Characterization and quantification of adeno-associated virus capsid-loading states by multi-wavelength analytical ultracentrifugation with UltraScan

Aim: We present multi-wavelength (MW) analytical ultracentrifugation (AUC) methods offering superior accuracy for adeno-associated virus characterization and quantification. Methods: Experimental design guidelines are presented for MW sedimentation velocity and analytical buoyant density equilibrium AUC. Results: Our results were compared with dual-wavelength AUC, transmission electron microscopy and mass photometry. In contrast to dual-wavelength AUC, MW-AUC correctly quantifies adeno-associated virus capsid ratios and identifies contaminants. In contrast to transmission electron microscopy, partially filled capsids can also be detected and quantified. In contrast to mass photometry, first-principle results are obtained. Conclusion: Our study demonstrates the improved information provided by MW-AUC, highlighting the utility of several recently integrated UltraScan programs, and reinforces AUC as the gold-standard analysis for viral vectors.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:18

Enthalten in:

Nanomedicine (London, England) - 18(2023), 22 vom: 14. Sept., Seite 1519-1534

Sprache:

Englisch

Beteiligte Personen:

Henrickson, Amy [VerfasserIn]
Ding, Xiaozhe [VerfasserIn]
Seal, Austin G [VerfasserIn]
Qu, Zhe [VerfasserIn]
Tomlinson, Lauren [VerfasserIn]
Forsey, John [VerfasserIn]
Gradinaru, Viviana [VerfasserIn]
Oka, Kazuhiro [VerfasserIn]
Demeler, Borries [VerfasserIn]

Links:

Volltext

Themen:

Adeno-associated virus
Analytical buoyant density gradient equilibrium
Gene therapy
Journal Article
Multi-wavelength analytical ultracentrifugation
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Sedimentation velocity
UltraScan
Viral capsid quantification
Viral vector

Anmerkungen:

Date Completed 15.11.2023

Date Revised 22.04.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.2217/nnm-2023-0156

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM363699279