Media optimization for CHO fed-batch processes using a DoE approach in automated high-throughput single use ambr15 bioreactors

Grimm et al. BMC Proceedings 2015, 9(Suppl 9):P15 http://www.biomedcentral.com/1753-6561/9/S9/P15 POSTER PRESENTATION Open Access Media optimization for CHO fed-batch processes using a DoE approach in automated highthroughput single use ambr15 bioreactors Christophe Grimm2, Wolfgang Kusser2, Brian Lee3, Greg Bremer3, Alexis Bossie1 From 24th European Society for Animal Cell Technology (ESACT) Meeting: C2P2: Cells, Culture, Patients, Products Barcelona, Spain. 31 May - 3 June 2015 Background Chinese Hamster Ovary (CHO) derived cells are the most commonly used cell lines for the production of biopharmaceuticals. We developed a plug and play method to optimize the growth medium for a given CHO production cell line. The experiment consists of a Mixture Design of Experiments (DOE) approach using different basal media to select the optimized formulations for a specific CHO cell line. The package for media optimization consists of different base media together with the ambr15 high throughput bioreactor and integrated MODDE DoE software. Methods and results A suspension adapted CHO DG44 cell line expressing a monoclonal antibody was used for the experiments. Media mixes composed of differing concentrations of nutrients were used in a mixture DOE with 20 different media and 3 center points. All conditions were inoculated in the ambr at the same starting density of 2.0xE5 cells/mL. Dissolved oxygen, pH, and temperature control were maintained throughout the batch process. Each bioreactor was sampled for cell count and viability. Metabolites as well as IgG titers were measured. Peak Viable Cell Density (VCD), Doubling Time (DT), and IgG titer results were Figure 1 Contour plot (titer) and optimal mixes: DOE predictions of optimal media mix for titer and media formulations optimized for titer (red star) doubling time (green star) and VCD/Titer/doubling time weighed equally (yellow star) are shown. 1 Lonza Bioscience, Walkersville, MD, 21793, USA Full list of author information is available at the end of the article © 2015 Grimm et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http:// creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/ zero/1.0/) applies to the data made available in this article, unless otherwise stated. Grimm et al. BMC Proceedings 2015, 9(Suppl 9):P15 http://www.biomedcentral.com/1753-6561/9/S9/P15 Page 2 of 2 collected and modeled as responses using MODDE 10 design of experiments (DOE) software to evaluate the optimal media mixtures. Results are shown in Figure 1. Conclusions The ambr15 and MODDE software used here provided a path to obtain effective media formulations for a given specific CHO cell line. The approach consists of a comprehensive service containing four basal media to prepare the mixes and the ambr15. It is supported by an application specialist to guide the experiments and interpretation of results. Authors’ details 1 Lonza Bioscience, Walkersville, MD, 21793, USA. 2Sartorius Stedim France S. A.S., 13781 Aubagne, France. 3Sartorius Stedim North America Inc., Bohemia, NY 11716, USA. Published: 14 December 2015 doi:10.1186/1753-6561-9-S9-P15 Cite this article as: Grimm et al.: Media optimization for CHO fed-batch processes using a DoE approach in automated high-throughput single use ambr15 bioreactors. BMC Proceedings 2015 9(Suppl 9):P15. Submit your next manuscript to BioMed Central and take full advantage of: • Convenient online submission • Thorough peer review • No space constraints or color figure charges • Immediate publication on acceptance • Inclusion in PubMed, CAS, Scopus and Google Scholar • Research which is freely available for redistribution Submit your manuscript at www.biomedcentral.com/submit  (...truncated)