The European network

for cell migration studies

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642866.

15 - Understanding spatio-temporal dynamics of the cytosol network during cell migration

Based on experimentally observed structures (IBIDI, GRAD, UKA, JUELICH, UDE, WEIZMANN, MBI, KNAW), we will develop and adapt current mathematical models of reaction-diffusion type (in 2D, 3D, on surfaces) to describe the spatio-temporal life cycles of actin and keratin filaments, their binding proteins, focal adhesions, hemidesmosomes and various regulatory molecules. We propose to adapt reaction models for actin and keratin filaments to describe biochemical processes such as nucleation, polymerisation and solubilisation, depolymerisation. The models derived will be solved efficiently, accurately and robustly by the use of moving and surface finite element methods in 2- and 3-D and on complex evolving topological surfaces. Ultimately, we will develop an integrated computational model to link the dependencies between the individual components of the life cycle.

A typical example of the application of the evolving surface finite element method when solving partial differential equations of reaction-diffusion type on an evolving open surface. The evolving surface finite element is a powerful numerical method for providing numerical solutions of systems of partial differential equations routinely encounter in cell biology where for example, the cell surface is continuously evolving. Here we exhibit patterns formed during cell-surface evolution.

Image analysis of integrated cytoskeletal network dynamics (P11)

Coupling bulk-surface models for cell migration (P12)

Shaping membranes and actin fibres by forces (P13)

Integrating shape change models and imaging – inverse problem solving and model validation (P14)

Understanding spatio-temporal dynamics of the cytosol network during cell migration  (P15)

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Last update: 19.12.2017