A metabolic flux based methodology was developed for modeling the metabolism of a Chinese hamster ovary cell line. The elimination of insignificant fluxes resulted in a simplified metabolic network which was the basis for modeling the significant metabolites. Employing kinetic rate expressions for growing and non-growing subpopulations, a logistic model was developed for cell growth and dynamic models were formulated to describe culture composition and monoclonal antibody (MAb) secretion. The model was validated for a range of nutrient concentrations. Good agreement was obtained between model predictions and experimental data. The ultimate goal of this study is to establish a comprehensive dynamic model which may be used for model-based optimization of the cell culture for MAb production in both batch and fed-batch systems.

The degradation of environmental conditions, such as nutrient depletion and accumulation of toxic waste products over time, often lead to premature apoptotic cell death in mammalian cell cultures and suboptimal protein yield. Although apoptosis has been extensively researched, the changes in the whole cell proteome during prolonged cultivation, where apoptosis is a major mode of cell death, have not been examined. To our knowledge, the work presented here is the first whole cell proteome analysis of non-induced apoptosis in mammalian cells. Flow cytometry analyses of various activated caspases demonstrated the onset of apoptosis in Chinese hamster ovary cells during prolonged cultivation was primarily through the intrinsic pathway. Differential in gel electrophoresis proteomic study comparing protein samples collected during cultivation resulted in the identification of 40 differentially expressed proteins, including four cytoskeletal proteins, ten chaperone and folding proteins, seven metabolic enzymes and seven other proteins of varied functions. The induction of seven ER chaperones and foldases is a solid indication of the onset of the unfolded protein response, which is triggered by cellular and ER stresses, many of which occur during prolonged batch cultures. In addition, the upregulation of six glycolytic enzymes and another metabolic protein emphasizes that a change in the energy metabolism likely occurred as culture conditions degraded and apoptosis advanced. By identifying the intracellular changes during cultivation, this study provides a foundation for optimizing cell line-specific cultivation processes, prolonging longevity and maximizing protein production.

The production of biopharmaceuticals from mammalian cell culture is hindered by apoptosis, which is the primary cause of cell death in these cultures. As a tool for optimization of culture yield, this study presents a population‐based model describing the progression of apoptosis in a monoclonal antibody (mAb)‐producing Chinese hamster ovary (CHO) cell culture. Because mAb production does not cease when apoptosis begins, the model was designed to incorporate subpopulations at various stages in the progression of apoptosis. The model was validated against intracellular measurements of caspase activity as well as cell density, nutrient levels, and toxic metabolites. Since the specific details of apoptotic mechanisms have not been elucidated in this cell line, we employed a model comparison analysis that suggests the most plausible pathways of activation. Biotechnol. Bioeng. 2012; 109:1193–1204. © 2011 Wiley Periodicals, Inc.

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The development of an efficient and productive cell-culture process requires a deep understanding of intracellular mechanisms and extracellular conditions for optimal product synthesis. Mathematical modeling provides an effective strategy to predict, control, and optimize cell performance under a range of culture conditions. In this study, a mathematical model is proposed for the investigation of cell damage of a Chinese hamster ovary cell culture secreting recombinant anti-RhD monoclonal antibody (mAb). Irreversible cell damage was found to be correlated with a reduction in pH. This irreversible damage to cellular function is described mathematically by a Tessier-based model, in which the actively growing fraction of cells is dependent on an intracellular metabolic product acting as a growth inhibitor. To further verify the model, an offline model-based optimization of mAb production in the cell culture was carried out, with the goal of minimizing cell damage and thereby enhancing productivity through intermittent refreshment of the culture medium. An experimental implementation of this model-based strategy resulted in a doubling of the yield as compared to the batch operation and the resulting biomass and productivity profiles agreed with the model predictions.