The molecular mechanism of load adaptation by branched actin networks
Abstract
Branched actin networks are self-assembling molecular motors that move biological membranes and drive many important cellular processes, including phagocytosis, endocytosis, and pseudopod protrusion. When confronted with opposing forces, the growth rate of these networks slows and their density increases, but the stoichiometry of key components does not change. The molecular mechanisms governing this force response are not well understood, so we used single-molecule imaging and AFM cantilever deflection to measure how applied forces affect each step in branched actin network assembly. Although load forces are observed to increase the density of growing filaments, we find that they actually decrease the rate of filament nucleation due to inhibitory interactions between actin filament ends and nucleation promoting factors. The force-induced increase in network density turns out to result from an exponential drop in the rate constant that governs filament capping. The force dependence of filament capping matches that of filament elongation and can be explained by expanding Brownian Ratchet theory to cover both processes. We tested a key prediction of this expanded theory by measuring the force-dependent activity of engineered capping protein variants and found that increasing the size of the capping protein increases its sensitivity to applied forces. In summary, we find that Brownian Ratchets underlie not only the ability of growing actin filaments to generate force but also the ability of branched actin networks to adapt their architecture to changing loads.
Data availability
Source Data files have been provided for the top and bottom panels of Figure 1c. Movies 1-3 contain source data for Figures 1-4.
Article and author information
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Funding
National Institutes of Health (1R35 GM118119)
- R Dyche Mullins
National Institutes of Health (R01 GM134137)
- Daniel A Fletcher
Howard Hughes Medical Institute
- R Dyche Mullins
Human Frontier Science Program (LT-000843/2010)
- Peter Bieling
Human Frontier Science Program (CDA00070/2017-2)
- Peter Bieling
European Molecular Biology Organization (ALTF 854-2009)
- Peter Bieling
Chan Zuckerberg Initiative
- Daniel A Fletcher
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
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