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Updated: Jan 20, 2026

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Modelling chase-and-run migration in heterogeneous populations.

A Colombi1, M Scianna1, K J Painter2

  • 1Department of Mathematical Sciences "G. L. Lagrange" - Excellence Department 2018-2022, Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129, Turin, Italy.

Journal of Mathematical Biology
|August 31, 2019
PubMed
Summary
This summary is machine-generated.

Computational models reveal how neural crest cells (NCs) interact with placode cells (PCs) during development. This study explains the "chase-and-run" phenomenon, crucial for embryogenesis and cell migration dynamics.

Keywords:
Agent-based modelContact inhibition of locomotionInvasionNeural crest

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Area of Science:

  • Developmental Biology
  • Computational Biology
  • Cell Biology

Background:

  • Cell migration is fundamental to embryogenesis and disease.
  • Neural crest cells (NCs) migrate extensively during development.
  • Understanding NC and placode cell (PC) interactions is key to developmental processes.

Purpose of the Study:

  • To develop a computational model simulating NC and PC interactions.
  • To elucidate the mechanisms driving coordinated cell migration.
  • To investigate the
  • chase-and-run
  • phenomenon.

Main Methods:

  • Developed a computational model based on experimental findings.
  • Incorporated hypotheses on chemotaxis (Sdf1) and contact inhibition of locomotion (CIL).
  • Simulated NC-PC interactions, including heterotypic contacts.

Main Results:

  • The model semi-quantitatively reproduced the
  • chase-and-run
  • phenomenon.
  • Successfully simulated in vitro manipulations of NC migration and CIL.
  • The model's minimal assumptions explained observed coordinated migration.

Conclusions:

  • Mutual interactions between NCs and PCs govern coordinated migration.
  • Chemotaxis and CIL are key drivers of the observed
  • chase-and-run
  • dynamics.
  • The model provides a framework for predicting outcomes of altered cellular interactions.