Literature DB >> 27708759

A mathematical model of GTPase pattern formation during single-cell wound repair.

William R Holmes1, Adriana E Golding2, William M Bement2, Leah Edelstein-Keshet3.   

Abstract

Rho GTPases are regulatory proteins whose patterns on the surface of a cell affect cell polarization, cell motility and repair of single-cell wounds. The stereotypical patterns formed by two such proteins, Rho and Cdc42, around laser-injured frog oocytes permit experimental analysis of GTPase activation, inactivation, segregation and crosstalk. Here, we review the development and analysis of a spatial model of GTPase dynamics that describe the formation of concentric zones of Rho and Cdc42 activity around wounds, and describe how this model has provided insights into the roles of the GTPase effector molecules protein kinase C (PKCβ and PKCη) and guanosine nucleotide dissociation inhibitor (GDI) in the wound response. We further demonstrate how the use of a 'sharp switch' model approximation in combination with bifurcation analysis can aid mapping the model behaviour in parameter space (approximate results confirmed with numerical simulation methods). Using these methods in combination with experimental manipulation of PKC activity (PKC overexpression (OE) and dominant negative conditions), we have shown that: (i) PKCβ most probably acts by enhancing existing positive feedbacks (from Rho to itself via the guanosine nucleotide exchange factor domain of Abr, and from Cdc42 to itself), (ii) PKCη most probably increases basal rates of inactivation (or possibly decreases basal rates of activation) of Rho and Cdc42, and (iii) the graded distribution of PKCη and its effect on initial Rho activity accounts for inversion of zones in a fraction (20%) of PKCη OE cells. Finally, we speculate that GDIs (which sequester GTPases) may have a critical role in defining the spatial domain, where the wound response may occur. This paper provides a more thorough exposition of the methods of analysis used in the investigation, whereas previous work on this topic was addressed to biologists and abbreviated such discussion.

Entities:  

Keywords:  Cdc42; Rho; guanosine nucleotide dissociation inhibitors; protein kinase C; reaction–diffusion model; wound repair

Year:  2016        PMID: 27708759      PMCID: PMC4992738          DOI: 10.1098/rsfs.2016.0032

Source DB:  PubMed          Journal:  Interface Focus        ISSN: 2042-8898            Impact factor:   3.906


  33 in total

1.  Two complementary, local excitation, global inhibition mechanisms acting in parallel can explain the chemoattractant-induced regulation of PI(3,4,5)P3 response in dictyostelium cells.

Authors:  Lan Ma; Chris Janetopoulos; Liu Yang; Peter N Devreotes; Pablo A Iglesias
Journal:  Biophys J       Date:  2004-10-01       Impact factor: 4.033

Review 2.  GDIs: central regulatory molecules in Rho GTPase activation.

Authors:  Céline DerMardirossian; Gary M Bokoch
Journal:  Trends Cell Biol       Date:  2005-07       Impact factor: 20.808

Review 3.  Rho GTPase activity zones and transient contractile arrays.

Authors:  William M Bement; Ann L Miller; George von Dassow
Journal:  Bioessays       Date:  2006-10       Impact factor: 4.345

Review 4.  Wound repair: toward understanding and integration of single-cell and multicellular wound responses.

Authors:  Kevin J Sonnemann; William M Bement
Journal:  Annu Rev Cell Dev Biol       Date:  2011-06-20       Impact factor: 13.827

5.  Synthetic spatially graded Rac activation drives cell polarization and movement.

Authors:  Benjamin Lin; William R Holmes; C Joanne Wang; Tasuku Ueno; Andrew Harwell; Leah Edelstein-Keshet; Takanari Inoue; Andre Levchenko
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-26       Impact factor: 11.205

Review 6.  GEF means go: turning on RHO GTPases with guanine nucleotide-exchange factors.

Authors:  Kent L Rossman; Channing J Der; John Sondek
Journal:  Nat Rev Mol Cell Biol       Date:  2005-02       Impact factor: 94.444

Review 7.  A comparison of mathematical models for polarization of single eukaryotic cells in response to guided cues.

Authors:  Alexandra Jilkine; Leah Edelstein-Keshet
Journal:  PLoS Comput Biol       Date:  2011-04-28       Impact factor: 4.475

8.  Concentric zones of active RhoA and Cdc42 around single cell wounds.

Authors:  Hélène A Benink; William M Bement
Journal:  J Cell Biol       Date:  2005-01-31       Impact factor: 10.539

9.  Analysis of a minimal Rho-GTPase circuit regulating cell shape.

Authors:  William R Holmes; Leah Edelstein-Keshet
Journal:  Phys Biol       Date:  2016-07-19       Impact factor: 2.583

Review 10.  A comparison of computational models for eukaryotic cell shape and motility.

Authors:  William R Holmes; Leah Edelstein-Keshet
Journal:  PLoS Comput Biol       Date:  2012-12-27       Impact factor: 4.475

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  6 in total

1.  Membrane Tension Can Enhance Adaptation to Maintain Polarity of Migrating Cells.

Authors:  Cole Zmurchok; Jared Collette; Vijay Rajagopal; William R Holmes
Journal:  Biophys J       Date:  2020-09-07       Impact factor: 4.033

2.  Simple Rho GTPase Dynamics Generate a Complex Regulatory Landscape Associated with Cell Shape.

Authors:  Cole Zmurchok; William R Holmes
Journal:  Biophys J       Date:  2020-02-04       Impact factor: 4.033

3.  Extraction of active RhoGTPases by RhoGDI regulates spatiotemporal patterning of RhoGTPases.

Authors:  Adriana E Golding; Ilaria Visco; Peter Bieling; William M Bement
Journal:  Elife       Date:  2019-10-24       Impact factor: 8.140

4.  Spatial models of pattern formation during phagocytosis.

Authors:  John Cody Herron; Shiqiong Hu; Bei Liu; Takashi Watanabe; Klaus M Hahn; Timothy C Elston
Journal:  PLoS Comput Biol       Date:  2022-10-03       Impact factor: 4.779

Review 5.  Computational modeling of single-cell mechanics and cytoskeletal mechanobiology.

Authors:  Vijay Rajagopal; William R Holmes; Peter Vee Sin Lee
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2017-11-30

6.  Cross-talk-dependent cortical patterning of Rho GTPases during cell repair.

Authors:  Alison Moe; William Holmes; Adriana E Golding; Jessica Zola; Zachary T Swider; Leah Edelstein-Keshet; William Bement
Journal:  Mol Biol Cell       Date:  2021-06-16       Impact factor: 4.138

  6 in total

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