BB3: Multiscale modelling and simulation for the life sciences: coupling the plasma membrane with the cytosol

Researcher:
Jean-Charles Seguis
Team Leader(s):
Prof. Kevin BurrageProf. David GavaghanDr David Kay & Dr Radek Erban
Collaborators:
N/A

Background

The need for hybrid models arises in computational biological simulations. The heterogeneity of the biological environments in terms of length scales makes it inaccurate to use exclusively discrete or continuous descriptions of biological processes. Hybrid models in biology combine partial differential equation (PDE) models driven by mobile discrete entities. We propose to build a new type of hybrid simulation in cell biology by modelling cells as finite-sized entities (discrete approach) interacting with signalling chemicals modelled by their density (continuous approach).

Techniques and Challenges

Using the fictitious domain method for finite-elements, we can set up a fixed mesh for the discretisation of the computational domain that is independent of the position of the modelled cells. This saves a substantial amount of computing effort by avoiding costly remeshing and interpolating between meshes. However, particular care must be given to the computation of the fictitious domain-specific operators accounting for the geometry of the problem. Moreover, the description of the interaction between finite-sized cells and signalling proteins, for instance, requires the use of realistic boundary conditions, such as Robin boundary conditions, for which no satisfactory fictitious domain method has yet been developed. Another challenge is to simulate the movement of non-overlapping particles, by taking into account possible collisions and managing them properly.

Results

We have built a hybrid simulation of a simple chemotactic system, in which mobile finite-sized cells preferably climb gradients of chemoattractant in the computational domain.

The Future

After we have validated this method by reproducing some qualitative results in chemotaxis, we intend to include more details in the modelling of the interface between cells and the extracellular space, and also to model more realistically the internal dynamics of cells.