Optimization of process conditions for mammalian fed-batch cell culture in automated micro-bioreactor system using genetic algorithm

In this study, we have successfully used a simple genetic algorithm as a method of experimental design for optimization of mammalian cell culture processes for two recombinant cell lines, one expressing a monoclonal antibody and one an Fc-fusion protein. Harnessing the automation capability of a robotically driven micro-bioreactor system to execute the genetic algorithm-derived experiments, a set of 14 process parameters was optimized within 132 experiments per cell line (six generations of 22 experiments), showing the feasibility of genetic algorithm approach as an alternative to classical statistical experimental designs.
Source: Journal of Biotechnology - Category: Biotechnology Source Type: research