Literature DB >> 18279896

Stochastic simulation of actin dynamics reveals the role of annealing and fragmentation.

Joseph Fass1, Chi Pak, James Bamburg, Alex Mogilner.   

Abstract

Recent observations of F-actin dynamics call for theoretical models to interpret and understand the quantitative data. A number of existing models rely on simplifications and do not take into account F-actin fragmentation and annealing. We use Gillespie's algorithm for stochastic simulations of the F-actin dynamics including fragmentation and annealing. The simulations vividly illustrate that fragmentation and annealing have little influence on the shape of the polymerization curve and on nucleotide profiles within filaments but drastically affect the F-actin length distribution, making it exponential. We find that recent surprising measurements of high length diffusivity at the critical concentration cannot be explained by fragmentation and annealing events unless both fragmentation rates and frequency of undetected fragmentation and annealing events are greater than previously thought. The simulations compare well with experimentally measured actin polymerization data and lend additional support to a number of existing theoretical models.

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Year:  2008        PMID: 18279896      PMCID: PMC2386518          DOI: 10.1016/j.jtbi.2008.01.001

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  26 in total

1.  Annealing accounts for the length of actin filaments formed by spontaneous polymerization.

Authors:  D Sept; J Xu; T D Pollard; J A McCammon
Journal:  Biophys J       Date:  1999-12       Impact factor: 4.033

2.  Stimulation of actin polymerization by filament severing.

Authors:  A E Carlsson
Journal:  Biophys J       Date:  2005-10-28       Impact factor: 4.033

3.  Real-time measurements of actin filament polymerization by total internal reflection fluorescence microscopy.

Authors:  Jeffrey R Kuhn; Thomas D Pollard
Journal:  Biophys J       Date:  2004-11-19       Impact factor: 4.033

4.  Actin-destabilizing factors disrupt filaments by means of a time reversal of polymerization.

Authors:  Albina Orlova; Alexander Shvetsov; Vitold E Galkin; Dmitry S Kudryashov; Peter A Rubenstein; Edward H Egelman; Emil Reisler
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-10       Impact factor: 11.205

5.  The effect of branching on the critical concentration and average filament length of actin.

Authors:  A E Carlsson
Journal:  Biophys J       Date:  2005-04-22       Impact factor: 4.033

6.  Actin polymerization kinetics, cap structure, and fluctuations.

Authors:  Dimitrios Vavylonis; Qingbo Yang; Ben O'Shaughnessy
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-06       Impact factor: 11.205

7.  ATP hydrolysis stimulates large length fluctuations in single actin filaments.

Authors:  Evgeny B Stukalin; Anatoly B Kolomeisky
Journal:  Biophys J       Date:  2006-01-27       Impact factor: 4.033

8.  Models for the length distributions of actin filaments: II. Polymerization and fragmentation by gelsolin acting together.

Authors:  G B Ermentrout; L Edelstein-Keshet
Journal:  Bull Math Biol       Date:  1998-05       Impact factor: 1.758

9.  High microfilament concentration results in barbed-end ADP caps.

Authors:  P A Dufort; C J Lumsden
Journal:  Biophys J       Date:  1993-11       Impact factor: 4.033

10.  The end of a polymerizing actin filament contains numerous ATP-subunit segments that are disconnected by ADP-subunits resulting from ATP hydrolysis.

Authors:  U Pieper; A Wegner
Journal:  Biochemistry       Date:  1996-04-09       Impact factor: 3.162

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  14 in total

1.  Role of ATP-hydrolysis in the dynamics of a single actin filament.

Authors:  Padinhateeri Ranjith; Kirone Mallick; Jean-François Joanny; David Lacoste
Journal:  Biophys J       Date:  2010-04-21       Impact factor: 4.033

2.  Mechanisms controlling cell size and shape during isotropic cell spreading.

Authors:  Yuguang Xiong; Padmini Rangamani; Marc-Antoine Fardin; Azi Lipshtat; Benjamin Dubin-Thaler; Olivier Rossier; Michael P Sheetz; Ravi Iyengar
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

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Journal:  Biophys J       Date:  2008-08-15       Impact factor: 4.033

4.  A mathematical model of actin filament turnover for fitting FRAP data.

Authors:  Aliaksandr A Halavatyi; Petr V Nazarov; Ziad Al Tanoury; Vladimir V Apanasovich; Mikalai Yatskou; Evelyne Friederich
Journal:  Eur Biophys J       Date:  2009-11-18       Impact factor: 1.733

5.  Efficient Multiscale Models of Polymer Assembly.

Authors:  Alvaro Ruiz-Martinez; Thomas M Bartol; Terrence J Sejnowski; Daniel M Tartakovsky
Journal:  Biophys J       Date:  2016-07-12       Impact factor: 4.033

Review 6.  How Cells Measure Length on Subcellular Scales.

Authors:  Wallace F Marshall
Journal:  Trends Cell Biol       Date:  2015-10-01       Impact factor: 20.808

Review 7.  Quantitative computational models of molecular self-assembly in systems biology.

Authors:  Marcus Thomas; Russell Schwartz
Journal:  Phys Biol       Date:  2017-05-23       Impact factor: 2.583

8.  A theoretical analysis of filament length fluctuations in actin and other polymers.

Authors:  Jifeng Hu; Hans G Othmer
Journal:  J Math Biol       Date:  2011-01-14       Impact factor: 2.259

9.  Quantitative analysis of approaches to measure cooperative phosphate release in polymerized actin.

Authors:  Mark M Burnett; Anders E Carlsson
Journal:  Biophys J       Date:  2012-12-05       Impact factor: 4.033

10.  Combinative in vitro studies and computational model to predict 3D cell migration response to drug insult.

Authors:  Joseph S Maffei; Jaya Srivastava; Brian Fallica; Muhammad H Zaman
Journal:  Integr Biol (Camb)       Date:  2014-10       Impact factor: 2.192

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