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Forecasting Avalanches in Branched Actomyosin Networks with Network Science and Machine Learning
Chengxuan Li1,2, James Liman2,3, Yossi Eliaz1,2
1Department of Physics, University of Houston, Houston, Texas 77204, United States.
The Journal of Physical Chemistry. B
|October 19, 2021
Summary
Actin-related protein 2/3 (Arp2/3) complexes drive branched actomyosin network formation. Varying Arp2/3 concentration reveals network stalling, contraction, or sudden "avalanche" collapses, impacting network topology.
Area of Science:
- Biophysics
- Cell Biology
- Network Science
Background:
- Actomyosin networks are crucial for cellular processes.
- Actin-related protein 2/3 (Arp2/3) complexes nucleate branched actin filaments.
- Understanding Arp2/3's role in network dynamics is key.
Purpose of the Study:
- To investigate the dynamic and structural effects of Arp2/3 complexes on actomyosin networks.
- To explore how Arp2/3 concentration influences network reorganization.
- To identify novel avalanche phenomena in branched actomyosin networks.
Main Methods:
- Mechanochemical simulations of active matter networks.
- Coarse-grained modeling approach.
- Data science and network theory analysis.
Main Results:
- Arp2/3 complex alters actomyosin topology by nucleating branched filaments.
- Network behavior (stalling, contraction, collapse) depends on Arp2/3 concentration.
- A new 'social' network topology avalanche was discovered alongside size/shape avalanches.
Conclusions:
- Arp2/3 complexes are critical regulators of actomyosin network architecture and dynamics.
- Network theory and machine learning can predict avalanches in these systems.
- Findings enhance understanding of emergent topology reorganization in dense actomyosin networks.
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