https://doi.org/10.1140/epje/s10189-022-00223-0
Regular Article - Living Systems
Continuum modeling of non-conservative fluid membrane for simulating long-term cell dynamics
1
Nano Life Science Institute, Kakuma-machi, Kanazawa, Japan
2
Research Institute for Electronic Science, Hokkaido University, Sapporo, Japan
3
Global Station for Soft Matter, Global Institution for Collaborative Research and Education, Hokkaido University, Sapporo, Japan
4
Mechanobiology Institute, National University of Singapore, Singapore, Singapore
a
satokuda@staff.kanazawa-u.ac.jp
Received:
27
June
2022
Accepted:
30
July
2022
Published online:
19
August
2022
Living cells actively deform and move by their force generations in three-dimensional (3D) space. These 3D cell dynamics occur over a long-term time scale, ranging from tens of minutes to days. On such a time scale, turnover of cell membrane constituents due to endocytosis and exocytosis cannot be ignored, i.e., the surface membrane dynamically deforms without mass conservation. Although membrane turnover is essential for large deformation of cells, there is no computational framework yet to simulate long-term cell dynamics with a non-conservative fluidic membrane. In this paper, we proposed a computational framework for simulating the long-term dynamics of a cell membrane in 3D space. For this purpose, in the proposed framework, the cell surface membrane is treated as a viscous fluid membrane without mass conservation. Cell shape is discretized by a triangular mesh, and its dynamics are expressed by effective energy and dissipation function. The mesh structure, distorted by membrane motion, is dynamically optimized by introducing a modified dynamic remeshing method. To validate the proposed framework, numerical simulations were performed, showing that the membrane flow is reproduced in a physically consistent manner and that the artificial effects of the remeshing method were negligible. To further demonstrate the applicability of the proposed framework, numerical simulations of cell migration induced by a mechanism similar to the Marangoni effect, i.e., the polarized surface tension actively generated by the cell, were performed. The observed cell behaviors agreed with existing analytical solutions, indicating that the proposed computational framework can quantitatively reproduce long-term active cell dynamics with membrane turnover. Based on the simple description of cell membrane dynamics, this framework provides a useful basis for analyzing various cell shaping and movement.
Supplementary Information The online version contains supplementary material available at https://doi.org/10.1140/epje/s10189-022-00223-0
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