Evidence map›Paper›PMID 33989373›Full record

ArticleSoft matter2021

Actin filament alignment causes mechanical hysteresis in cross-linked networks.

Danielle R Scheff, Steven A Redford, Chatipat Lorpaiboon, Sayantan Majumdar, Aaron R Dinner, Margaret L Gardel

Open access · greenAbstract read
In one paragraph

Article in Soft matter, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The structure and mechanics of the cell cortex depend on the location and adhesion state.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  5. Article
  6. 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
    Article
  7. Article
  8. Appetizer on soft matter physics concepts in mechanobiology.Development, growth & differentiation · 2023
    Review
  9. Article
  10. Article
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

6 authors at 2 institutions in 3 countries.

Danielle R ScheffJames Franck Institute, University of Chicago, Chicago, IL 60637, USA. gardel@uchicago.edu and Department of Physics, University of Chicago, Chicago, IL 60637, USA.ORCID http://orcid.org/0000-0001-5571-0382
Steven A RedfordBiophysical Sciences Graduate Program, University of Chicago, Chicago, IL 60637, USA and Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA.
Chatipat LorpaiboonDepartment of Chemistry, University of Chicago, Chicago, IL 60637, USA.
Sayantan MajumdarRaman Research Institute, Bangalore 560080, India.ORCID http://orcid.org/0000-0003-3431-2128
Aaron R DinnerJames Franck Institute, University of Chicago, Chicago, IL 60637, USA. gardel@uchicago.edu and Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA and Department of Chemistry, University of Chicago, Chicago, IL 60637, USA.ORCID http://orcid.org/0000-0001-8328-6427
Margaret L GardelJames Franck Institute, University of Chicago, Chicago, IL 60637, USA. gardel@uchicago.edu and Department of Physics, University of Chicago, Chicago, IL 60637, USA and Institute for Biophysical Dynamics, University of Chicago, Chicago, IL 60637, USA and Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.ORCID http://orcid.org/0000-0003-1846-9854
University of Chicago · USRaman Research Institute · IN

Funding

Graduate Program in Biophysical Sciences at the University of Chicago - Renewal 0T32EB009412 · NIBIB · UNIVERSITY OF CHICAGO · PI ENGEL, GREGORY S, SOSNICK, TOBIN R · 2009 to 2023
$4.9M
Rare-event simulation and analysis for elucidating mechanisms of development and diseaseR35GM136381 · NIGMS · UNIVERSITY OF CHICAGO · PI Aaron Dinner · 2020 to 2026
$2.2M
NIBIB NIH HHS T32 EB009412NIGMS NIH HHS R35 GM136381
6 · The paper itself

Abstract

Cells dynamically control their material properties through remodeling of the actin cytoskeleton, an assembly of cross-linked networks and bundles formed from the biopolymer actin. We recently found that cross-linked networks of actin filaments reconstituted in vitro can exhibit adaptive behavior and thus serve as a model system to understand the underlying mechanisms of mechanical adaptation of the cytoskeleton. In these networks, training, in the form of applied shear stress, can induce asymmetry in the nonlinear elasticity. Here, we explore control over this mechanical hysteresis by tuning the concentration and mechanical properties of cross-linking proteins in both experimental and simulated networks. We find that this effect depends on two conditions: the initial network must exhibit nonlinear strain stiffening, and filaments in the network must be able to reorient during training. Hysteresis depends strongly and non-monotonically on cross-linker concentration, with a peak at moderate concentrations. In contrast, at low concentrations, where the network does not strain stiffen, or at high concentrations, where filaments are less able to rearrange, there is little response to training. Additionally, we investigate the effect of changing cross-linker properties and find that longer or more flexible cross-linkers enhance hysteresis. Remarkably plotting hysteresis against alignment after training yields a single curve regardless of the physical properties or concentration of the cross-linkers.

Indexed as

Actin CytoskeletonActinsCytoskeletonElasticityStress, MechanicalActins

Identifiers

PMID33989373
PMCPMC8192476
OpenAlexW3163073261

What OpenQuestion holds

Textmetadata
LicenceTDM
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.