Anomalous diffusion and FRAP dynamics in the random comb model

Abstract

We address the problem of diffusion on a comb whose teeth display a varying length. Specifically, the length $\ell$ of each tooth is drawn from a probability distribution displaying the large-$\ell$ behavior $P(\ell )\sim {\ell }^{-(1+\alpha )}$ ($\alpha >0$). Our method is based on the mean-field description provided by the well-tested CTRW approach for the random comb model, and the obtained analytical result for the diffusion coefficient is confirmed by numerical simulations. We subsequently incorporate retardation effects arising from binding/unbinding kinetics into our model and obtain a scaling law characterizing the corresponding change in the diffusion coefficient. Finally, our results for the diffusion coefficient are used as an input to compute concentration recovery curves mimicking FRAP experiments in comb-like geometries such as spiny dendrites. We show that such curves cannot be fitted perfectly by a model based on scaled Brownian motion, i.e., a standard diffusion equation with a time-dependent diffusion coefficient. However, differences between the exact curves and such fits are small, thereby providing justification for the practical use of models relying on scaled Brownian motion as a fitting procedure for recovery curves arising from particle diffusion in comb-like systems.

35 pages (double-spaced),10 figures

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• Anomalous transport in the crowded world of biological cells
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• Comb model with slow and ultraslow diffusion
• Fractional diffusion on a fractal grid comb
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• A reaction-subdiffusion model of fluorescence recovery after photobleaching (FRAP)
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• Finite-velocity diffusion on a comb
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• Richardson diffusion in neurons
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