Modelling cytoskeletal transport by clusters of non-processive molecular motors with limited binding sites

Molecular motors are responsible for intracellular transport of a variety of biological cargo. We consider the collective behaviour of a finite number of motors attached on a cargo. We extend previous analytical work on processive motors to the case of non-processive motors, which stochastically bin...

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Main Authors: Naruemon Rueangkham, Ian D. Estabrook, Rhoda J. Hawkins
Format: Article
Language:English
Published: The Royal Society 2020-08-01
Series:Royal Society Open Science
Subjects:
Online Access:https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.200527
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spelling doaj-880ba14a716748e4b2b20f82766009682020-11-25T03:56:47ZengThe Royal SocietyRoyal Society Open Science2054-57032020-08-017810.1098/rsos.200527200527Modelling cytoskeletal transport by clusters of non-processive molecular motors with limited binding sitesNaruemon RueangkhamIan D. EstabrookRhoda J. HawkinsMolecular motors are responsible for intracellular transport of a variety of biological cargo. We consider the collective behaviour of a finite number of motors attached on a cargo. We extend previous analytical work on processive motors to the case of non-processive motors, which stochastically bind on and off cytoskeletal filaments with a limited number of binding sites available. Physically, motors attached to a cargo cannot bind anywhere along the filaments, so the number of accessible binding sites on the filament should be limited. Thus, we analytically study the distribution and the velocity of a cluster of non-processive motors with limited number of binding sites. To validate our analytical results and to go beyond the level of detail possible analytically, we perform Monte Carlo latticed based stochastic simulations. In particular, in our simulations, we include sequence preservation of motors performing stepping and binding obeying a simple exclusion process. We find that limiting the number of binding sites reduces the probability of non-processive motors binding but has a relatively small effect on force–velocity relations. Our analytical and stochastic simulation results compare well to published data from in vitro and in vivo experiments.https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.200527molecular motorsintracellular transportcollective behaviourmodelling
collection DOAJ
language English
format Article
sources DOAJ
author Naruemon Rueangkham
Ian D. Estabrook
Rhoda J. Hawkins
spellingShingle Naruemon Rueangkham
Ian D. Estabrook
Rhoda J. Hawkins
Modelling cytoskeletal transport by clusters of non-processive molecular motors with limited binding sites
Royal Society Open Science
molecular motors
intracellular transport
collective behaviour
modelling
author_facet Naruemon Rueangkham
Ian D. Estabrook
Rhoda J. Hawkins
author_sort Naruemon Rueangkham
title Modelling cytoskeletal transport by clusters of non-processive molecular motors with limited binding sites
title_short Modelling cytoskeletal transport by clusters of non-processive molecular motors with limited binding sites
title_full Modelling cytoskeletal transport by clusters of non-processive molecular motors with limited binding sites
title_fullStr Modelling cytoskeletal transport by clusters of non-processive molecular motors with limited binding sites
title_full_unstemmed Modelling cytoskeletal transport by clusters of non-processive molecular motors with limited binding sites
title_sort modelling cytoskeletal transport by clusters of non-processive molecular motors with limited binding sites
publisher The Royal Society
series Royal Society Open Science
issn 2054-5703
publishDate 2020-08-01
description Molecular motors are responsible for intracellular transport of a variety of biological cargo. We consider the collective behaviour of a finite number of motors attached on a cargo. We extend previous analytical work on processive motors to the case of non-processive motors, which stochastically bind on and off cytoskeletal filaments with a limited number of binding sites available. Physically, motors attached to a cargo cannot bind anywhere along the filaments, so the number of accessible binding sites on the filament should be limited. Thus, we analytically study the distribution and the velocity of a cluster of non-processive motors with limited number of binding sites. To validate our analytical results and to go beyond the level of detail possible analytically, we perform Monte Carlo latticed based stochastic simulations. In particular, in our simulations, we include sequence preservation of motors performing stepping and binding obeying a simple exclusion process. We find that limiting the number of binding sites reduces the probability of non-processive motors binding but has a relatively small effect on force–velocity relations. Our analytical and stochastic simulation results compare well to published data from in vitro and in vivo experiments.
topic molecular motors
intracellular transport
collective behaviour
modelling
url https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.200527
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