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Assembly of Cytoskeletal Filaments

Cytoskeletal filaments are polymeric forms of smaller protein subunits. However, individual cytoskeletal filaments may easily disassemble or associate with other similar filaments to form rigid structures. Microfilaments, made of actin monomers, rely on actin-binding proteins to form bundles and create networks of individual actin filaments. Microtubules rely on microtubule-associated proteins (MAPs) to form sturdy cylindrical structures. However, the proteins involved in forming complex...
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Tuning the Contractility and Deformation Modes of Active Actin-Based Assemblies In Vitro: From Two-Dimensional Active Networks to Liquid Crystal Drops
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Active spin model for cell assemblies on 1D substrates.

Harshal Potdar1, Ignacio Pagonabarraga2,3, Sudipto Muhuri1,4

  • 1Savitribai Phule Pune University, Department of Physics, Pune, 411007, India.

Physical Review. E
|June 19, 2026
PubMed
Summary
This summary is machine-generated.

We developed an active spin model to understand cell colony behavior. The model reveals how self-propulsion, attraction, and contact inhibition influence cell clustering and emergent properties.

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Area of Science:

  • Physics
  • Biophysics
  • Computational Biology

Background:

  • Micropatterned substrates enable studying cell-cell interactions and collective cell behavior.
  • Understanding emergent properties of cell assemblies is crucial in developmental biology and tissue engineering.

Purpose of the Study:

  • To propose and analyze an active spin model for cell assemblies.
  • To investigate emergent properties arising from cell-cell interactions and movement.

Main Methods:

  • Developed a lattice gas model incorporating self-propulsion, polarity switching, attraction, and contact inhibition locomotion (CIL).
  • Analyzed the model in confluent (no vacancies) and non-confluent (with vacancies) conditions.
  • Utilized exact solutions for equilibrium cases and mapping to the Katz-Lebowitz-Spohn model for specific limits.

Main Results:

  • In confluent conditions, the model simplifies to an exactly solvable equilibrium spin model.
  • Clustering in non-confluent systems is governed by the Péclet Number (Q).
  • Cluster size distribution exhibits universal scaling in the Q ≫ 1 limit and depends on particle density and CIL strength.

Conclusions:

  • The active spin model provides insights into cell assembly dynamics.
  • Emergent properties like clustering are sensitive to the interplay of motility and interaction parameters.
  • Phase behavior shows non-monotonic dependence on CIL strength, attraction, and self-propulsion.