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ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

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We implemented our individual-based model (IBM) for cell expansion in the software DEMeter++<br />

[5]. DEMeter++ offers a generic platform for particle-based simulations, such as the discrete element<br />

method and smoothed particle hydrodynamics. Cells are considered as particles that interact<br />

by physical forces. At each time-step, the forces are integrated for each particle, its resulting<br />

velocity is calculated and the cell positions are updated accordingly.<br />

3.1.1 Equation of motion<br />

Central to the individual-based model is the equation of motion. Since yeast lives in a low<br />

Reynolds number environment, their inertia can be neglected. Therefore we obtain a first-order<br />

equation of motion for each cell i that needs to be solved for the velocity, similar to [3]:<br />

Fi ∑ j + Fi,budding + Fi,Brownian = Γiwvi + ∑ Γi j(vi −v j), (1)<br />

jnni<br />

jnni<br />

with at the left hand side the mechanical forces between next neighboring cells jnni, the biological<br />

force of cell division (budding) and a force representing Brownian motion. The viscous terms are<br />

at the right hand side of this equation: the viscous drag force due to suspension in liquid, Γiwvi and<br />

the cell-cell friction forces between contacting cells jnni.<br />

We use the conjugate gradient method to obtain a coupled solution for the velocities. Next, a<br />

forward Euler scheme updates the cell positions asxi(t + dt) =xi(t) +vi(t + dt) · dt.<br />

3.1.2 Contact Mechanics<br />

The crucial step in “kin-recognition” happens when two yeast cells come into close contact. There<br />

are abundant models in the literature to capture the potential between two cells in close contact,<br />

see e.g. [6, 7, 1, 3, 8]. The simplest would be a harmonic potential, i.e. a linear spring which<br />

is at rest for a non-zero apparent overlap δ of the cells. Hertz showed that the repulsive forces<br />

between solid, elastic bodies are actually non-linear. This repulsive potential can be modified to<br />

take adhesion forces into account. Typically, it is assumed that the energy released by “binding” of<br />

adhesion-molecules is constant, and that those molecules are relatively evenly distributed. Then,<br />

the total energy released by the contact is proportional to the area of contact, thus yielding for the<br />

modified Hertz-potential:<br />

V (δ) = − 8δ 5 2<br />

ˆR + σ · πδ ˆR. (2)<br />

15Ê<br />

We use the common definitions for<br />

Ê =<br />

<br />

1 − ν 2 i<br />

Ei<br />

+ 1 − ν2 j<br />

E j<br />

−1<br />

<br />

and ˆR<br />

1<br />

= +<br />

Ri<br />

1<br />

−1 R j<br />

with Ei and E j being the Young’s moduli, νi and ν j the Poisson numbers and Ri and R j the radii<br />

of cells i and j, respectively. In equation (2), σ is defined as “surface energy per unit area” and is<br />

therefore the measure for cell adhesion. It can also be interpreted as average number of adhesionmolecules<br />

per area multiplied with their respective adhesion-energy.<br />

Interestingly, the adhesive part of the interaction-force due to this model for cell-cell contact does<br />

not directly depend on the overlap anymore:<br />

F(δ) = − 4<br />

3Ê δ 3 <br />

2 ˆR + σπ ˆR (3)<br />

The more complex JKR-potential (after [7]) yields for small apparent overlaps and the high<br />

Young’s moduli of the yeast cells the same forces as the modified Hertz-model, which performs<br />

slightly faster in the implementation and is therefore used.

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