TY - JOUR
T1 - Model for self-polarization and motility of keratocyte fragments
AU - Ziebert, F.
AU - Swaminathan, S.
AU - Aranson, I. S.
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: We thank J. Oliver, P. Sens, E. Raphael, J. Prost, J.-F. Joanny, F. Julicher and K. Kruse for stimulating discussions. We also would like to thank one of the referees to point out the connection to nematic droplets. F.Z. thanks the DFG for partial funding via IRTG 1642 Soft Matter Science. S.S. acknowledges support from KAUST, the University of Oxford and the DDR&E and AFOSR under Award No. FA9550-10-1-0167. I.S.A. thanks the ESPCI for hospitality and the CNRS for support during his stay. The work of I.S.A. was supported by the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Materials Science and Engineering, under Contract DE-AC02-06CH11357.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2011/10/19
Y1 - 2011/10/19
N2 - Computational modelling of cell motility on substrates is a formidable challenge; regulatory pathways are intertwined and forces that influence cell motion are not fully quantified. Additional challenges arise from the need to describe a moving deformable cell boundary. Here, we present a simple mathematical model coupling cell shape dynamics, treated by the phase-field approach, to a vector field describing the mean orientation (polarization) of the actin filament network. The model successfully reproduces the primary phenomenology of cell motility: discontinuous onset of motion, diversity of cell shapes and shape oscillations. The results are in qualitative agreement with recent experiments on motility of keratocyte cells and cell fragments. The asymmetry of the shapes is captured to a large extent in this simple model, which may prove useful for the interpretation of experiments.
AB - Computational modelling of cell motility on substrates is a formidable challenge; regulatory pathways are intertwined and forces that influence cell motion are not fully quantified. Additional challenges arise from the need to describe a moving deformable cell boundary. Here, we present a simple mathematical model coupling cell shape dynamics, treated by the phase-field approach, to a vector field describing the mean orientation (polarization) of the actin filament network. The model successfully reproduces the primary phenomenology of cell motility: discontinuous onset of motion, diversity of cell shapes and shape oscillations. The results are in qualitative agreement with recent experiments on motility of keratocyte cells and cell fragments. The asymmetry of the shapes is captured to a large extent in this simple model, which may prove useful for the interpretation of experiments.
UR - http://hdl.handle.net/10754/598849
UR - https://royalsocietypublishing.org/doi/10.1098/rsif.2011.0433
UR - http://www.scopus.com/inward/record.url?scp=84860761612&partnerID=8YFLogxK
U2 - 10.1098/rsif.2011.0433
DO - 10.1098/rsif.2011.0433
M3 - Article
C2 - 22012972
SN - 1742-5689
VL - 9
SP - 1084
EP - 1092
JO - Journal of the Royal Society Interface
JF - Journal of the Royal Society Interface
IS - 70
ER -