Bidirectional membrane tube dynamics driven by nonprocessive motors

Journal Article (2008)
Author(s)

Paige M. Shaklee (Universiteit Leiden, AMOLF Institute for Atomic and Molecular Physics)

T. Idema (Universiteit Leiden)

Gerbrand Koster (AMOLF Institute for Atomic and Molecular Physics)

Cornelis Storm (Universiteit Leiden)

Thomas A. Schmidt (Universiteit Leiden)

A.M. Dogterom (AMOLF Institute for Atomic and Molecular Physics)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1073/pnas.0709677105
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Publication Year
2008
Language
English
Affiliation
External organisation
Issue number
23
Volume number
105
Pages (from-to)
7993-7997

Abstract

In cells, membrane tubes are extracted by molecular motors. Although individual motors cannot provide enough force to pull a tube, clusters of such motors can. Here,weinvestigate, using a minimal in vitro model system, how the tube pulling process depends on fundamental properties of the motor species involved. Previously, it has been shown that processive motors can pull tubes by dynamic association at the tube tip. We demonstrate that, remarkably, nonprocessive motors can also cooperatively extract tubes. Moreover, the tubes pulled by nonprocessive motors exhibit rich dynamics as compared to those pulled by their processive counterparts. We report distinct phases of persistent growth, retraction, and an intermediate regime characterized by highly dynamic switching between the two. We interpret the different phases in the context of a single-species model. The model assumes only a simple motor clustering mechanism along the length of the entire tube and the presence of a length-dependent tube tension. The resulting dynamic distribution of motor clusters acts as both a velocity and distance regulator for the tube. We show the switching phase to be an attractor of the dynamics of this model, suggesting that the switching observed experimentally is a robust characteristic of nonprocessive motors. A similar system could regulate in vivo biological membrane networks.

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