Analytical methods for process and product characterization of recombinant adeno-associated virus-based gene therapies.
Analytical methods for process and product characterization of recombinant adeno-associated virus-based gene therapies.
复制标题
基于重组腺相关病毒的基因疗法的过程和产品表征的分析方法。
DOI:
10.1016/j.omtm.2021.02.010
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发表时间:
2021-03-12
期刊:
影响因子:
--
通讯作者:
Braatz RD
中科院分区:
文献类型:
--
作者:
Gimpel AL;Katsikis G;Sha S;Maloney AJ;Hong MS;Nguyen TNT;Wolfrum J;Springs SL;Sinskey AJ;Manalis SR;Barone PW;Braatz RD
The optimization of upstream and downstream processes for production of recombinant adeno-associated virus (rAAV) with consistent quality depends on the ability to rapidly characterize critical quality attributes (CQAs). In the context of rAAV production, the virus titer, capsid content, and aggregation are identified as potential CQAs, affecting the potency, purity, and safety of rAAV-mediated gene therapy products. Analytical methods to measure these attributes commonly suffer from long turnaround times or low throughput for process development, although rapid, high-throughput methods are beginning to be developed and commercialized. These methods are not yet well established in academic or industrial practice, and supportive data are scarce. Here, we review both established and upcoming analytical methods for the quantification of rAAV quality attributes. In assessing each method, we highlight the progress toward rapid, at-line characterization of rAAV. Furthermore, we identify that a key challenge for transitioning from traditional to newer methods is the scarcity of academic and industrial experience with the latter. This literature review serves as a guide for the selection of analytical methods targeting quality attributes for rapid, high-throughput process characterization during process development of rAAV-mediated gene therapies. This review discusses analytical methods for the characterization of rAAV-based products during their development. With the focus on vector titer, content ratio, and aggregation, the review assesses established and upcoming methods and serves as a guide for the selection of analytical methods for rAAV development.
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影响因子:
4.7
作者:
Carvalho, Sofia B.;Moleirinho, Mafalda G.;Carrondo, Manuel J. T.
通讯作者:
Carrondo, Manuel J. T.
影响因子:
--
作者:
Furuta-Hanawa, Birei;Yamaguchi, Teruhide;Uchida, Eriko
通讯作者:
Uchida, Eriko
影响因子:
5.2
作者:
Dobnik, David;Kogovsek, Polona;Ravnikar, Maja
通讯作者:
Ravnikar, Maja
DOI:
10.1016/b978-0-444-59573-7.00007-5
发表时间:
2015-01-01
期刊:
BIOPHYSICAL CHARACTERIZATION OF PROTEINS IN DEVELOPING BIOPHARMACEUTICALS
影响因子:
--
作者:
Berkowitz, Steven A.;Houde, Damian J.
通讯作者:
Houde, Damian J.
影响因子:
3.8
作者:
Barnard, James G.;Babcock, Ken;Carpenter, John F.
通讯作者:
Carpenter, John F.