Summary of 231-Asakura-ERKactivation

SSBD:database URL
Live imaging of ERK activation on a small epithelial cell cluster during cell migration
Relase date
Updated date
Image data based on Experiment
Number of Datasets
1 ( Image datasets: 1, Quantitative data datasets: 0 )
Size of Datasets
179.5 MB ( Image datasets: 179.5 MB, Quantitative data datasets: 0 bytes )

Canis lupus familiaris
Cell lines(s)
MDCK cell
Protein name(s)

Molecular Function (MF)
MAP kinase activity
Biological Process (BP)
cell migration
Cellular Component (CC)
Biological Imaging Method
time lapse microscopy, FRET
X scale
1.48 micrometer/pixel
Y scale
1.48 micrometer/pixel
Z scale
T scale
180 seconds per time interval

Image Acquisition
Experiment type
Microscope type
Acquisition mode
Contrast method
Microscope model
Detector model
Objective model
Filter set

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)

Kazuhiro Aoki , National Institute for Basic Biology

Dataset List of 231-Asakura-ERKactivation

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# 8806
Dataset Kind Image data
Dataset Size 179.5 MB
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