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Lakshmanan M, Chia S, Pang KT, Sim LC, Teo G, Mak SY, Chen S, Lim HL, Lee AP, Bin Mahfut F, Ng SK, Yang Y, Soh A, Tan AHM, Choo A, Ho YS, Nguyen-Khuong T, Walsh I. Antibody glycan quality predicted from CHO cell culture media markers and machine learning. Comput Struct Biotechnol J 2024; 23:2497-2506. [PMID: 38966680 PMCID: PMC11222931 DOI: 10.1016/j.csbj.2024.05.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 05/22/2024] [Accepted: 05/28/2024] [Indexed: 07/06/2024] Open
Abstract
N-glycosylation can have a profound effect on the quality of mAb therapeutics. In biomanufacturing, one of the ways to influence N-glycosylation patterns is by altering the media used to grow mAb cell expression systems. Here, we explore the potential of machine learning (ML) to forecast the abundances of N-glycan types based on variables related to the growth media. The ML models exploit a dataset consisting of detailed glycomic characterisation of Anti-HER fed-batch bioreactor cell cultures measured daily under 12 different culture conditions, such as changes in levels of dissolved oxygen, pH, temperature, and the use of two different commercially available media. By performing spent media quantitation and subsequent calculation of pseudo cell consumption rates (termed media markers) as inputs to the ML model, we were able to demonstrate a small subset of media markers (18 selected out of 167 mass spectrometry peaks) in a Chinese Hamster Ovary (CHO) cell cultures are important to model N-glycan relative abundances (Regression - correlations between 0.80-0.92; Classification - AUC between 75.0-97.2). The performances suggest the ML models can infer N-glycan critical quality attributes from extracellular media as a proxy. Given its accuracy, we envisage its potential applications in biomaufactucuring, especially in areas of process development, downstream and upstream bioprocessing.
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Affiliation(s)
- Meiyappan Lakshmanan
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
- Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, India
- Centre for Integrative Biology and Systems medicinE (IBSE), Indian Institute of Technology Madras, India
- Robert Bosch Centre for Data Science and AI (RBCDSAI), Indian Institute of Technology Madras, India
| | - Sean Chia
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Kuin Tian Pang
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Lyn Chiin Sim
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Gavin Teo
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Shi Ya Mak
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Shuwen Chen
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Hsueh Lee Lim
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Alison P. Lee
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Farouq Bin Mahfut
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Say Kong Ng
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Yuansheng Yang
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Annie Soh
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Andy Hee-Meng Tan
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Andre Choo
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Ying Swan Ho
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Terry Nguyen-Khuong
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
| | - Ian Walsh
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A⁎STAR), 20 Biopolis Way, #06–01 Centros, Singapore 138668, Republic of Singapore
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Singh R, Fatima E, Thakur L, Singh S, Ratan C, Kumar N. Advancements in CHO metabolomics: techniques, current state and evolving methodologies. Front Bioeng Biotechnol 2024; 12:1347138. [PMID: 38600943 PMCID: PMC11004234 DOI: 10.3389/fbioe.2024.1347138] [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: 11/30/2023] [Accepted: 02/28/2024] [Indexed: 04/12/2024] Open
Abstract
Background: Investigating the metabolic behaviour of different cellular phenotypes, i.e., good/bad grower and/or producer, in production culture is important to identify the key metabolite(s)/pathway(s) that regulate cell growth and/or recombinant protein production to improve the overall yield. Currently, LC-MS, GC-MS and NMR are the most used and advanced technologies for investigating the metabolome. Although contributed significantly in the domain, each technique has its own biasness towards specific metabolites or class of metabolites due to various reasons including variability in the concept of working, sample preparation, metabolite-extraction methods, metabolite identification tools, and databases. As a result, the application of appropriate analytical technique(s) is very critical. Purpose and scope: This review provides a state-of-the-art technological insights and overview of metabolic mechanisms involved in regulation of cell growth and/or recombinant protein production for improving yield from CHO cultures. Summary and conclusion: In this review, the advancements in CHO metabolomics over the last 10 years are traced based on a bibliometric analysis of previous publications and discussed. With the technical advancement in the domain of LC-MS, GC-MS and NMR, metabolites of glycolytic and nucleotide biosynthesis pathway (glucose, fructose, pyruvate and phenylalanine, threonine, tryptophan, arginine, valine, asparagine, and serine, etc.) were observed to be upregulated in exponential-phase thereby potentially associated with cell growth regulation, whereas metabolites/intermediates of TCA, oxidative phosphorylation (aspartate, glutamate, succinate, malate, fumarate and citrate), intracellular NAD+/NADH ratio, and glutathione metabolic pathways were observed to be upregulated in stationary-phase and hence potentially associated with increased cell-specific productivity in CHO bioprocess. Moreover, each of technique has its own bias towards metabolite identification, indicating their complementarity, along with a number of critical gaps in the CHO metabolomics pipeline and hence first time discussed here to identify their potential remedies. This knowledge may help in future study designs to improve the metabolomic coverage facilitating identification of the metabolites/pathways which might get missed otherwise and explore the full potential of metabolomics for improving the CHO bioprocess performances.
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Affiliation(s)
- Rita Singh
- Translational Health Science and Technology Institute, Faridabad, India
- Jawaharlal Nehru University, New Delhi, India
| | - Eram Fatima
- Translational Health Science and Technology Institute, Faridabad, India
- Jawaharlal Nehru University, New Delhi, India
| | - Lovnish Thakur
- Translational Health Science and Technology Institute, Faridabad, India
- Jawaharlal Nehru University, New Delhi, India
| | - Sevaram Singh
- Translational Health Science and Technology Institute, Faridabad, India
- Jawaharlal Nehru University, New Delhi, India
| | - Chandra Ratan
- Translational Health Science and Technology Institute, Faridabad, India
- Jawaharlal Nehru University, New Delhi, India
| | - Niraj Kumar
- Translational Health Science and Technology Institute, Faridabad, India
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3
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Liang G, Madhavarao CN, Morris C, O'Connor T, Ashraf M, Yoon S. Effects of process intensification on homogeneity of an IgG1:κ monoclonal antibody during perfusion culture. Appl Microbiol Biotechnol 2024; 108:274. [PMID: 38530495 DOI: 10.1007/s00253-024-13110-9] [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: 11/12/2023] [Revised: 03/01/2024] [Accepted: 03/13/2024] [Indexed: 03/28/2024]
Abstract
The pharmaceutical industry employs various strategies to improve cell productivity. These strategies include process intensification, culture media improvement, clonal selection, media supplementation and genetic engineering of cells. However, improved cell productivity has inherent risk of impacting product quality attributes (PQA). PQAs may affect the products' efficacy via stability, bioavailability, or in vivo bioactivity. Variations in manufacturing process may introduce heterogeneity in the products by altering the type and extent of N-glycosylation, which is a PQA of therapeutic proteins. We investigated the effect of different cell densities representing increasing process intensification in a perfusion cell culture on the production of an IgG1-κ monoclonal antibody from a CHO-K1 cell line. This antibody is glycosylated both on light chain and heavy chain. Our results showed that the contents of glycosylation of IgG1-κ mAb increased in G0F and fucosylated type glycans as a group, whereas sialylated type glycans decreased, for the mAb whole protein. Overall, significant differences were observed in amounts of G0F, G1F, G0, G2FS1, and G2FS2 type glycans across all process intensification levels. G2FS2 and G2 type N-glycans were predominantly quantifiable from light chain rather than heavy chain. It may be concluded that there is a potential impact to product quality attributes of therapeutic proteins during process intensification via perfusion cell culture that needs to be assessed. Since during perfusion cell culture the product is collected throughout the duration of the process, lot allocation needs careful attention to process parameters, as PQAs are affected by the critical process parameters (CPPs). KEY POINTS: • Molecular integrity may suffer with increasing process intensity. • Galactosylated and sialylated N-glycans may decrease. • Perfusion culture appears to maintain protein charge structure.
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Affiliation(s)
- George Liang
- Division of Product Quality Research, OTR/OPQ, CDER/FDA, Silver Spring, MD, USA
- Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, USA
| | | | - Caitlin Morris
- Division of Product Quality Research, OTR/OPQ, CDER/FDA, Silver Spring, MD, USA
- Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, USA
| | - Thomas O'Connor
- Division of Product Quality Research, OTR/OPQ, CDER/FDA, Silver Spring, MD, USA
| | - Muhammad Ashraf
- Division of Product Quality Research, OTR/OPQ, CDER/FDA, Silver Spring, MD, USA
| | - Seongkyu Yoon
- Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA, USA
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4
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Marienberg H, Desch N, Mozin V, Sykora‐Mirle L, Müller A, Roth A, Käfer M, Neef R. Automized inline monitoring in perfused mammalian cell culture by MIR spectroscopy without calibration model building. Eng Life Sci 2024; 24:e2300237. [PMID: 38444619 PMCID: PMC10910268 DOI: 10.1002/elsc.202300237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 11/10/2023] [Accepted: 11/17/2023] [Indexed: 03/07/2024] Open
Abstract
Process Analytical Technologies (PATs) are taking a key role in the run for automatization in the biopharmaceutical industry. Spectroscopic methods such as Raman spectroscopy or mid-infrared (MIR) spectroscopy are getting more recognition in the recent years for inline monitoring of bioprocesses due to their ability to measure various molecules simultaneously. However, their dependency on laborious model calibration making them a challenge to implement. In this study, a novel one-point calibration that requires a single reference point prior to the inline monitoring of glucose and lactate in bioprocesses with MIR spectroscopy is assessed with 22 mammalian cell perfusion (PER) processes in two different scales and four different products. Concentrations are predicted over all PERs runs with a root mean square error (RMSE) of 0.29 g/L for glucose and 0.24 g/L for lactate, respectively. For comparison conventional partial least square regression (PLSR) models were used and trained with spectroscopic data from six bioreactor runs in two different scales and three products. The general accuracy of those models (RMSE of 0.41 g/L for glucose and 0.16 g/L for lactate) are in the range of the accuracy of the one-point calibration. This shows the potential of the one-point calibration as an approach making spectroscopy more accessible for bioprocess development.
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Affiliation(s)
| | | | | | | | | | - Andreas Roth
- IRUBIS GmbHMunichGermany
- Hochschule MannheimMannheimGermany
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5
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Zheng YY, Hu ZN, Zhou GH. A review: analysis of technical challenges in cultured meat production and its commercialization. Crit Rev Food Sci Nutr 2024:1-18. [PMID: 38384235 DOI: 10.1080/10408398.2024.2315447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
The cultured meat technology has developed rapidly in recent years, but there are still many technical challenges that hinder the large-scale production and commercialization of cultured meat. Firstly, it is necessary to lay the foundation for cultured meat production by obtaining seed cells and maintaining stable cell functions. Next, technologies such as bioreactors are used to expand the scale of cell culture, and three-dimensional culture technologies such as scaffold culture or 3D printing are used to construct the three-dimensional structure of cultured meat. At the same time, it can reduce production costs by developing serum-free medium suitable for cultured meat. Finally, the edible quality of cultured meat is improved by evaluating food safety and sensory flavor, and combining ethical and consumer acceptability issues. Therefore, this review fully demonstrates the current development status and existing technical challenges of the cultured meat production technology with regard to the key points described above, in order to provide research ideas for the industrial production of cultured meat.
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Affiliation(s)
- Yan-Yan Zheng
- College of Food Science and Technology, Nanjing Agricultural University, National Center of Meat Quality and Safety Nanjing, MOST, Key Laboratory of Meat Processing and Quality Control, MOE, Key Laboratory of Meat Processing, MOA, Nanjing, P.R. China
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Ze-Nan Hu
- College of Food Science and Technology, Nanjing Agricultural University, National Center of Meat Quality and Safety Nanjing, MOST, Key Laboratory of Meat Processing and Quality Control, MOE, Key Laboratory of Meat Processing, MOA, Nanjing, P.R. China
| | - Guang-Hong Zhou
- College of Food Science and Technology, Nanjing Agricultural University, National Center of Meat Quality and Safety Nanjing, MOST, Key Laboratory of Meat Processing and Quality Control, MOE, Key Laboratory of Meat Processing, MOA, Nanjing, P.R. China
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing, China
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6
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Syddall KL, Fernandez-Martell A, Cartwright JF, Alexandru-Crivac CN, Hodgson A, Racher AJ, Young RJ, James DC. Directed evolution of biomass intensive CHO cells by adaptation to sub-physiological temperature. Metab Eng 2024; 81:53-69. [PMID: 38007176 DOI: 10.1016/j.ymben.2023.11.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 11/05/2023] [Accepted: 11/19/2023] [Indexed: 11/27/2023]
Abstract
We report a simple and effective means to increase the biosynthetic capacity of host CHO cells. Lonza proprietary CHOK1SV® cells were evolved by serial sub-culture for over 150 generations at 32 °C. During this period the specific proliferation rate of hypothermic cells gradually recovered to become comparable to that of cells routinely maintained at 37 °C. Cold-adapted cell populations exhibited (1) a significantly increased volume and biomass content (exemplified by total RNA and protein), (2) increased mitochondrial function, (3) an increased antioxidant capacity, (4) altered central metabolism, (5) increased transient and stable productivity of a model IgG4 monoclonal antibody and Fc-fusion protein, and (6) unaffected recombinant protein N-glycan processing. This phenotypic transformation was associated with significant genome-scale changes in both karyotype and the relative abundance of thousands of cellular mRNAs across numerous functional groups. Taken together, these observations provide evidence of coordinated cellular adaptations to sub-physiological temperature. These data reveal the extreme genomic/functional plasticity of CHO cells, and that directed evolution is a viable genome-scale cell engineering strategy that can be exploited to create host cells with an increased cellular capacity for recombinant protein production.
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Affiliation(s)
- Katie L Syddall
- Department of Chemical and Biological Engineering, University of Sheffield, Mappin St., Sheffield, S1 3JD, UK
| | - Alejandro Fernandez-Martell
- Department of Chemical and Biological Engineering, University of Sheffield, Mappin St., Sheffield, S1 3JD, UK
| | - Joseph F Cartwright
- Department of Chemical and Biological Engineering, University of Sheffield, Mappin St., Sheffield, S1 3JD, UK
| | - Cristina N Alexandru-Crivac
- Department of Chemical and Biological Engineering, University of Sheffield, Mappin St., Sheffield, S1 3JD, UK
| | - Adam Hodgson
- Department of Molecular Biology and Biotechnology, University of Sheffield, Sheffield, S10 2TN, UK
| | | | | | - David C James
- Department of Chemical and Biological Engineering, University of Sheffield, Mappin St., Sheffield, S1 3JD, UK.
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7
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Miyajima R, Manaka H, Honda T, Hashii N, Suzuki M, Komeno M, Takao K, Ishii-Watabe A, Igarashi K, Toida T, Higashi K. Intracellular polyamine depletion induces N-linked galactosylation of the monoclonal antibody produced by CHO DP-12 cells. J Biotechnol 2023; 378:1-10. [PMID: 37922995 DOI: 10.1016/j.jbiotec.2023.10.008] [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: 07/18/2023] [Revised: 10/20/2023] [Accepted: 10/30/2023] [Indexed: 11/07/2023]
Abstract
The heterogeneity of the N-linked glycan profile of therapeutic monoclonal antibodies (mAbs) derived from animal cells affects therapeutic efficacy and, therefore, needs to be appropriately controlled during the manufacturing process. In this study, we examined the effects of polyamines on the N-linked glycan profiles of mAbs produced by CHO DP-12 cells. Normal cell growth of CHO DP-12 cells and their growth arrest by α-difluoromethylornithine (DFMO), an inhibitor of the polyamine biosynthetic pathway, was observed when 0.5% fetal bovine serum was added to serum-free medium, despite the presence of cadaverine and aminopropylcadaverine, instead of putrescine and spermidine in cells. Polyamine depletion by DFMO increased IgG galactosylation, accompanied by β1,4-galactosyl transferase 1 (B4GAT1) mRNA elevation. Additionally, IgG production in polyamine-depleted cells was reduced by 30% compared to that in control cells. Therefore, we examined whether polyamine depletion induces an ER stress response. The results indicated increased expression levels of chaperones for glycoprotein folding in polyamine-depleted cells, suggesting that polyamine depletion causes ER stress related to glycoprotein folding. The effect of tunicamycin, an ER stress inducer that inhibits N-glycosylation, on the expression of B4GALT1 mRNA was examined. Tunicamycin treatment increased B4GALT1 mRNA expression. These results suggest that ER stress caused by polyamine depletion induces B4GALT1 mRNA expression, resulting in increased IgG galactosylation in CHO cells. Thus, introducing polyamines, particularly SPD, to serum-free CHO culture medium for CHO cells may contribute to consistent manufacturing and quality control of antibody production.
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Affiliation(s)
- Rin Miyajima
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Noda, Chiba 278-8510, Japan
| | - Hitomi Manaka
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Noda, Chiba 278-8510, Japan
| | - Tatsuya Honda
- Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8675, Japan
| | - Noritaka Hashii
- Division of Biological Chemistry and Biologicals, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki-shi, Kanagawa 210-9501, Japan
| | - Masato Suzuki
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Noda, Chiba 278-8510, Japan
| | - Masahiro Komeno
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Noda, Chiba 278-8510, Japan
| | - Koichi Takao
- Faculty of Pharmacy and Pharmaceutical Sciences, Josai University, Sakado, Saitama 350-0295, Japan
| | - Akiko Ishii-Watabe
- Division of Biological Chemistry and Biologicals, National Institute of Health Sciences, 3-25-26 Tonomachi, Kawasaki-ku, Kawasaki-shi, Kanagawa 210-9501, Japan
| | - Kazuei Igarashi
- Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8675, Japan; Amine Pharma Research Institute, Innovation Plaza at Chiba University, 1-8-15 Inohana, Chuo-ku, Chiba 260-0856, Japan
| | - Toshihiko Toida
- Graduate School of Pharmaceutical Sciences, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8675, Japan
| | - Kyohei Higashi
- Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Noda, Chiba 278-8510, Japan.
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8
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Kumari P, Saldanha M, Jain R, Dandekar P. Controlling monoclonal antibody aggregation during cell culture using medium additives facilitated by the monitoring of aggregation in cell culture matrix using size exclusion chromatography. J Pharm Biomed Anal 2023; 234:115575. [PMID: 37467528 DOI: 10.1016/j.jpba.2023.115575] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/09/2023] [Accepted: 07/11/2023] [Indexed: 07/21/2023]
Abstract
Controlling monoclonal antibody aggregation at the upstream stage itself can significantly reduce the burden on downstream processing and can improve the process yield. Hence, we have investigated the use of sugar osmolytes (glucose, mannose, sucrose and maltose) and formulation excipients (mannitol, polysorbate 20 and polysorbate 80) as medium additives to reduce protein aggregation during cell culture. Aggregate content in cell culture samples was estimated using a high-resolution size-exclusion chromatography technique, which efficiently resolved the antibody monomer and aggregates in the cell culture matrix i.e., without purification. Glucose, mannose, maltose and the polysorbates effectively reduced the mean aggregate content over the course of the culture. Sugar-based additives exhibited a higher degree of variation during aggregate quantitation as compared to polysorbate additives, rendering the latter a preferred additive. Therefore, this study demonstrated the potential of sugar osmolytes and formulation excipients as media additives during cell culture to reduce aggregate formation, without negatively impacting cell growth and antibody production, facilitated by the monitoring of aggregate content in cell culture samples without purification.
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Affiliation(s)
- Prity Kumari
- Department of Pharmaceutical Science and Technology, Institute of Chemical Technology, Matunga, Mumbai 400019, India
| | - Marianne Saldanha
- Department of Biological Sciences and Biotechnology, Institute of Chemical Technology, Matunga, Mumbai 400019, India
| | - Ratnesh Jain
- Department of Biological Sciences and Biotechnology, Institute of Chemical Technology, Matunga, Mumbai 400019, India
| | - Prajakta Dandekar
- Department of Pharmaceutical Science and Technology, Institute of Chemical Technology, Matunga, Mumbai 400019, India.
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9
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Gibbons L, Maslanka F, Le N, Magill A, Singh P, Mclaughlin J, Madden F, Hayes R, McCarthy B, Rode C, O'Mahony J, Rea R, O'Mahony-Hartnett C. An assessment of the impact of Raman based glucose feedback control on CHO cell bioreactor process development. Biotechnol Prog 2023; 39:e3371. [PMID: 37365962 DOI: 10.1002/btpr.3371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 05/23/2023] [Accepted: 06/14/2023] [Indexed: 06/28/2023]
Abstract
Process analytical technology (PAT) tools such as Raman Spectroscopy have become established tools for real time measurement of CHO cell bioreactor process variables and are aligned with the QbD approach to manufacturing. These tools can have a significant impact on process development if adopted early, creating an end-to-end PAT/QbD focused process. This study assessed the impact of Raman based feedback control on early and late phase development bioreactors by using a Raman based PLS model and PAT management system to control glucose in two CHO cell line bioreactor processes. The impact was then compared to bioreactor processes which used manual bolus fed methods for glucose feed delivery. Process improvements were observed in terms of overall bioreactor health, product output and product quality. Raman controlled batches for Cell Line 1 showed a reduction in glycation of 43.4% and 57.9%, respectively. Cell Line 2 batches with Raman based feedback control showed an improved growth profile with higher VCD and viability and a resulting 25% increase in overall product titer with an improved glycation profile. The results presented here demonstrate that Raman spectroscopy can be used in both early and late-stage process development and design for consistent and controlled glucose feed delivery.
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Affiliation(s)
- Luke Gibbons
- Biotherapeutics Development, Janssen Sciences Ireland UC, Cork, Ireland
- Department of Biological Sciences, Munster Technological University, Cork, Ireland
| | - Francis Maslanka
- BioTherapeutic Development, Janssen Pharmaceutical Companies of Johnson and Johnson, Malvern, Pennsylvania, USA
| | - Nikky Le
- BioTherapeutic Development, Janssen Pharmaceutical Companies of Johnson and Johnson, Malvern, Pennsylvania, USA
| | - Al Magill
- BioTherapeutic Development, Janssen Pharmaceutical Companies of Johnson and Johnson, Malvern, Pennsylvania, USA
| | - Pankaj Singh
- BioTherapeutic Development, Janssen Pharmaceutical Companies of Johnson and Johnson, Malvern, Pennsylvania, USA
| | - Joseph Mclaughlin
- Biotherapeutics Development, Janssen Sciences Ireland UC, Cork, Ireland
| | - Fiona Madden
- Biotherapeutics Development, Janssen Sciences Ireland UC, Cork, Ireland
| | - Ronan Hayes
- Biotherapeutics Development, Janssen Sciences Ireland UC, Cork, Ireland
| | - Barry McCarthy
- Biotherapeutics Development, Janssen Sciences Ireland UC, Cork, Ireland
| | - Christopher Rode
- BioTherapeutic Development, Janssen Pharmaceutical Companies of Johnson and Johnson, Malvern, Pennsylvania, USA
| | - Jim O'Mahony
- Department of Biological Sciences, Munster Technological University, Cork, Ireland
| | - Rosemary Rea
- Department of Biological Sciences, Munster Technological University, Cork, Ireland
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10
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Naik HM, Kumar S, Reddy JV, Gonzalez JE, McConnell BO, Dhara VG, Wang T, Yu M, Antoniewicz MR, Betenbaugh MJ. Chemical inhibitors of hexokinase-2 enzyme reduce lactate accumulation, alter glycosylation processing, and produce altered glycoforms in CHO cell cultures. Biotechnol Bioeng 2023; 120:2559-2577. [PMID: 37148536 DOI: 10.1002/bit.28417] [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: 12/15/2022] [Revised: 04/24/2023] [Accepted: 04/25/2023] [Indexed: 05/08/2023]
Abstract
Chinese hamster ovary (CHO) cells, predominant hosts for recombinant biotherapeutics production, generate lactate as a major glycolysis by-product. High lactate levels adversely impact cell growth and productivity. The goal of this study was to reduce lactate in CHO cell cultures by adding chemical inhibitors to hexokinase-2 (HK2), the enzyme catalyzing the conversion of glucose to glucose 6-phosphate, and examine their impact on lactate accumulation, cell growth, protein titers, and N-glycosylation. Five inhibitors of HK2 enzyme at different concentrations were evaluated, of which 2-deoxy- d-glucose (2DG) and 5-thio- d-glucose (5TG) successfully reduced lactate accumulation with only limited impacts on CHO cell growth. Individual 2DG and 5TG supplementation led to a 35%-45% decrease in peak lactate, while their combined supplementation resulted in a 60% decrease in peak lactate. Inhibitor supplementation led to at least 50% decrease in moles of lactate produced per mol of glucose consumed. Recombinant EPO-Fc titers peaked earlier relative to the end of culture duration in supplemented cultures leading to at least 11% and as high as 32% increase in final EPO-Fc titers. Asparagine, pyruvate, and serine consumption rates also increased in the exponential growth phase in 2DG and 5TG treated cultures, thus, rewiring central carbon metabolism due to low glycolytic fluxes. N-glycan analysis of EPO-Fc revealed an increase in high mannose glycans from 5% in control cultures to 25% and 37% in 2DG and 5TG-supplemented cultures, respectively. Inhibitor supplementation also led to a decrease in bi-, tri-, and tetra-antennary structures and up to 50% lower EPO-Fc sialylation. Interestingly, addition of 2DG led to the incorporation of 2-deoxy-hexose (2DH) on EPO-Fc N-glycans and addition of 5TG resulted in the first-ever observed N-glycan incorporation of 5-thio-hexose (5TH). Six percent to 23% of N-glycans included 5TH moieties, most likely 5-thio-mannose and/or 5-thio-galactose and/or possibly 5-thio-N-acetylglucosamine, and 14%-33% of N-glycans included 2DH moieties, most likely 2-deoxy-mannose and/or 2-deoxy-galactose, for cultures treated with different concentrations of 5TG and 2DG, respectively. Our study is the first to evaluate the impact of these glucose analogs on CHO cell growth, protein production, cell metabolism, N-glycosylation processing, and formation of alternative glycoforms.
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Affiliation(s)
- Harnish Mukesh Naik
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Swetha Kumar
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jayanth Venkatarama Reddy
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | | | - Brian O McConnell
- Department of Chemical and Biomolecular Engineering, Metabolic Engineering and Systems Biology Laboratory, University of Delaware, Newark, Delaware, USA
| | - Venkata Gayatri Dhara
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA
| | - Tiexin Wang
- Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan, USA
| | - Marcella Yu
- Process Science Cell Culture, Boehringer Ingelheim Fremont, Inc., Fremont, California, USA
- currently at Upstream Process Development, Sutro Biopharma, South San Francisco, California, USA
| | - Maciek R Antoniewicz
- Department of Chemical Engineering, University of Michigan, Ann Arbor, Michigan, USA
| | - Michael J Betenbaugh
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, USA
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11
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Kalkan AK, Palaz F, Sofija S, Elmousa N, Ledezma Y, Cachat E, Rios-Solis L. Improving recombinant protein production in CHO cells using the CRISPR-Cas system. Biotechnol Adv 2023; 64:108115. [PMID: 36758652 DOI: 10.1016/j.biotechadv.2023.108115] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 12/28/2022] [Accepted: 02/03/2023] [Indexed: 02/10/2023]
Abstract
Chinese hamster ovary (CHO) cells are among the most widely used mammalian cell lines in the biopharmaceutical industry. Therefore, it is not surprising that significant efforts have been made around the engineering of CHO cells using genetic engineering methods such as the CRISPR-Cas system. In this review, we summarize key recent studies that have used different CRISPR-Cas systems such as Cas9, Cas13 or dCas9 fused with effector domains to improve recombinant protein (r-protein) production in CHO cells. Here, every relevant stage of production was considered, underscoring the advantages and limitations of these systems, as well as discussing their bottlenecks and probable solutions. A special emphasis was given on how these systems could disrupt and/or regulate genes related to glycan composition, which has relevant effects over r-protein properties and in vivo activity. Furthermore, the related promising future applications of CRISPR to achieve a tunable, reversible, or highly stable editing of CHO cells are discussed. Overall, the studies covered in this review show that despite the complexity of mammalian cells, the synthetic biology community has developed many mature strategies to improve r-protein production using CHO cells. In this regard, CRISPR-Cas technology clearly provides efficient and flexible genetic manipulation and allows for the generation of more productive CHO cell lines, leading to more cost-efficient production of biopharmaceuticals, however, there is still a need for many emerging techniques in CRISPR to be reported in CHO cells; therefore, more research in these cells is needed to realize the full potential of this technology.
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Affiliation(s)
- Ali Kerem Kalkan
- Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, UK; Environmental Engineering Department, Gebze Technical University, Turkey
| | - Fahreddin Palaz
- Faculty of Medicine, Hacettepe University, Ankara 06100, Turkey
| | - Semeniuk Sofija
- Centre for Engineering Biology, University of Edinburgh, Edinburgh EH9 3BF, UK; Institute of Quantitative Biology, Biochemistry and Biotechnology, School of Biological Sciences University of Edinburgh, Edinburgh EH9 3BF, UK
| | - Nada Elmousa
- Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh EH9 3DW, UK
| | - Yuri Ledezma
- Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh EH9 3DW, UK; Biology Department, Faculty of Pure and Natural Sciences, Universidad Mayor de San Andrés, Bolivia
| | - Elise Cachat
- Centre for Engineering Biology, University of Edinburgh, Edinburgh EH9 3BF, UK; Institute of Quantitative Biology, Biochemistry and Biotechnology, School of Biological Sciences University of Edinburgh, Edinburgh EH9 3BF, UK; UK Centre for Mammalian Synthetic Biology, University of Edinburgh, Edinburgh EH8 9YL, UK
| | - Leonardo Rios-Solis
- Centre for Engineering Biology, University of Edinburgh, Edinburgh EH9 3BF, UK; Institute for Bioengineering, School of Engineering, University of Edinburgh, Edinburgh EH9 3DW, UK; School of Natural and Environmental Sciences, Molecular Biology and Biotechnology Division, Newcastle University, Newcastle Upon Tyne, NE1 7RU, UK.
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12
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Papež M, Jiménez Lancho V, Eisenhut P, Motheramgari K, Borth N. SLAM-seq reveals early transcriptomic response mechanisms upon glutamine deprivation in Chinese hamster ovary cells. Biotechnol Bioeng 2023; 120:970-986. [PMID: 36575109 DOI: 10.1002/bit.28320] [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: 09/14/2022] [Revised: 11/30/2022] [Accepted: 12/25/2022] [Indexed: 12/29/2022]
Abstract
Mammalian cells frequently encounter subtle perturbations during recombinant protein production. Identifying the genetic factors that govern the cellular stress response can facilitate targeted genetic engineering to obtain production cell lines that demonstrate a higher stress tolerance. To simulate nutrient stress, Chinese hamster ovary (CHO) cells were transferred into a glutamine(Q)-free medium and transcriptional dynamics using thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq) along with standard RNA-seq of stressed and unstressed cells were investigated. The SLAM-seq method allows differentiation between actively transcribed, nascent mRNA, and total (previously present) mRNA in the sample, adding an additional, time-resolved layer to classic RNA-sequencing. The cells tackle amino acid (AA) limitation by inducing the integrated stress response (ISR) signaling pathway, reflected in Atf4 overexpression in the early hours post Q deprivation, leading to subsequent activation of its targets, Asns, Atf3, Ddit3, Eif4ebp1, Gpt2, Herpud1, Slc7a1, Slc7a11, Slc38a2, Trib3, and Vegfa. The GCN2-eIF2α-ATF4 pathway is confirmed by a significant halt in transcription of translation-related genes at 24 h post Q deprivation. The downregulation of lipid synthesis indicates the inhibition of the mTOR pathway, further confirmed by overexpression of Sesn2. Furthermore, SLAM-seq detects short-lived transcription factors, such as Egr1, that would have been missed in standard experimental designs with RNA-seq. Our results describe the successful establishment of SLAM-seq in CHO cells and therefore facilitate its future use in other scenarios where dynamic transcriptome profiling in CHO cells is essential.
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Affiliation(s)
- Maja Papež
- Austrian Centre of Industrial Biotechnology (acib GmbH), Graz, Austria
| | | | - Peter Eisenhut
- Austrian Centre of Industrial Biotechnology (acib GmbH), Graz, Austria
| | | | - Nicole Borth
- Austrian Centre of Industrial Biotechnology (acib GmbH), Graz, Austria
- University of Natural Resources and Life Sciences (BOKU), Vienna, Austria
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13
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Zhang Q, Mi C, Wang T. Effects and mechanism of small molecule additives on recombinant protein in CHO cells. Appl Microbiol Biotechnol 2023; 107:2771-2781. [PMID: 36971794 DOI: 10.1007/s00253-023-12486-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 03/15/2023] [Accepted: 03/16/2023] [Indexed: 03/29/2023]
Abstract
Chinese hamster ovary (CHO) cells can produce proteins with complex structures and post-translational modifications which are similar to human-derived cells, and they have been the ideal host cells for the production of recombinant therapy proteins (RTPs). Nearly 70% of approved RTPs are produced by CHO cells. In recent years, a series of measures have been developed to increase the expression of RTPs to achieve the lower production cost during the process of large-scale industrial production of recombinant protein in CHO cells. Among of them, the addition of small molecule additives in the culture medium can improve the expression and production efficiency of recombinant proteins, and has become an effective and simple method. In this paper, the characteristics of CHO cells, the effect and mechanism of small molecule additives are reviewed. KEY POINTS: • Small molecular additives on the expression of RTPs in CHO cells are reviewed • Small molecular additives improve the yield of RTPs • Small molecular additives provide methods for the optimization of serum-free medium.
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Affiliation(s)
- Qiuli Zhang
- School of Pharmacy, Xinxiang Medical University, Xinxiang, 453003, Henan, China
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang, 453003, Henan, China
| | - Chunliu 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
| | - Tianyun 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.
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14
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Hubli GB, Banerjee S, Rathore AS. Near-infrared spectroscopy based monitoring of all 20 amino acids in mammalian cell culture broth. Talanta 2023; 254:124187. [PMID: 36549134 DOI: 10.1016/j.talanta.2022.124187] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 12/02/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
The biopharmaceutical industry extensively employs Chinese hamster ovary (CHO) cell culture for monoclonal antibody production. Amino acids represent an essential source of nutrients in all CHO cell culture media, and their concentration is known to significantly impact cell viability, titre, and monoclonal antibody critical quality attributes. In this study, a robust Fourier transform near-infrared spectroscopy (FT-NIR) based quantification method has been developed for of all 20 amino acids (0-24 mM), as well as concentrations of glucose (0-6.7 mg mL-1), lactate (0-2.7 mg mL-1), and trastuzumab (0-2.5 mg mL-1) in the CHO cell culture. Near infra-red absorbance spectrum in the range of 4000-11,000 cm-1 were acquired, and spectra pre-processing through smoothening and derivatives were employed to enhance key characteristic signals. High-performance liquid chromatography with pre-column derivatization was used as the orthogonal analytical tool for quantification. Principal component analysis and partial least squares regression were employed for region selection and calibration model development, respectively. The results demonstrate that a good calibration statistic with the acceptable coefficient of determinations for both calibration (Rc2 = 0.94-0.99) and prediction (Rp2 = 0.83-0.98) could be achieved, along with high RPD values (>3) for all components except alanine (2.4). The external validation study also exhibited a satisfactory outcome (REV2 = 0.89-0.99, RMSE = 0.04-1.04), validating the model's ability to predict the concentrations of the respective species. The calibration models were successfully applied for at-line monitoring of two perfusion runs on a 10 L scale. To our knowledge, this is the first application where NIR spectroscopy-based measurement of all 20 amino acids in mammalian cell culture samples has been demonstrated. The proposed tool can play a critical role as biopharma manufacturers implement continuous processing as well as for facilitating process analytical technology-based control of mammalian cell culture processes.
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Affiliation(s)
| | - Shantanu Banerjee
- Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India
| | - Anurag S Rathore
- Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India.
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15
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Irreversible and reversible impact on cellular behavior upon intra-experimental process parameter shifts in a CHO semi-continuous perfusion process. Biochem Eng J 2023. [DOI: 10.1016/j.bej.2023.108876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
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16
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Identification of Cell Culture Factors Influencing Afucosylation Levels in Monoclonal Antibodies by Partial Least-Squares Regression and Variable Importance Metrics. Processes (Basel) 2023. [DOI: 10.3390/pr11010223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Retrospective analysis of historic data for cell culture processes is a powerful tool to develop further process understanding. In particular, deploying retrospective analyses can identify important cell culture process parameters for controlling critical quality attributes, e.g., afucosylation, for the production of monoclonal antibodies (mAbs). However, a challenge of analyzing large cell culture data is the high correlation between regressors (particularly media composition), which makes traditional analyses, such as analysis of variance and multivariate linear regression, inappropriate. Instead, partial least-squares regression (PLSR) models, in combination with machine learning techniques such as variable importance metrics, are an orthogonal or alternative approach to identifying important regressors and overcoming the challenge of a highly covariant data structure. A specific workflow for the retrospective analysis of cell culture data is proposed that covers data curation, PLS regression, model analysis, and further steps. In this study, the proposed workflow was applied to data from four mAb products in an industrial cell culture process to identify significant process parameters that influence the afucosylation levels. The PLSR workflow successfully identified several significant parameters, such as temperature and media composition, to enhance process understanding of the relationship between cell culture processes and afucosylation levels.
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17
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Xu WJ, Lin Y, Mi CL, Pang JY, Wang TY. Progress in fed-batch culture for recombinant protein production in CHO cells. Appl Microbiol Biotechnol 2023; 107:1063-1075. [PMID: 36648523 PMCID: PMC9843118 DOI: 10.1007/s00253-022-12342-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 12/13/2022] [Accepted: 12/15/2022] [Indexed: 01/18/2023]
Abstract
Nearly 80% of the approved human therapeutic antibodies are produced by Chinese Hamster Ovary (CHO) cells. To achieve better cell growth and high-yield recombinant protein, fed-batch culture is typically used for recombinant protein production in CHO cells. According to the demand of nutrients consumption, feed medium containing multiple components in cell culture can affect the characteristics of cell growth and improve the yield and quality of recombinant protein. Fed-batch optimization should have a connection with comprehensive factors such as culture environmental parameters, feed composition, and feeding strategy. At present, process intensification (PI) is explored to maintain production flexible and meet forthcoming demands of biotherapeutics process. Here, CHO cell culture, feed composition in fed-batch culture, fed-batch culture environmental parameters, feeding strategies, metabolic byproducts in fed-batch culture, chemostat cultivation, and the intensified fed-batch are reviewed. KEY POINTS: • Fed-batch culture in CHO cells is reviewed. • Fed-batch has become a common technology for recombinant protein production. • Fed batch culture promotes recombinant protein production in CHO cells.
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Affiliation(s)
- Wen-Jing Xu
- grid.412990.70000 0004 1808 322XInternational Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang, 453003 Henan China ,grid.412990.70000 0004 1808 322XSchool of Pharmacy, Xinxiang Medical University, Xinxiang, 453003 Henan China
| | - Yan Lin
- grid.412990.70000 0004 1808 322XInternational Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang, 453003 Henan China ,grid.412990.70000 0004 1808 322XSchool of Nursing, Xinxiang Medical University, Xinxiang, 453003 Henan China
| | - Chun-Liu Mi
- grid.412990.70000 0004 1808 322XInternational Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang, 453003 Henan China
| | - Jing-Ying Pang
- grid.412990.70000 0004 1808 322XSchool of the First Clinical College, Xinxiang Medical University, Xinxiang, 453000 Henan China
| | - Tian-Yun Wang
- grid.412990.70000 0004 1808 322XInternational Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang, 453003 Henan China ,grid.495434.b0000 0004 1797 4346School of medicine, Xinxiang University, Xinxiang, 453003 Henan China
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18
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McCorry MC, Reardon KF, Black M, Williams C, Babakhanova G, Halpern JM, Sarkar S, Swami NS, Mirica KA, Boermeester S, Underhill A. Sensor technologies for quality control in engineered tissue manufacturing. Biofabrication 2022; 15:10.1088/1758-5090/ac94a1. [PMID: 36150372 PMCID: PMC10283157 DOI: 10.1088/1758-5090/ac94a1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 09/23/2022] [Indexed: 11/11/2022]
Abstract
The use of engineered cells, tissues, and organs has the opportunity to change the way injuries and diseases are treated. Commercialization of these groundbreaking technologies has been limited in part by the complex and costly nature of their manufacture. Process-related variability and even small changes in the manufacturing process of a living product will impact its quality. Without real-time integrated detection, the magnitude and mechanism of that impact are largely unknown. Real-time and non-destructive sensor technologies are key for in-process insight and ensuring a consistent product throughout commercial scale-up and/or scale-out. The application of a measurement technology into a manufacturing process requires cell and tissue developers to understand the best way to apply a sensor to their process, and for sensor manufacturers to understand the design requirements and end-user needs. Furthermore, sensors to monitor component cells' health and phenotype need to be compatible with novel integrated and automated manufacturing equipment. This review summarizes commercially relevant sensor technologies that can detect meaningful quality attributes during the manufacturing of regenerative medicine products, the gaps within each technology, and sensor considerations for manufacturing.
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Affiliation(s)
- Mary Clare McCorry
- Advanced Regenerative Manufacturing Institute, Manchester, NH 03101, United States of America
| | - Kenneth F Reardon
- Chemical and Biological Engineering and Biomedical Engineering, Colorado State University, Fort Collins, CO 80521, United States of America
| | - Marcie Black
- Advanced Silicon Group, Lowell, MA 01854, United States of America
| | - Chrysanthi Williams
- Access Biomedical Solutions, Trinity, Florida 34655, United States of America
| | - Greta Babakhanova
- National Institute of Standards and Technology, Gaithersburg, MD 20899, United States of America
| | - Jeffrey M Halpern
- Department of Chemical Engineering, University of New Hampshire, Durham, NH 03824, United States of America
- Materials Science and Engineering Program, University of New Hampshire, Durham, NH 03824, United States of America
| | - Sumona Sarkar
- National Institute of Standards and Technology, Gaithersburg, MD 20899, United States of America
| | - Nathan S Swami
- Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, United States of America
| | - Katherine A Mirica
- Department of Chemistry, Dartmouth College, Hanover, NH 03755, United States of America
| | - Sarah Boermeester
- Advanced Regenerative Manufacturing Institute, Manchester, NH 03101, United States of America
| | - Abbie Underhill
- Scientific Bioprocessing Inc., Pittsburgh, PA 15238, United States of America
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19
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Bourguignon N, Karp P, Attallah C, Chamorro DA, Oggero M, Booth R, Ferrero S, Bhansali S, Pérez MS, Lerner B, Helguera G. Large Area Microfluidic Bioreactor for Production of Recombinant Protein. BIOSENSORS 2022; 12:bios12070526. [PMID: 35884329 PMCID: PMC9313365 DOI: 10.3390/bios12070526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 07/06/2022] [Accepted: 07/07/2022] [Indexed: 11/16/2022]
Abstract
To produce innovative biopharmaceuticals, highly flexible, adaptable, robust, and affordable bioprocess platforms for bioreactors are essential. In this article, we describe the development of a large-area microfluidic bioreactor (LM bioreactor) for mammalian cell culture that works at laminar flow and perfusion conditions. The 184 cm2 32 cisterns LM bioreactor is the largest polydimethylsiloxane (PDMS) microfluidic device fabricated by photopolymer flexographic master mold methodology, reaching a final volume of 2.8 mL. The LM bioreactor was connected to a syringe pump system for culture media perfusion, and the cells’ culture was monitored by photomicrograph imaging. CHO-ahIFN-α2b adherent cell line expressing the anti-hIFN-a2b recombinant scFv-Fc monoclonal antibody (mAb) for the treatment of systemic lupus erythematosus were cultured on the LM bioreactor. Cell culture and mAb production in the LM bioreactor could be sustained for 18 days. Moreover, the anti-hIFN-a2b produced in the LM bioreactor showed higher affinity and neutralizing antiproliferative activity compared to those mAbs produced in the control condition. We demonstrate for the first-time, a large area microfluidic bioreactor for mammalian cell culture that enables a controlled microenvironment suitable for the development of high-quality biologics with potential for therapeutic use.
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Affiliation(s)
- Natalia Bourguignon
- Centro IREN, Universidad Tecnológica Nacional, Haedo B1706EAH, Provincia de Buenos Aires, Argentina; (N.B.); (D.A.C.); (M.S.P.)
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA;
| | - Paola Karp
- Laboratorio de Biotecnología Farmacéutica, Instituto de Biología y Medicina Experimental (IBYME-CONICET), Ciudad de Buenos Aires C1428ADN, Argentina; (P.K.); (S.F.)
| | - Carolina Attallah
- Centro Biotecnológico del Litoral, Laboratorio de Cultivos Celulares, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral (UNL), CONICET, Santa Fe S3000ZAA, Provincia de Santa Fe, Argentina; (C.A.); (M.O.)
| | - Daniel A. Chamorro
- Centro IREN, Universidad Tecnológica Nacional, Haedo B1706EAH, Provincia de Buenos Aires, Argentina; (N.B.); (D.A.C.); (M.S.P.)
| | - Marcos Oggero
- Centro Biotecnológico del Litoral, Laboratorio de Cultivos Celulares, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral (UNL), CONICET, Santa Fe S3000ZAA, Provincia de Santa Fe, Argentina; (C.A.); (M.O.)
| | - Ross Booth
- Roche Sequencing Solutions, Inc., Pleasanton, CA 94588, USA;
| | - Sol Ferrero
- Laboratorio de Biotecnología Farmacéutica, Instituto de Biología y Medicina Experimental (IBYME-CONICET), Ciudad de Buenos Aires C1428ADN, Argentina; (P.K.); (S.F.)
| | - Shekhar Bhansali
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA;
| | - Maximiliano S. Pérez
- Centro IREN, Universidad Tecnológica Nacional, Haedo B1706EAH, Provincia de Buenos Aires, Argentina; (N.B.); (D.A.C.); (M.S.P.)
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA;
| | - Betiana Lerner
- Centro IREN, Universidad Tecnológica Nacional, Haedo B1706EAH, Provincia de Buenos Aires, Argentina; (N.B.); (D.A.C.); (M.S.P.)
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL 33174, USA;
- Correspondence: (B.L.); (G.H.); Tel.:+5411-4343-1177 (ext. 1209) (B.L.); +54-11-4783-2869 (G.H.)
| | - Gustavo Helguera
- Laboratorio de Biotecnología Farmacéutica, Instituto de Biología y Medicina Experimental (IBYME-CONICET), Ciudad de Buenos Aires C1428ADN, Argentina; (P.K.); (S.F.)
- Correspondence: (B.L.); (G.H.); Tel.:+5411-4343-1177 (ext. 1209) (B.L.); +54-11-4783-2869 (G.H.)
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20
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Puranik A, Saldanha M, Chirmule N, Dandekar P, Jain R. Advanced strategies in glycosylation prediction and control during biopharmaceutical development: Avenues toward Industry 4.0. Biotechnol Prog 2022; 38:e3283. [PMID: 35752935 DOI: 10.1002/btpr.3283] [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: 03/24/2022] [Revised: 05/31/2022] [Accepted: 06/17/2022] [Indexed: 11/09/2022]
Abstract
Glycosylation has been shown to define the safety and efficacy of biopharmaceuticals, thus classified as a critical quality attribute. However, controlling glycan heterogeneity has always been a major challenge owing to the multi-variate factors that govern the glycosylation process. Conventional approaches for controlling glycosylation such as gene editing and metabolic control have succeeded in obtaining desired glycan profiles in accordance with the Quality by Design paradigm. Nonetheless, the development of smart algorithms and omics-enabled complete cell characterization have made it possible to predict glycan profiles beforehand, and manipulate process variables accordingly. This review thus discusses the various approaches available for control and prediction of glycosylation in biopharmaceuticals. Further, the futuristic goal of integrating such technologies is discussed in order to attain an automated and digitized continuous bioprocess for control of glycosylation. Given, control of a process as complex as glycosylation requires intense monitoring intervention, we examine the current technologies that enable automation. Finally, we discuss the challenges and the technological gap that currently limits incorporation of an automated process in routine bio-manufacturing, with a glimpse into the economic bearing. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Amita Puranik
- Department of Chemical Engineering, Institute of Chemical Technology, Matunga, Mumbai, India
| | - Marianne Saldanha
- Department of Chemical Engineering, Institute of Chemical Technology, Matunga, Mumbai, India
| | | | - Prajakta Dandekar
- Department of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, Matunga, Mumbai, India
| | - Ratnesh Jain
- Department of Chemical Engineering, Institute of Chemical Technology, Matunga, Mumbai, India
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21
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Wang Y, Wang X, Luu LDW, Chen S, Jin F, Wang S, Huang X, Wang L, Zhou X, Chen X, Cui X, Li J, Tai J, Zhu X. Proteomic and Metabolomic Signatures Associated With the Immune Response in Healthy Individuals Immunized With an Inactivated SARS-CoV-2 Vaccine. Front Immunol 2022; 13:848961. [PMID: 35686122 PMCID: PMC9171821 DOI: 10.3389/fimmu.2022.848961] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 04/20/2022] [Indexed: 12/28/2022] Open
Abstract
CoronaVac (Sinovac), an inactivated vaccine for SARS-CoV-2, has been widely used for immunization. However, analysis of the underlying molecular mechanisms driving CoronaVac-induced immunity is still limited. Here, we applied a systems biology approach to understand the mechanisms behind the adaptive immune response to CoronaVac in a cohort of 50 volunteers immunized with 2 doses of CoronaVac. Vaccination with CoronaVac led to an integrated immune response that included several effector arms of the adaptive immune system including specific IgM/IgG, humoral response and other immune response, as well as the innate immune system as shown by complement activation. Metabolites associated with immunity were also identified implicating the role of metabolites in the humoral response, complement activation and other immune response. Networks associated with the TCA cycle and amino acids metabolic pathways, such as phenylalanine metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, and glycine, serine and threonine metabolism were tightly coupled with immunity. Critically, we constructed a multifactorial response network (MRN) to analyze the underlying interactions and compared the signatures affected by CoronaVac immunization and SARS-CoV-2 infection to further identify immune signatures and related metabolic pathways altered by CoronaVac immunization. These results help us to understand the host response to vaccination of CoronaVac and highlight the utility of a systems biology approach in defining molecular correlates of protection to vaccination.
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Affiliation(s)
- Yi Wang
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, China
| | - Xiaoxia Wang
- Central & Clinical Laboratory of Sanya People's Hospital, Sanya, China
| | - Laurence Don Wai Luu
- School of Biotechnology and Biomolecular Science, University of New South Wales, Sydney, NSW, Australia
| | - Shaojin Chen
- Central & Clinical Laboratory of Sanya People's Hospital, Sanya, China
| | - Fu Jin
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, China
| | - Shufang Wang
- Nursing department of Sanya People's Hospital, Sanya, China
| | - Xiaolan Huang
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, China
| | - Licheng Wang
- Central & Clinical Laboratory of Sanya People's Hospital, Sanya, China
| | - Xiaocui Zhou
- Central & Clinical Laboratory of Sanya People's Hospital, Sanya, China
| | - Xi Chen
- Central & Clinical Laboratory of Sanya People's Hospital, Sanya, China
| | - Xiaodai Cui
- Experimental Research Center, Capital Institute of Pediatrics, Beijing, China
| | - Jieqiong Li
- Department of Respiratory Disease, Beijing Pediatric Research Institute, Beijing Children's Hospital, National Center for Children's Health, Capital Medical University, Beijing, China
| | - Jun Tai
- Department of Otolaryngology, Head and Neck Surgery, Children's Hospital Capital Institute of Pediatrics, Beijing, China
| | - Xiong Zhu
- Central & Clinical Laboratory of Sanya People's Hospital, Sanya, China
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22
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Schulze M, Kumar Y, Rattay M, Niemann J, Wijffels RH, Martens D. Transcriptomic analysis reveals mode of action of butyric acid supplementation in an intensified CHO cell fed‐batch process. Biotechnol Bioeng 2022; 119:2359-2373. [PMID: 35641884 PMCID: PMC9545226 DOI: 10.1002/bit.28150] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 05/17/2022] [Accepted: 05/28/2022] [Indexed: 11/10/2022]
Abstract
Process intensification is increasingly used in the mammalian biomanufacturing industry. The key driver of this trend is the need for more efficient and flexible production strategies to cope with the increased demand for biotherapeutics predicted in the next years. Therefore, such intensified production strategies should be designed, established, and characterized. We established a CHO cell process consisting of an intensified fed‐batch (iFB), which is inoculated by an N‐1 perfusion process that reaches high cell concentrations (100 × 106 c ml−1). We investigated the impact of butyric acid (BA) supplementation in this iFB process. Most prominently, higher cellular productivities of more than 33% were achieved, thus 3.5 g L−1 of immunoglobulin G (IgG) was produced in 6.5 days. Impacts on critical product quality attributes were small. To understand the biological mechanisms of BA in the iFB process, we performed a detailed transcriptomic analysis. Affected gene sets reflected concurrent inhibition of cell proliferation and impact on histone modification. These translate into subsequently enhanced mechanisms of protein biosynthesis: enriched regulation of transcription, messenger RNA processing and transport, ribosomal translation, and cellular trafficking of IgG intermediates. Furthermore, we identified mutual tackling points for optimization by gene engineering. The presented strategy can contribute to meet future requirements in the continuously demanding field of biotherapeutics production.
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Affiliation(s)
- Markus Schulze
- Product Development Cell Culture Technologies, Sartorius Stedim Biotech GmbHAugust‐Spindler‐Str. 1137079GöttingenGermany
- Bioprocess EngineeringWageningen UniversityPO Box 166700 AAWageningenNetherlands
| | - Yadhu Kumar
- Eurofins Genomics Europe Sequencing GmbHJakob‐Stadler‐Platz 7D‐78467KonstanzGermany
| | - Merle Rattay
- Corporate Research Advanced Cell Biology, Sartorius Stedim Cellca GmbHMarie‐Goeppert‐Mayer‐Str. 989081Ulm
| | - Julia Niemann
- Corporate Research BioProcessing Upstream, Sartorius Stedim Biotech GmbHAugust‐Spindler‐Str. 1137079GöttingenGermany
| | - Rene H. Wijffels
- Bioprocess EngineeringWageningen UniversityPO Box 166700 AAWageningenNetherlands
- Biosciences and AquacultureNord UniversityN‐8049BodøNorway
| | - Dirk Martens
- Bioprocess EngineeringWageningen UniversityPO Box 166700 AAWageningenNetherlands
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23
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Gyorgypal A, Chundawat SPS. Integrated Process Analytical Platform for Automated Monitoring of Monoclonal Antibody N-Linked Glycosylation. Anal Chem 2022; 94:6986-6995. [PMID: 35385654 DOI: 10.1021/acs.analchem.1c05396] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
The biopharmaceutical industry is transitioning toward the adoption of continuous biomanufacturing practices that are often more flexible and efficient than traditional batch processes. Federal regulatory agencies are further urging the use of advanced process analytical technology (PAT) to analyze the design space to increase the process knowledge and enable high-quality biologic production. Post-translational modifications of proteins, such as N-linked glycosylation, are often critical quality attributes that affect biologics' safety and efficacy, requiring close monitoring during manufacturing. Here, we developed an online sequential-injection-based PAT system, called N-GLYcanyzer, which can rapidly monitor mAb glycosylation during upstream biomanufacturing. The key innovation includes the design of an integrated mAb sampling and fully automated sample derivation system for antibody titer and glycoform analysis within 3 h. The N-GLYcanyzer process includes mAb capture, deglycosylation, released glycan labeling with fluorescent dyes, and labeled glycan enrichment for direct injection/analysis on an integrated high-performance liquid chromatography system. Different fluorescent tags and reductants were tested to maximize glycan labeling efficiency under aqueous conditions, while porous graphitized carbon (PGC) was used for optimizing glycan recovery and enrichment. We found that 2-aminobenzamide labeling of glycans with 2-picoline borane as a reducing agent, using the N-GLYcanyzer workflow, shows higher glycan labeling efficiency under aqueous conditions, leading upward to a 5-fold increase in fluorescent product intensity. Finally, we showcase how the N-GLYcanyzer platform can be implemented at-/online in an upstream bioreactor for automated and near-real-time glycosylation monitoring of a Trastuzumab biosimilar produced by Chinese hamster ovary cells.
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Affiliation(s)
- Aron Gyorgypal
- Department of Chemical and Biochemical Engineering, School of Engineering, Rutgers The State University of New Jersey, Piscataway, New Jersey 08854, United States
| | - Shishir P S Chundawat
- Department of Chemical and Biochemical Engineering, School of Engineering, Rutgers The State University of New Jersey, Piscataway, New Jersey 08854, United States
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24
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Schwarz H, Mäkinen ME, Castan A, Chotteau V. Monitoring of Amino Acids and Antibody N-Glycosylation in High Cell Density Perfusion Culture based on Raman Spectroscopy. Biochem Eng J 2022. [DOI: 10.1016/j.bej.2022.108426] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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25
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Li WF, Fan ZL, Wang XY, Lin Y, Wang TY. Combination of sodium butyrate and decitabine promotes transgene expression in CHO cells via apoptosis inhibition. N Biotechnol 2022; 69:8-17. [PMID: 35217202 DOI: 10.1016/j.nbt.2022.02.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 02/16/2022] [Accepted: 02/19/2022] [Indexed: 12/18/2022]
Abstract
Chinese hamster ovary (CHO) cells are currently the most widely used host cells for production of recombinant therapeutic proteins (RTPs). Small-molecule additives related to cell cycle apoptosis and autophagy regulation have been used to promote RTP production. By combining two small-molecule additives, positive synergistic effects on transgene expression were observed in CHO cells. In the present study, six small-molecule additives were used, including hydrocinnamic acid (HCA), sodium butyrate (NaB), lithium acetate (LiAc), sodium succinate dibasic hexahydrate (SDH), decitabine (DAC), and sodium propionate (SP). Experiments to test the effects of their pairwise combinations on two different recombinant CHO cell lines (rCHO) were designed using Design-Expert 12.0. Different effects of various pairs of small molecules on apoptosis- and autophagy-related protein expression were observed in the rCHOs. The results showed that compared to the control culture, NaB alone increased the volumetric yield and specific productivity (Qp) by 166% and 143%, respectively. The volumetric yield and Qp of NaB combined with DAC (Cg1)-treated cells increased by 178% and 212%, respectively. Cg1 selectively blocked the cells in the G0/G1 cell cycle stage. The relative expression levels of B-cell lymphoma 2 (Bcl-2), Beclin 1, and microtubule-associated protein light chain 3 (LC3B) in Cg1-treated CHO cells were significantly increased, while relative levels of cleaved caspase-3 expression were significantly decreased. In conclusion, Cg1 had the most obvious effect on RTP production and Qp in CHO cells, suggesting the Cg1 combination of small molecules may be used to improve the expression of recombinant protein in CHO cells.
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Affiliation(s)
- Wei-Feng Li
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, China
| | - Zhen-Lin Fan
- Henan International Joint Laboratory of Recombinant Pharmaceutical Protein Expression System, Xinxiang Medical University, Xinxiang 453003, Henan, China
| | - Xiao-Yin Wang
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, China
| | - Yan Lin
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, China
| | - Tian-Yun Wang
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, China; Henan International Joint Laboratory of Recombinant Pharmaceutical Protein Expression System, Xinxiang Medical University, Xinxiang 453003, Henan, China.
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26
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Fedi A, Vitale C, Giannoni P, Caluori G, Marrella A. Biosensors to Monitor Cell Activity in 3D Hydrogel-Based Tissue Models. SENSORS (BASEL, SWITZERLAND) 2022; 22:1517. [PMID: 35214418 PMCID: PMC8879987 DOI: 10.3390/s22041517] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/06/2022] [Accepted: 02/09/2022] [Indexed: 12/13/2022]
Abstract
Three-dimensional (3D) culture models have gained relevant interest in tissue engineering and drug discovery owing to their suitability to reproduce in vitro some key aspects of human tissues and to provide predictive information for in vivo tests. In this context, the use of hydrogels as artificial extracellular matrices is of paramount relevance, since they allow closer recapitulation of (patho)physiological features of human tissues. However, most of the analyses aimed at characterizing these models are based on time-consuming and endpoint assays, which can provide only static and limited data on cellular behavior. On the other hand, biosensing systems could be adopted to measure on-line cellular activity, as currently performed in bi-dimensional, i.e., monolayer, cell culture systems; however, their translation and integration within 3D hydrogel-based systems is not straight forward, due to the geometry and materials properties of these advanced cell culturing approaches. Therefore, researchers have adopted different strategies, through the development of biochemical, electrochemical and optical sensors, but challenges still remain in employing these devices. In this review, after examining recent advances in adapting existing biosensors from traditional cell monolayers to polymeric 3D cells cultures, we will focus on novel designs and outcomes of a range of biosensors specifically developed to provide real-time analysis of hydrogel-based cultures.
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Affiliation(s)
- Arianna Fedi
- National Research Council of Italy, Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), 16149 Genoa, Italy; (A.F.); (C.V.)
- Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, 16126 Genoa, Italy
| | - Chiara Vitale
- National Research Council of Italy, Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), 16149 Genoa, Italy; (A.F.); (C.V.)
- Department of Experimental Medicine (DIMES), University of Genoa, 16132 Genoa, Italy;
| | - Paolo Giannoni
- Department of Experimental Medicine (DIMES), University of Genoa, 16132 Genoa, Italy;
| | - Guido Caluori
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, 33600 Pessac, France;
- INSERM UMR 1045, Cardiothoracic Research Center of Bordeaux, University of Bordeaux, 33600 Pessac, France
| | - Alessandra Marrella
- National Research Council of Italy, Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), 16149 Genoa, Italy; (A.F.); (C.V.)
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27
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Lai Z, Choudhury FK, Tang D, Liang X, Dean B, Misaghi S, Sangaraju D. LC-HRMS based Targeted Metabolomics for High-throughput and Quantitative Analysis of 21 Growth Inhibition Related Metabolites in CHO Cell Fed-Batch Cultures. Biomed Chromatogr 2022; 36:e5348. [PMID: 35083760 DOI: 10.1002/bmc.5348] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/10/2022] [Accepted: 01/20/2022] [Indexed: 11/08/2022]
Abstract
Chinese hamster ovary (CHO) cells have been widely used in the biopharmaceutical industry for production of therapeutic proteins. CHO cells in fed-batch cultures produce various amino acid-derived intermediate metabolites. These small molecule metabolic byproducts have proven to be critical to cell growth, culture performance, and more interestingly antibody drug productivity. Herein, we developed a liquid chromatography - high resolution mass spectrometry (LC-HRMS) based targeted metabolomics approach for comprehensive quantification of total 21 growth inhibition related metabolites generated from 14 different amino acids in CHO cell fed-batch cultures. High throughput derivatization procedures, matrix-matched calibration curves, stable isotope-labeled internal standards, and accurate mass Full MS scan were utilized in order to achieve our goal for wide scope of metabolite screening as well as validity and reliability of metabolite quantification. We further present a novel analytical strategy for extending the assay's dynamic range by utilizing naturally occurring isotope M+1 ion as a quantification analogue in the circumstances where the principal M ion is beyond its calibration range. The integrated method was qualified for selectivity, sensitivity, linearity, accuracy, precision, isotope analysis and other analytical aspects to demonstrate assay robustness. We then applied this metabolomics approach to characterize metabolites of interest in a CHO cell based monoclonal antibody (mAb) production process with fed-batch bioreactor culture mode. Absolute quantification combined with multivariate statistical analysis illustrated that our target analytes derived from amino acids, especially from branched-chain amino acids, closely correlated with cell viability and significantly differentiated cellular stages in production process.
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Affiliation(s)
- Zijuan Lai
- Drug Metabolism and Pharmacokinetics Department, Genentech Inc., South San Francisco, CA, USA
| | - Feroza K Choudhury
- Drug Metabolism and Pharmacokinetics Department, Genentech Inc., South San Francisco, CA, USA
| | - Danming Tang
- Cell Culture and Bioprocess Operations Department, Genentech Inc., South San Francisco, CA, USA
| | - Xiaorong Liang
- Drug Metabolism and Pharmacokinetics Department, Genentech Inc., South San Francisco, CA, USA
| | - Brian Dean
- Drug Metabolism and Pharmacokinetics Department, Genentech Inc., South San Francisco, CA, USA
| | - Shahram Misaghi
- Cell Culture and Bioprocess Operations Department, Genentech Inc., South San Francisco, CA, USA
| | - Dewakar Sangaraju
- Drug Metabolism and Pharmacokinetics Department, Genentech Inc., South San Francisco, CA, USA
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28
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Savizi ISP, Maghsoudi N, Motamedian E, Lewis NE, Shojaosadati SA. Valine feeding reduces ammonia production through rearrangement of metabolic fluxes in central carbon metabolism of CHO cells. Appl Microbiol Biotechnol 2022; 106:1113-1126. [PMID: 35044498 DOI: 10.1007/s00253-021-11755-4] [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: 09/21/2021] [Revised: 12/21/2021] [Accepted: 12/27/2021] [Indexed: 11/02/2022]
Abstract
Ammonia is a toxic byproduct of CHO cell metabolism, which inhibits cell growth, reduces cell viability, alters glycosylation, and decreases recombinant protein productivity. In an attempt to minimize the ammonium accumulation in cell culture media, different amino acids were added individually to the culture medium before the production phase to alleviate the negative effects of ammonium on cell culture performance. Among all the amino acids examined in this study, valine showed the most positive impact on CHO cell culture performance. When the cultured CHO cells were fed with 5 mM valine, EPO titer was increased by 25% compared to the control medium, and ammonium and lactate production were decreased by 23 and 26%, respectively, relative to the control culture. Moreover, the sialic acid content of the EPO protein in valine-fed culture was higher than in the control culture, most likely because of the lower ammonium concentration. Flux balance analysis (FBA) results demonstrated that the citric acid cycle was enriched by valine feeding. The measurement of TCA cycle activity supported this finding. The analysis revealed that there might be a link between promoting tricarboxylic acid (TCA) cycle metabolism in valine-fed culture and reduction in lactate and ammonia accumulation. Furthermore, in valine-fed culture, FBA outcomes showed that alanine was excreted into the medium as the primary mechanism for reducing ammonium concentration. It was predicted that the elevated TCA cycle metabolism was concurrent with an increment in recombinant protein production. Taken together, our data demonstrate that valine addition could be an effective strategy for mitigating the negative impacts of ammonium and enhancing glycoprotein production in both quality and quantity. KEY POINTS: • Valine feeding can mitigate the negative impacts of ammonia on CHO cell growth. • Valine addition assists the ammonia removal mechanism by enriching the TCA cycle. • Ammonia is removed from the media through alanine excretion in valine-fed culture.
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Affiliation(s)
- Iman Shahidi Pour Savizi
- Biotechnology Department, Faculty of Chemical Engineering, Tarbiat Modares University, P.O. Box 14155-4838, Tehran, Iran
| | - Nader Maghsoudi
- Neuroscience Research Center, Shahid Beheshti University of Medical Science, Tehran, Iran
| | - Ehsan Motamedian
- Biotechnology Department, Faculty of Chemical Engineering, Tarbiat Modares University, P.O. Box 14155-4838, Tehran, Iran
| | - Nathan E Lewis
- Department of Bioengineering, University of California, La Jolla, San Diego, CA, USA.,School of Medicine, Novo Nordisk Foundation Center for Biosustainability at the University of California, La Jolla, San Diego, CA, USA.,Department of Pediatrics, School of Medicine, University of California, La Jolla, San Diego, CA, USA
| | - Seyed Abbas Shojaosadati
- Biotechnology Department, Faculty of Chemical Engineering, Tarbiat Modares University, P.O. Box 14155-4838, Tehran, Iran.
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29
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Modern Sensor Tools and Techniques for Monitoring, Controlling, and Improving Cell Culture Processes. Processes (Basel) 2022. [DOI: 10.3390/pr10020189] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
The growing biopharmaceutical industry has reached a level of maturity that allows for the monitoring of numerous key variables for both process characterization and outcome predictions. Sensors were historically used in order to maintain an optimal environment within the reactor to optimize process performance. However, technological innovation has pushed towards on-line in situ continuous monitoring of quality attributes that could previously only be estimated off-line. These new sensing technologies when coupled with software models have shown promise for unique fingerprinting, smart process control, outcome improvement, and prediction. All this can be done without requiring invasive sampling or intervention on the system. In this paper, the state-of-the-art sensing technologies and their applications in the context of cell culture monitoring are reviewed with emphasis on the coming push towards industry 4.0 and smart manufacturing within the biopharmaceutical sector. Additionally, perspectives as to how this can be leveraged to improve both understanding and outcomes of cell culture processes are discussed.
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30
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Bayer B, Duerkop M, Striedner G, Sissolak B. Model Transferability and Reduced Experimental Burden in Cell Culture Process Development Facilitated by Hybrid Modeling and Intensified Design of Experiments. Front Bioeng Biotechnol 2022; 9:740215. [PMID: 35004635 PMCID: PMC8733703 DOI: 10.3389/fbioe.2021.740215] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 11/22/2021] [Indexed: 12/22/2022] Open
Abstract
Reliable process development is accompanied by intense experimental effort. The utilization of an intensified design of experiments (iDoE) (intra-experimental critical process parameter (CPP) shifts combined) with hybrid modeling potentially reduces process development burden. The iDoE can provide more process response information in less overall process time, whereas hybrid modeling serves as a commodity to describe this behavior the best way. Therefore, a combination of both approaches appears beneficial for faster design screening and is especially of interest at larger scales where the costs per experiment rise significantly. Ideally, profound process knowledge is gathered at a small scale and only complemented with few validation experiments on a larger scale, saving valuable resources. In this work, the transferability of hybrid modeling for Chinese hamster ovary cell bioprocess development along process scales was investigated. A two-dimensional DoE was fully characterized in shake flask duplicates (300 ml), containing three different levels for the cultivation temperature and the glucose concentration in the feed. Based on these data, a hybrid model was developed, and its performance was assessed by estimating the viable cell concentration and product titer in 15 L bioprocesses with the same DoE settings. To challenge the modeling approach, 15 L bioprocesses also comprised iDoE runs with intra-experimental CPP shifts, impacting specific cell rates such as growth, consumption, and formation. Subsequently, the applicability of the iDoE cultivations to estimate static cultivations was also investigated. The shaker-scale hybrid model proved suitable for application to a 15 L scale (1:50), estimating the viable cell concentration and the product titer with an NRMSE of 10.92% and 17.79%, respectively. Additionally, the iDoE hybrid model performed comparably, displaying NRMSE values of 13.75% and 21.13%. The low errors when transferring the models from shaker to reactor and between the DoE and the iDoE approach highlight the suitability of hybrid modeling for mammalian cell culture bioprocess development and the potential of iDoE to accelerate process characterization and to improve process understanding.
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Affiliation(s)
- Benjamin Bayer
- Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.,Novasign GmbH, Vienna, Austria
| | - Mark Duerkop
- Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.,Novasign GmbH, Vienna, Austria
| | - Gerald Striedner
- Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Austria.,Novasign GmbH, Vienna, Austria
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31
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Salim T, Chauhan G, Templeton N, Ling WLW. Using MVDA with stoichiometric balances to optimize amino acid concentrations in chemically defined CHO cell culture medium for improved culture performance. Biotechnol Bioeng 2021; 119:452-469. [PMID: 34811720 DOI: 10.1002/bit.27998] [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: 07/02/2021] [Revised: 10/22/2021] [Accepted: 11/13/2021] [Indexed: 11/07/2022]
Abstract
Chemically defined (CD) media are routinely used in the production of biologics in Chinese hamster ovary (CHO) cell culture and provide enhanced raw material control. Nutrient optimized CD media is an important path to increase cell growth and monoclonal antibody (mAb) productivity in recombinant CHO cell lines. However, nutrient optimization efforts for CD media typically rely on multifactorial and experimental design of experiment approaches or complex mathematical models of cellular metabolism or gene expression systems. Moreover, the majority of these efforts are aimed at amino acids since they constitute essential nutrients in CD media as they directly contribute to biomass and protein production. In this study, we demonstrate the utilization of multivariate data analytics (MVDA) coupled with amino acid stoichiometric balances (SBs) to increased cell growth and mAb productivity in efforts to support CD media development efforts. SBs measure the difference between theoretical demand of amino acids and the empirically measured fluxes to identify various catabolic or anabolic states of the cell. When coupled with MVDA, the statistical models were not only able to highlight key amino acids toward cell growth or productivity, but also provided direction on metabolic favorability of the amino acid. Experimental validation of our approach resulted in a 55% increase in total cell growth and about an 80% increase in total mAb productivity. Increased specific consumption of stoichiometrically balanced amino acids and decreased specific consumption of glucose was also observed in optimized CD media suggesting favorable consumption of desired nutrients and a potential for energy redistribution toward increased cellular growth and mAb productivity.
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Affiliation(s)
- Taha Salim
- Merck & Co. Inc., Kenilworth, New Jersey, USA
- Taha Salim, Regeneron, Tarrytown, New York, USA
| | | | | | - Wai Lam W Ling
- Merck & Co. Inc., Kenilworth, New Jersey, USA
- Wai L. W. Ling, Rocket Pharma, Cranbury, New Jersey, USA
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32
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Xiao S, Ahmed W, Mohsin A, Guo M. Continuous Feeding Reduces the Generation of Metabolic Byproducts and Increases Antibodies Expression in Chinese Hamster Ovary-K1 Cells. Life (Basel) 2021; 11:life11090945. [PMID: 34575094 PMCID: PMC8469772 DOI: 10.3390/life11090945] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 08/13/2021] [Accepted: 08/19/2021] [Indexed: 11/16/2022] Open
Abstract
Chinese hamster ovary (CHO) cells are the most important host system used for monoclonal antibody (mAb) expression. Moreover, the fed-batch culture mode is the most widely used method to increase mAb expression in CHO cells by increasing the amount of feed. However, a high amount of culture feed results in the production of metabolic byproducts. In this work, we used a continuous feeding strategy to reduce metabolic byproducts and improve mouse–human chimeric anti-epidermal growth factor receptor vIII (EGFRvIII) antibody C12 expression in Chinese hamster ovary-K1 cells. Moreover, the effects of the feeding strategy on the cell culture and monoclonal antibody production were evaluated in chemically defined suspension cultures of recombinant CHO-K1 cells. Compared with bolus feeding methods, the continuous feeding method did not have any advantages when the feeding amount was low, but with a high feeding amount, the continuous feeding method significantly reduced the concentrations of lactate and NH4+ in the later culture stage. At the end of the culture stage, compared with bolus feeding methods, the lactate and NH4+ concentrations under the continuous feeding mode were reduced by approximately 45% and 80%, respectively. In addition, the antibody C12 expression level was also increased by almost 10%. Compared to the bolus feeding method, the antibody C12 produced by the continuous feeding method had a lower content of high-mannose glycoforms. Further analysis found that the osmolality of the continuous feeding method was lower than that of the typical fed-batch bolus feeding method. Conclusively, these results indicate that the continuous feeding method is very useful for reducing metabolic byproducts and achieving higher levels of mAb production.
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33
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Reardon KF. Practical monitoring technologies for cells and substrates in biomanufacturing. Curr Opin Biotechnol 2021; 71:225-230. [PMID: 34482018 DOI: 10.1016/j.copbio.2021.08.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 08/01/2021] [Accepted: 08/06/2021] [Indexed: 01/01/2023]
Abstract
Precise control over bioreactor operation is desired for optimal productivity and product quality, and there is an increased drive to automation in biomanufacturing. All of these goals require sensors, not only of the basic parameters of temperature, pH, and dissolved oxygen, but of the biomass and substrate concentrations, which directly determine the outcome of the bioprocess. While there are many innovative sensing concepts for biomass and substrate concentrations, this review focuses on sensors that are in-line with the bioreactor, providing data continuously without the removal of sample from the system. The discussion emphasizes the requirements of industry for these sensors, including performance, ease of use, and cost. As the bioeconomy grows, advances in sensing technologies will be needed to achieve the automation of the future for a wider array of bioreactors.
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Affiliation(s)
- Kenneth F Reardon
- Department of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO, USA; OptiEnz Sensors LLC, Fort Collins, CO, USA.
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34
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Klaubert SR, Chitwood DG, Dahodwala H, Williamson M, Kasper R, Lee KH, Harcum SW. Method to transfer Chinese hamster ovary (CHO) batch shake flask experiments to large-scale, computer-controlled fed-batch bioreactors. Methods Enzymol 2021; 660:297-320. [PMID: 34742394 DOI: 10.1016/bs.mie.2021.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Chinese hamster ovary (CHO) cell cultures in industry are most commonly conducted as fed-batch cultures in computer-controlled bioreactors, though most preliminary studies are conducted in fed-batch shake flasks. To improve comparability between bioreactor studies and shake flask studies, shake flask studies should be conducted as fed-batch. However, the smaller volumes and reduced control in shake flasks can impact pH and aeration, which leads to performance differences. Planning and awareness of these vessel and control differences can assist with experimental design as well as troubleshooting. This method will highlight several of the configuration and control issues that should be considered during the transitions from batch to fed-batch and shake flasks to bioreactors, as well as approaches to mitigate the differences. Furthermore, if significant differences occur between bioreactor and shake flask studies, approaches will be presented to isolate the main contributors for these differences.
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Affiliation(s)
- Stephanie R Klaubert
- Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC, United States
| | - Dylan G Chitwood
- Department of Bioengineering, Clemson University, 301 Rhodes Research Center, Clemson, SC, United States
| | - Hussain Dahodwala
- National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL), Newark, DE, United States
| | - Madison Williamson
- Department of Bioengineering, Clemson University, 301 Rhodes Research Center, Clemson, SC, United States
| | - Rachel Kasper
- Department of Bioengineering, Clemson University, 301 Rhodes Research Center, Clemson, SC, United States
| | - Kelvin H Lee
- Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, United States; Chemical and Biomolecular Engineering, University of Delaware, Newark, DE, United States
| | - Sarah W Harcum
- Department of Bioengineering, Clemson University, 301 Rhodes Research Center, Clemson, SC, United States.
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35
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Synoground BF, McGraw CE, Elliott KS, Leuze C, Roth JR, Harcum SW, Sandoval NR. Transient ammonia stress on Chinese hamster ovary (CHO) cells yield alterations to alanine metabolism and IgG glycosylation profiles. Biotechnol J 2021; 16:e2100098. [PMID: 34014036 DOI: 10.1002/biot.202100098] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 04/29/2021] [Accepted: 05/11/2021] [Indexed: 01/21/2023]
Abstract
BACKGROUND Ammonia concentrations typically increase during mammalian cell cultures, mainly due to glutamine and other amino acid consumption. An early ammonia stress indicator is a metabolic shift with respect to alanine. To determine the underlying mechanisms of this metabolic shift, a Chinese hamster ovary (CHO) cell line with two distinct ages (standard and young) was cultured in parallel fed-batch bioreactors with 0 mM or 10 mM ammonia added at 12 h. Reduced viable cell densities were observed for the stressed cells, while viability was not significantly affected. The stressed cultures had higher alanine, lactate, and glutamate accumulation. Interestingly, the ammonia concentrations were similar by Day 8.5 for all cultures. We hypothesized the ammonia was converted to alanine as a coping mechanism. Interestingly, no significant differences were observed for metabolite profiles due to cell age. Glycosylation analysis showed the ammonia stress reduced galactosylation, sialylation, and fucosylation. Transcriptome analysis of the standard-aged cultures indicated the ammonia stress had a limited impact on the transcriptome, where few of the significant changes were directly related metabolite or glycosylation reactions. These results indicate that mechanisms used to alleviate ammonia stress are most likely controlled post-transcriptionally, and this is where future research should focus.
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Affiliation(s)
| | - Claire E McGraw
- Department of Chemical and Biomolecular Engineering, Tulane University, New Orleans, Louisiana, USA
| | - Kathryn S Elliott
- Department of Bioengineering, Clemson University, Clemson, South Carolina, USA
| | - Christina Leuze
- Department of Bioengineering, Clemson University, Clemson, South Carolina, USA.,Department of Molecular Biotechnology, Heidelberg University, Heidelberg, Germany
| | - Jada R Roth
- Department of Chemical and Biomolecular Engineering, Tulane University, New Orleans, Louisiana, USA
| | - Sarah W Harcum
- Department of Bioengineering, Clemson University, Clemson, South Carolina, USA
| | - Nicholas R Sandoval
- Department of Chemical and Biomolecular Engineering, Tulane University, New Orleans, Louisiana, USA
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36
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Pérez-Rodriguez S, Ramírez-Lira MDJ, Trujillo-Roldán MA, Valdez-Cruz NA. Nutrient supplementation strategy improves cell concentration and longevity, monoclonal antibody production and lactate metabolism of Chinese hamster ovary cells. Bioengineered 2021; 11:463-471. [PMID: 32223359 PMCID: PMC7161567 DOI: 10.1080/21655979.2020.1744266] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
A careful selection of culture mediums and feeds has become necessary to maximize yields of recombinant proteins during bioprocesses of mammalian cells. Supplements contain a variety of concentrate nutrients, and their beneficial effects vary according to recombinant cell lines. In this study, the effects of PowerFeed A on growth kinetics, productivity and cellular metabolism were evaluated for two Chinese hamster ovary cell lines producing a monoclonal antibody in a batch culture. Supplemented cultures increased integral viable cell density of CRL-12444 and CRL-12445 cells by 2.4 and 1.6 times through extension of culture time at which viability was above 90% in 72 and 36 h, respectively, and increment of maximal cell concentration in 3.25 × 106 cells/ml (69%) for CRL-12445 cells. Product titer augmented 1.9 and 2.5 times for CRL-12444 and CRL-12445 cells, respectively, without changes in growth rate and specific productivity. Feed supplementation also stimulated full consumption of glucose and free glutamine and reduced 10 times lactate accumulation, while ammonium, sodium and potassium remained at similar concentrations at the end of the culture. About 44% of calcium, mainly provided by feed, was consumed by both cell lines. Maximization of cellular growth, viability and protein titer through feeding encourages extending its use to other cell lines and exploring novel combinations with other basal mediums or feeds. A thorough investigation of its impact on protein quality and the molecular mechanisms behind these effects will allow designing effective feeds and strategies to rationally optimize protein production in the biomanufacturing industry.
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Affiliation(s)
- Saumel Pérez-Rodriguez
- Programa de Investigación de Producción de Biomoléculas, Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Coyoacán, Ciudad De México, México
| | - María de Jesús Ramírez-Lira
- Programa de Investigación de Producción de Biomoléculas, Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Coyoacán, Ciudad De México, México
| | - Mauricio A Trujillo-Roldán
- Programa de Investigación de Producción de Biomoléculas, Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Coyoacán, Ciudad De México, México
| | - Norma A Valdez-Cruz
- Programa de Investigación de Producción de Biomoléculas, Departamento de Biología Molecular y Biotecnología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Coyoacán, Ciudad De México, México
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37
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Štor J, Ruckerbauer DE, Széliová D, Zanghellini J, Borth N. Towards rational glyco-engineering in CHO: from data to predictive models. Curr Opin Biotechnol 2021; 71:9-17. [PMID: 34048995 DOI: 10.1016/j.copbio.2021.05.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 04/26/2021] [Accepted: 05/07/2021] [Indexed: 12/22/2022]
Abstract
Metabolic modelling strives to develop modelling approaches that are robust and highly predictive. To achieve this, various modelling designs, including hybrid models, and parameter estimation methods that define the type and number of parameters used in the model, are adapted. Accurate input data play an important role so that the selection of experimental methods that provide input data of the required precision with low measurement errors is crucial. For the biopharmaceutically relevant protein glycosylation, the most prominent available models are kinetic models which are able to capture the dynamic nature of protein N-glycosylation. In this review we focus on how to choose the most suitable model for a specific research question, as well as on parameters and considerations to take into account before planning relevant experiments.
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Affiliation(s)
- Jerneja Štor
- Department of Biotechnology, University of Natural Resources and Life Sciences Vienna, A-1190 Vienna, Austria; acib - Austrian Centre of Industrial Biotechnology, A-8010 Graz, Austria
| | - David E Ruckerbauer
- acib - Austrian Centre of Industrial Biotechnology, A-8010 Graz, Austria; Department of Analytical Chemistry, University of Vienna, A-1090 Vienna, Austria
| | - Diana Széliová
- acib - Austrian Centre of Industrial Biotechnology, A-8010 Graz, Austria; Department of Analytical Chemistry, University of Vienna, A-1090 Vienna, Austria
| | - Jürgen Zanghellini
- acib - Austrian Centre of Industrial Biotechnology, A-8010 Graz, Austria; Department of Analytical Chemistry, University of Vienna, A-1090 Vienna, Austria.
| | - Nicole Borth
- Department of Biotechnology, University of Natural Resources and Life Sciences Vienna, A-1190 Vienna, Austria; acib - Austrian Centre of Industrial Biotechnology, A-8010 Graz, Austria.
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38
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Zhang L, Wang M, Castan A, Hjalmarsson H, Chotteau V. Probabilistic model by Bayesian network for the prediction of antibody glycosylation in perfusion and fed-batch cell cultures. Biotechnol Bioeng 2021; 118:3447-3459. [PMID: 33788254 DOI: 10.1002/bit.27769] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 03/05/2021] [Accepted: 03/12/2021] [Indexed: 01/01/2023]
Abstract
Glycosylation is a critical quality attribute of therapeutic monoclonal antibodies (mAbs). The glycan pattern can have a large impact on the immunological functions, serum half-life and stability. The medium components and cultivation parameters are known to potentially influence the glycosylation profile. Mathematical modelling provides a strategy for rational design and control of the upstream bioprocess. However, the kinetic models usually contain a very large number of unknown parameters, which limit their practical applications. In this article, we consider the metabolic network of N-linked glycosylation as a Bayesian network (BN) and calculate the fluxes of the glycosylation process as joint probability using the culture parameters as inputs. The modelling approach is validated with data of different Chinese hamster ovary cell cultures in pseudo perfusion, perfusion, and fed batch cultures, all showing very good predictive capacities. In cases where a large number of cultivation parameters is available, it is shown here that principal components analysis can efficiently be employed for a dimension reduction of the inputs compared to Pearson correlation analysis and feature importance by decision tree. The present study demonstrates that BN model can be a powerful tool in upstream process and medium development for glycoprotein productions.
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Affiliation(s)
- Liang Zhang
- Department of Industrial Biotechnology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden.,AdBIOPRO, VINNOVA Competence Centre for Advanced Bioproduction by Continuous Processing, KTH Royal Institute of Technology, Stockholm, Sweden
| | - MingLiang Wang
- AdBIOPRO, VINNOVA Competence Centre for Advanced Bioproduction by Continuous Processing, KTH Royal Institute of Technology, Stockholm, Sweden.,Division of Decision and Control System, School of Electrical Engineering and Computer Science, KTH-Royal Institute of Technology, Stockholm, Sweden
| | | | - Håkan Hjalmarsson
- AdBIOPRO, VINNOVA Competence Centre for Advanced Bioproduction by Continuous Processing, KTH Royal Institute of Technology, Stockholm, Sweden.,Division of Decision and Control System, School of Electrical Engineering and Computer Science, KTH-Royal Institute of Technology, Stockholm, Sweden.,Digital Futures - KTH Royal Institute of Technology, Stockholm, Sweden
| | - Veronique Chotteau
- Department of Industrial Biotechnology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH-Royal Institute of Technology, Stockholm, Sweden.,AdBIOPRO, VINNOVA Competence Centre for Advanced Bioproduction by Continuous Processing, KTH Royal Institute of Technology, Stockholm, Sweden.,Digital Futures - KTH Royal Institute of Technology, Stockholm, Sweden
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39
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Combe M, Sokolenko S. Quantifying the impact of cell culture media on CHO cell growth and protein production. Biotechnol Adv 2021; 50:107761. [PMID: 33945850 DOI: 10.1016/j.biotechadv.2021.107761] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 04/22/2021] [Accepted: 04/24/2021] [Indexed: 10/21/2022]
Abstract
In recombinant protein production, cell culture media development and optimization is typically seen as a useful strategy to increase titer and cell density, reduce by-products, as well as improve product quality (with cell density and titer often serving as the primary reported outcome of media studies). However, despite the large number of media optimization studies, there have been few attempts to comprehensively assess the overall effectiveness of media additives. The aim of this review is therefore both to document published media optimization studies over the last twenty years (in the context of Chinese hamster ovary cell recombinant production) and quantitatively estimate the impact of this media optimization on cell culture performance. In considering 78 studies, we have identified 238 unique media components that have been supplemented over the last 20 years. Among these additives, trace elements stood out as having a positive impact on cell density while nucleotides show potential for increasing titer, with commercial supplements benefiting both. However, we also identified that the impact of specific additives is far more variable than often perceived. With relatively few media studies considering multiple cell lines or multiple basal media, teasing out consistent and general trends becomes a considerable challenge. By extracting cell density and titer values from all of the reviewed studies, we were able to build a mixed-effect model capable of estimating the relative impact of additives, cell line, product type, basal medium, cultivation method (flask or reactor), and feeding strategy (batch or fed-batch). Overall, additives only accounted for 3% of the variation in cell density and 1% of the variation in titer. Similarly, the impact of basal media was also relatively modest, at 10% for cell density and 0% for titer. Cell line, product type, and feeding strategy were all found to have more impact. These results emphasize the need for media studies to consider more factors to ensure that reported observations can be generalized and further developed.
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Affiliation(s)
- Michelle Combe
- Department of Process Engineering and Applied Science, Dalhousie University, 1360 Barrington St., PO Box 15000, Halifax, NS B3H 4R2, Canada
| | - Stanislav Sokolenko
- Department of Process Engineering and Applied Science, Dalhousie University, 1360 Barrington St., PO Box 15000, Halifax, NS B3H 4R2, Canada.
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40
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Aki Y, Katsumata Y, Kakihara H, Nonaka K, Fujiwara K. 4-(2,5-Dimethyl-1H-pyrrol-1-yl)-N-(2,5-dioxopyrrolidin-1-yl) benzamide improves monoclonal antibody production in a Chinese hamster ovary cell culture. PLoS One 2021; 16:e0250416. [PMID: 33886677 PMCID: PMC8061942 DOI: 10.1371/journal.pone.0250416] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 04/06/2021] [Indexed: 01/15/2023] Open
Abstract
There is a continuous demand to improve monoclonal antibody production for medication supply and medical cost reduction. For over 20 years, recombinant Chinese hamster ovary cells have been used as a host in monoclonal antibody production due to robustness, high productivity and ability to produce proteins with ideal glycans. Chemical compounds, such as dimethyl sulfoxide, lithium chloride, and butyric acid, have been shown to improve monoclonal antibody production in mammalian cell cultures. In this study, we aimed to discover new chemical compounds that can improve cell-specific antibody production in recombinant Chinese hamster ovary cells. Out of the 23,227 chemicals screened in this study, 4-(2,5-dimethyl-1H-pyrrol-1-yl)-N-(2,5-dioxopyrrolidin-1-yl) benzamide was found to increase monoclonal antibody production. The compound suppressed cell growth and increased both cell-specific glucose uptake rate and the amount of intracellular adenosine triphosphate during monoclonal antibody production. In addition, the compound also suppressed the galactosylation on a monoclonal antibody, which is a critical quality attribute of therapeutic monoclonal antibodies. Therefore, the compound might also be used to control the level of the galactosylation for the N-linked glycans. Further, the structure-activity relationship study revealed that 2,5-dimethylpyrrole was the most effective partial structure of 4-(2,5-dimethyl-1H-pyrrol-1-yl)-N-(2,5-dioxopyrrolidin-1-yl) benzamide on monoclonal antibody production. Further structural optimization of 2,5-dimethylpyrrole derivatives could lead to improved production and quality control of monoclonal antibodies.
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Affiliation(s)
- Yuichi Aki
- Biologics Division, Biologics Technology Research Laboratories, Daiichi Sankyo Co., Ltd., Chiyoda-machi, Gunma, Japan
- Department of Life Science, Akita University, Tegata Gakuen-machi, Akita, Japan
- * E-mail:
| | - Yuta Katsumata
- Biologics Division, Biologics Technology Research Laboratories, Daiichi Sankyo Co., Ltd., Chiyoda-machi, Gunma, Japan
| | - Hirofumi Kakihara
- Biologics Division, Biologics Technology Research Laboratories, Daiichi Sankyo Co., Ltd., Chiyoda-machi, Gunma, Japan
| | - Koichi Nonaka
- Biologics Division, Biologics Technology Research Laboratories, Daiichi Sankyo Co., Ltd., Chiyoda-machi, Gunma, Japan
| | - Kenshu Fujiwara
- Department of Life Science, Akita University, Tegata Gakuen-machi, Akita, Japan
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41
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Strasser L, Farrell A, Ho JTC, Scheffler K, Cook K, Pankert P, Mowlds P, Viner R, Karger BL, Bones J. Proteomic Profiling of IgG1 Producing CHO Cells Using LC/LC-SPS-MS 3: The Effects of Bioprocessing Conditions on Productivity and Product Quality. Front Bioeng Biotechnol 2021; 9:569045. [PMID: 33898396 PMCID: PMC8062983 DOI: 10.3389/fbioe.2021.569045] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 03/19/2021] [Indexed: 12/12/2022] Open
Abstract
The biopharmaceutical market is dominated by monoclonal antibodies, the majority of which are produced in Chinese hamster ovary (CHO) cell lines. Intense cell engineering, in combination with optimization of various process parameters results in increasing product titers. To enable further improvements in manufacturing processes, detailed information about how certain parameters affect cellular mechanisms in the production cells, and thereby also the expressed drug substance, is required. Therefore, in this study the effects of commonly applied changes in bioprocessing parameters on an anti-IL8 IgG1 producing CHO DP-12 cell line were investigated on the level of host cell proteome expression combined with product quality assessment of the expressed IgG1 monoclonal antibody. Applying shifts in temperature, pH and dissolved oxygen concentration, respectively, resulted in altered productivity and product quality. Furthermore, analysis of the cells using two-dimensional liquid chromatography-mass spectrometry employing tandem mass tag based isotopic quantitation and synchronous precursor selection-MS3 detection revealed substantial changes in the protein expression profiles of CHO cells. Pathway analysis indicated that applied bioprocessing conditions resulted in differential activation of oxidative phosphorylation. Additionally, activation of ERK5 and TNFR1 signaling suggested an affected cell cycle. Moreover, in-depth product characterization by means of charge variant analysis, peptide mapping, as well as structural and functional analysis, revealed posttranslational and structural changes in the expressed drug substance. Taken together, the present study allows the conclusion that, in anti-IL8 IgG1 producing CHO DP-12 cells, an improved energy metabolism achieved by lowering the cell culture pH is favorable when aiming towards high antibody production rates while maintaining product quality.
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Affiliation(s)
- Lisa Strasser
- Characterization and Comparability Laboratory, National Institute for Bioprocessing Research and Training, Dublin, Ireland
| | - Amy Farrell
- Characterization and Comparability Laboratory, National Institute for Bioprocessing Research and Training, Dublin, Ireland
| | - Jenny T C Ho
- Thermo Fisher Scientific, Hemel Hempstead, United Kingdom
| | | | - Ken Cook
- Thermo Fisher Scientific, Hemel Hempstead, United Kingdom
| | | | - Peter Mowlds
- Thermo Fisher Scientific, Hemel Hempstead, United Kingdom
| | - Rosa Viner
- Thermo Fisher Scientific, San Jose, CA, United States
| | - Barry L Karger
- Barnett Institute of Chemical and Biological Analysis, Northeastern University, Boston, MA, United States
| | - Jonathan Bones
- School of Chemical and Bioprocess Engineering, University College Dublin, Dublin, Ireland
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42
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Lin MW, Shen CC, Lin YJ, Chou MY, Pham NN, Chang YH, Chang CW, Hwu JR, Nguyen MTT, Hu YC. Enhancing the yield and activity of defucosylated antibody produced by CHO-K1 cells using Cas13d-mediated multiplex gene targeting. J Taiwan Inst Chem Eng 2021. [DOI: 10.1016/j.jtice.2021.03.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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43
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Li W, Fan Z, Lin Y, Wang TY. Serum-Free Medium for Recombinant Protein Expression in Chinese Hamster Ovary Cells. Front Bioeng Biotechnol 2021; 9:646363. [PMID: 33791287 PMCID: PMC8006267 DOI: 10.3389/fbioe.2021.646363] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 02/17/2021] [Indexed: 01/08/2023] Open
Abstract
At present, nearly 70% of recombinant therapeutic proteins (RTPs) are produced by Chinese hamster ovary (CHO) cells, and serum-free medium (SFM) is necessary for their culture to produce RTPs. In this review, the history and key components of SFM are first summarized, and its preparation and experimental design are described. Some small molecule compound additives can improve the yield and quality of RTP. The function and possible mechanisms of these additives are also reviewed here. Finally, the future perspectives of SFM use with CHO cells for RTP production are discussed.
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Affiliation(s)
- Weifeng Li
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, China
| | - Zhenlin Fan
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang, China
| | - Yan Lin
- International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang, China
| | - Tian-Yun 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 Medical University, Xinxiang, China
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44
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Schinn SM, Morrison C, Wei W, Zhang L, Lewis NE. A genome-scale metabolic network model and machine learning predict amino acid concentrations in Chinese Hamster Ovary cell cultures. Biotechnol Bioeng 2021; 118:2118-2123. [PMID: 33580712 DOI: 10.1002/bit.27714] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 11/25/2020] [Accepted: 02/03/2021] [Indexed: 01/11/2023]
Abstract
The control of nutrient availability is critical to large-scale manufacturing of biotherapeutics. However, the quantification of proteinogenic amino acids is time-consuming and thus is difficult to implement for real-time in situ bioprocess control. Genome-scale metabolic models describe the metabolic conversion from media nutrients to proliferation and recombinant protein production, and therefore are a promising platform for in silico monitoring and prediction of amino acid concentrations. This potential has not been realized due to unresolved challenges: (1) the models assume an optimal and highly efficient metabolism, and therefore tend to underestimate amino acid consumption, and (2) the models assume a steady state, and therefore have a short forecast range. We address these challenges by integrating machine learning with the metabolic models. Through this we demonstrate accurate and time-course dependent prediction of individual amino acid concentration in culture medium throughout the production process. Thus, these models can be deployed to control nutrient feeding to avoid premature nutrient depletion or provide early predictions of failed bioreactor runs.
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Affiliation(s)
- Song-Min Schinn
- Department of Pediatrics, University of California, San Diego, California, USA
| | - Carly Morrison
- Pfizer, Biotherapeutics Pharmaceutical Sciences, Andover, Massachusetts, USA
| | | | - Lin Zhang
- Pfizer, Biotherapeutics Pharmaceutical Sciences, Andover, Massachusetts, USA
| | - Nathan E Lewis
- Department of Pediatrics, University of California, San Diego, California, USA.,Department of Bioengineering, University of California, San Diego, California, USA.,Novo Nordisk Foundation Center for Biosustainability at UC San Diego, San Diego, California, USA
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45
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Kaur H. Characterization of glycosylation in monoclonal antibodies and its importance in therapeutic antibody development. Crit Rev Biotechnol 2021; 41:300-315. [PMID: 33430641 DOI: 10.1080/07388551.2020.1869684] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Glycosylation is one of the structurally diverse and complex forms of post translational modifications observed in proteins which influence the effector functions of IgG-Fc. Although the glycosylation constitutes 2-3% of the total mass of the IgG antibody, a thorough assessment of glycoform distribution present on the antibody is a critical quality attribute (cQA) for the majority of novel and biosimilar monoclonal antibody (mAb) development. This review paper will highlight the impact of different glycoforms such as galactose, fucose, high mannose, NANA (N-acetylneuraminic acid), and NGNA (N-glycoylneuraminic acid) on the safety/immunogeneicity, efficacy/biological activity and clearance (pharmacodynamics/pharmacokinetic property (PD/PK)) of biological molecules. In addition, this paper will summarize routinely employed reliable analytical techniques such as hydrophilic interaction chromatography (HILIC), high performance anion exchange chromatography with pulsed amperometric detection (HPAEC-PAD) and mass spectrometry (MS) for characterizing and monitoring glycosylation in monoclonal antibodies (mAbs). The advantages and disadvantages of each of the methods are addressed. The scope of this review paper is limited to only N-linked and O-linked glycosylation.
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Affiliation(s)
- Harleen Kaur
- Analytical Sciences, Aurobindo Biologics, Hyderabad, India
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46
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Chitwood DG, Wang Q, Elliott K, Bullock A, Jordana D, Li Z, Wu C, Harcum SW, Saski CA. Characterization of metabolic responses, genetic variations, and microsatellite instability in ammonia-stressed CHO cells grown in fed-batch cultures. BMC Biotechnol 2021; 21:4. [PMID: 33419422 PMCID: PMC7791692 DOI: 10.1186/s12896-020-00667-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 12/11/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND As bioprocess intensification has increased over the last 30 years, yields from mammalian cell processes have increased from 10's of milligrams to over 10's of grams per liter. Most of these gains in productivity can be attributed to increasing cell densities within bioreactors. As such, strategies have been developed to minimize accumulation of metabolic wastes, such as lactate and ammonia. Unfortunately, neither cell growth nor biopharmaceutical production can occur without some waste metabolite accumulation. Inevitably, metabolic waste accumulation leads to decline and termination of the culture. While it is understood that the accumulation of these unwanted compounds imparts a suboptimal culture environment, little is known about the genotoxic properties of these compounds that may lead to global genome instability. In this study, we examined the effects of high and moderate extracellular ammonia on the physiology and genomic integrity of Chinese hamster ovary (CHO) cells. RESULTS Through whole genome sequencing, we discovered 2394 variant sites within functional genes comprised of both single nucleotide polymorphisms and insertion/deletion mutations as a result of ammonia stress with high or moderate impact on functional genes. Furthermore, several of these de novo mutations were found in genes whose functions are to maintain genome stability, such as Tp53, Tnfsf11, Brca1, as well as Nfkb1. Furthermore, we characterized microsatellite content of the cultures using the CriGri-PICR Chinese hamster genome assembly and discovered an abundance of microsatellite loci that are not replicated faithfully in the ammonia-stressed cultures. Unfaithful replication of these loci is a signature of microsatellite instability. With rigorous filtering, we found 124 candidate microsatellite loci that may be suitable for further investigation to determine whether these loci may be reliable biomarkers to predict genome instability in CHO cultures. CONCLUSION This study advances our knowledge with regards to the effects of ammonia accumulation on CHO cell culture performance by identifying ammonia-sensitive genes linked to genome stability and lays the foundation for the development of a new diagnostic tool for assessing genome stability.
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Affiliation(s)
- Dylan G Chitwood
- Department of Bioengineering, College of Engineering, Computing and Applied Sciences, Clemson University, Clemson, SC, 29634, USA
| | - Qinghua Wang
- Center for Bioinformatics & Computational Biology, University of Delaware, Newark, DE, 19716, USA
| | - Kathryn Elliott
- Department of Bioengineering, College of Engineering, Computing and Applied Sciences, Clemson University, Clemson, SC, 29634, USA
| | - Aiyana Bullock
- Department of Biological Sciences, College of Agriculture, Science & Technology, Delaware State University, Dover, DE, 19901, USA
| | - Dwon Jordana
- Department of Biological Sciences, Grambling State University, Grambling, LA, 71245, USA
| | - Zhigang Li
- Department of Plant and Environmental Sciences, College of Agriculture, Forestry and Life Sciences, Clemson University, Clemson, SC, 29634, USA
| | - Cathy Wu
- Center for Bioinformatics & Computational Biology, University of Delaware, Newark, DE, 19716, USA
| | - Sarah W Harcum
- Department of Bioengineering, College of Engineering, Computing and Applied Sciences, Clemson University, Clemson, SC, 29634, USA
| | - Christopher A Saski
- Department of Plant and Environmental Sciences, College of Agriculture, Forestry and Life Sciences, Clemson University, Clemson, SC, 29634, USA.
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Uhler R, Popa-Wagner R, Kröning M, Brehm A, Rennert P, Seifried A, Peschke M, Krieger M, Kohla G, Kannicht C, Wiedemann P, Hafner M, Rosenlöcher J. Glyco-engineered HEK 293-F cell lines for the production of therapeutic glycoproteins with human N-glycosylation and improved pharmacokinetics. Glycobiology 2021; 31:859-872. [PMID: 33403396 DOI: 10.1093/glycob/cwaa119] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 11/25/2020] [Accepted: 12/18/2020] [Indexed: 12/15/2022] Open
Abstract
N-glycosylated proteins produced in human embryonic kidney 293 (HEK 293) cells often carry terminal N-acetylgalactosamine (GalNAc) and only low levels of sialylation. On therapeutic proteins, such N-glycans often trigger rapid clearance from the patient bloodstream via efficient binding to asialoglycoprotein receptor (ASGP-R) and mannose receptor (MR). This currently limits the use of HEK 293 cells for therapeutic protein production. To eliminate terminal GalNAc, we knocked-out GalNAc transferases B4GALNT3 and B4GALNT4 by CRISPR/Cas9 in FreeStyle 293-F cells. The resulting cell line produced a coagulation factor VII-albumin fusion protein without GalNAc but with increased sialylation. This glyco-engineered protein bound less efficiently to both the ASGP-R and MR in vitro and it showed improved recovery, terminal half-life and area under the curve in pharmacokinetic rat experiments. By overexpressing sialyltransferases ST6GAL1 and ST3GAL6 in B4GALNT3 and B4GALNT4 knock-out cells, we further increased factor VII-albumin sialylation; for ST6GAL1 even to the level of human plasma-derived factor VII. Simultaneous knock-out of B4GALNT3 and B4GALNT4, and overexpression of ST6GAL1 further lowered factor VII-albumin binding to ASGP-R and MR. This novel glyco-engineered cell line is well-suited for the production of factor VII-albumin and presumably other therapeutic proteins with fully human N-glycosylation and superior pharmacokinetic properties.
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Affiliation(s)
- Rico Uhler
- Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, 68163 Mannheim, Germany.,Octapharma Biopharmaceuticals GmbH, 69120 Heidelberg, Germany
| | | | - Mario Kröning
- Octapharma Biopharmaceuticals GmbH, 12489 Berlin, Germany
| | - Anja Brehm
- Octapharma Biopharmaceuticals GmbH, 12489 Berlin, Germany
| | - Paul Rennert
- Octapharma Biopharmaceuticals GmbH, 12489 Berlin, Germany
| | | | | | - Markus Krieger
- Octapharma Biopharmaceuticals GmbH, 69120 Heidelberg, Germany
| | - Guido Kohla
- Octapharma Biopharmaceuticals GmbH, 12489 Berlin, Germany
| | - Christoph Kannicht
- Octapharma Biopharmaceuticals GmbH, 69120 Heidelberg, Germany.,Octapharma Biopharmaceuticals GmbH, 12489 Berlin, Germany
| | - Philipp Wiedemann
- Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, 68163 Mannheim, Germany
| | - Mathias Hafner
- Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, 68163 Mannheim, Germany.,Institute for Medical Technology, University Heidelberg and the Mannheim University of Applied Sciences, 68163 Mannheim, Germany
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48
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Abstract
Changes in immunoglobulin G (IgG) glycosylation pattern have been observed in a vast array of auto- and alloimmune, infectious, cardiometabolic, malignant, and other diseases. This chapter contains an updated catalog of over 140 studies within which IgG glycosylation analysis was performed in a disease setting. Since the composition of IgG glycans is known to modulate its effector functions, it is suggested that a changed IgG glycosylation pattern in patients might be involved in disease development and progression, representing a predisposition and/or a functional effector in disease pathology. In contrast to the glycopattern of bulk serum IgG, which likely relates to the systemic inflammatory background, the glycosylation profile of antigen-specific IgG probably plays a direct role in disease pathology in several infectious and allo- and autoimmune antibody-dependent diseases. Depending on the specifics of any given disease, IgG glycosylation read-out might therefore in the future be developed into a useful clinical biomarker or a supplementary to currently used biomarkers.
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Affiliation(s)
- Marija Pezer
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia.
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49
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Khanal O, Lenhoff AM. Developments and opportunities in continuous biopharmaceutical manufacturing. MAbs 2021; 13:1903664. [PMID: 33843449 PMCID: PMC8043180 DOI: 10.1080/19420862.2021.1903664] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 02/25/2021] [Accepted: 03/11/2021] [Indexed: 12/12/2022] Open
Abstract
Today's biologics manufacturing practices incur high costs to the drug makers, which can contribute to high prices for patients. Timely investment in the development and implementation of continuous biomanufacturing can increase the production of consistent-quality drugs at a lower cost and a faster pace, to meet growing demand. Efficient use of equipment, manufacturing footprint, and labor also offer the potential to improve drug accessibility. Although technological efforts enabling continuous biomanufacturing have commenced, challenges remain in the integration, monitoring, and control of traditionally segmented unit operations. Here, we discuss recent developments supporting the implementation of continuous biomanufacturing, along with their benefits.
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Affiliation(s)
- Ohnmar Khanal
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE
| | - Abraham M. Lenhoff
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE
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50
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Effect of Sialic Acid on Mammalian Cell Culture and Protein Expression: A Potential Productivity Enhancer for Biopharmaceutical Cell Culture Processes. Processes (Basel) 2020. [DOI: 10.3390/pr8111449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Improved productivity of the two most commonly used cell lines in the biopharmaceutical industry, such as human embryonic kidney 293 (HEK293) and Chinese hamster ovary (CHO), could reduce production costs and increase manufacturing capacity. One method for increasing protein productivity is the addition of antioxidants during the cell culture process. In this study, we examined the effect of sialic acid (SA) on one HEK293 cell line and two CHO cell lines. The addition of SA to HEK293 cell led to a higher viable cell density (VCD), viability (Via), and a lower lactate content in the later stage of cultures. Further results showed that SA reduced the reactive oxygen species (ROS), improved cell viability, reduced lactate production, and increased antibody expression by more than 20% in the later stage of the two CHO cell lines cultures. Besides, an optimized dose of SA had no significant effect on acidic variants level aggregation level, N-linked glycosylation pattern, and SA content on antibodies. These results suggest that the addition of SA can improve the productivity of biopharmaceutical cell culture processes.
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