2012
DOI: 10.1016/j.jtbi.2012.03.035
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Asymptotic analysis of microtubule-based transport by multiple identical molecular motors

Abstract: We describe a system of stochastic differential equations (SDEs) which model the interaction between processive molecular motors, such as kinesin and dynein, and the biomolecular cargo they tow as part of microtubule-based intracellular transport. We show that the classical experimental environment fits within a parameter regime which is qualitatively distinct from conditions one expects to find in living cells. Through an asymptotic analysis of our system of SDEs, we develop a means for applying in vitro obse… Show more

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Cited by 25 publications
(43 citation statements)
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References 79 publications
(207 reference statements)
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“…We thus ask the question: what features are necessary to produce this behavior? Now, if the step rate is independent of the number of bound motors, m, then it follows immediately from (34) and (36) that V is independent of M . In particular, if the dimensional step rate is k step (m) ≡ k 0 for all m ∈ {1, .…”
Section: Biological Applicationmentioning
confidence: 99%
“…We thus ask the question: what features are necessary to produce this behavior? Now, if the step rate is independent of the number of bound motors, m, then it follows immediately from (34) and (36) that V is independent of M . In particular, if the dimensional step rate is k step (m) ≡ k 0 for all m ∈ {1, .…”
Section: Biological Applicationmentioning
confidence: 99%
“…The behavior follows almost identically with the mean-field model (2.1), but now binding and unbinding can be neglected due to the analysis only being of a single run. In [25], the authors also study the behavior of motors without binding dynamics and find that multiple motors can actually produce a lower cargo velocity than a single motor. However, we are only interested in the mean behavior of the motors and therefore the explicitness of their description is not necessary for this work.…”
Section: Ornstein-uhlenbeck Motivationmentioning
confidence: 99%
“…Understanding such effects will not be possible by looking only at experimental results, but will necessitate modeling a variety of possible modes of interaction to test which most closely recapitulates experimental data. So far, some such models have begun to both predict and compare with experimental results the expected effects of factors such as the number of motors, their mechanical linkages, viscosity of the medium, motor velocity, and the relative populations of forward- and backward-directed motors that may pull against each other in a tug-of-war (Klumpp and Lipowsky, 2005; Beeg et al, 2008; Kunwar et al, 2008, 2011; Müller et al, 2008, 2010; Zhang, 2009; Driver et al, 2010, 2011; Berger et al, 2012; Xu et al, 2012; McKinley et al, 2012). As experimental tools for creating and controlling multiple-motor systems advance, analyses such as these will become even more essential for interpreting the experimental results.…”
Section: Feedback Between Modeling and Experiments Will Be Essential Tmentioning
confidence: 99%