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Modeling apoptosis resistance in CHO cells with CRISPR‐mediated knockouts of Bak1, Bax, and Bok
Chinese hamster ovary (CHO) cells are the primary platform for the production of biopharmaceuticals. To increase yields, many CHO cell lines have been genetically engineered to resist cell death. However, the kinetics that governs cell fate in bioreactors are confounded by many variables associated...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310834/ https://www.ncbi.nlm.nih.gov/pubmed/35180317 http://dx.doi.org/10.1002/bit.28062 |
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author | MacDonald, Michael A. Barry, Craig Groves, Teddy Martínez, Verónica S. Gray, Peter P. Baker, Kym Shave, Evan Mahler, Stephen Munro, Trent Marcellin, Esteban Nielsen, Lars K. |
author_facet | MacDonald, Michael A. Barry, Craig Groves, Teddy Martínez, Verónica S. Gray, Peter P. Baker, Kym Shave, Evan Mahler, Stephen Munro, Trent Marcellin, Esteban Nielsen, Lars K. |
author_sort | MacDonald, Michael A. |
collection | PubMed |
description | Chinese hamster ovary (CHO) cells are the primary platform for the production of biopharmaceuticals. To increase yields, many CHO cell lines have been genetically engineered to resist cell death. However, the kinetics that governs cell fate in bioreactors are confounded by many variables associated with batch processes. Here, we used CRISPR‐Cas9 to create combinatorial knockouts of the three known BCL‐2 family effector proteins: Bak1, Bax, and Bok. To assess the response to apoptotic stimuli, cell lines were cultured in the presence of four cytotoxic compounds with different mechanisms of action. A population‐based model was developed to describe the behavior of the resulting viable cell dynamics as a function of genotype and treatment. Our results validated the synergistic antiapoptotic nature of Bak1 and Bax, while the deletion of Bok had no significant impact. Importantly, the uniform application of apoptotic stresses permitted direct observation and quantification of a delay in the onset of cell death through Bayesian inference of meaningful model parameters. In addition to the classical death rate, a delay function was found to be essential in the accurate modeling of the cell death response. These findings represent an important bridge between cell line engineering strategies and biological modeling in a bioprocess context. |
format | Online Article Text |
id | pubmed-9310834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93108342022-07-29 Modeling apoptosis resistance in CHO cells with CRISPR‐mediated knockouts of Bak1, Bax, and Bok MacDonald, Michael A. Barry, Craig Groves, Teddy Martínez, Verónica S. Gray, Peter P. Baker, Kym Shave, Evan Mahler, Stephen Munro, Trent Marcellin, Esteban Nielsen, Lars K. Biotechnol Bioeng ARTICLES Chinese hamster ovary (CHO) cells are the primary platform for the production of biopharmaceuticals. To increase yields, many CHO cell lines have been genetically engineered to resist cell death. However, the kinetics that governs cell fate in bioreactors are confounded by many variables associated with batch processes. Here, we used CRISPR‐Cas9 to create combinatorial knockouts of the three known BCL‐2 family effector proteins: Bak1, Bax, and Bok. To assess the response to apoptotic stimuli, cell lines were cultured in the presence of four cytotoxic compounds with different mechanisms of action. A population‐based model was developed to describe the behavior of the resulting viable cell dynamics as a function of genotype and treatment. Our results validated the synergistic antiapoptotic nature of Bak1 and Bax, while the deletion of Bok had no significant impact. Importantly, the uniform application of apoptotic stresses permitted direct observation and quantification of a delay in the onset of cell death through Bayesian inference of meaningful model parameters. In addition to the classical death rate, a delay function was found to be essential in the accurate modeling of the cell death response. These findings represent an important bridge between cell line engineering strategies and biological modeling in a bioprocess context. John Wiley and Sons Inc. 2022-03-06 2022-06 /pmc/articles/PMC9310834/ /pubmed/35180317 http://dx.doi.org/10.1002/bit.28062 Text en © 2022 The Authors. Biotechnology and Bioengineering published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | ARTICLES MacDonald, Michael A. Barry, Craig Groves, Teddy Martínez, Verónica S. Gray, Peter P. Baker, Kym Shave, Evan Mahler, Stephen Munro, Trent Marcellin, Esteban Nielsen, Lars K. Modeling apoptosis resistance in CHO cells with CRISPR‐mediated knockouts of Bak1, Bax, and Bok |
title | Modeling apoptosis resistance in CHO cells with CRISPR‐mediated knockouts of Bak1, Bax, and Bok |
title_full | Modeling apoptosis resistance in CHO cells with CRISPR‐mediated knockouts of Bak1, Bax, and Bok |
title_fullStr | Modeling apoptosis resistance in CHO cells with CRISPR‐mediated knockouts of Bak1, Bax, and Bok |
title_full_unstemmed | Modeling apoptosis resistance in CHO cells with CRISPR‐mediated knockouts of Bak1, Bax, and Bok |
title_short | Modeling apoptosis resistance in CHO cells with CRISPR‐mediated knockouts of Bak1, Bax, and Bok |
title_sort | modeling apoptosis resistance in cho cells with crispr‐mediated knockouts of bak1, bax, and bok |
topic | ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9310834/ https://www.ncbi.nlm.nih.gov/pubmed/35180317 http://dx.doi.org/10.1002/bit.28062 |
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