From Efficiency to Yield: Exploring Recent Advances in CHO Cell Line Development for Monoclonal Antibodies
- PMID: 38363529
- DOI: 10.1007/s12033-024-01060-6
From Efficiency to Yield: Exploring Recent Advances in CHO Cell Line Development for Monoclonal Antibodies
Abstract
The increasing demand for biosimilar monoclonal antibodies (mAbs) has prompted the development of stable high-producing cell lines while simultaneously decreasing the time required for screening. Existing platforms have proven inefficient, resulting in inconsistencies in yields, growth characteristics, and quality features in the final mAb products. Selecting a suitable expression host, designing an effective gene expression system, developing a streamlined cell line generation approach, optimizing culture conditions, and defining scaling-up and purification strategies are all critical steps in the production of recombinant proteins, particularly monoclonal antibodies, in mammalian cells. As a result, an active area of study is dedicated to expression and optimizing recombinant protein production. This review explores recent breakthroughs and approaches targeted at accelerating cell line development to attain efficiency and consistency in the synthesis of therapeutic proteins, specifically monoclonal antibodies. The primary goal is to bridge the gap between rising demand and consistent, high-quality mAb production, thereby benefiting the healthcare and pharmaceutical industries.
Keywords: Biosimilars; CHO; Cell line development; Expression vector; Genetic engineering.
© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Conflict of interest statement
Declarations. Conflict of interest: The authors declare no conflicts of interest.
References
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- Castelli, M. S., McGonigle, P., & Hornby, P. J. (2019). The pharmacology and therapeutic applications of monoclonal antibodies. Pharmacology Research & Perspectives, 7, e00535. - DOI
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- Cai, H.H. Therapeutic Monoclonal Antibodies Approved by FDA in 2020.
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