Evidence map›Paper›PMID 35748355›Full record

ArticleeLife2022

The molecular mechanism of load adaptation by branched actin networks.

Tai-De Li, Peter Bieling, Julian Weichsel, R Dyche Mullins, Daniel A Fletcher

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 40 citations in OpenAlex.

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  18. Adaptive nonequilibrium design of actin-based metamaterials: Fundamental and practical limits of control.Proceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Tai-De Li *Department of Bioengineering & Biophysics Program, University of California, Berkeley, Berkeley, United States.
Peter Bieling *Division of Biological Systems & Engineering, Lawrence Berkeley National Laboratory, Berkeley, United States.ORCID 0000-0002-7458-4358
Julian WeichselDepartment of Chemistry, University of California, Berkeley, Berkeley, United States.
R Dyche MullinsDepartment of Cellular and Molecular Pharmacology and Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, United States.ORCID 0000-0002-0871-5479
Daniel A FletcherDepartment of Bioengineering & Biophysics Program, University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-1890-5364
Howard Hughes Medical Institute · USLawrence Berkeley National Laboratory · USThe Graduate Center, CUNY · USUniversity of California, Berkeley · US

Funding

Assembly and function of cytoskeletal systems in eukaryotic and prokaryoticcellsR35GM118119 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MULLINS, R DYCHE · 2016 to 2025
$4.8M
Mechanical Regulation of Actin NetworksR01GM074751 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI FLETCHER, DANIEL A · 2008 to 2015
$2.4M
Mechanical Regulation of Actin Binding ProteinsR01GM134137 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI FLETCHER, DANIEL A · 2019 to 2022
$1.5M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM074751NIGMS NIH HHS R01 GM134137NIGMS NIH HHS R35 GM118119
6 · The paper itself

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.

Indexed as

Actin CytoskeletonActinsActin-Related Protein 2-3 ComplexCell MembraneCytoskeletonPseudopodiaActin-Related Protein 2-3 ComplexActinsactinamoeboid motilityArp2/3 complexcell biologycell mechanicscytoskeletonforce generationload adaptationnone

Identifiers

PMID35748355
PMCPMC9328761
OpenAlexW4283383956

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.