Literature DB >> 20682247

Quantifying a pathway: kinetic analysis of actin dendritic nucleation.

Pavel Kraikivski1, Boris M Slepchenko.   

Abstract

Progress in uncovering the reaction networks that underlie important cell functions is laying the groundwork for quantitative identification of protein-interaction pathways. Since direct measurement of rate constants is not always feasible, the parameters are often inferred from multiple pieces of data using kinetic analyses based on appropriate mathematical models. The success of this approach relies on the sufficiency of available experimental data for a unique parameterization of the network. The concept of a rate-limiting step is applied to the analysis of experimental data that are usually used to quantify a pathway of actin dendritic nucleation, the Arp2/3-mediated mechanism that enables rapid changes of cell shape in response to external cues. The method yields analytical descriptions of the dynamics of polymerized actin and provides insights into how the experimental curves should be analyzed. It is shown that dynamics measured by pyrene-labeled actin assays with varying Arp2/3 concentrations are equally well described by two different rate-limiting steps: 1), binding of a nucleating complex to the side of a preexisting filament; or 2), its subsequent activation. To distinguish between the alternatives, we propose experiments with varying concentrations of actin monomers, taking advantage of the fact that the number of branches in the two cases depends differently on the initial monomer concentration. The idea is tested by simulating the proposed experiments with the use of spatial stochastic modeling. 2010 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20682247      PMCID: PMC2913184          DOI: 10.1016/j.bpj.2010.05.007

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  22 in total

1.  The Arp2/3 complex branches filament barbed ends: functional antagonism with capping proteins.

Authors:  D Pantaloni; R Boujemaa; D Didry; P Gounon; M F Carlier
Journal:  Nat Cell Biol       Date:  2000-07       Impact factor: 28.824

Review 2.  Quantitative cell biology with the Virtual Cell.

Authors:  Boris M Slepchenko; James C Schaff; Ian Macara; Leslie M Loew
Journal:  Trends Cell Biol       Date:  2003-11       Impact factor: 20.808

3.  End versus side branching by Arp2/3 complex.

Authors:  A E Carlsson; M A Wear; J A Cooper
Journal:  Biophys J       Date:  2004-02       Impact factor: 4.033

4.  An open model of actin dendritic nucleation.

Authors:  Jonathon A Ditlev; Nathaniel M Vacanti; Igor L Novak; Leslie M Loew
Journal:  Biophys J       Date:  2009-05-06       Impact factor: 4.033

5.  The interaction of Arp2/3 complex with actin: nucleation, high affinity pointed end capping, and formation of branching networks of filaments.

Authors:  R D Mullins; J A Heuser; T D Pollard
Journal:  Proc Natl Acad Sci U S A       Date:  1998-05-26       Impact factor: 11.205

Review 6.  Actin and actin-binding proteins. A critical evaluation of mechanisms and functions.

Authors:  T D Pollard; J A Cooper
Journal:  Annu Rev Biochem       Date:  1986       Impact factor: 23.643

7.  Interaction of WASP/Scar proteins with actin and vertebrate Arp2/3 complex.

Authors:  J B Marchand; D A Kaiser; T D Pollard; H N Higgs
Journal:  Nat Cell Biol       Date:  2001-01       Impact factor: 28.824

8.  Virtual Cell modelling and simulation software environment.

Authors:  I I Moraru; J C Schaff; B M Slepchenko; M L Blinov; F Morgan; A Lakshminarayana; F Gao; Y Li; L M Loew
Journal:  IET Syst Biol       Date:  2008-09       Impact factor: 1.615

9.  Scar1 and the related Wiskott-Aldrich syndrome protein, WASP, regulate the actin cytoskeleton through the Arp2/3 complex.

Authors:  L M Machesky; R H Insall
Journal:  Curr Biol       Date:  1998 Dec 17-31       Impact factor: 10.834

10.  Rate constants for the reactions of ATP- and ADP-actin with the ends of actin filaments.

Authors:  T D Pollard
Journal:  J Cell Biol       Date:  1986-12       Impact factor: 10.539

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  2 in total

Review 1.  There is more than one way to model an elephant. Experiment-driven modeling of the actin cytoskeleton.

Authors:  Jonathon A Ditlev; Bruce J Mayer; Leslie M Loew
Journal:  Biophys J       Date:  2013-02-05       Impact factor: 4.033

2.  Numerical Approach to Spatial Deterministic-Stochastic Models Arising in Cell Biology.

Authors:  James C Schaff; Fei Gao; Ye Li; Igor L Novak; Boris M Slepchenko
Journal:  PLoS Comput Biol       Date:  2016-12-13       Impact factor: 4.475

  2 in total

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