| Autor: |
Xueyuan Liu, Riffard Jean-Gilles, Julia Baginski, Christina Cai, Ruilan Yan, Lili Zhang, Kevin Lance, Johannes C.M. van der Loo, Beverly L. Davidson |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Molecular Therapy: Methods & Clinical Development, Vol 32, Iss 3, Pp 101298- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2329-0501 |
| DOI: |
10.1016/j.omtm.2024.101298 |
| Popis: |
Recombinant adeno-associated virus (rAAV)-based gene therapies are expanding in their application. Despite progress in manufacturing, current analytical methods for product quantification and characterization remain largely unchanged. Although critical for product and process development, in-process testing, and batch release, current analytical methods are labor-intensive, costly, and hampered by extended turnaround times and low throughput. The field requires more efficient, cost-effective analytical techniques capable of handling large sample quantities to accelerate product and process development. Here, we evaluated Stunner from Unchained Labs for quantifying and characterizing rAAVs and compared it with established analytical methods. Stunner is a combinatorial analytic technology platform that interpolates ultraviolet-visible (UV-Vis) absorption with static and dynamic light scattering (SLS/DLS) analysis to determine capsid and genomic titer, empty and full capsid ratio, and assess vector size and polydispersity. The platform offers empirical measurements with minimal sample requirements. Upon testing hundreds of rAAV vectors, comprising various serotypes and transgenes, the data show a strong correlation with established analytical methods and exhibit high reproducibility and repeatability. Some analyses can be applied to in-process samples from different purification stages and processes, fulfilling the demand for rapid, high-throughput analysis during development. In sum, the pipeline presented streamlines small- and large-batch analytics. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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