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Poster

Metabolic Flux Analysis of AAT Production in AGE1.HN.AAT Cells under Different Cultivation Conditions

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons86293

Freund,  Susann
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons86444

Rath,  Alexander
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons86448

Reichl,  Udo
Otto-von-Guericke-Universität Magdeburg;
Bioprocess Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Zitation

Freund, S., Rath, A., Rose, T., Sandig, V., & Reichl, U. (2012). Metabolic Flux Analysis of AAT Production in AGE1.HN.AAT Cells under Different Cultivation Conditions. Poster presented at ESBES - 9 th European Symposium on Biochemical Engineering Science, Istanbul.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-887A-8
Zusammenfassung
Mammalian cells play a major role in pharmaceutical industry and are essential for the production of glycosylated proteins. For industrial application productivity is of main interest. In this study the productivity of the human cell line AGE1.HN.AAT[1] under different experimental conditions is investigated. Cells were cultivated in shaker flasks for 70 h using standard cultivation conditions at 37°C and an initial glucose concentration of 30 mM. In the late exponential growth phase cultivation conditions were changed. As described in literature reduction of temperature resulted in higher product titers. In the absence of glucose, the cell concentration remained constant for about 30 h at a high viability. Interestingly, the cells still produced AAT. Experimental findings will be discussed based on a comprehensive model using metabolic flux analysis.