Improvement of a mammalian cell culture process by adaptive, model-based dialysis fed-batch cultivation and suppression of apoptosis

Both conventional and genetic engineering techniques can significantly improve the performance of animal cell cultures for the large-scale production of pharmaceutical products. In this paper, the effect of such techniques on cell yield and antibody production of two NS0 cell lines is presented. On the one hand, the effect of fed-batch cultivation using dialysis is compared to cultivation without dialysis. Maximum cell density could be increased by a factor of ~5–7 by dialysis fed-batch cultivation. On the other hand, suppression of apoptosis in the NS0 cell line 6A1 bcl-2 resulted in a prolonged growth phase and a higher viability and maximum cell density in fed-batch cultivation in contrast to the control cell line 6A1 (100)3. These factors resulted in more product formation (by a factor ~2). Finally, the adaptive model-based OLFO controller, developed as a general tool for cell culture fed-batch processes, was able to control the fed-batch and dialysis fed-batch cultivations of both cell lines.

[1]  Ernst J. M. Helmreich The Biochemistry of Cell Signalling , 2001 .

[2]  Athanassios Sambanis,et al.  Modeling of cell culture processes , 2004, Cytotechnology.

[3]  Daniel I. C. Wang,et al.  High cell density and high monoclonal antibody production through medium design and rational control in a bioreactor. , 2000, Biotechnology and bioengineering.

[4]  J. Barford,et al.  Structured modelling of animal cells , 1996, Cytotechnology.

[5]  J. Ljunggren,et al.  Catabolic control of hybridoma cells by glucose and glutamine limited fed batch cultures , 1994, Biotechnology and bioengineering.

[6]  G. van Straten,et al.  Comparison of optimization methods for fed-batch cultures of hybridoma cells , 1997 .

[7]  J. Ogbonna,et al.  Nutrient‐split feeding strategy for dialysis cultivation of Escherichia coli , 1993, Biotechnology and bioengineering.

[8]  W M Miller,et al.  Regulation of animal cell metabolism in bioreactors. , 1991, Biotechnology.

[9]  P. Nabet,et al.  Methods for reducing the ammonia in hybridoma cell cultures. , 1995, Journal of biotechnology.

[10]  M. Thoma,et al.  Mathematical modelling, parameter identification and adaptive control of single cell protein processes in tower loop bioreactors , 1985 .

[11]  S. Dhir,et al.  Dynamic optimization of hybridoma growth in a fed-batch bioreactor. , 2000, Biotechnology and bioengineering.

[12]  S. Dreyfus Some Types of Optimal Control of Stochastic Systems , 1964 .

[13]  D. Fassnacht,et al.  Influence of bcl-2 on antibody productivity in high cell density perfusion cultures of hybridoma , 1999, Cytotechnology.

[14]  G. Stacey,et al.  Hybridoma cell cultures continuously undergo apoptosis and reveal a novel 100 bp DNA fragment. , 1995, Journal of biotechnology.

[15]  D. Fassnacht,et al.  Influence of non-essential amino acids on apoptotic and necrotic death of mouse hybridoma cells in batch cultures , 2004, Biotechnology Letters.

[16]  F. Gòdia,et al.  Analysis of Nutritional Factors and Physical Conditions Affecting Growth and Monoclonal Antibody Production of the Hybridoma KB‐26.5 Cell Line , 1996, Biotechnology progress.

[17]  B. Buckland,et al.  Fed-batch culture of recombinant NS0 myeloma cells with high monoclonal antibody production. , 1997, Biotechnology and bioengineering.

[18]  D. King,et al.  High-Level Expression of a Recombinant Antibody from Myeloma Cells Using a Glutamine Synthetase Gene as an Amplifiable Selectable Marker , 1992, Bio/Technology.

[19]  John P. Barford,et al.  Effect of feed rate on growth rate and antibody production in the fed-batch culture of murine hybridoma cells , 2000, Cytotechnology.

[20]  D. Robinson,et al.  Feeding of nutrients delays apoptotic death in fed-batch cultures of recombinant NSO myeloma cells , 1996, Biotechnology Letters.

[21]  John Calvin Reed,et al.  Apoptosis-based therapies , 2002, Nature Reviews Drug Discovery.

[22]  William H. Press,et al.  Numerical recipes in C , 2002 .

[23]  Manfred Morari,et al.  Model predictive control: Theory and practice - A survey , 1989, Autom..

[24]  J E Bailey,et al.  Mathematical Modeling and Analysis in Biochemical Engineering: Past Accomplishments and Future Opportunities , 1998, Biotechnology progress.

[25]  Axel Munack,et al.  Adaptive, Model‐Based Control by the Open‐Loop‐Feedback‐Optimal (OLFO) Controller for the Effective Fed‐Batch Cultivation of Hybridoma Cells , 2002, Biotechnology progress.

[26]  Shaw-Shyan Wang,et al.  Role of glutamine in hybridoma cell culture: Effects on cell growth, antibody production, and cell metabolism , 1995 .

[27]  Michel Perrier,et al.  Fed-batch culture of hybridoma cells: comparison of optimal control approach and closed loop strategies , 1993 .

[28]  M. Fussenegger,et al.  Molecular Regulation of Cell‐Cycle Progression and Apoptosis in Mammalian Cells: Implications for Biotechnology , 1998, Biotechnology progress.

[29]  Herbert Märkl,et al.  High density fed-batch cultures for hybridoma cells performed with the aid of a kinetic model , 1996 .

[30]  M. J. Guardia,et al.  Cybernetic Modeling and Regulation of Metabolic Pathways in Multiple Steady States of Hybridoma Cells , 2000, Biotechnology progress.

[31]  T Kobayashi,et al.  Growth characteristics in fed‐batch culture of hybridoma cells with control of glucose and glutamine concentrations , 1994, Biotechnology and bioengineering.