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1.
Biotechnol Bioeng ; 116(9): 2223-2235, 2019 09.
Article in English | MEDLINE | ID: mdl-31062870

ABSTRACT

Biomanufacturing exhibits inherent variability that can lead to variation in performance attributes and batch failure. To help ensure process consistency and product quality the development of predictive models and integrated control strategies is a promising approach. In this study, a feedback controller was developed to limit excessive lactate production, a widespread metabolic phenomenon that is negatively associated with culture performance and product quality. The controller was developed by applying machine learning strategies to historical process development data, resulting in a forecast model that could identify whether a run would result in lactate consumption or accumulation. In addition, this exercise identified a correlation between increased amino acid consumption and low observed lactate production leading to the mechanistic hypothesis that there is a deficiency in the link between glycolysis and the tricarboxylic acid cycle. Using the correlative process parameters to build mechanistic insight and applying this to predictive models of lactate concentration, a dynamic model predictive controller (MPC) for lactate was designed. This MPC was implemented experimentally on a process known to exhibit high lactate accumulation and successfully drove the cell cultures towards a lactate consuming state. In addition, an increase in specific titer productivity was observed when compared with non-MPC controlled reactors.


Subject(s)
Citric Acid Cycle , Glycolysis , Lactic Acid/metabolism , Models, Biological , Animals , CHO Cells , Cricetinae , Cricetulus , Forecasting
2.
Biotechnol Bioeng ; 114(7): 1438-1447, 2017 07.
Article in English | MEDLINE | ID: mdl-28128436

ABSTRACT

A simple method originally designed to control lactate accumulation in fed-batch cultures of Chinese Hamster Ovary (CHO) cells has been modified and extended to allow cells in culture to control their own rate of perfusion to precisely deliver nutritional requirements. The method allows for very fast expansion of cells to high density while using a minimal volume of concentrated perfusion medium. When the short-duration cell-controlled perfusion is performed in the production bioreactor and is immediately followed by a conventional fed-batch culture using highly concentrated feeds, the overall productivity of the culture is approximately doubled when compared with a highly optimized state-of-the-art fed-batch process. The technology was applied with near uniform success to five CHO cell processes producing five different humanized monoclonal antibodies. The increases in productivity were due to the increases in sustained viable cell densities. Biotechnol. Bioeng. 2017;114: 1438-1447. © 2017 Wiley Periodicals, Inc.


Subject(s)
Batch Cell Culture Techniques/methods , CHO Cells/cytology , CHO Cells/physiology , Cell Proliferation/physiology , Glucose/metabolism , Lactic Acid/metabolism , Perfusion/methods , Animals , Batch Cell Culture Techniques/instrumentation , Bioreactors , Cricetulus
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