Active cargo positioning in antiparallel transport networks

Richard, Mathieu; Blanch-Mercader, Carles; Ennomani, Hajer; Cao, Wenxiang; Cruz, Enrique M. De La; Joanny, Jean‐François; Jülicher, Frank; Blanchoin, Laurent; Martin, Pascal

doi:10.1073/pnas.1900416116

Cited by 6 publications

(5 citation statements)

References 40 publications

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“…3c) increases nonlinearly, with velocity given by (14). In Appendix D, we validate (14) by integrating it with respect to time to get the conditional mean displacement (29) and show that the analytical result agrees with the simulations (Fig. 9).…”

Section: Resultssupporting

confidence: 65%

“…Studies of molecular-motor transport commonly include in an MSD analysis only a subset of the recorded trajectories, often chosen because they remained associated to the track beyond a threshold duration [15][16][17] or reached a certain distance [29]. Here we show that with biased detachment, selecting a longest-lived subset of the total ensemble biases the MSD analysis.…”

Section: Analysis Of Longest-duration Trajectoriesmentioning

confidence: 78%

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Apparent superballistic dynamics in one-dimensional random walks with biased detachment

Korosec,

Sivak,

Forde

2020

Preprint

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The mean-squared displacement (MSD) is an averaged quantity widely used to assess anomalous diffusion. In many cases, such as molecular motors with finite processivity, dynamics of the system of interest produce trajectories of varying duration. Here we explore the effects of finite processivity on different measures of the MSD. We do so by investigating a deceptively simple dynamical system: a one-dimensional random walk (with equidistant jump lengths, symmetric move probabilities, and constant step duration) with an origin-directed detachment bias. By tuning the time dependence of the detachment bias, we find through analytical calculations and trajectory simulations that the system can exhibit a broad range of anomalous diffusion, extending beyond conventional diffusion to superdiffusion and even superballistic motion. We analytically determine that protocols with a timeincreasing detachment lead to an ensemble-averaged velocity increasing in time, thereby providing the effective acceleration that is required to push the system above the ballistic threshold. MSD analysis of burnt-bridges ratchets similarly reveals superballistic behavior. Because superdiffusive MSDs are often used to infer biased, motor-like dynamics, these findings provide a cautionary tale for dynamical interpretation.

show abstract

Section: Resultssupporting

confidence: 65%

Section: Analysis Of Longest-duration Trajectoriesmentioning

confidence: 78%

Apparent superballistic dynamics in one-dimensional random walks with biased detachment

Korosec,

Sivak,

Forde

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Studies of molecular-motor transport commonly include in an MSD analysis only a subset of the recorded trajectories, often chosen because they remained associated to the track beyond a threshold duration [15][16][17] or reached a certain distance [31]. Here, we show that with biased detachment, selecting a longest-lived subset of the total ensemble biases the MSD analysis.…”

Section: Analysis Of Longest-duration Trajectoriesmentioning

confidence: 79%

Apparent superballistic dynamics in one-dimensional random walks with biased detachment

Korosec

Sivak

Forde

2020

Phys. Rev. Research

View full text Add to dashboard Cite

The mean-squared displacement (MSD) is an averaged quantity widely used to assess anomalous diffusion. In many cases, such as molecular motors with finite processivity, the dynamics of the system of interest produce trajectories of varying duration. Here, we explore the effects of finite processivity on different measures of the MSD. We do so by investigating a deceptively simple dynamical system: a one-dimensional random walk (with equidistant jump lengths, symmetric move probabilities, and constant step duration) with an origin-directed detachment bias. By tuning the time dependence of the detachment bias, we find through analytical calculations and trajectory simulations that the system can exhibit a broad range of anomalous diffusion, extending beyond conventional diffusion to superdiffusion and even superballistic motion. We analytically determine that protocols with a time-increasing detachment lead to an ensemble-averaged velocity increasing in time, thereby providing the effective acceleration that is required to push the system above the ballistic threshold. An MSD analysis of burnt-bridges ratchets similarly reveals superballistic behavior. Because superdiffusive MSDs are often used to infer biased, motorlike dynamics, these findings provide a cautionary tale for dynamical interpretation.

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“…Cargo transport is influenced by pathways located in a dense network where their structural heterogeneities impose two physical constraints [ 6 , 27 , 28 ]. First, orientations of tracks, as well as branching, results in intersections that might alter the directionally of cargo transport [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

Organization of two kinesins in a two-dimensional microtubule network

Bergues,

Falo

2024

PLoS ONE

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In intracellular active transport, molecular motors are responsible for moving biological cargo along networks of microtubules that serve as scaffolds. Cargo dynamics can be modified by different features of microtubule networks such as geometry, density, orientation modifications. Also, the dynamical behaviour of the molecular motors is determined by the microtubule network and by the individual and/or collective action of the motors. For example, unlike single kinesins, the mechanistic behavior of multiple kinesins varies from one experiment to another. However, the reasons for this experimental variability are unknown. Here we show theoretically how non-radial and quasi-radial microtubule architectures modify the collective behavior of two kinesins attached on a cargo. We found out under which structural conditions transport is most efficient and the most likely way in which kinesins are organized in active transport. In addition, with motor activity, mean intermotor distance and motor organization, we determined the character of the collective interaction of the kinesins during transport. Our results demonstrate that two-dimensional microtubule structures promote branching due to crossovers that alter directionality in cargo movement and may provide insight into the collective organization of the motors. Our article offers a perspective to analyze how the two-dimensional network can modify the cargo-motor dynamics for the case in which multiple motors move in different directions as in the case of kinesin and dynein.

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Active cargo positioning in antiparallel transport networks

Cited by 6 publications

References 40 publications

Apparent superballistic dynamics in one-dimensional random walks with biased detachment

Apparent superballistic dynamics in one-dimensional random walks with biased detachment

Apparent superballistic dynamics in one-dimensional random walks with biased detachment

Organization of two kinesins in a two-dimensional microtubule network

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