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Development, characterization, and application of a 2‐Compartment system to investigate the impact of pH inhomogeneities in large‐scale CHO‐based processes

Large‐scale bioreactors for the production of monoclonal antibodies reach volumes of up to 25 000 L. With increasing bioreactor size, mixing is however affected negatively, resulting in the formation of gradients throughout the reactor. These gradients can adversely affect process performance at lar...

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Autores principales: Paul, Katrin, Böttinger, Katharina, Mitic, Bernd M., Scherfler, Georg, Posch, Christoph, Behrens, Dirk, Huber, Christian G., Herwig, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7401239/
https://www.ncbi.nlm.nih.gov/pubmed/32774209
http://dx.doi.org/10.1002/elsc.202000009
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author Paul, Katrin
Böttinger, Katharina
Mitic, Bernd M.
Scherfler, Georg
Posch, Christoph
Behrens, Dirk
Huber, Christian G.
Herwig, Christoph
author_facet Paul, Katrin
Böttinger, Katharina
Mitic, Bernd M.
Scherfler, Georg
Posch, Christoph
Behrens, Dirk
Huber, Christian G.
Herwig, Christoph
author_sort Paul, Katrin
collection PubMed
description Large‐scale bioreactors for the production of monoclonal antibodies reach volumes of up to 25 000 L. With increasing bioreactor size, mixing is however affected negatively, resulting in the formation of gradients throughout the reactor. These gradients can adversely affect process performance at large scale. Since mammalian cells are sensitive to changes in pH, this study investigated the effects of pH gradients on process performance. A 2‐Compartment System was established for this purpose to expose only a fraction of the cell population to pH excursions and thereby mimicking a large‐scale bioreactor. Cells were exposed to repeated pH amplitudes of 0.4 units (pH 7.3), which resulted in decreased viable cell counts, as well as the inhibition of the lactate metabolic shift. These effects were furthermore accompanied by increased absolute lactate levels. Continuous assessment of molecular attributes of the expressed target protein revealed that subunit assembly or N‐glycosylation patterns were only slightly influenced by the pH excursions. The exposure of more cells to the same pH amplitudes further impaired process performance, indicating this is an important factor, which influences the impact of pH inhomogeneity. This knowledge can aid in the design of pH control strategies to minimize the effects of pH inhomogeneity in large‐scale bioreactors.
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spelling pubmed-74012392020-08-06 Development, characterization, and application of a 2‐Compartment system to investigate the impact of pH inhomogeneities in large‐scale CHO‐based processes Paul, Katrin Böttinger, Katharina Mitic, Bernd M. Scherfler, Georg Posch, Christoph Behrens, Dirk Huber, Christian G. Herwig, Christoph Eng Life Sci Research Articles Large‐scale bioreactors for the production of monoclonal antibodies reach volumes of up to 25 000 L. With increasing bioreactor size, mixing is however affected negatively, resulting in the formation of gradients throughout the reactor. These gradients can adversely affect process performance at large scale. Since mammalian cells are sensitive to changes in pH, this study investigated the effects of pH gradients on process performance. A 2‐Compartment System was established for this purpose to expose only a fraction of the cell population to pH excursions and thereby mimicking a large‐scale bioreactor. Cells were exposed to repeated pH amplitudes of 0.4 units (pH 7.3), which resulted in decreased viable cell counts, as well as the inhibition of the lactate metabolic shift. These effects were furthermore accompanied by increased absolute lactate levels. Continuous assessment of molecular attributes of the expressed target protein revealed that subunit assembly or N‐glycosylation patterns were only slightly influenced by the pH excursions. The exposure of more cells to the same pH amplitudes further impaired process performance, indicating this is an important factor, which influences the impact of pH inhomogeneity. This knowledge can aid in the design of pH control strategies to minimize the effects of pH inhomogeneity in large‐scale bioreactors. John Wiley and Sons Inc. 2020-05-28 /pmc/articles/PMC7401239/ /pubmed/32774209 http://dx.doi.org/10.1002/elsc.202000009 Text en © 2020 The Authors. Engineering in Life Sciences published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Paul, Katrin
Böttinger, Katharina
Mitic, Bernd M.
Scherfler, Georg
Posch, Christoph
Behrens, Dirk
Huber, Christian G.
Herwig, Christoph
Development, characterization, and application of a 2‐Compartment system to investigate the impact of pH inhomogeneities in large‐scale CHO‐based processes
title Development, characterization, and application of a 2‐Compartment system to investigate the impact of pH inhomogeneities in large‐scale CHO‐based processes
title_full Development, characterization, and application of a 2‐Compartment system to investigate the impact of pH inhomogeneities in large‐scale CHO‐based processes
title_fullStr Development, characterization, and application of a 2‐Compartment system to investigate the impact of pH inhomogeneities in large‐scale CHO‐based processes
title_full_unstemmed Development, characterization, and application of a 2‐Compartment system to investigate the impact of pH inhomogeneities in large‐scale CHO‐based processes
title_short Development, characterization, and application of a 2‐Compartment system to investigate the impact of pH inhomogeneities in large‐scale CHO‐based processes
title_sort development, characterization, and application of a 2‐compartment system to investigate the impact of ph inhomogeneities in large‐scale cho‐based processes
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7401239/
https://www.ncbi.nlm.nih.gov/pubmed/32774209
http://dx.doi.org/10.1002/elsc.202000009
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