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Flocking transitions in confluent tissues.

Fabio Giavazzi1, Matteo Paoluzzi, Marta Macchi

  • 1Università degli Studi di Milano, Dipartimento di Biotecnologie Mediche e Medicina Traslazionale, 20090 Segrate, Italy. roberto.cerbino@unimi.it.

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Summary
This summary is machine-generated.

Collective cell migration is crucial for development and disease. Aligning cell polarization with movement facilitates collective motion and tissue solidification, explained by statistical physics models.

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Area of Science:

  • Cell biology
  • Biophysics
  • Statistical mechanics

Background:

  • Collective cell migration is vital for embryonic development, wound healing, and cancer invasion.
  • Mechanisms of cohesive cell group movement remain poorly understood, unlike single-cell behaviors.

Purpose of the Study:

  • To elucidate the emergence of collective migration in mechanosensitive cells.
  • To investigate the role of orientational feedback in confluent tissue dynamics.

Main Methods:

  • Utilized a self-propelled Voronoi (SPV) model for confluent tissues.
  • Incorporated orientational feedback aligning cell polarization with local migration velocity.
  • Extended statistical physics tools (e.g., effective temperature) to a far-from-equilibrium system.

Main Results:

  • Aligning interactions significantly facilitate collective motion and promote tissue solidification.
  • Identified density-independent liquid-solid transitions governed by aligning interactions.
  • Model successfully accounts for experimental observations in epithelial monolayers.

Conclusions:

  • Aligning cell polarization is a key factor in collective cell migration and tissue solidification.
  • Statistical physics frameworks can predict transitions in far-from-equilibrium cellular systems.
  • The model predicts flocking signatures, offering a quantitative approach to collective motility.