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Carine P Beatrici1, Leonardo G Brunnet

  • 1Instituto de Física, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, 9500, P.B. 15051, 91501-970 Porto Alegre, Brazil. carine.beatrici@ufrgs.br

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Summary
This summary is machine-generated.

This study models cell aggregates using self-propelled particles, finding that motility differences alone can drive segregation. Faster cells envelop slower ones, contrary to some experimental observations.

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Area of Science:

  • Computational Biology
  • Biophysics
  • Cellular Dynamics

Background:

  • Cell aggregate formation and segregation are crucial biological processes.
  • Existing models often rely on differential adhesion to explain cell sorting.
  • The role of individual cell motility as a segregation driver requires further investigation.

Purpose of the Study:

  • To investigate segregation in cell aggregates driven solely by differences in cell motility.
  • To explore the influence of neighbor-following behavior on aggregate dynamics.
  • To map conditions for segregation using parameter diagrams.

Main Methods:

  • Simulation of self-propelled particles representing cells.
  • Modeling homogeneous adhesion forces and differential motility.
  • Incorporation of neighbor-following tendencies.
  • Analysis of segregation using an order parameter and parameter diagrams.

Main Results:

  • Motility differences alone can induce segregation in simulated cell aggregates.
  • Segregation patterns show similarities to those from differential adhesion models.
  • Faster-moving cells were observed to envelop slower-moving cells in simulations.

Conclusions:

  • Cellular motility differences are a significant factor in aggregate segregation.
  • Simulation results highlight a potential discrepancy with some experimental findings regarding cell ordering.
  • The model provides a framework for understanding self-propelled particle systems in biological contexts.