2004
DOI: 10.1103/physreve.70.032901
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Steady states of a microtubule assembly in a confined geometry

Abstract: We study the steady state of an assembly of microtubules in a confined volume, analogous to the situation inside a cell where the cell boundary forms a natural barrier to growth. We show that the dynamical equations for growing and shrinking microtubules predict the existence of two steady states, with either exponentially decaying or exponentially increasing distribution of microtubule lengths. We identify the regimes in parameter space corresponding to these steady states. In the latter case, the apparent ca… Show more

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Cited by 26 publications
(28 citation statements)
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“…Many mathematical models have been formulated in the past, based on this two state approach to explore dynamic instability and its applications, eg., microtubule oscillations [17,18], dynamics under confinement [19,20], search for targets [20][21][22] and the effects of regulators [23,24]. Let us denote by T the time until catastrophe (referred to as the catastrophe time), starting from a rescue event at T = 0.…”
Section: Catastrophe Time Distributionmentioning
confidence: 99%
“…Many mathematical models have been formulated in the past, based on this two state approach to explore dynamic instability and its applications, eg., microtubule oscillations [17,18], dynamics under confinement [19,20], search for targets [20][21][22] and the effects of regulators [23,24]. Let us denote by T the time until catastrophe (referred to as the catastrophe time), starting from a rescue event at T = 0.…”
Section: Catastrophe Time Distributionmentioning
confidence: 99%
“…In the case where the experimentally determined f c (L) and f c (L) cannot be approximated by analytically integrable functions, one may have to resort to numer-ical methods to solve the integral. We would like to note that there are already (theoretical) studies that include microscopic details of the catastrophe mechanism and/or more states than the two growing and shrinking states (41,42), as well as effects due to closed systems and/or due to a cell edge and/or due to a limited pool of free tubulin (17,(43)(44)(45)(46)(47). Including those effects also leads, in general, to nonexponential (peaked) MT length distributions, whose shapes are, however, implicit to the assumptions of each model.…”
Section: Appendix Amentioning
confidence: 99%
“…The simplest way to explicitly consider the cell boundary is by imposing a maximum filament length l * such that l ≤ l * as in [142], where a two-state model has been considered. In this work it is assumed that the MT directly turns into the shrinking state, if the MT hits the cell boundary.…”
Section: Dynamic Mts In Finite Volumementioning
confidence: 99%