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Cell Movement - Zooming In
Single Cell Movement
Understanding the Lamellipodium
Cell Movement
Zooming In
A. M., D. Oelz, C. Schmeiser , N. Sfakianakis, An extended Filament Based Lamellipodium Model produces various moving cell shapes in the presence of chemotactic signals.
Journal of Theoretical Biology, 382 (2015), pp. 244-258
A. M., D. Oelz, C. Schmeiser, N. Sfakianakis, Numerical treatment of the Filament Based Lamellipodium Model, Modeling Cellular Systems, Springer, (2016)
Courant Institute, New York University
A.M. and C. Schmeiser, Decay to equilibrium of the filament end density along the leading edge of the lamellipodium, Journal of Mathematical Biology (2016), online first
Joint work with: C. Schmeiser, N. Sfakianakis, D. Ölz and S. Hirsch
S. Hirsch, A. M., C. Schmeiser, Mathematical modeling of myosin induced bistability of lamellipodial fragments, Journal of Mathematical Biology (2016), online first.
New York, 23. March, 2017
Michael Sixt, Vic Small
Jan Müller, Maria Nemethova
Biological Collaborators:
(IST, IMBA)
Actin filaments are polar with a fast polymerizing (plus) end
Filament Properties
Resistance to bending
Filaments are inextensible
Cross-linkers (e.g. FILAMIN) give stability
Adhesions (containing e.g. INTEGRINS) connect the network to the ground
Filament Interactions
What to include?
The Mathematical Model
Thin, sheet-like structure called LAMELLIPODIUM
What does the model do?
Analysis and Simulation
Branching
Capping and severing
Pressure
Pressure between
neighboring filaments
Filament number and
length regulation
Recycling Arp2/3
Regulating the Network
Myosin filaments can pull actin filaments
towards each other
Contraction
CONTRACTILE BUNDLE
D. Ölz, C. Schmeiser, How do cells move? Mathematical modeling of cytoskeleton dynamics and cell migration, in Cell mechanics: from single scale-based models to multiscale modelling, Chapman and Hall, (2010)
NUCLEUS
x
Submodel
Asymptotic
Full Model
Simulation
How do cells move?
The Biology
Wilson et al, Nature, 2003
A. M., D. Oelz, C. Schmeiser , N. Sfakianakis, An extended Filament Based Lamellipodium Model produces various moving cell shapes in the presence of chemotactic signals.
Journal of Theoretical Biology, 382 (2015), pp. 244-258
Csuc et al, Cytoskeleton, 2007
Different ratios
A. M., D. Oelz, C. Schmeiser, N. Sfakianakis, Numerical Treatment of the Filament Based Lamellipodium Model, Modeling Cellular Systems, Springer
Regime
A moving keratocyte
Cell-Cell Interactions
polymerization rate
(force dependent)
D. Peurichard & N. Sfakianakis
David Rogers, Vanderbilt University, 1950s
Stability analysis of the model reveals several stable steady states
Results are qualitatively reproduced in full FBLM
Existence of unique, global, mild solutions
Positivity of solutions
S. Hirsch, A. M., C. Schmeiser, Mathematical modeling of myosin induced bistability of Lamellipodial Fragments, Journal of Mathematical Biology (2016), online first.
A.M. and C. Schmeiser, Decay to equilibrium of the filament end density along the leading edge of the lamellipodium, Journal of Mathematical Biology (2016), online first
Model
x
Boundary Conditions
Periodic BC
MAIN EQUATION
single filament
cross-links
pressure
myosin
+ ADDITIONAL MODELS
Yam et al, J. Cell. Biol., 2007
filament end density
shortening of filaments
polymerization rate v
+ BOUNDARY CONDITIONS
Dirichlet BC
S. Hirsch, A. M., C. Schmeiser, Mathematical modeling of myosin induced bistability of Lamellipodial Fragments, Journal of Mathematical Biology (2016), online first.
Angelika Manhart (http://cims.nyu.edu/~amanhart/)
Exponential convergence
to the zero solution
Winkler et al, J. Struct. Biol., 2012
x
x=0
x=1
Courtesy of V. Small
Transcritical bifurcation
x
x=0
x=1
Exponential convergence
to the non-trivial solution, via a Lyapunov function
x
Winkler et al, J. Struct. Biol., 2012
Some existence results
of non-trivial steady state
solutions
1
Diffusive signal
Upregulated
polymerization
High membrane curvature
Regulating the
polymerization rate
Slow polymerization
Grimm et al, Eur. Biophys. J, 2003