Optogenetic actin network assembly on lipid bilayer uncovers the network density-dependent functions of actin-binding proteins

The actin cytoskeleton forms a meshwork that drives cellular deformation. Network properties, determined by density and actin-binding proteins, are crucial, yet how density governs protein penetration and dynamics remains unclear. Here, we report an in vitro optogenetic system, named OptoVCA, enabling Arp2/3 complex-mediated actin assembly on lipid membranes. By tuning illumination power, duration, and pattern, OptoVCA flexibly manipulates the density, thickness, and shape of the actin network. Taking these advantages, we examine how network density affects two actin-binding proteins: myosin and ADF/cofilin. We find that even modest increases in density strictly inhibit myosin filament penetration by steric hindrance. Penetrated myosin filaments generate directional actin flow in networks with density gradients. In contrast, ADF/cofilin accesses networks regardless of density, yet network disassembly is markedly reduced by increased density. Thus, OptoVCA reveals that network density differentially regulates actin-binding protein penetration and activity. These findings advance understanding of cell mechanics through precise, light-based manipulation of cytoskeletal structure.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-08-26
DOI
https://doi.org/10.1038/s41467-025-62653-6
Citations
2
Primary Topic
Photoreceptor and optogenetics research
Type
article
Field-Weighted Citation Impact
1.82

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optogenetic actin network assembly on lipid bilayer uncovers the network density-dependent functions of actin-binding proteins

Makito Miyazaki, Kei Yamamoto
2 citations
Nature Communications
Photoreceptor and optogenetics research
1.82
article

Optogenetic actin network assembly on lipid bilayer uncovers the network density-dependent functions of actin-binding proteins

Makito Miyazaki, Kei Yamamoto
article en
2 citations

Abstract

The actin cytoskeleton forms a meshwork that drives cellular deformation. Network properties, determined by density and actin-binding proteins, are crucial, yet how density governs protein penetration and dynamics remains unclear. Here, we report an in vitro optogenetic system, named OptoVCA, enabling Arp2/3 complex-mediated actin assembly on lipid membranes. By tuning illumination power, duration, and pattern, OptoVCA flexibly manipulates the density, thickness, and shape of the actin network. Taking these advantages, we examine how network density affects two actin-binding proteins: myosin and ADF/cofilin. We find that even modest increases in density strictly inhibit myosin filament penetration by steric hindrance. Penetrated myosin filaments generate directional actin flow in networks with density gradients. In contrast, ADF/cofilin accesses networks regardless of density, yet network disassembly is markedly reduced by increased density. Thus, OptoVCA reveals that network density differentially regulates actin-binding protein penetration and activity. These findings advance understanding of cell mechanics through precise, light-based manipulation of cytoskeletal structure.

Nature CommunicationsVol. 16(1)
Shinshu University (JP), Japan Science and Technology Agency (JP), RIKEN Center for Biosystems Dynamics Research (JP), RIKEN Center for Integrative Medical Sciences (JP)
Japan Society for the Promotion of Science, RIKEN, Precursory Research for Embryonic Science and Technology
Openalex Percentile: Top 14%
Photoreceptor and optogenetics research
1.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.