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.
incem@rwth-aachen.de
Advanced cell migration assays (P1)
Software Competence Center Hagenberg (SCCH) - Austria
Supervisor: Julian Mattes
Student: Dmytro Kotsur
14 - Model validation - integrating shape change models and imaging
In order to verify how well the predictions of cellular surface motion correspond to the motion of real cells, in a first step, we will compare, on a statistical level, a number of parameters describing the motion produced by simulations with the same parameters calculated for real cells. In a second step we will initialise the model's parameters by data measured from a concrete real cell and then compare the predicted states with the measurements obtained for the same cell at later time points. Rather than only comparing predicted and real states, we plan to define a certain set of “free” parameters of the model which we will adjust by minimising the difference between the predicted state and real state for other parameters. This will result in the development of optimal control models for cell motility.
Correlation analyses of migration structure components and front-rear interplay (P5)
Life cycle analysis of actin, focal adhesions and force measurements (P6)
Monitoring of cancer cell migration in living animals (P7)
Principles of actin cytoskeleton self-organisation (P8)
Mechanisms of downstream signalling from the Rho GTPase network to
cell morphogenesis and cell motility (P9)
Real-time tracking of keratinocyte migration and analysis of cell membrane shape changes (P10)
Speckle analysis of actin and keratin filament dynamics (P11)
Life time models (P12)
Shaping membranes and actin fibres by forces (P13)
Model validation - integrating shape change models and imaging (P14)
Integration of forces and life times (P15)
Last update: 18.04.2016