ArticleEuropean biophysics journal : EBJ2010
A mathematical model of actin filament turnover for fitting FRAP data.
Article in European biophysics journal : EBJ, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 12 citations in OpenAlex.
- PDV1 and PDV2 Differentially Affect Remodeling and Assembly of the Chloroplast DRP5B Ring.Plant physiology · 2020Article
- Biophysical Characterization of CD6-TCR/CD3 Interplay in T Cells.Frontiers in immunology · 2018Article
- Simultaneous quantification of actin monomer and filament dynamics with modeling-assisted analysis of photoactivation.Journal of cell science · 2016Article
- Measuring F-actin properties in dendritic spines.Frontiers in neuroanatomy · 2014Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
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.
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