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Cell migration guided by long-lived spatial memory

delete2021-07-05
delete46
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OA
AI
D
D. D. Joseph
A
Alex Barbier–Chebbah
V
Victor Cellerin
O
Olivier Bénichou
R
René‐Marc Mège
R
Raphaël Voituriez *
B
Benoît Ladoux *
DOI:10.1038/s41467-021-24249-8delete
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Abstract

Abstract

En 中文
Living cells actively migrate in their environment to perform key biological functions-from unicellular organisms looking for food to single cells such as fibroblasts, leukocytes or cancer cells that can shape, patrol or invade tissues. Cell migration results from complex intracellular processes that enable cell self-propulsion, and has been shown to also integrate various chemical or physical extracellular signals. While it is established that cells can modify their environment by depositing biochemical signals or mechanically remodelling the extracellular matrix, the impact of such self-induced environmental perturbations on cell trajectories at various scales remains unexplored. Here, we show that cells can retrieve their path: by confining motile cells on 1D and 2D micropatterned surfaces, we demonstrate that they leave long-lived physicochemical footprints along their way, which determine their future path. On this basis, we argue that cell trajectories belong to the general class of self-interacting random walks, and show that self-interactions can rule large scale exploration by inducing long-lived ageing, subdiffusion and anomalous first-passage statistics. Altogether, our joint experimental and theoretical approach points to a generic coupling between motile cells and their environment, which endows cells with a spatial memory of their path and can dramatically change their space exploration. Cells can modify their environment by depositing biochemical signals or mechanically remodelling the extracellular matrix; the impact of such self-induced environmental perturbations on cell trajectories at various scales remains unexplored. Here authors show that motile cells leave long-lived physicochemical footprints along their way, which determine their future path.
Keywords:
RANDOM-WALKS
ACTIN FLOWS
CONFINEMENT
LOCOMOTION
DYNAMICS
POLARITY
FORCE
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Nature Communications cover
Nature Communications
IF:
15.7
Papers:
9.4W
Citations:
91.2W

Organization

C
centre national de la recherche scientifique (cnrs)
Scholars:
24.5W
Papers: 18.2W
Citations: 279
U
Universite Paris Cite
Scholars:
8.9W
Papers: 6.3W
Citations: 604
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