https://doi.org/10.1140/epje/s10189-025-00495-2
Regular Article - Living Systems
In vivo assessment of kinematic relationships for epithelial morphogenesis
1
Department of Integrated Sciences, Graduate School of Arts and Sciences, The University of Tokyo, 153-8902, Tokyo, Japan
2
Universal Biology Institute, The University of Tokyo, 113-0033, Tokyo, Japan
3
Department of Biological Sciences, Graduate School of Science, The University of Tokyo, 113-0032, Tokyo, Japan
4
Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 277-8561, Chiba, Japan
a
sugimura@bs.s.u-tokyo.ac.jp
b
csishihara@g.ecc.u-tokyo.ac.jp
Received:
30
January
2025
Accepted:
22
May
2025
Published online:
15
June
2025
Tissue growth and deformation result from the combined effects of various cellular events, including cell shape change, cell rearrangement, cell division, and cell death. Resolving and integrating these cellular events is essential for understanding the coordination of tissue-scale growth and deformation by individual cellular behaviors that are critical for morphogenesis, wound healing, and other collective cellular phenomena. For epithelial tissues composed of tightly connected cells, the texture tensor method provides a unified framework for quantifying tissue and cell strains by tracking individual cells in live imaging data. The corresponding kinematic relationships have been introduced in a hydrodynamic model that we previously reported. In this study, we quantitatively evaluated the kinematic equations proposed in the hydrodynamic model using experimental data from a growing Drosophila wing. To accomplish this, we introduced modified definitions of the texture tensor and confirmed that one of these modifications more accurately represents approximated cellular shapes without relying on ad hoc scaling factors. By utilizing the modified tensor, we demonstrated the compatibility of the strain rate tensors and the accuracy of both the kinematic and cell number density equations. These results cross-validate the modified texture analysis and the hydrodynamic model. Furthermore, the precision of the kinematic relationships achieved in this study provides a robust foundation for more advanced integration of modeling and experiment.
Shuji Ishihara is the lead contact.
Supplementary Information The online version contains supplementary material available at https://doi.org/10.1140/epje/s10189-025-00495-2.
© The Author(s) 2025
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