Summary of ssbd-repos-000231

SSBD:database
URL

Name
ssbd-repos-000231 (231-Asakura-ERKactivation)
URL
DOI
-

Title
Live imaging of ERK activation on a small epithelial cell cluster during cell migration
Description
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Submited Date
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Release Date
2022-11-25
Updated Date
-
License
Funding information
-
File formats
Data size
179.5 MB

Organism
Canis lupus familiaris
Strain
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Cell Line
MDCK cell
Genes
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Proteins
ERK

GO Molecular Function (MF)
MAP kinase activity
GO Biological Process (BP)
cell migration
GO Cellular Component (CC)
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Study Type
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Imaging Methods
time lapse microscopy, FRET

Method Summary
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Related paper(s)

Yoshifumi Asakura, Yohei Kondo, Kazuhiro Aoki, Honda Naoki (2021) Hierarchical modeling of mechano-chemical dynamics of epithelial sheets across cells and tissue., Scientific reports, Volume 11, Number 1, pp. 4069

Published in 2021 Feb 18 (Electronic publication in Feb. 18, 2021, midnight )

(Abstract) Collective cell migration is a fundamental process in embryonic development and tissue homeostasis. This is a macroscopic population-level phenomenon that emerges across hierarchy from microscopic cell-cell interactions; however, the underlying mechanism remains unclear. Here, we addressed this issue by focusing on epithelial collective cell migration, driven by the mechanical force regulated by chemical signals of traveling ERK activation waves, observed in wound healing. We propose a hierarchical mathematical framework for understanding how cells are orchestrated through mechanochemical cell-cell interaction. In this framework, we mathematically transformed a particle-based model at the cellular level into a continuum model at the tissue level. The continuum model described relationships between cell migration and mechanochemical variables, namely, ERK activity gradients, cell density, and velocity field, which could be compared with live-cell imaging data. Through numerical simulations, the continuum model recapitulated the ERK wave-induced collective cell migration in wound healing. We also numerically confirmed a consistency between these two models. Thus, our hierarchical approach offers a new theoretical platform to reveal a causality between macroscopic tissue-level and microscopic cellular-level phenomena. Furthermore, our model is also capable of deriving a theoretical insight on both of mechanical and chemical signals, in the causality of tissue and cellular dynamics.
(MeSH Terms)

Contact(s)
Kazuhiro Aoki
Organization(s)
National Institute for Basic Biology
Image Data Contributors
Quantitative Data Contributors

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