Evidence map›Paper›PMID 38260433›Full record

ArticlebioRxiv : the preprint server for biology2024

Growth-induced collective bending and kinetic trapping of cytoskeletal filaments.

Deb Sankar Banerjee, Simon L Freedman, Michael P Murrell, Shiladitya Banerjee

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Deb Sankar BanerjeeDepartment of Physics, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Simon L FreedmanIllumina, San Diego, CA 92122, USA.ORCID 0000-0001-6583-6683
Michael P MurrellDepartment of Biomedical Engineering, Yale University, 10 Hillhouse Avenue, New Haven, CT, USA.ORCID 0000-0001-6788-2077
Shiladitya BanerjeeDepartment of Physics, Carnegie Mellon University, Pittsburgh, PA 15213, USA.ORCID 0000-0001-8000-2556

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
Biophysical models and mechanisms for cellular adaptation to environmental stressR35GM143042 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI BANERJEE, SHILADITYA · 2021 to 2025
$1.6M
NCI NIH HHS U54 CA209992NIGMS NIH HHS R01 GM126256NIGMS NIH HHS R35 GM143042
6 · The paper itself

Abstract

Growth and turnover of actin filaments play a crucial role in the construction and maintenance of actin networks within cells. Actin filament growth occurs within limited space and finite subunit resources in the actin cortex. To understand how filament growth shapes the emergent architecture of actin networks, we developed a minimal agent-based model coupling filament mechanics and growth in a limiting subunit pool. We find that rapid filament growth induces kinetic trapping of highly bent actin filaments. Such collective bending patterns are long-lived, organized around nematic defects, and arises from competition between filament polymerization and bending elasticity. The stability of nematic defects and the extent of kinetic trapping are amplified by an increase in the abundance of the actin pool and by crosslinking the network. These findings suggest that kinetic trapping is a robust consequence of growth in crowded environments, providing a route to program shape memory in actin networks.

Indexed as

actin network assemblyagent-based modelingfilament growthkinetic trappingtopological defects

Identifiers

PMID38260433
PMCPMC10802417

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.