Reference : A mathematical model of actin filament turnover for fitting FRAP data
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
http://hdl.handle.net/10993/9838
A mathematical model of actin filament turnover for fitting FRAP data
English
Halavatyi, A. A. [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
Nazarov, P. V. [Microarray Center, Centre de Recherche Public Santé, 84, Rue Val Fleuri, Luxembourg 1526, Luxembourg]
Al Tanoury, Z. [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
Apanasovich, V. V. [Department of Systems Analysis, Belarusian State University, 4 Nezavisimosti Avenue, Minsk 220030, Belarus]
Yatskou, M. [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
Friederich, Evelyne mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
2010
European Biophysics Journal [=EBJ]
Springer Verlag
39
4
669-677
Yes (verified by ORBilu)
International
0175-7571
Berlin
Germany
[en] Actin ; Filament ; FRAP ; Mathematical model ; Polymerisation ; Diffusion ; Fluorescence Recovery After Photobleaching ; Kinetics ; Linear Models ; Microfilaments ; Models, Biological ; Nonlinear Dynamics ; Protein Multimerization ; Protein Structure, Quaternary
[en] A novel mathematical model of the actin dynamics in living cells under steady-state conditions has been developed for fluorescence recovery after photobleaching (FRAP) experiments. As opposed to other FRAP fitting models, which use the average lifetime of actins in filaments and the actin turnover rate as fitting parameters, our model operates with unbiased actin association/dissociation rate constants and accounts for the filament length. The mathematical formalism is based on a system of stochastic differential equations. The derived equations were validated on synthetic theoretical data generated by a stochastic simulation algorithm adapted for the simulation of FRAP experiments. Consistent with experimental findings, the results of this work showed that (1) fluorescence recovery is a function of the average filament length, (2) the F-actin turnover and the FRAP are accelerated in the presence of actin nucleating proteins, (3) the FRAP curves may exhibit both a linear and non-linear behaviour depending on the parameters of actin polymerisation, and (4) our model resulted in more accurate parameter estimations of actin dynamics as compared with other FRAP fitting models. Additionally, we provide a computational tool that integrates the model and that can be used for interpretation of FRAP data on actin cytoskeleton. © 2009 European Biophysical Societies' Association.
http://hdl.handle.net/10993/9838
10.1007/s00249-009-0558-2

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