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McKinski K, Tang H, Wang K, Birchler M, Wright M. Comparison of highly sensitive, multiplex immunoassay platforms for streamlined clinical cytokine quantification. Bioanalysis 2025; 17:17-29. [PMID: 39703153 PMCID: PMC11749433 DOI: 10.1080/17576180.2024.2442190] [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: 09/03/2024] [Accepted: 12/11/2024] [Indexed: 12/21/2024] Open
Abstract
INTRODUCTION Selecting the optimal platforms to quantitate cytokines is challenging due to varying performance and the plethora of options available. AIMS To compare performance of three highly sensitive, multiplex assays on three different platforms - MSD S-plex, Olink Target 48, and Quanterix SP-X - to MSD V-plex which is widely used for quantitative cytokine assay. METHODS Serum and stimulated plasma samples were analyzed across each platform. The proportion of quantifiable samples was compared for each analyte and correlation analyses were performed to relate the data. For MSD S-plex, parallelism and antibody pair knockdown experiments gauged specificity of the kit. RESULTS MSD S-plex was the most sensitive multiplex platform followed by Olink Target 48, Quanterix SP-X, and MSD V-plex. Concentrations across platforms differed greatly for some cytokines, but all platforms showed strong correlation. Results for MSD S-plex were confirmed by parallelism and knockdown. CONCLUSION MSD S-plex should be a priority platform for ultra-sensitive assay. Olink Target 48 offers an enticing combination of sensitivity and multiplex capability that warrants consideration when many cytokines require quantitation. MSD V-plex, MSD S-plex and Olink quantitative assays offer high utility across drug development programs, but fit-for-purpose performance should be assessed on a per-analyte basis.
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Affiliation(s)
- Kevin McKinski
- Precision Medicine – Biomarker & Bioanalytical Platforms (BBP), GSK, Collegeville, PA, USA
| | - Huaping Tang
- Precision Medicine – Biomarker & Bioanalytical Platforms (BBP), GSK, Collegeville, PA, USA
| | - Kai Wang
- Precision Medicine – Biomarker & Bioanalytical Platforms (BBP), GSK, Collegeville, PA, USA
| | - Mary Birchler
- Precision Medicine – Biomarker & Bioanalytical Platforms (BBP), GSK, Collegeville, PA, USA
| | - Mike Wright
- Precision Medicine – Biomarker & Bioanalytical Platforms (BBP), GSK, Stevenage, UK
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Lant JT, Frasheri J, Kwon T, Tsang CMN, Li BB, Decombe S, Sklavounos AA, Akbari S, Wheeler AR. A multimodal digital microfluidic testing platform for antibody-producing cell lines. LAB ON A CHIP 2024. [PMID: 39565292 DOI: 10.1039/d4lc00816b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/21/2024]
Abstract
In recent years, monoclonal antibodies (mAbs) have become a powerful tool in the treatment of human diseases. Currently, over 100 mAbs have received approval for therapeutic use in the US, with wide-ranging applications from cancer to infectious diseases. The predominant method of producing antibodies for therapeutics involves expression in mammalian cell lines. In the mAb production process, significant optimization is typically done to maximize antibody titres from cells grown in bioreactors. Therefore, systems that can miniaturize and automate cell line testing (e.g., viability and antibody production assays) are valuable in reducing therapeutic mAb development costs. Here we present a novel platform for cell line optimization for mAb production using digital microfluidics. The platform enables testing of cell culture samples in 6-8 μL droplets with semi-automated viability, media pH, and antibody production assays. This system provides a unique bridge between cell growth and productivity metrics, while minimizing culture volume requirements for daily testing. We propose that this technology and its future iterations has the potential to help reduce the time-to-market and development costs of antibody-producing cell lines.
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Affiliation(s)
- Jeremy T Lant
- Department of Chemistry, University of Toronto, Toronto, Ontario, Canada.
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
| | - Jurgen Frasheri
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Taehong Kwon
- Sartorius Stedim North America Inc., Marlborough, MA, USA
| | - Camille M N Tsang
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
| | - Bingyu B Li
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Sheldon Decombe
- Department of Chemistry, University of Toronto, Toronto, Ontario, Canada.
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
| | - Alexandros A Sklavounos
- Department of Chemistry, University of Toronto, Toronto, Ontario, Canada.
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
| | - Samin Akbari
- Sartorius Stedim North America Inc., Marlborough, MA, USA
| | - Aaron R Wheeler
- Department of Chemistry, University of Toronto, Toronto, Ontario, Canada.
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
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Zhao Y, Li H, Fan Z, Wang T. Effect of Host Cell Protein on Chinese Hamster Ovary Recombinant Protein Production and its Removal Strategies: A Mini Review. Curr Pharm Biotechnol 2024; 25:665-675. [PMID: 37594091 DOI: 10.2174/1389201024666230818112633] [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: 04/05/2023] [Revised: 07/01/2023] [Accepted: 07/12/2023] [Indexed: 08/19/2023]
Abstract
Chinese hamster ovary cells are the main expression system for recombinant therapeutic proteins. During the production of these proteins, certain host cell proteins are secreted, broken down, and released by host cells in the culture along with the proteins of interest. These host cell proteins are often difficult to remove during the downstream purification process, and thus affect the quality, safety, and effectiveness of recombinant protein biopharmaceutical products and increase the production cost of recombinant therapeutic proteins. Therefore, host cell protein production must be reduced as much as possible during the production process and eliminated during purification. This article reviews the harm caused by host cell proteins in the production of recombinant protein drugs using Chinese hamster ovary cell, factors affecting host cell proteins, the monitoring and identification of these proteins, and methods to reduce their type and quantity in the final product.
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Affiliation(s)
- Yaru Zhao
- Institutes of Health Central Plains, Xinxiang Medical University, Xinxiang, China
- Henan International Joint Laboratory of Recombinant Pharmaceutical Protein Expression System, Xinxiang Medical University, Xinxiang, China
| | - He Li
- Institutes of Health Central Plains, Xinxiang Medical University, Xinxiang, China
- Henan International Joint Laboratory of Recombinant Pharmaceutical Protein Expression System, Xinxiang Medical University, Xinxiang, China
| | - Zhenlin Fan
- Institutes of Health Central Plains, Xinxiang Medical University, Xinxiang, China
- Henan International Joint Laboratory of Recombinant Pharmaceutical Protein Expression System, Xinxiang Medical University, Xinxiang, China
| | - Tianyun Wang
- Henan International Joint Laboratory of Recombinant Pharmaceutical Protein Expression System, Xinxiang Medical University, Xinxiang, China
- Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang, China
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Wasalathanthri DP, Shah R, Ding J, Leone A, Li ZJ. Process analytics 4.0: A paradigm shift in rapid analytics for biologics development. Biotechnol Prog 2021; 37:e3177. [PMID: 34036755 DOI: 10.1002/btpr.3177] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 05/08/2021] [Accepted: 05/23/2021] [Indexed: 11/11/2022]
Abstract
Analytical testing of product quality attributes and process parameters during the biologics development (Process analytics) has been challenging due to the rapid growth of biomolecules with complex modalities to support unmet therapeutic needs. Thus, the expansion of the process analytics tool box for rapid analytics with the deployment of cutting-edge technologies and cyber-physical systems is a necessity. We introduce the term, Process Analytics 4.0; which entails not only technology aspects such as process analytical technology (PAT), assay automation, and high-throughput analytics, but also cyber-physical systems that enable data management, visualization, augmented reality, and internet of things (IoT) infrastructure for real time analytics in process development environment. This review is exclusively focused on dissecting high-level features of PAT, automation, and data management with some insights into the business aspects of implementing during process analytical testing in biologics process development. Significant technological and business advantages can be gained with the implementation of digitalization, automation, and real time testing. A systematic development and employment of PAT in process development workflows enable real time analytics for better process understanding, agility, and sustainability. Robotics and liquid handling workstations allow rapid assay and sample preparation automation to facilitate high-throughput testing of attributes and molecular properties which are otherwise challenging to monitor with PAT tools due to technological and business constraints. Cyber-physical systems for data management, visualization, and repository must be established as part of Process Analytics 4.0 framework. Furthermore, we review some of the challenges in implementing these technologies based on our expertise in process analytics for biopharmaceutical drug substance development.
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Affiliation(s)
| | - Ruchir Shah
- Global Process Development Analytics, Bristol-Myers Squibb Company, Devens, Massachusetts, USA
| | - Julia Ding
- Global Process Development Analytics, Bristol-Myers Squibb Company, Devens, Massachusetts, USA
| | - Anthony Leone
- Global Process Development Analytics, Bristol-Myers Squibb Company, Devens, Massachusetts, USA
| | - Zheng Jian Li
- Biologics Analytical Development & Attribute Sciences, Bristol-Myers Squibb Company, Devens, Massachusetts, USA
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Pinto IF, Soares RRG, Mäkinen MEL, Chotteau V, Russom A. Multiplexed Microfluidic Cartridge for At-Line Protein Monitoring in Mammalian Cell Culture Processes for Biopharmaceutical Production. ACS Sens 2021; 6:842-851. [PMID: 33724791 PMCID: PMC8034812 DOI: 10.1021/acssensors.0c01884] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
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The biopharmaceutical
market has been rapidly growing in recent
years, creating a highly competitive arena where R&D is critical
to strike a balance between clinical safety and profitability. Toward
process optimization, the recent development and adoption of new process
analytical technologies (PAT) highlight the dynamic complexity of
mammalian/human cell culture processes, as well as the importance
of fine-tuning and modeling key metabolites and proteins. In this
context, simple, rapid, and cost-effective devices allowing routine
at-line monitoring of specific proteins during process development
and production are currently lacking. Here, we report the development
of a versatile microfluidic protein analysis cartridge allowing the
multiplexed bead-based immunodetection of specific proteins directly
from complex mixtures with minimal hands-on time. Colorimetric quantification
of Chinese hamster ovary (CHO) host cell proteins as key impurities,
monoclonal antibodies as target biopharmaceuticals, and lactate dehydrogenase
as a marker of cell viability was achieved with limits of detection
in the 1–10 ng/mL range and analysis times as short as 30 min.
The device was further demonstrated for the monitoring of a Rituximab-producing
CHO cell bioreactor over the course of 8 days, providing comparable
recoveries to standard enzyme-linked immunosorbent assay (ELISA) kits.
The high sensitivity combined with robustness to matrix interference
highlights the potential of the device to perform at-line measurements
spanning from the bioreactor to the downstream processing.
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Affiliation(s)
- Inês F. Pinto
- KTH Royal Institute of Technology, Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, 171 21 Solna, Sweden
| | - Ruben R. G. Soares
- KTH Royal Institute of Technology, Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, 171 21 Solna, Sweden
| | - Meeri E.-L. Mäkinen
- KTH Royal Institute of Technology, Department of Industrial Biotechnology, School of Engineering Sciences in Chemistry, Biotechnology and Health, 106 91 Stockholm, Sweden
- AdBIOPRO, Competence Centre for Advanced BioProduction by Continuous Processing, KTH, 100 44 Stockholm, Sweden
| | - Veronique Chotteau
- KTH Royal Institute of Technology, Department of Industrial Biotechnology, School of Engineering Sciences in Chemistry, Biotechnology and Health, 106 91 Stockholm, Sweden
- AdBIOPRO, Competence Centre for Advanced BioProduction by Continuous Processing, KTH, 100 44 Stockholm, Sweden
| | - Aman Russom
- KTH Royal Institute of Technology, Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, 171 21 Solna, Sweden
- AIMES, Center for the Advancement of Integrated Medical and Engineering Sciences at Karolinska Institutet and KTH Royal Institute of Technology, 100 44 Stockholm, Sweden
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