum models possessing infinitely many steady-state solutions. Through both analysis and simulations, we find that stronger positive feedback, reduced diffusion, and a shallower ligand gradient all result in more steady-state solutions, although most of these are not optimally aligned with the gradient. We explore in the different settings the relationship between the number of steady-state solutions and the extent and accuracy of the polarization. Taken together these results furnish a detailed description of the factors that influence the tradeoff between a single correctly aligned but poorly polarized stable steady-state solution versus multiple more highly polarized stable steady-state solutions that may be incorrectly aligned with the external gradient.

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Year:  2011        PMID: 21936604      PMCID: PMC3806509          DOI: 10.3934/mbe.2011.8.1135

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  28 in total

1.  Models of eukaryotic gradient sensing: application to chemotaxis of amoebae and neutrophils.

Authors:  Andre Levchenko; Pablo A Iglesias
Journal:  Biophys J       Date:  2002-01       Impact factor: 4.033

Review 2.  Eukaryotic chemotaxis: distinctions between directional sensing and polarization.

Authors:  Peter Devreotes; Chris Janetopoulos
Journal:  J Biol Chem       Date:  2003-04-02       Impact factor: 5.157

Review 3.  Modeling the cell's guidance system.

Authors:  Pablo A Iglesias; Andre Levchenko
Journal:  Sci STKE       Date:  2002-09-03

4.  Dynamics of Cdc42 network embodies a Turing-type mechanism of yeast cell polarity.

Authors:  Andrew B Goryachev; Alexandra V Pokhilko
Journal:  FEBS Lett       Date:  2008-03-31       Impact factor: 4.124

Review 5.  Plasma membrane microdomains.

Authors:  Frederick R Maxfield
Journal:  Curr Opin Cell Biol       Date:  2002-08       Impact factor: 8.382

Review 6.  Coordinated protein sorting, targeting and distribution in polarized cells.

Authors:  Ira Mellman; W James Nelson
Journal:  Nat Rev Mol Cell Biol       Date:  2008-11       Impact factor: 94.444

7.  Self-organization of polarized cell signaling via autocrine circuits: computational model analysis.

Authors:  Ivan V Maly; H Steven Wiley; Douglas A Lauffenburger
Journal:  Biophys J       Date:  2004-01       Impact factor: 4.033

Review 8.  Polarization of cell growth in yeast. I. Establishment and maintenance of polarity states.

Authors:  D Pruyne; A Bretscher
Journal:  J Cell Sci       Date:  2000-02       Impact factor: 5.285

9.  Modeling robustness tradeoffs in yeast cell polarization induced by spatial gradients.

Authors:  Ching-Shan Chou; Qing Nie; Tau-Mu Yi
Journal:  PLoS One       Date:  2008-09-01       Impact factor: 3.240

Review 10.  Cell polarization: a comparative cell biology and immunological view.

Authors:  M Vicente-Manzanares; F Sánchez-Madrid
Journal:  Dev Immunol       Date:  2000
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  3 in total

1.  Spatiotemporal dynamics of a reaction-diffusion model of pollen tube tip growth.

Authors:  Chenwei Tian; Qingyan Shi; Xinping Cui; Jingzhe Guo; Zhenbiao Yang; Junping Shi
Journal:  J Math Biol       Date:  2019-07-06       Impact factor: 2.259

2.  Alternative cell polarity behaviours arise from changes in G-protein spatial dynamics.

Authors:  Ching-Shan Chou; Travis I Moore; Qing Nie; Tau-Mu Yi
Journal:  IET Syst Biol       Date:  2015-04       Impact factor: 1.615

3.  On the influence of cell shape on dynamic reaction-diffusion polarization patterns.

Authors:  K Eroumé; A Vasilevich; S Vermeulen; J de Boer; A Carlier
Journal:  PLoS One       Date:  2021-03-18       Impact factor: 3.240

  3 in total

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