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Ito T, Lutz H, Tan L, Wang B, Tan J, Patel M, Chen L, Tsunakawa Y, Park B, Banerjee S. Host cell proteins in monoclonal antibody processing: Control, detection, and removal. Biotechnol Prog 2024:e3448. [PMID: 38477405 DOI: 10.1002/btpr.3448] [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: 10/30/2023] [Revised: 02/13/2024] [Accepted: 02/14/2024] [Indexed: 03/14/2024]
Abstract
Host cell proteins (HCPs) are process-related impurities in a therapeutic protein expressed using cell culture technology. This review presents biopharmaceutical industry trends in terms of both HCPs in the bioprocessing of monoclonal antibodies (mAbs) and the capabilities for HCP clearance by downstream unit operations. A comprehensive assessment of currently implemented and emerging technologies in the manufacturing processes with extensive references was performed. Meta-analyses of published downstream data were conducted to identify trends. Improved analytical methods and understanding of "high-risk" HCPs lead to more robust manufacturing processes and higher-quality therapeutics. The trend of higher cell density cultures leads to both higher mAb expression and higher HCP levels. However, HCP levels can be significantly reduced with improvements in operations, resulting in similar concentrations of approx. 10 ppm HCPs. There are no differences in the performance of HCP clearance between recent enhanced downstream operations and traditional batch processing. This review includes best practices for developing improved processes.
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Affiliation(s)
- Takao Ito
- Life Science, Process Solutions, Merck Ltd. (An Affiliate of Merck KGaA, Darmstadt, Germany), Tokyo, Japan
| | - Herb Lutz
- Independent Consultant, Sudbury, Massachusetts, USA
| | - Lihan Tan
- Life Science Services, Sigma-Aldrich Pte Ltd, Singapore, Singapore
| | - Bin Wang
- Life Science, Process Solutions, Merck Chemicals (Shanghai) Co. Ltd. (An Affiliate of Merck KGaA Darmstadt, Germany), Shanghai, China
| | - Janice Tan
- Life Science, Process Solutions, Merck Pte Ltd. (An Affiliate of Merck KGaA, Darmstadt, Germany), Singapore
| | - Masum Patel
- Life Science, Process Solutions, Merck Life Sciences Pvt. Ltd. (An Affiliate of Merck KGaA, Darmstadt, Germany), Bangalore, India
| | - Lance Chen
- Life Science, Process Solutions, Merck Pte Ltd. (An Affiliate of Merck KGaA, Darmstadt, Germany), Singapore
| | - Yuki Tsunakawa
- Life Science, Process Solutions, Merck Ltd. (An Affiliate of Merck KGaA, Darmstadt, Germany), Tokyo, Japan
| | - Byunghyun Park
- Life Science, Process Solutions, Merck Ltd. (An Affiliate of Merck KGaA, Darmstadt, Germany), Seoul, South Korea
| | - Subhasis Banerjee
- Life Science, Process Solutions, Merck Life Sciences Pvt. Ltd. (An Affiliate of Merck KGaA, Darmstadt, Germany), Bangalore, India
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Beattie JW, Istrate A, Lu A, Marshall C, Rowland-Jones RC, Farys M, Kazarian SG, Byrne B. Causes of Industrial Protein A Column Degradation, Explored Using Raman Spectroscopy. Anal Chem 2022; 94:15703-15710. [DOI: 10.1021/acs.analchem.2c03063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- James W. Beattie
- Department of Life Sciences, Imperial College London, LondonSW7 2AZ, United Kingdom
- Department of Chemical Engineering, Imperial College London, LondonSW7 2AZ, United Kingdom
| | - Alena Istrate
- Biopharm Process Research, Medicine Development & Supply, GSK R&D, Gunnels Wood Road, Stevenage, HertfordshireSG1 2NY, United Kingdom
| | - Annabelle Lu
- Department of Life Sciences, Imperial College London, LondonSW7 2AZ, United Kingdom
| | - Cameron Marshall
- Department of Life Sciences, Imperial College London, LondonSW7 2AZ, United Kingdom
| | - Ruth C. Rowland-Jones
- Biopharm Process Research, Medicine Development & Supply, GSK R&D, Gunnels Wood Road, Stevenage, HertfordshireSG1 2NY, United Kingdom
| | - Monika Farys
- Biopharm Process Research, Medicine Development & Supply, GSK R&D, Gunnels Wood Road, Stevenage, HertfordshireSG1 2NY, United Kingdom
| | - Sergei G. Kazarian
- Department of Chemical Engineering, Imperial College London, LondonSW7 2AZ, United Kingdom
| | - Bernadette Byrne
- Department of Life Sciences, Imperial College London, LondonSW7 2AZ, United Kingdom
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Improved Time Resolved KPI and Strain Characterization of Multiple Hosts in Shake Flasks Using Advanced Online Analytics and Data Science. BIOENGINEERING (BASEL, SWITZERLAND) 2022; 9:bioengineering9080339. [PMID: 35892752 PMCID: PMC9331495 DOI: 10.3390/bioengineering9080339] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 07/11/2022] [Accepted: 07/22/2022] [Indexed: 01/19/2023]
Abstract
Shake flasks remain one of the most widely used cultivation systems in biotechnology, especially for process development (cell line and parameter screening). This can be justified by their ease of use as well as their low investment and running costs. A disadvantage, however, is that cultivations in shake flasks are black box processes with reduced possibilities for recording online data, resulting in a lack of control and time-consuming, manual data analysis. Although different measurement methods have been developed for shake flasks, they lack comparability, especially when changing production organisms. In this study, the use of online backscattered light, dissolved oxygen, and pH data for characterization of animal, plant, and microbial cell culture processes in shake flasks are evaluated and compared. The application of these different online measurement techniques allows key performance indicators (KPIs) to be determined based on online data. This paper evaluates a novel data science workflow to automatically determine KPIs using online data from early development stages without human bias. This enables standardized and cost-effective process-oriented cell line characterization of shake flask cultivations to be performed in accordance with the process analytical technology (PAT) initiative. The comparison showed very good agreement between KPIs determined using offline data, manual techniques, and automatic calculations based on multiple signals of varying strengths with respect to the selected measurement signal.
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Hamaker NK, Min L, Lee KH. Comprehensive Assessment of Host Cell Protein Expression after Extended Culture and Bioreactor Production of CHO Cell Lines. Biotechnol Bioeng 2022; 119:2221-2238. [PMID: 35508759 DOI: 10.1002/bit.28128] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 04/19/2022] [Accepted: 04/21/2022] [Indexed: 11/12/2022]
Abstract
The biomanufacturing industry is advancing toward continuous processes that will involve longer culture durations and older cell ages. These upstream trends may bring unforeseen challenges for downstream purification due to fluctuations in host cell protein (HCP) levels. To understand the extent of HCP expression instability exhibited by Chinese hamster ovary (CHO) cells over these time scales, an industry-wide consortium collaborated to develop a study to characterize age-dependent changes in HCP levels across 30, 60, and 90 cell doublings, representing a period of approximately 60 days. A monoclonal antibody (mAb)-producing cell line with bulk productivity up to 3 g/L in a bioreactor was aged in parallel with its parental CHO-K1 host. Subsequently, both cell types at each age were cultivated in an automated bioreactor system to generate harvested cell culture fluid (HCCF) for HCP analysis. More than 1,500 HCPs were quantified using complementary proteomic techniques, two-dimensional electrophoresis (2DE) and liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). While up to 13% of proteins showed variable expression with age, more changes were observed when comparing between the two cell lines with up to 47% of HCPs differentially expressed. A small subset (50 HCPs) with age-dependent expression were previously reported to be problematic as high-risk and/or difficult-to-remove impurities; however, the vast majority of these were down-regulated with age. Our findings suggest that HCP expression changes over this time scale may not be as dramatic and pose as great of a challenge to downstream processing as originally expected but that monitoring of variably expressed problematic HCPs remains critical. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Nathaniel K Hamaker
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware
| | - Lie Min
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware
| | - Kelvin H Lee
- Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware
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Dovgan T, Golghalyani V, Zurlo F, Hatton D, Lindo V, Turner R, Harris C, Cui T. Targeted CHO cell engineering approaches can reduce HCP-related enzymatic degradation and improve mAb product quality. Biotechnol Bioeng 2021; 118:3821-3831. [PMID: 34125434 DOI: 10.1002/bit.27857] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 05/16/2021] [Accepted: 06/05/2021] [Indexed: 12/11/2022]
Abstract
Host cell proteins (HCP) that co-purify with biologics produced in Chinese hamster ovary cells have been shown to impact product quality through proteolytic degradation of recombinant proteins, leading to potential product losses. Several problematic HCPs can remain in the final product even after extensive purification. Each recombinant cell line has a unique HCP profile that can be determined by numerous upstream and downstream factors, including clonal variation and the protein sequence of the expressed therapeutic molecule. Here, we worked with recombinant cell lines with high levels of copurifying HCPs, and showed that in those cell lines even modest downregulation (≤50%) of the difficult to remove HCP Cathepsin D, through stable short hairpin RNA interference or monoallelic deletion of the target gene using CRISPR-Cas9, is sufficient to greatly reduce levels of co-purifying HCP as measured by high throughput targeted LC-MS. This reduction led to improved product quality by reducing fragmentation of the drug product in forced degradation studies to negligible levels. We also show the potential of cell engineering to target other undesired HCPs and relieve the burden on downstream purification.
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Affiliation(s)
- Tatiana Dovgan
- Cell Culture and Fermentation Sciences, BioPharmaceutical Development, BioPharmaceuticals R&D, Cambridge, AstraZeneca, UK.,Purification Process Sciences, BioPharmaceutical Development, BioPharmaceuticals R&D, Cambridge, AstraZeneca, UK
| | - Vahid Golghalyani
- Analytical Sciences, BioPharmaceutical Development, BioPharmaceuticals R&D, Cambridge, AstraZeneca, UK
| | - Fabio Zurlo
- Cell Culture and Fermentation Sciences, BioPharmaceutical Development, BioPharmaceuticals R&D, Cambridge, AstraZeneca, UK
| | - Diane Hatton
- Cell Culture and Fermentation Sciences, BioPharmaceutical Development, BioPharmaceuticals R&D, Cambridge, AstraZeneca, UK
| | - Viv Lindo
- Analytical Sciences, BioPharmaceutical Development, BioPharmaceuticals R&D, Cambridge, AstraZeneca, UK
| | - Richard Turner
- Purification Process Sciences, BioPharmaceutical Development, BioPharmaceuticals R&D, Cambridge, AstraZeneca, UK
| | - Claire Harris
- Cell Culture and Fermentation Sciences, BioPharmaceutical Development, BioPharmaceuticals R&D, Cambridge, AstraZeneca, UK
| | - Tingting Cui
- Purification Process Sciences, BioPharmaceutical Development, BioPharmaceuticals R&D, Cambridge, AstraZeneca, UK
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Jyothilekshmi I, Jayaprakash NS. Trends in Monoclonal Antibody Production Using Various Bioreactor Syst. J Microbiol Biotechnol 2021; 31:349-357. [PMID: 32238761 PMCID: PMC9705917 DOI: 10.4014/jmb.1911.11066] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Accepted: 03/10/2020] [Indexed: 12/15/2022]
Abstract
Monoclonal antibodies are widely used as diagnostic reagents and for therapeutic purposes, and their demand is increasing extensively. To produce these proteins in sufficient quantities for commercial use, it is necessary to raise the output by scaling up the production processes. This review describes recent trends in high-density cell culture systems established for monoclonal antibody production that are excellent methods to scale up from the lab-scale cell culture. Among the reactors, hollow fiber bioreactors contribute to a major part of high-density cell culture as they can provide a tremendous amount of surface area in a small volume for cell growth. As an alternative to hollow fiber reactors, a novel disposable bioreactor has been developed, which consists of a polymer-based supermacroporous material, cryogel, as a matrix for cell growth. Packed bed systems and disposable wave bioreactors have also been introduced for high cell density culture. These developments in high-density cell culture systems have led to the monoclonal antibody production in an economically favourable manner and made monoclonal antibodies one of the dominant therapeutic and diagnostic proteins in biopharmaceutical industry.
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Affiliation(s)
- I. Jyothilekshmi
- Centre for Bioseparation Technology (CBST), Vellore Institute of Technology (VIT), Vellore 632014, Tamilnadu, India
| | - N. S. Jayaprakash
- Centre for Bioseparation Technology (CBST), Vellore Institute of Technology (VIT), Vellore 632014, Tamilnadu, India,Corresponding author Phone: +91-4162202377 E-mail: ;
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Zacchi LF, Recinos DR, Otte E, Aitken C, Hunt T, Sandford V, Lee YY, Schulz BL, Howard CB. S-Trap Eliminates Cell Culture Media Polymeric Surfactants for Effective Proteomic Analysis of Mammalian Cell Bioreactor Supernatants. J Proteome Res 2020; 19:2149-2158. [DOI: 10.1021/acs.jproteome.0c00106] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Lucia F. Zacchi
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Queensland 4072, Australia
| | - Dinora Roche Recinos
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Queensland 4072, Australia
- CSL Limited, Parkville, Victoria 3052, Australia
| | - Ellen Otte
- CSL Limited, Parkville, Victoria 3052, Australia
| | | | - Tony Hunt
- CSL Limited, Parkville, Victoria 3052, Australia
| | | | - Yih Yean Lee
- CSL Limited, Parkville, Victoria 3052, Australia
| | - Benjamin L. Schulz
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Queensland 4072, Australia
- School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, Queensland 4072, Australia
| | - Christopher B. Howard
- ARC Training Centre for Biopharmaceutical Innovation, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St. Lucia, Queensland 4072, Australia
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