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, 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.
Aragón Institute of Engineering Research (I3A), Department of Mechanical Engineering, University of Zaragoza Campus Rio Ebro, 50018 Zaragoza, Spain.
Carlos
C
Borau
Departments of Biological and Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139-4307, USA.
William J
WJ
Polacheck
Departments of Biological and Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139-4307, USA.
Roger D
RD
Kamm
Aragón Institute of Engineering Research (I3A), Department of Mechanical Engineering, University of Zaragoza Campus Rio Ebro, 50018 Zaragoza, Spain.
José Manuel
JM
García-Aznar
Cell migration; Finite elements; Mechanosensing; Microfluidic device; Modeling; Voxel