Probabilistic Voxel-Fe model for single cell motility in 3D
Background: Cells respond to a variety of external stimuli regulated by the environment conditions. Mechanical, chemical and biological factors are of great interest and have been deeply studied. Furthermore, mathematical and computational models have been rapidly growing over the past few years, p...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer
2014
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| Online Access: | http://hdl.handle.net/1721.1/91588 https://orcid.org/0000-0003-2728-0746 https://orcid.org/0000-0002-7232-304X |
| Summary: | Background:
Cells respond to a variety of external stimuli regulated by the environment conditions. Mechanical, chemical and biological factors are of great interest and have been deeply studied. Furthermore, mathematical and computational models have been rapidly growing over the past few years, permitting researches to run complex scenarios saving time and resources. Usually these models focus on specific features of cell migration, making them only suitable to study restricted phenomena.
Methods:
Here we present a versatile finite element (FE) cell-scale 3D migration model based on probabilities depending in turn on ECM mechanical properties, chemical, fluid and boundary conditions.
Results:
With this approach we are able to capture important outcomes of cell migration such as: velocities, trajectories, cell shape and aspect ratio, cell stress or ECM displacements.
Conclusions:
The modular form of the model will allow us to constantly update and redefine it as advancements are made in clarifying how cellular events take place. |
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