Auto‐transduction in lentiviral vector bioprocessing: A quantitative assessment and a novel inhibition strategy
Lentiviral vectors are highly efficient gene delivery vehicles used extensively in the rapidly growing field of cell and gene therapy. Demand for efficient, large-scale, lentiviral vector bioprocessing is growing as more therapies reach late-stage clinical trials and are commercialized. However, despite substantial progress, several process inefficiencies remain. The unintended auto-transduction of viral vector-producing cells by newly synthesized lentiviral vector particles during manufacturing processes constitutes one such inefficiency which remains largely unaddressed. In this study, we determined that over 60% of functional lentiviral vector particles produced during an upstream production process were lost to auto-transduction, highlighting a major process inefficiency likely widespread within the industry. Auto-transduction of cells by particles pseudotyped with the widely used vesicular stomatitis virus G protein was inhibited via the adoption of a reduced extracellular pH during vector production, impairing the ability of the vector to interact with its target receptor. Employing a posttransfection pH shift to pH 6.7-6.8 resulted in a sevenfold reduction in vector genome integration events, arising from lentiviral vector-mediated transduction, within viral vector-producing cell populations and ultimately resulted in improved lentiviral vector production kinetics. The proposed strategy is scalable and cost-effective, providing an industrially relevant approach to improve lentiviral vector production efficiencies.
Authors
- Carol Knevelman
- Qasim A. Rafiq (ORCID: https://orcid.org/0000-0003-4400-9106)
- James Miskin
- Thomas J. Williams (ORCID: https://orcid.org/0009-0007-2854-5351)
- Lee Davies (ORCID: https://orcid.org/0009-0004-9361-2651)
- Kyriacos Mitrophanous
Institutions
- Biochemical Society (GB)
- Oxford BioMedica (United Kingdom) (GB)
- University College London (GB)
Publication Details
- Journal
- Biotechnology and Bioengineering
- Published
- 2024-09-08
- DOI
- https://doi.org/10.1002/bit.28834
- Citations
- 4
- Primary Topic
- Virus-based gene therapy research
- Type
- article
- Field-Weighted Citation Impact
- 2.20
Funders
- UK Research and Innovation
- University College London
- Engineering and Physical Sciences Research Council