A mathematical model of actin filament turnover for fitting FRAP data

Aliaksandr A. Halavatyi, Petr V. Nazarov, Ziad Al Tanoury, Vladimir V. Apanasovich, Mikalai Yatskou, Evelyne Friederich*

*Corresponding author for this work

    Research output: Contribution to journalArticleResearchpeer-review

    11 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)669-677
    Number of pages9
    JournalEuropean Biophysics Journal
    Volume39
    Issue number4
    DOIs
    Publication statusPublished - Mar 2010

    Keywords

    • Actin
    • FRAP
    • Filament
    • Mathematical model
    • Polymerisation

    Fingerprint

    Dive into the research topics of 'A mathematical model of actin filament turnover for fitting FRAP data'. Together they form a unique fingerprint.

    Cite this