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Updated: Dec 13, 2025

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Periodic propagating waves coordinate RhoGTPase network dynamics at the leading and trailing edges during cell

Alfonso Bolado-Carrancio1, Oleksii S Rukhlenko2, Elena Nikonova2

  • 1Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.

Elife
|July 25, 2020
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Summary

Cell migration relies on coordinated front and rear dynamics. This study reveals a minimal biochemical network, involving RhoA and Rac1 GTPases, that drives these coordinated cell movements through oscillating waves.

Keywords:
cell biologycell migrationcomputational biologyhumanmathematical modelingnonlinear dynamicsoscillations and wavesrho gtpasessystems biology

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Area of Science:

  • Cell Biology
  • Biochemistry
  • Mathematical Modeling

Background:

  • Cell migration requires precise coordination between leading edge protrusion and trailing edge retraction.
  • The molecular mechanisms governing this dynamic coordination remain incompletely understood.

Purpose of the Study:

  • To elucidate the minimal biochemical machinery responsible for coordinating cell migration dynamics.
  • To understand how distinct leading and trailing edge activities are regulated during cell movement.

Main Methods:

  • Combined experimental approaches with mathematical modeling.
  • Investigated the roles of RhoA and Rac1 GTPase signaling pathways.
  • Analyzed GTPase activity patterns and oscillations in migrating cells.

Main Results:

  • Identified a feedback loop involving RhoA and Rac1, mediated by DIA, ROCK, and PAK.
  • Demonstrated that RhoA-ROCK interactions dominate at the rear, while RhoA-DIA interactions are prominent at the front.
  • Showed that propagating waves of GTPase activity from the cell front trigger rear retraction.

Conclusions:

  • A minimal autonomous biochemical network involving RhoA and Rac1 oscillations coordinates cell migration.
  • Periodic GTPase waves are crucial for synchronizing leading and trailing edge dynamics.
  • This signaling network provides a framework for understanding cell motility and polarization.