mark chaplain, the simbios centre, division of mathematics, university of dundee, dundee, dd1 4hn...

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Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton biomechanics and cell membrane deformation [email protected] http://www.maths.dundee.ac.uk/~chaplain http://www.simbios.ac.uk

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Page 1: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Mark Chaplain,The SIMBIOS Centre,Division of Mathematics,University of Dundee, Dundee, DD1 4HNSCOTLAND

Mathematical modelling of cell cytoskeleton biomechanics and cell membrane deformation

[email protected]

http://www.maths.dundee.ac.uk/~chaplain

http://www.simbios.ac.uk

Page 2: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Dr. Angélique Stéphanou,

Dr. Philippe Tracqui,

Laboratoire TIMC-IMAG,CNRS UMR 5525,Equipe Dynacell,38706 La Tronche CedexFrance

Collaborative work

“A mathematical model for the dynamics of large membranedeformations of isolated fibroblasts”Bull. Math. Biol. 66, 1119-1154 (2004)

Page 3: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Talk Overview

• Biological background• Examples of cell migration• Model derivation• Linear stability analysis• Numerical computations• Application to chemotaxis • Conclusions

Page 4: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 1. Schematic representation of the cell which illustrates the phospholipid bilayer,the cell membrane and the interconnected network of F-actin filaments which forms theactin cytoskeleton. The cell body is assumed to be confined in a circular area with radiusR0. The cell cortex where remodelling of the actin cytoskeleton mainly occurs correspondsto the area bounded at one side by the outer boundary of the cell body and at the other side by the cell membrane. The width of the cell cortex in any angular direction θ is givenby L(θ).

Schematic cell

Page 5: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 2. Videomicrograph of non-migrating L929 fibroblasts observed with phase contrastmicroscopy. This videomicrograph shows the most typical morphologies exhibited bythis type of cell at their resting state (namely a non-migrating state). Fibroblasts typicallypresent ‘starry’ morphologies involving from 2 to 4 thin membrane extensions which aremore often homogeneously distributed around the cell body.

Page 6: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 3. Spatio-temporal representations of the cells (cell polarity maps) which illustrates a variety of typical cell morphologies observed experimentally, with cells presenting, respectively, 2, 3 and 4 simultaneous protrusions each; the protrusive directions usually remain located along one axis for significantly long time periods (up to 12 h).

Page 7: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Aggregation of Dictyostelium amoebae towards a cAMP point source. Movie produced by G. Gerisch, Max-Planck-Institut fur Biochemie,

Martinsried, Germany.

A single cell moves chemotactically towards a cAMP point source.

Movie produced by G. Gerisch, Max-Planck-Institut fur Biochemie, Martinsried, Germany.

Cell migratory response to soluble chemicals:CHEMOTAXIS

Page 8: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

No ECM

with ECM

ECM + tenascinEC &

Cell migratory response to local tissue environment cues

Non-diffusible molecules bound to the extracellular matrix

HAPTOTAXIS

Page 9: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Haptotaxis

Chemotaxis

Extracellular Matrix

TAF Receptor

Integrins

The Tissue Response Unit

Page 10: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Angiogenesis

Page 11: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

The Role of Angiogenesis in the Metastatic Cascade

Page 12: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Cell migration in wound healing

Page 13: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

The Individual Cancer Cell“A Nonlinear Dynamical System”

Page 14: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Schematic representation of the cell which illustrates the phospholipid bilayer,the cell membrane and the interconnected network of F-actin filaments which forms theactin cytoskeleton. The cell body is assumed to be confined in a circular area with radiusR0. The cell cortex where remodelling of the actin cytoskeleton mainly occurs correspondsto the area bounded at one side by the outer boundary of the cell body and at the other side by the cell membrane. The width of the cell cortex in any angular direction θ is givenby L(θ).

Schematic cell

Page 15: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Modelling hypotheses

• Sol/gel transition of actin regulated by local calcium concentration

• Actin polymerisation in neighbourhood ofmembrane causes protrusion – Brownian ratchet mechanism

• Myosin I + actin = propulsion of filaments towards membrane

• Pressure-driven protrusion

Page 16: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Model Variables

Stress σ in the cytoskeleton - mechanical properties

F-actin concentration a – chemical dynamics of cytoskeleton

Membrane deformation L - linked to actin dynamics

Page 17: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Stress Equation

,0)( pcev

,1

)(

,)(

[/2

''

21

II

II

]I

I

pp

eaa

E

p

aac

e

v

sat

,

,

contractile stress

osmotic stress

elastic stress

viscous stress

Page 18: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

stress osmotic

network actomyosin of activity econtractil

ratio) Poisson'smodulus, Young's(

network actin of sviscositie bulk and shearand

dilation

tensor identity

directions tangential and radial in ntdisplaceme

tensor strain

1

)(

)(

)21/(),1/(

),2

1

''

2

p

a

E

EE

vu

T

u

I

(u

uu

Page 19: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Actin Equation

).(2 aakt

aaDt

aca

u

ac = F-actin concentration differentiating states of polymerization and depolymerization of actin

Page 20: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Membrane Deformations

Mechanical forces acting on cell membrane:

• friction force between membrane and substrate, ΦV = Φ ∂L/∂t• constant protrusive force P due to hydrostatic pressure within cell• an active force σ(a) which depends on local concentration of actin• a membrane curvature-dependent force τΚL , where τ is a constant characterizing the membrane tension and ΚL is the curvature

Page 21: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Membrane Equation

LKLaPt

L

)(

where L = L(θ) denotes the radial extension of the cell cortex

Page 22: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

.)(

),(

,0)(

2

L

ca

pcev

KLaPt

L

aakt

aaDt

a

u

System of Equations

Page 23: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

.

))((

))(()(2

,2

))(),((,

2/3

20

2

202

2

0

2

2/322'

2''2'

2/32'2'

''''''

RLL

RLL

RLL

K

rr

rrrrK

sysxyx

yxyxK

Curvature

Page 24: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Main modelling assumption:

• 1D approximation • actin dynamics are restricted to a circle of radius r*

• no displacement of actin in radial direction, no contraction of cytogel in this direction

00

ur

v

r

u

r

a and

Model Simplification

Page 25: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

.

2

20

11

2

1

1

2

1

0))()(][( ''21

r

vr

v

r

uv

rr

v

r

vu

r

r

v

r

vu

rr

u

paE IIII

Page 26: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

012

01

rrr

rrr

r

rrrrr

total

Page 27: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

)'1

(

)()()'1(')21

(

)'1

(2

1

)()(''2

Err

paE

Err

paErr

Page 28: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

)'1

(2

1])()'1(')

21[(

)()

2

3'(')212

3(

*

Er

aE

r

prE

Page 29: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

sEEE

r

va

v

r

Ev

r

r

vaE

Esvsv

1',)1'(',

21

2])([

2])([

2123

)23'('

,

***

*

Page 30: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Membrane and actin dynamics are coupled by means of the following equation describing the conservation of actin:

).()(1

),(),(),(

*2

2

2*

QQkvQr

Q

r

D

t

Q

tatLtQ

ca

Page 31: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

sataa

L

eaa

KLaPt

L

aLvLar

La

r

D

t

La

r

va

v

r

Ev

r

/2

*2

2

2*

***

)(

)(

)1()(1)()(

2])(

1[0

Simplified Equations

Page 32: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Linear Stability Analysis

Linear stability analysis is carried out in order todetermine the conditions required for the model parameters to generate self-sustained oscillationsof the membrane – destabilization of uniform steady-state through a Hopf bifurcation

Page 33: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Steady State

2)()1('0

)1(

0)1(')1(

.)exp(~

0,)1(

,1

2*

*

022

*0

22

*

0

0

000

kEikr

r

Likk

r

DLk

r

DL

etciktaaa

vP

La

Page 34: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Dispersion Equation

The dispersion equation found from the solution of det(A) = 0, is given by:

0)()()( 22232 ckbkak

0)()()(0)(,0)( 22222 kckbkaandkaka

Page 35: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 4. Conditions required to satisfy the Routh–Hurwitz criteria.

Page 36: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Static Membrane Deformations

])sin([)(

)(

0

m

KLPt

LL

Replace retraction force σ(a) by γ(θ):

α and m control amplitude of deformation and modeof deformation respectively

Page 37: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 5. Potential cell morphologies obtained for various modes of deformation (m = 1, 2, 3, 4, 5, 10) of the function γ (θ) representing a spatial modulation of the F-actin filament stiffness. In each graph, the dotted curve represents the initial cell shape [circular shape L(θ, t = 0) = L0] and the most external curve the analytical solution of the equation for the membrane deformations [equation (11)] taken for τ = 0 (passive membrane).The two internal curves correspond to the numerical solutions of that same equation fortwo different values of the membrane stiffness coefficient, namely τ = 0.05 and τ = 0.1.

Page 38: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Dynamic Membrane Deformations

sataa

L

eaa

KLaPt

L

aLvLar

La

r

D

t

La

r

va

v

r

Ev

r

/2

*2

2

2*

***

)(

)(

)1()(1)()(

2])(

1[0

Numerical computation of equations: Crank-Nicholsonfinite differences, relaxation scheme; periodic boundary conditions; initial conditions random perturbations of F-actin concentration around homogeneous steady-state in circular morphology.

Page 39: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 6. Simulation results of the spatio-temporal evolution of the cell membrane deformations (left side), together with the corresponding actin distributions (right side).rotating wave of deformation;

Numerical Simulation Results

L(θ,t) a(θ,t)

Page 40: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

symmetrical pulsation

asymmetrical (or alternating) pulsation

L(θ,t) a(θ,t)

Page 41: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 7. Simulated cell membrane deformations (asymptotic state associated with the topgraph of Fig. 6). Snapshots are taken every 200 iterations (_t = 0.2). The counterclockwisewave of deformation has a periodicity of about 2.8 normalized time units (sequenceto be read from top to bottom).

Page 42: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 8. Simulated cell membrane deformations (asymptotical state associated with themiddle graph of Fig. 6). Snapshots are taken every 200 iterations (_t = 0.2). The pulsationof the cell deformation has a periodicity of about 2.2 normalized time units (sequenceto be read from top to bottom).

Page 43: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 9. Simulated cell membrane deformations (asymptotic state associated with thebottom graph of Fig. 6). Snapshots are taken every 200 iterations (_t = 0.2). Thealternating pulsation of the cell deformation has a periodicity of about 2.8 normalized timeunits (sequence to be read from top to bottom).

Page 44: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 10. Videomicroscopy sequence of a L929 pulsating fibroblast. The time intervalbetween two consecutive pictures is about 2 min (sequence to be read from top to bottom).

Page 45: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton
Page 46: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 11. Simultaneous plots of actin distribution and corresponding membrane deformationsin upper graphs. In the lower rectangular graphs, the associated tangential displacementsof actin are displayed. These four graphs correspond to the snapshots 1, 3, 4and 5 of the sequence of Fig. 7 associated with the normalized times 5, 5.4, 5.6 and 5.8respectively.

Page 47: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 12. Upper graph: evolution over time of the cell membrane deformations and ofthe associated actin distribution (higher amplitude curve) in normalized units, for a givenprotrusive direction. Lower graph: simultaneous evolution of the membrane deformationsfor two protrusive directions at 45◦ from each other.

Page 48: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 13. Schematic representation of a migrating cell exhibiting a characteristic domelikeshape where the thickest part represents the cell body. From the mechanical pointof view, intercalation of molecules in the membrane is responsible for cell morphologicalinstabilities.

Page 49: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 14. Schematic diagram exhibiting the two-step mechanism of migration, with firstthe membrane extension along the migration direction and second the cell body translocation,i.e., the displacement of the cell body at the new position of the cell geometricalbarycentre. This second step occurs when the adhesion force becomes able to overcomethe tension force of the actomyosin fibres in the cortex.

Page 50: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

)()( CC

modification of membrane tension coefficient τ in presence of a chemoattractant, concentration C

where Λ(C) is a function which characterizes the sensitivity of the cell to the extracellular factor

Page 51: Mark Chaplain, The SIMBIOS Centre, Division of Mathematics, University of Dundee, Dundee, DD1 4HN SCOTLAND Mathematical modelling of cell cytoskeleton

Figure 15. Migration of the cell towards a linear front of chemoattractant, which showslimited lamellipodial extension due to the small deformation limitation of the initial model.