4.8 Article

Theory of mechanochemical patterning and optimal migration in cell monolayers

期刊

NATURE PHYSICS
卷 17, 期 2, 页码 267-+

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NATURE PORTFOLIO
DOI: 10.1038/s41567-020-01037-7

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资金

  1. Austrian Science Fund (FWF) [P 31639]
  2. European Research Council [851288]
  3. JST, PRESTO [JPMJPR1949]
  4. European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant [665385]
  5. JSPS KAKENHI grant [17J02107]
  6. SPIRITS 2018 of Kyoto University
  7. Grants-in-Aid for Scientific Research [17J02107] Funding Source: KAKEN
  8. European Research Council (ERC) [851288] Funding Source: European Research Council (ERC)

向作者/读者索取更多资源

Collective cell migration involves spatiotemporal waves of density and ERK activation, influenced by mechanical forces and biochemical signaling. A biophysical model is developed to explain these phenomena and predict their use for robust and efficient long-ranged migration.
Collective cell migration offers a rich field of study for non-equilibrium physics and cellular biology, revealing phenomena such as glassy dynamics, pattern formation and active turbulence. However, how mechanical and chemical signalling are integrated at the cellular level to give rise to such collective behaviours remains unclear. We address this by focusing on the highly conserved phenomenon of spatiotemporal waves of density and extracellular signal-regulated kinase (ERK) activation, which appear both in vitro and in vivo during collective cell migration and wound healing. First, we propose a biophysical theory, backed by mechanical and optogenetic perturbation experiments, showing that patterns can be quantitatively explained by a mechanochemical coupling between active cellular tensions and the mechanosensitive ERK pathway. Next, we demonstrate how this biophysical mechanism can robustly induce long-ranged order and migration in a desired orientation, and we determine the theoretically optimal wavelength and period for inducing maximal migration towards free edges, which fits well with experimentally observed dynamics. We thereby provide a bridge between the biophysical origin of spatiotemporal instabilities and the design principles of robust and efficient long-ranged migration. Spatiotemporal waves appear during collective cell migration and are affected by mechanical forces and biochemical signalling. Here the authors develop a biophysical model that can quantitatively account for complex mechanochemical patterns, and predict how they can be used for optimal collective migration.

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