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Bauer N, Oberist C, Poth M, Stingele J, Popp O, Ausländer S. Genomic barcoding for clonal diversity monitoring and control in cell-based complex antibody production. Sci Rep 2024; 14:14587. [PMID: 38918509 PMCID: PMC11199663 DOI: 10.1038/s41598-024-65323-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 06/19/2024] [Indexed: 06/27/2024] Open
Abstract
Engineered mammalian cells are key for biotechnology by enabling broad applications ranging from in vitro model systems to therapeutic biofactories. Engineered cell lines exist as a population containing sub-lineages of cell clones that exhibit substantial genetic and phenotypic heterogeneity. There is still a limited understanding of the source of this inter-clonal heterogeneity as well as its implications for biotechnological applications. Here, we developed a genomic barcoding strategy for a targeted integration (TI)-based CHO antibody producer cell line development process. This technology provided novel insights about clone diversity during stable cell line selection on pool level, enabled an imaging-independent monoclonality assessment after single cell cloning, and eventually improved hit-picking of antibody producer clones by monitoring of cellular lineages during the cell line development (CLD) process. Specifically, we observed that CHO producer pools generated by TI of two plasmids at a single genomic site displayed a low diversity (< 0.1% RMCE efficiency), which further depends on the expressed molecules, and underwent rapid population skewing towards dominant clones during routine cultivation. Clonal cell lines from one individual TI event demonstrated a significantly lower variance regarding production-relevant and phenotypic parameters as compared to cell lines from distinct TI events. This implies that the observed cellular diversity lies within pre-existing cell-intrinsic factors and that the majority of clonal variation did not develop during the CLD process, especially during single cell cloning. Using cellular barcodes as a proxy for cellular diversity, we improved our CLD screening workflow and enriched diversity of production-relevant parameters substantially. This work, by enabling clonal diversity monitoring and control, paves the way for an economically valuable and data-driven CLD process.
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Affiliation(s)
- Niels Bauer
- Large Molecule Research, Roche Pharma Research and Early Development (pRED), Roche Innovation Center Munich, Penzberg, Germany
- Gene Center and Department of Biochemistry, Ludwig-Maximilians-Universität München, 81377, Munich, Germany
| | - Christoph Oberist
- Large Molecule Research, Roche Pharma Research and Early Development (pRED), Roche Innovation Center Munich, Penzberg, Germany
| | - Michaela Poth
- Large Molecule Research, Roche Pharma Research and Early Development (pRED), Roche Innovation Center Munich, Penzberg, Germany
| | - Julian Stingele
- Gene Center and Department of Biochemistry, Ludwig-Maximilians-Universität München, 81377, Munich, Germany
| | - Oliver Popp
- Large Molecule Research, Roche Pharma Research and Early Development (pRED), Roche Innovation Center Munich, Penzberg, Germany
| | - Simon Ausländer
- Large Molecule Research, Roche Pharma Research and Early Development (pRED), Roche Innovation Center Munich, Penzberg, Germany.
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Desmurget C, Perilleux A, Souquet J, Borth N, Douet J. Molecular biomarkers identification and applications in CHO bioprocessing. J Biotechnol 2024; 392:11-24. [PMID: 38852681 DOI: 10.1016/j.jbiotec.2024.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 05/23/2024] [Accepted: 06/04/2024] [Indexed: 06/11/2024]
Abstract
Biomarkers are valuable tools in clinical research where they allow to predict susceptibility to diseases, or response to specific treatments. Likewise, biomarkers can be extremely useful in the biomanufacturing of therapeutic proteins. Indeed, constraints such as short timelines and the need to find hyper-productive cells could benefit from a data-driven approach during cell line and process development. Many companies still rely on large screening capacities to develop productive cell lines, but as they reach a limit of production, there is a need to go from empirical to rationale procedures. Similarly, during bioprocessing runs, substrate consumption and metabolism wastes are commonly monitored. None of them possess the ability to predict the culture behavior in the bioreactor. Big data driven approaches are being adapted to the study of industrial mammalian cell lines, enabled by the publication of Chinese hamster and CHO genome assemblies which allowed the use of next-generation sequencing with these cells, as well as continuous proteome and metabolome annotation. However, if these different -omics technologies contributed to the characterization of CHO cells, there is a significant effort remaining to apply this knowledge to biomanufacturing methods. The correlation of a complex phenotype such as high productivity or rapid growth to the presence or expression level of a specific biomarker could save time and effort in the screening of manufacturing cell lines or culture conditions. In this review we will first discuss the different biological molecules that can be identified and quantified in cells, their detection techniques, and associated challenges. We will then review how these markers are used during the different steps of cell line and bioprocess development, and the inherent limitations of this strategy.
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Affiliation(s)
- Caroline Desmurget
- Merck Biotech Development Center, Ares Trading SA (an affiliate of Merck KGaA, Darmstadt, Germany), Fenil-sur-Corsier, Switzerland
| | - Arnaud Perilleux
- Merck Biotech Development Center, Ares Trading SA (an affiliate of Merck KGaA, Darmstadt, Germany), Fenil-sur-Corsier, Switzerland
| | - Jonathan Souquet
- Merck Biotech Development Center, Ares Trading SA (an affiliate of Merck KGaA, Darmstadt, Germany), Fenil-sur-Corsier, Switzerland
| | - Nicole Borth
- Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria
| | - Julien Douet
- Merck Biotech Development Center, Ares Trading SA (an affiliate of Merck KGaA, Darmstadt, Germany), Fenil-sur-Corsier, Switzerland.
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Geng SL, Zhao XJ, Zhang X, Zhang JH, Mi CL, Wang TY. Recombinant therapeutic proteins degradation and overcoming strategies in CHO cells. Appl Microbiol Biotechnol 2024; 108:182. [PMID: 38285115 PMCID: PMC10824870 DOI: 10.1007/s00253-024-13008-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/20/2023] [Accepted: 01/08/2024] [Indexed: 01/30/2024]
Abstract
Mammalian cell lines are frequently used as the preferred host cells for producing recombinant therapeutic proteins (RTPs) having post-translational modified modification similar to those observed in proteins produced by human cells. Nowadays, most RTPs approved for marketing are produced in Chinese hamster ovary (CHO) cells. Recombinant therapeutic antibodies are among the most important and promising RTPs for biomedical applications. One of the issues that occurs during development of RTPs is their degradation, which caused by a variety of factors and reducing quality of RTPs. RTP degradation is especially concerning as they could result in reduced biological functions (antibody-dependent cellular cytotoxicity and complement-dependent cytotoxicity) and generate potentially immunogenic species. Therefore, the mechanisms underlying RTP degradation and strategies for avoiding degradation have regained an interest from academia and industry. In this review, we outline recent progress in this field, with a focus on factors that cause degradation during RTP production and the development of strategies for overcoming RTP degradation. KEY POINTS: • The recombinant therapeutic protein degradation in CHO cell systems is reviewed. • Enzymatic factors and non-enzymatic methods influence recombinant therapeutic protein degradation. • Reducing the degradation can improve the quality of recombinant therapeutic proteins.
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Affiliation(s)
- Shao-Lei Geng
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang, 453003, Henan, China
- School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, 453003, Henan, China
- Henan Engineering Research Center for Biopharmaceutical Innovation, Xinxiang Medical University, Xinxiang, 453003, Henan, China
| | - Xiao-Jie Zhao
- School of Pharmacy, Xinxiang Medical University, Xinxiang, 453003, Henan, China
| | - Xi Zhang
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang, 453003, Henan, China
- School of Pharmacy, Xinxiang Medical University, Xinxiang, 453003, Henan, China
| | - Ji-Hong Zhang
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang, 453003, Henan, China
- School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, 453003, Henan, China
| | - Chun-Liu Mi
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang, 453003, Henan, China
- School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, 453003, Henan, China
- Henan Engineering Research Center for Biopharmaceutical Innovation, Xinxiang Medical University, Xinxiang, 453003, Henan, China
| | - Tian-Yun Wang
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang, 453003, Henan, China.
- School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, 453003, Henan, China.
- Henan Engineering Research Center for Biopharmaceutical Innovation, Xinxiang Medical University, Xinxiang, 453003, Henan, China.
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