2008
DOI: 10.1103/physreve.77.030901
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Quantifying intermittent transport in cell cytoplasm

Abstract: Active cellular transport is a fundamental mechanism for protein and vesicle delivery, cell cycle and molecular degradation. Viruses can hijack the transport system and use it to reach the nucleus. Most transport processes consist of intermittent dynamics, where the motion of a particle, such as a virus, alternates between pure Brownian and directed movement along microtubules. In this communication, we estimate the mean time for particle to attach to a microtubule network. This computation leads to a coarse g… Show more

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Cited by 30 publications
(40 citation statements)
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“…We remark that in the context of the nuclear-pore structure, the nuclear radius is roughly 4 microns, and there are estimated to be approximately N = 2000 nanotraps, each of estimated radius 25 nanometers (cf. [29,41]). This yields that σ = 6.25 × 10 −3 , and a surface area fraction f of f = N σ 2 /4 ≈ 0.0195, providing only a small 2% coverage of the boundary of the nucleus by nanotraps.…”
Section: The Effective Robin Boundary Condition: a Scaling Law For Lamentioning
confidence: 99%
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“…We remark that in the context of the nuclear-pore structure, the nuclear radius is roughly 4 microns, and there are estimated to be approximately N = 2000 nanotraps, each of estimated radius 25 nanometers (cf. [29,41]). This yields that σ = 6.25 × 10 −3 , and a surface area fraction f of f = N σ 2 /4 ≈ 0.0195, providing only a small 2% coverage of the boundary of the nucleus by nanotraps.…”
Section: The Effective Robin Boundary Condition: a Scaling Law For Lamentioning
confidence: 99%
“…It would be interesting to extend this analysis to compare the MFPT and standard deviation for a narrow capture process where there is a biased random walk or drift directed to the target site (cf. [28,29]). Our main focus was the derivation and numerical validation of an asymptotic expansion for the capacitance C 0 of the structured target in the limit σ 1 of small nanotrap radius for a finite collection of N circular nanotraps.…”
Section: Multiple Nanotrapsmentioning
confidence: 99%
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