Chinese hamster ovary (CHO) cells are the primary platform for commercial expression of recombinant therapeutic proteins. Obtaining maximum production from the expression platform requires optimal cell culture medium (and associated nutrient feeds). We have used metabolite profiling to define the balance of intracellular and extracellular metabolites during the production process of a CHO cell line expressing a recombinant IgG4 antibody. Using this metabolite profiling approach, it was possible to identify nutrient limitations, which acted as bottlenecks for antibody production, and subsequently develop a simple feeding regime to relieve these metabolic bottlenecks. This metabolite profiling-based strategy was used to design a targeted, low cost nutrient feed that increased cell biomass by 35% and doubled the antibody titer. This approach, with the potential for utilization in non-specialized laboratories, can be applied universally to the optimization of production of commercially important biopharmaceuticals.

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Global metabolite analysis approaches, coupled with sophisticated data analysis and modeling procedures (metabolomics), permit a dynamic read-out of how cellular proteins interact with cellular and environmental conditions to determine cell status. This type of approach has profound potential for understanding, and subsequently manipulating, the regulation of cell function. As part of our study to define the regulatory events that may be used to maximize production of commercially valuable recombinant proteins from cultured mammalian cells, we have optimized the quenching process to allow retention of physiologically relevant intracellular metabolite profiles in samples from recombinant Chinese hamster ovary (CHO) cells. In a comparison of a series of candidate quenching procedures, we have shown that quenching in 60% methanol supplemented with 0.85% ammonium bicarbonate (AMBIC) at -40 degrees C generates a profile of metabolites that is representative of a physiological status based upon examination of key labile cellular metabolites. This represents a key feature for any metabolomic study with suspension cultured mammalian cells and provides confidence in the validity of subsequent data analysis and modeling procedures.