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Author Spotlight: Improved Method for Production and Purification of Adeno-Associated Viral Vectors
Published on: April 5, 2024
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Improved adeno-associated virus empty and full capsid separation using weak partitioning multi-column AEX
Wenjun Di1, Kyle Koczera1, Peilun Zhang1
1Pharmaceutical Development, Ultragenyx Pharmaceutical Inc., Woburn, Massachusetts, USA.
Biotechnology Journal
|November 28, 2023
Summary
A novel anion exchange chromatography (AEX) method using weak partitioning chromatography (WPC) and multi-column chromatography (MCC) significantly enhances recombinant adeno-associated virus (rAAV) purification. This approach boosts full capsid yield and AEX step productivity for gene therapy manufacturing.
Area of Science:
- Biotechnology
- Bioprocessing
- Chromatography
Background:
- Separating empty and full recombinant adeno-associated virus (rAAV) capsids is critical for gene therapy.
- Anion exchange chromatography (AEX) is a key purification step, but requires optimization for efficiency.
Purpose of the Study:
- To develop and evaluate a new AEX method combining weak partitioning chromatography (WPC) and multi-column chromatography (MCC) for improved rAAV purification.
- To enhance the percentage of full rAAV capsids and overall productivity in the AEX step.
Main Methods:
- Implementation of a novel AEX method integrating WPC technology for selective capsid displacement during loading.
- Utilization of MCC for parallel column processing to increase throughput.
- Comparison of the AEX-WPC-MCC method against baseline AEX batch chromatography.
Main Results:
- The AEX-WPC-MCC method achieved approximately a 20% increase in the full rAAV percentage in the AEX pool.
- A similar increase of approximately 20% was observed in rAAV genome recovery.
- Productivity of the AEX step increased by approximately 34-fold compared to the baseline batch method.
Conclusions:
- The AEX-WPC-MCC method offers significant improvements in full rAAV capsid separation and purification efficiency.
- This integrated chromatography approach has the potential to enhance large-scale rAAV manufacturing.
- The method may contribute to reducing the cost of goods for rAAV-based gene therapies.

