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Zhang J, Yang W, Zhang L, Li W, Zhang X, Wang X, Wang T. Novel and effective screening system for recombinant protein production in CHO cells. Sci Rep 2024; 14:20856. [PMID: 39242806 PMCID: PMC11379927 DOI: 10.1038/s41598-024-71915-0] [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: 05/01/2024] [Accepted: 09/02/2024] [Indexed: 09/09/2024] Open
Abstract
At present, biopharmaceuticals have received extensive attention from the society, among which recombinant proteins have a good growth trend and a large market share. Chinese hamster ovary (CHO) cells are the preferred mammalian system to produce glycosylated recombinant protein drugs. A highly efficient and stable cell screening method needs to be developed to obtain more and useful recombinant proteins. Limited dilution method, cell sorting, and semi-solid medium screening are currently the commonly used cell cloning methods. These methods are time-consuming and labor-intensive, and they have the disadvantage of low clone survival rate. Here, a method based on semi-solid medium was developed to screen out high-yielding and stable cell line within 3 weeks to improve the screening efficiency. The semi-solid medium was combined with an expression vector containing red fluorescent protein (RFP) for early cell line development. In accordance with the fluorescence intensity of RFP, the expression of upstream target gene could be indicated, and the fluorescence intensity was in direct proportion to the expression of upstream target gene. In conclusion, semi-solid medium combined with bicistronic expression vector provides an efficient method for screening stable and highly expressed cell lines.
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Affiliation(s)
- Junhe Zhang
- Institutes of Health Central Plains, Xinxiang Medical University, No. 601 Jinsui Road, Xinxiang, 453003, Henan Province, China.
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, No. 601 Jinsui Road, Xinxiang, 453003, Henan Province, China.
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, 453003, China.
| | - Wenwen Yang
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, No. 601 Jinsui Road, Xinxiang, 453003, Henan Province, China
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, 453003, China
| | - Liao Zhang
- Institutes of Health Central Plains, Xinxiang Medical University, No. 601 Jinsui Road, Xinxiang, 453003, Henan Province, China
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, No. 601 Jinsui Road, Xinxiang, 453003, Henan Province, China
| | - Wenqing Li
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, 453003, China
| | - Xi Zhang
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, No. 601 Jinsui Road, Xinxiang, 453003, Henan Province, China
| | - Xiaoyin Wang
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, No. 601 Jinsui Road, Xinxiang, 453003, Henan Province, China
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, 453003, China
| | - Tianyun Wang
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, No. 601 Jinsui Road, Xinxiang, 453003, Henan Province, China.
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, 453003, China.
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Guez JS, Lacroix PY, Château T, Vial C. Deep in situ microscopy for real-time analysis of mammalian cell populations in bioreactors. Sci Rep 2023; 13:22045. [PMID: 38086908 PMCID: PMC10716407 DOI: 10.1038/s41598-023-48733-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
An in situ microscope based on pulsed transmitted light illumination via optical fiber was combined to artificial-intelligence to enable for the first time an online cell classification according to well-known cellular morphological features. A 848 192-image database generated during a lab-scale production process of antibodies was processed using a convolutional neural network approach chosen for its accurate real-time object detection capabilities. In order to induce different cell death routes, hybridomas were grown in normal or suboptimal conditions in a stirred tank reactor, in the presence of substrate limitation, medium addition, pH regulation problem or oxygen depletion. Using such an optical system made it possible to monitor real-time the evolution of different classes of animal cells, among which viable, necrotic and apoptotic cells. A class of viable cells displaying bulges in feast or famine conditions was also revealed. Considered as a breakthrough in the catalogue of process analytical tools, in situ microscopy powered by artificial-intelligence is also of great interest for research.
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Affiliation(s)
- Jean-Sébastien Guez
- Université Clermont Auvergne, Clermont Auvergne INP, CNRS, Institut Pascal, 63 000, Clermont-Ferrand, France.
| | - Pierre-Yves Lacroix
- Université Clermont Auvergne, Clermont Auvergne INP, CNRS, Institut Pascal, 63 000, Clermont-Ferrand, France
- Logiroad.AI, 63 178, Aubière, France
| | - Thierry Château
- Université Clermont Auvergne, Clermont Auvergne INP, CNRS, Institut Pascal, 63 000, Clermont-Ferrand, France
- Logiroad.AI, 63 178, Aubière, France
| | - Christophe Vial
- Université Clermont Auvergne, Clermont Auvergne INP, CNRS, Institut Pascal, 63 000, Clermont-Ferrand, France
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3
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Liu D, Xuanyuan T, Liu X, Fu W, Liu W. Massive and efficient encapsulation of single cells in monodisperse droplets and collagen-alginate microgels using a microfluidic device. Front Bioeng Biotechnol 2023; 11:1281375. [PMID: 38033813 PMCID: PMC10684782 DOI: 10.3389/fbioe.2023.1281375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 10/30/2023] [Indexed: 12/02/2023] Open
Abstract
Single-cell manipulation is the key foundation of life exploration at individual cell resolution. Constructing easy-to-use, high-throughput, and biomimetic manipulative tools for efficient single-cell operation is quite necessary. In this study, a facile and efficient encapsulation of single cells relying on the massive and controllable production of droplets and collagen-alginate microgels using a microfluidic device is presented. High monodispersity and geometric homogeneity of both droplet and microgel generation were experimentally demonstrated based on the well-investigated microfluidic fabricating procedure. The reliability of the microfluidic platform for controllable, high-throughput, and improved single-cell encapsulation in monodisperse droplets and microgels was also confirmed. A single-cell encapsulation rate of up to 33.6% was achieved based on the established microfluidic operation. The introduction of stromal material in droplets/microgels for encapsulation provided single cells an in vivo simulated microenvironment. The single-cell operation achievement offers a methodological approach for developing simple and miniaturized devices to perform single-cell manipulation and analysis in a high-throughput and microenvironment-biomimetic manner. We believe that it holds great potential for applications in precision medicine, cell microengineering, drug discovery, and biosensing.
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Affiliation(s)
| | | | | | | | - Wenming Liu
- Departments of Biomedical Engineering and Pathology, School of Basic Medical Science, Central South University, Changsha, Hunan, China
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4
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Tutty MA, Holmes S, Prina-Mello A. Cancer Cell Culture: The Basics and Two-Dimensional Cultures. Methods Mol Biol 2023; 2645:3-40. [PMID: 37202610 DOI: 10.1007/978-1-0716-3056-3_1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Despite significant advances in investigative and therapeutic methodologies for cancer, 2D cell culture remains an essential and evolving competency in this fast-paced industry. From basic monolayer cultures and functional assays to more recent and ever-advancing cell-based cancer interventions, 2D cell culture plays a crucial role in cancer diagnosis, prognosis, and treatment. Research and development in this field call for a great deal of optimization, while the heterogenous nature of cancer itself demands personalized precision for its intervention. In this way, 2D cell culture is ideal, providing a highly adaptive and responsive platform, where skills can be honed and techniques modified. Furthermore, it is arguably the most efficient, economical, and sustainable methodology available to researchers and clinicians alike.In this chapter, we discuss the history of cell culture and the varying types of cell and cell lines used today, the techniques used to characterize and authenticate them, the applications of 2D cell culture in cancer diagnosis and prognosis, and more recent developments in the area of cell-based cancer interventions and vaccines.
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Affiliation(s)
- Melissa Anne Tutty
- Laboratory of Biological Characterization of Advanced Materials (LBCAM), Trinity Translational Medicine Institute, Trinity College, Dublin, Ireland
| | - Sarah Holmes
- Laboratory of Biological Characterization of Advanced Materials (LBCAM), Trinity Translational Medicine Institute, Trinity College, Dublin, Ireland.
| | - Adriele Prina-Mello
- Laboratory of Biological Characterization of Advanced Materials (LBCAM), Trinity Translational Medicine Institute, Trinity College, Dublin, Ireland
- Nanomedicine and Molecular Imaging Group, Trinity Translational Medicine Institute (TTMI), School of Medicine, Trinity College Dublin, Dublin, Ireland
- Trinity St. James's Cancer Institute, St. James's Hospital, Trinity College Dublin, Dublin, Ireland
- Advanced Materials and Bioengineering Research (AMBER) Centre, CRANN Institute, Trinity College Dublin, Dublin, Ireland
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5
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Yang W, Zhang J, Xiao Y, Li W, Wang T. Screening Strategies for High-Yield Chinese Hamster Ovary Cell Clones. Front Bioeng Biotechnol 2022; 10:858478. [PMID: 35782513 PMCID: PMC9247297 DOI: 10.3389/fbioe.2022.858478] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 05/23/2022] [Indexed: 12/20/2022] Open
Abstract
Chinese hamster ovary (CHO) cells are by far the most commonly used mammalian expression system for recombinant expression of therapeutic proteins in the pharmaceutical industry. The development of high-yield stable cell lines requires processes of transfection, selection, screening and adaptation, among which the screening process requires tremendous time and determines the level of forming highly productive monoclonal cell lines. Therefore, how to achieve productive cell lines is a major question prior to industrial manufacturing. Cell line development (CLD) is one of the most critical steps in the production of recombinant therapeutic proteins. Generation of high-yield cell clones is mainly based on the time-consuming, laborious process of selection and screening. With the increase in recombinant therapeutic proteins expressed by CHO cells, CLD has become a major bottleneck in obtaining cell lines for manufacturing. The basic principles for CLD include preliminary screening for high-yield cell pool, single-cell isolation and improvement of productivity, clonality and stability. With the development of modern analysis and testing technologies, various screening methods have been used for CLD to enhance the selection efficiency of high-yield clonal cells. This review provides a comprehensive overview on preliminary screening methods for high-yield cell pool based on drug selective pressure. Moreover, we focus on high throughput methods for isolating high-yield cell clones and increasing the productivity and stability, as well as new screening strategies used for the biopharmaceutical industry.
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Affiliation(s)
- Wenwen Yang
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, China
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang, China
| | - Junhe Zhang
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, China
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang, China
- Institutes of Health Central Plains, Xinxiang Medical University, Xinxiang, China
- *Correspondence: Tianyun Wang, ; Junhe Zhang,
| | - Yunxi Xiao
- Institutes of Health Central Plains, Xinxiang Medical University, Xinxiang, China
| | - Wenqing Li
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, China
| | - Tianyun Wang
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, China
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang, China
- *Correspondence: Tianyun Wang, ; Junhe Zhang,
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6
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Christopher JA, Geladaki A, Dawson CS, Vennard OL, Lilley KS. Subcellular Transcriptomics and Proteomics: A Comparative Methods Review. Mol Cell Proteomics 2022; 21:100186. [PMID: 34922010 PMCID: PMC8864473 DOI: 10.1016/j.mcpro.2021.100186] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 11/16/2021] [Accepted: 12/13/2021] [Indexed: 12/23/2022] Open
Abstract
The internal environment of cells is molecularly crowded, which requires spatial organization via subcellular compartmentalization. These compartments harbor specific conditions for molecules to perform their biological functions, such as coordination of the cell cycle, cell survival, and growth. This compartmentalization is also not static, with molecules trafficking between these subcellular neighborhoods to carry out their functions. For example, some biomolecules are multifunctional, requiring an environment with differing conditions or interacting partners, and others traffic to export such molecules. Aberrant localization of proteins or RNA species has been linked to many pathological conditions, such as neurological, cancer, and pulmonary diseases. Differential expression studies in transcriptomics and proteomics are relatively common, but the majority have overlooked the importance of subcellular information. In addition, subcellular transcriptomics and proteomics data do not always colocate because of the biochemical processes that occur during and after translation, highlighting the complementary nature of these fields. In this review, we discuss and directly compare the current methods in spatial proteomics and transcriptomics, which include sequencing- and imaging-based strategies, to give the reader an overview of the current tools available. We also discuss current limitations of these strategies as well as future developments in the field of spatial -omics.
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Affiliation(s)
- Josie A Christopher
- Department of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Cambridge, UK; Milner Therapeutics Institute, Jeffrey Cheah Biomedical Centre, Cambridge, UK
| | - Aikaterini Geladaki
- Department of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Cambridge, UK; Department of Genetics, University of Cambridge, Cambridge, UK
| | - Charlotte S Dawson
- Department of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Cambridge, UK; Milner Therapeutics Institute, Jeffrey Cheah Biomedical Centre, Cambridge, UK
| | - Owen L Vennard
- Department of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Cambridge, UK; Milner Therapeutics Institute, Jeffrey Cheah Biomedical Centre, Cambridge, UK
| | - Kathryn S Lilley
- Department of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Cambridge, UK; Milner Therapeutics Institute, Jeffrey Cheah Biomedical Centre, Cambridge, UK.
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7
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Tihanyi B, Nyitray L. Recent advances in CHO cell line development for recombinant protein production. DRUG DISCOVERY TODAY. TECHNOLOGIES 2021; 38:25-34. [PMID: 34895638 DOI: 10.1016/j.ddtec.2021.02.003] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 02/02/2021] [Accepted: 02/23/2021] [Indexed: 12/20/2022]
Abstract
Recombinant proteins used in biomedical research, diagnostics and different therapies are mostly produced in Chinese hamster ovary cells in the pharmaceutical industry. These biotherapeutics, monoclonal antibodies in particular, have shown remarkable market growth in the past few decades. The increasing demand for high amounts of biologics requires continuous optimization and improvement of production technologies. Research aims at discovering better means and methods for reaching higher volumetric capacity, while maintaining stable product quality. An increasing number of complex novel protein therapeutics, such as viral antigens, vaccines, bi- and tri-specific monoclonal antibodies, are currently entering industrial production pipelines. These biomolecules are, in many cases, difficult to express and require tailored product-specific solutions to improve their transient or stable production. All these requirements boost the development of more efficient expression optimization systems and high-throughput screening platforms to facilitate the design of product-specific cell line engineering and production strategies. In this minireview, we provide an overview on recent advances in CHO cell line development, targeted genome manipulation techniques, selection systems and screening methods currently used in recombinant protein production.
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Affiliation(s)
- Borbála Tihanyi
- Department of Biochemistry, Eötvös Loránd University, Pázmány Péter stny 1/C, 1117 Budapest, Hungary
| | - László Nyitray
- Department of Biochemistry, Eötvös Loránd University, Pázmány Péter stny 1/C, 1117 Budapest, Hungary.
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8
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Hussain H, Patel T, Ozanne AMS, Vito D, Ellis M, Hinchliffe M, Humphreys DP, Stephens PE, Sweeney B, White J, Dickson AJ, Smales CM. A comparative analysis of recombinant Fab and full-length antibody production in Chinese hamster ovary cells. Biotechnol Bioeng 2021; 118:4815-4828. [PMID: 34585737 DOI: 10.1002/bit.27944] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 08/31/2021] [Accepted: 09/12/2021] [Indexed: 01/05/2023]
Abstract
Monoclonal antibodies are the leading class of biopharmaceuticals in terms of numbers approved for therapeutic purposes. Antigen-binding fragments (Fab) are also used as biotherapeutics and used widely in research applications. The dominant expression systems for full-length antibodies are mammalian cell-based, whereas for Fab molecules the preference has been an expression in bacterial systems. However, advances in CHO and downstream technologies make mammalian systems an equally viable option for small- and large-scale Fab production. Using a panel of full-length IgG antibodies and their corresponding Fab pair with different antigen specificities, we investigated the impact of the IgG and Fab molecule format on production from Chinese hamster ovary (CHO) cells and assessed the cellular capability to process and produce these formats. The full-length antibody format resulted in the recovery of fewer mini-pools posttransfection when compared to the corresponding Fab fragment format that could be interpreted as indicative of a greater overall burden on cells. Antibody-producing cell pools that did recover were subsequently able to achieve higher volumetric protein yields (mg/L) and specific productivity than the corresponding Fab pools. Importantly, when the actual molecules produced per cell of a given format was considered (as opposed to mass), CHO cells produced a greater number of Fab molecules per cell than obtained with the corresponding IgG, suggesting that cells were more efficient at making the smaller Fab molecule. Analysis of cell pools showed that gene copy number was not correlated to the subsequent protein production. The amount of mRNA correlated with secreted Fab production but not IgG, whereby posttranscriptional processes act to limit antibody production. In summary, we provide the first comparative description of how full-length IgG and Fab antibody formats impact on the outcomes of a cell line construction process and identify potential limitations in their production that could be targeted for engineering increases in the efficiency in the manufacture of these recombinant antibody formats.
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Affiliation(s)
- Hirra Hussain
- Faculty of Science and Engineering, Department of Chemical Engineering and Analytical Sciences, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK.,CPI, Central Park, Darlington, UK
| | - Tulshi Patel
- Division of Natural Sciences, Industrial Biotechnology Centre and School of Biosciences, University of Kent, Canterbury, UK.,Horizon Discovery Biosciences Limited, Cambridge, UK
| | - Angelica M S Ozanne
- Division of Natural Sciences, Industrial Biotechnology Centre and School of Biosciences, University of Kent, Canterbury, UK
| | - Davide Vito
- Division of Natural Sciences, Industrial Biotechnology Centre and School of Biosciences, University of Kent, Canterbury, UK.,Mestag Therapeutics Limited, Cambridge, UK
| | - Mark Ellis
- Protein Sciences, UCB Pharma, Berkshire, UK
| | | | | | | | - Bernie Sweeney
- Protein Sciences, UCB Pharma, Berkshire, UK.,Lonza Biologics, Berkshire, UK
| | | | - Alan J Dickson
- Faculty of Science and Engineering, Department of Chemical Engineering and Analytical Sciences, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK
| | - Christopher M Smales
- Division of Natural Sciences, Industrial Biotechnology Centre and School of Biosciences, University of Kent, Canterbury, UK.,National Institute for Bioprocessing Research and Training, Co Dublin, Ireland
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9
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Ji X, Lee YJ, Eyster T, Parrillo A, Galosy S, Ao Z, Patel P, Zhu Y. Characterization of cell cycle and apoptosis in Chinese hamster ovary cell culture using flow cytometry for bioprocess monitoring. Biotechnol Prog 2021; 38:e3211. [PMID: 34549552 DOI: 10.1002/btpr.3211] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 09/02/2021] [Accepted: 09/12/2021] [Indexed: 11/09/2022]
Abstract
Chinese hamster ovary (CHO) cells are by far the most important mammalian cell lines used for producing antibodies and other therapeutic proteins. It is critical to fully understand their physiological conditions during a bioprocess in order to achieve the highest productivity and the desired product quality. Flow cytometry technology possesses unique advantages for measuring multiple cellular attributes for a given cell and examining changes in cell culture heterogeneity over time that can be used as metrics for enhanced process understanding and control strategy. Flow cytometry-based assays were utilized to examine the progression of cell cycle and apoptosis in three case studies using different antibody-producing CHO cell lines in both fed-batch and perfusion bioprocesses. In our case studies, we found that G0/G1 phase distribution and early apoptosis accumulation responded to subtle changes in culture conditions, such as pH shifting or momentary glucose depletion. In a perfusion process, flow cytometry provided an insightful understanding of the cell physiological status under a hypothermic condition. More importantly, these changes in cell cycle and apoptosis were not detected by a routine trypan blue exclusion-based cell counting and viability measurement. In summary, integration of flow cytometry into bioprocesses as a process analytical technology tool can be beneficial for establishing optimum process conditions and process control.
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Affiliation(s)
- Xiaodan Ji
- Biopharm Process Development, GlaxoSmithKline, Philadelphia, Pennsylvania, USA
| | - Young Je Lee
- Biopharm Process Development, GlaxoSmithKline, Philadelphia, Pennsylvania, USA
| | - Tom Eyster
- Biopharm Process Development, GlaxoSmithKline, Philadelphia, Pennsylvania, USA
| | - Alexis Parrillo
- Biopharm Process Development, GlaxoSmithKline, Philadelphia, Pennsylvania, USA
| | - Sybille Galosy
- Biopharm Process Development, GlaxoSmithKline, Philadelphia, Pennsylvania, USA
| | - Zhaohui Ao
- Biopharm Process Development, GlaxoSmithKline, Philadelphia, Pennsylvania, USA
| | - Pramthesh Patel
- Biopharm Process Development, GlaxoSmithKline, Philadelphia, Pennsylvania, USA
| | - Yuan Zhu
- Biopharm Process Development, GlaxoSmithKline, Philadelphia, Pennsylvania, USA
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10
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A proline metabolism selection system and its application to the engineering of lipid biosynthesis in Chinese hamster ovary cells. Metab Eng Commun 2021; 13:e00179. [PMID: 34386349 PMCID: PMC8346673 DOI: 10.1016/j.mec.2021.e00179] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 07/07/2021] [Accepted: 07/23/2021] [Indexed: 01/25/2023] Open
Abstract
Chinese hamster ovary (CHO) cells are the leading mammalian cell host employed to produce complex secreted recombinant biotherapeutics such as monoclonal antibodies (mAbs). Metabolic selection marker technologies (e.g. glutamine synthetase (GS) or dihydrofolate reductase (DHFR)) are routinely employed to generate such recombinant mammalian cell lines. Here we describe the development of a selection marker system based on the metabolic requirement of CHO cells to produce proline, and that uses pyrroline-5-carboxylase synthetase (P5CS) to complement this auxotrophy. Firstly, we showed the system can be used to generate cells that have growth kinetics in proline-free medium similar to those of the parent CHO cell line, CHOK1SV GS-KO™ grown in proline-containing medium. As we have previously described how engineering lipid metabolism can be harnessed to enhance recombinant protein productivity in CHO cells, we then used the P5CS selection system to re-engineer lipid metabolism by over-expression of either sterol regulatory element binding protein 1 (SREBF1) or stearoyl CoA desaturase 1 (SCD1). The cells with re-engineered proline and lipid metabolism showed consistent growth and P5CS, SCD1 and SREBF1 expression across 100 cell generations. Finally, we show that the P5CS and GS selection systems can be used together. A GS vector containing the light and heavy chains for a mAb was super-transfected into a CHOK1SV GS-KO™ host over-expressing SCD1 from a P5CS vector. The resulting stable transfectant pools achieved a higher concentration at harvest for a model difficult to express mAb than the CHOK1SV GS-KO™ host. This demonstrates that the P5CS and GS selection systems can be used concomitantly to enable CHO cell line genetic engineering and recombinant protein expression. We have engineered a proline P5CS metabolism selection system in CHO cells P5CS proline selection was used to engineer lipid metabolism in CHO cells P5CS selection was stable for at least 100 generations P5CS and GS selection systems were used together to engineer lipid and mAb expression Lipid metabolism P5CS engineered CHO cells give enhanced recombinant protein expression
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11
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Zhang X, Wei X, Wei Y, Chen M, Wang J. The up-to-date strategies for the isolation and manipulation of single cells. Talanta 2020; 218:121147. [PMID: 32797903 DOI: 10.1016/j.talanta.2020.121147] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 05/07/2020] [Accepted: 05/08/2020] [Indexed: 02/06/2023]
Abstract
Due to the large cellular heterogeneity, the strategies for the isolation and manipulation of single cells have been pronounced indispensable in the fields of disease diagnostics, drug delivery, and cancer biology at the single-cell resolution. Herein, an overview of the up-to-date techniques for precise manipulation/separation and analysis of single-cell is accomplished, these include the various approaches for the isolation and detection of individual cells in flow cytometry, microfluidic systems, micromodule systems, and others. In addition, the advanced application of these protocols is discussed. In particular, a few designs are highlighted for visualization, non-invasion, and intelligentization in single cell analysis, i.e., imaging flow cytometry, label-free microfluidic platform, single-cell capillary probe, and other related techniques. At the present, the main barriers in the various schemes for single cell manipulation which limited their practical applications are their cumbersome construction and single-functionality. The future opportunities and outstanding challenges in the isolation/manipulation of single cells are depicted.
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Affiliation(s)
- Xuan Zhang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang, Liaoning, 110819, China
| | - Xing Wei
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang, Liaoning, 110819, China
| | - Yujia Wei
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang, Liaoning, 110819, China
| | - Mingli Chen
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang, Liaoning, 110819, China; Analytical and Testing Center, Northeastern University, Shenyang, Liaoning, 110819, China.
| | - Jianhua Wang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang, Liaoning, 110819, China.
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