Evidence map›Paper›PMID 38987288›Full record

ArticleCommunications biology2024

Composite branched and linear F-actin maximize myosin-induced membrane shape changes in a biomimetic cell model.

Ryota Sakamoto, Michael P Murrell

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Engineering filamentous myosins for optical control of contractility.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. 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

2 authors.

Ryota SakamotoDepartment of Biomedical Engineering, Yale University, 10 Hillhouse Avenue, New Haven, CT, USA.ORCID 0000-0002-7762-3682
Michael P MurrellDepartment of Biomedical Engineering, Yale University, 10 Hillhouse Avenue, New Haven, CT, USA. michael.murrell@yale.edu.ORCID 0000-0001-6788-2077

Funding

Systems analysis of phenotypic switch in control of cancer invasionU54CA209992 · NCI · YALE UNIVERSITY · PI LEVCHENKO, ANDRE · 2016 to 2021
$10.1M
Universal Roles of Force Generation and Transmission in Biological SystemsR01GM126256 · NIGMS · PURDUE UNIVERSITY · PI KIM, TAEYOON · 2017 to 2021
$2.3M
Human Frontier Science Program (HFSP) RGY0073/2018NCI NIH HHS U54 CA209992NIGMS NIH HHS R01 GM126256
6 · The paper itself

Abstract

The architecture of the actin cortex determines the generation and transmission of stresses, during key events from cell division to migration. However, its impact on myosin-induced cell shape changes remains unclear. Here, we reconstitute a minimal model of the actomyosin cortex with branched or linear F-actin architecture within giant unilamellar vesicles (GUVs, liposomes). Upon light activation of myosin, neither the branched nor linear F-actin architecture alone induces significant liposome shape changes. The branched F-actin network forms an integrated, membrane-bound "no-slip boundary" -like cortex that attenuates actomyosin contractility. By contrast, the linear F-actin network forms an unintegrated "slip boundary" -like cortex, where actin asters form without inducing membrane deformations. Notably, liposomes undergo significant deformations at an optimized balance of branched and linear F-actin networks. Our findings highlight the pivotal roles of branched F-actin in force transmission and linear F-actin in force generation to yield membrane shape changes.

Indexed as

ActinsCell MembraneMyosinsActin CytoskeletonActomyosinAnimalsBiomimeticsCell ShapeLiposomesModels, BiologicalUnilamellar LiposomesActinsActomyosinLiposomesMyosinsUnilamellar Liposomes

Identifiers

PMID38987288
PMCPMC11236970

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Registered trials

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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.