Reconstructing actin dynamics of the leading edge from observational data

Mesenchymal cell migration starts with the protrusion of the cell's leading edge, enabled by the branching growth of the actin network. Two crucial molecular players in protrusion are actin filaments and the Arp2/3 complex, the branching agent. Traditionally, protrusion models are intuited from several perturbative experiments. Recent multiplex microscopy imaging data promise to change this paradigm by providing measurements of naturally fluctuating densities of key proteins at the leading edge of unperturbed cells. We report an attempt to reconstruct the mechanistic protrusion model from such data. We analyze fluctuations of densities of actin filaments and Arp2/3 complex and cell edge velocity using phase space and regression analysis to reconstruct linearized dynamics of the coupled actin-Arp2/3-velocity system. We then build a nonlinear model of these dynamics based on previous knowledge of this system and parsimony. The resulting models recover the rates of reactions and mechanical and transport processes in the lamellipodium from a single nonperturbative experiment. The models posit that the dominant nonlinear term in the lamellipodial dynamics corresponds to the retrograde flow of the actin network in the cell frame. The models suggest that the protrusion is dominated by a damped oscillatory cycle resulting from a combination of positive feedback from the Arp2/3 complex to protrusion velocity and negative feedback from actin density to the velocity.

Authors

Institutions

Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-10-16
DOI
https://doi.org/10.1073/pnas.2603666123
Primary Topic
Cellular Mechanics and Interactions
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Reconstructing actin dynamics of the leading edge from observational data

Alex Mogilner, Christopher E. Miles, Gaudenz M. Danuser, Jungsik Noh et al.
Proceedings of the National Academy of Sciences
Cellular Mechanics and Interactions
article

Reconstructing actin dynamics of the leading edge from observational data

Alex Mogilner, Christopher E. Miles, Gaudenz M. Danuser, Jungsik Noh, Wenzheng Shi
article en

Abstract

Mesenchymal cell migration starts with the protrusion of the cell's leading edge, enabled by the branching growth of the actin network. Two crucial molecular players in protrusion are actin filaments and the Arp2/3 complex, the branching agent. Traditionally, protrusion models are intuited from several perturbative experiments. Recent multiplex microscopy imaging data promise to change this paradigm by providing measurements of naturally fluctuating densities of key proteins at the leading edge of unperturbed cells. We report an attempt to reconstruct the mechanistic protrusion model from such data. We analyze fluctuations of densities of actin filaments and Arp2/3 complex and cell edge velocity using phase space and regression analysis to reconstruct linearized dynamics of the coupled actin-Arp2/3-velocity system. We then build a nonlinear model of these dynamics based on previous knowledge of this system and parsimony. The resulting models recover the rates of reactions and mechanical and transport processes in the lamellipodium from a single nonperturbative experiment. The models posit that the dominant nonlinear term in the lamellipodial dynamics corresponds to the retrograde flow of the actin network in the cell frame. The models suggest that the protrusion is dominated by a damped oscillatory cycle resulting from a combination of positive feedback from the Arp2/3 complex to protrusion velocity and negative feedback from actin density to the velocity.

Proceedings of the National Academy of SciencesVol. 123(42)
University of Utah (US), Courant Institute of Mathematical Sciences (US), New York University (US), The University of Texas Southwestern Medical Center (US)
National Science Foundation, National Institute of General Medical Sciences, Division of Mathematical Sciences
Openalex Percentile: Top 17%
Cellular Mechanics and Interactions
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.