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Prediction and Optimization of the Yield and Growth of Adherent Cells on Microcarrier Populations| old_uid | 3867 |
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| title | Prediction and Optimization of the Yield and Growth of Adherent Cells on Microcarrier Populations |
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| start_date | 2008/01/21 |
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| schedule | 11h-12h |
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| online | no |
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| location_info | salle 2E02, salle de conférence du laboratoire J.-L. Lions (LJLL) |
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| summary | To maximize the yield and growth speed of the cell population changeable growth culture parameters have to be optimized. In vitro experiments are too expensive in time and resources to scan wide parameter ranges. Computer simulations can help to predict the growth behavior within a bioreactor. The proposed model simulates the cell growth of adherent cells on a population of microcarriers. All processes are implemented as stochastic processes and capture the biological processes in such a way that most of the parameters can be taken directly from the experimentalstart conditions. For the other parameters some strategies are proposed to extract their values from measured data. Within the proposed model, also the processes in suspension are taken into account. It is found that cell motion, anoikis, attachment and detachment have a significant impact on the yield and growth speed of the cell population. This allows the model to predict the system behavior during an initial lag-phase and permits it to adopt different cell and microcarrier concentrations. The model shows a good quantitative agreement with experimental data. In order to optimize the cell growth within the bioreactor, the model parameters were changed over wide ranges to study changes of the cell yield and growth speed of the cell population. Beside the evident improvements of increasing the initial microcarrier and cell concentration, the microcarrier radius and the adhesion of microcarrier surface were found to control the maximum yield and growth speed significantly. |
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| oncancel | salle inhabituelle |
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| responsibles | Perthame |
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