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用于rAAV定量和表征的快速多属性组合高通量紫外可见/动态光散射/静态光散射分析平台的评估。

Evaluation of a rapid multi-attribute combinatorial high-throughput UV-Vis/DLS/SLS analytical platform for rAAV quantification and characterization.

作者信息

Liu Xueyuan, Jean-Gilles Riffard, Baginski Julia, Cai Christina, Yan Ruilan, Zhang Lili, Lance Kevin, van der Loo Johannes C M, Davidson Beverly L

机构信息

Raymond G. Perelman Center for Cellular and Molecular Therapeutics, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.

School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.

出版信息

Mol Ther Methods Clin Dev. 2024 Jul 15;32(3):101298. doi: 10.1016/j.omtm.2024.101298. eCollection 2024 Sep 12.

DOI:10.1016/j.omtm.2024.101298
PMID:39170800
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11338085/
Abstract

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.

摘要

基于重组腺相关病毒(rAAV)的基因疗法应用正在不断拓展。尽管在生产方面取得了进展,但目前用于产品定量和表征的分析方法在很大程度上仍未改变。虽然对于产品和工艺开发、过程中测试以及批次放行至关重要,但当前的分析方法劳动强度大、成本高,且受周转时间长和通量低的限制。该领域需要更高效、经济有效的分析技术,能够处理大量样品以加速产品和工艺开发。在此,我们评估了Unchained Labs公司的Stunner用于rAAV的定量和表征,并将其与既定的分析方法进行了比较。Stunner是一个组合分析技术平台,它将紫外可见(UV-Vis)吸收与静态和动态光散射(SLS/DLS)分析相结合,以确定衣壳和基因组滴度、空衣壳与满衣壳比例,并评估载体大小和多分散性。该平台以最少的样品需求提供经验测量。在测试了数百种包含各种血清型和转基因的rAAV载体后,数据显示与既定分析方法有很强的相关性,且具有高重现性和重复性。一些分析可应用于来自不同纯化阶段和工艺的过程中样品,满足开发过程中对快速、高通量分析的需求。总之,所展示的流程简化了小批量和大批量分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/cad24f0da863/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/f41fb2ca22d8/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/bee33483c9a8/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/d1701b8abf6f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/5530cd697f57/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/ddea1e59c587/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/6106e7a92fe8/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/513f9e2477b3/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/cad24f0da863/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/f41fb2ca22d8/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/bee33483c9a8/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/d1701b8abf6f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/5530cd697f57/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/ddea1e59c587/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/6106e7a92fe8/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/513f9e2477b3/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f88c/11338085/cad24f0da863/gr7.jpg

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