An innovative high-throughput medium development method based on media blending was successfully used to improve the performance of a Chinese hamster ovary fed-batch medium in shaking 96-deepwell plates. Starting from a proprietary chemically-defined medium, 16 formulations testing 43 of 47 components at 3 different levels were designed. Media blending was performed following a custom-made mixture design of experiments considering binary blends, resulting in 376 different blends that were tested during both cell expansion and fed-batch production phases in one single experiment. Three approaches were chosen to provide the best output of the large amount of data obtained. A simple ranking of conditions was first used as a quick approach to select new formulations with promising features. Then, prediction of the best mixes was done to maximize both growth and titer using the Design Expert software. Finally, a multivariate analysis enabled identification of individual potential critical components for further optimization. Applying this high-throughput method on a fed-batch, rather than on a simple batch, process opens new perspectives for medium and feed development that enables identification of an optimized process in a short time frame.

A high-throughput DoE approach performed in a 96-deepwell plate system was used to explore the impact of media and feed components on main quality attributes of a monoclonal antibody. Six CHO-S derived clonal cell lines expressing the same monoclonal antibody were tested in two different cell culture media with six components added at three different levels. The resulting 384 culture conditions including controls were simultaneously tested in fed-batch conditions, and process performance such as viable cell density, viability, and product titer were monitored. At the end of the culture, supernatants from each condition were purified and the product was analyzed for N-glycan profiles, charge variant distribution, aggregates, and low molecular weight forms. The screening described here provided highly valuable insights into the factors and combination of factors that can be used to modulate the quality attributes of a molecule. The approach also revealed specific intrinsic differences of the selected clonal cell lines - some cell lines were very responsive in terms of changes in performance or quality attributes, whereas others were less affected by the factors tested in this study. Moreover, it indicated to what extent the attributes can be impacted within the selected experimental design space. The outcome correlated well with confirmations performed in larger cell culture volumes such as small-scale bioreactors. Being fast and resource effective, this integrated high-throughput approach can provide information which is particularly useful during early stage cell culture development.

N-linked glycosylation is of key importance for the efficacy of many biotherapeutic proteins such as monoclonal antibodies (mAbs). Media components and cell culture conditions have been shown to significantly affect N-linked glycosylation during the production of glycoproteins using mammalian cell fed-batch cultures. These parameters inevitably change in modern industrial processes with concentrated feed additions and cell densities beyond 2 × 10 cells/mL. In order to control the time-dependent changes of protein glycosylation, an automated microbioreactor system was used to investigate the effects of culture pH, ammonia, galactose, and manganese chloride supplementation on nucleotide sugars as well as mAb N-linked glycosylation in a time-dependent way. Two different strategies comprising of a single shift of culture conditions as well as multiple media supplementations along the culture duration were applied to obtain changing and constant glycosylation profiles. The different feeding approaches enabled constant glycosylation patterns throughout the entire culture duration at different levels. By modulating the time evolution of the mAb glycan pattern, not only the endpoint but also the ratios between different glycosylation structures could be modified. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:1123-1134, 2016.

The objective of the present study was to investigate the effect of hydrodynamic stress heterogeneity on metabolism and productivity of an industrial mammalian cell line. For this purpose, a novel Lobed Taylor-Couette (LTC) mixing unit combining a narrow distribution of hydrodynamic stresses and a membrane aeration system to prevent cell damage by bubble bursting was developed. A hydrodynamic analysis of the LTC was developed to reproduce, in a uniform hydrodynamic environment, the same hydrodynamic stress encountered locally by cells in a stirred tank, particularly at the large scale, e.g., close and far from the impeller. The developed LTC was used to simulate the stress values near the impeller of a laboratory stirred tank bioreactor, equal to about 0.4 Pa, which is however below the threshold value leading to cell death. It was found that the cells actively change their metabolism by increasing lactate production and decreasing titer while the consumption of the main nutrients remains substantially unchanged. When considering average stress values ranging from 1 to 10 Pa found by other researchers to cause physiological response of cells to the hydrodynamic stress in heterogeneous stirred vessels, our results are close to the lower boundary of this interval.