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Analytical methods for process and product characterization of recombinant adeno-associated virus-based gene therapies

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 aggrega...

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Autores principales: Gimpel, Andreas L., Katsikis, Georgios, Sha, Sha, Maloney, Andrew John, Hong, Moo Sun, Nguyen, Tam N.T., Wolfrum, Jacqueline, Springs, Stacy L., Sinskey, Anthony J., Manalis, Scott R., Barone, Paul W., Braatz, Richard D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Gene & Cell Therapy 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940698/
https://www.ncbi.nlm.nih.gov/pubmed/33738328
http://dx.doi.org/10.1016/j.omtm.2021.02.010
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author Gimpel, Andreas L.
Katsikis, Georgios
Sha, Sha
Maloney, Andrew John
Hong, Moo Sun
Nguyen, Tam N.T.
Wolfrum, Jacqueline
Springs, Stacy L.
Sinskey, Anthony J.
Manalis, Scott R.
Barone, Paul W.
Braatz, Richard D.
author_facet Gimpel, Andreas L.
Katsikis, Georgios
Sha, Sha
Maloney, Andrew John
Hong, Moo Sun
Nguyen, Tam N.T.
Wolfrum, Jacqueline
Springs, Stacy L.
Sinskey, Anthony J.
Manalis, Scott R.
Barone, Paul W.
Braatz, Richard D.
author_sort Gimpel, Andreas L.
collection PubMed
description 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.
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spelling pubmed-79406982021-03-17 Analytical methods for process and product characterization of recombinant adeno-associated virus-based gene therapies Gimpel, Andreas L. Katsikis, Georgios Sha, Sha Maloney, Andrew John Hong, Moo Sun Nguyen, Tam N.T. Wolfrum, Jacqueline Springs, Stacy L. Sinskey, Anthony J. Manalis, Scott R. Barone, Paul W. Braatz, Richard D. Mol Ther Methods Clin Dev Review 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. American Society of Gene & Cell Therapy 2021-02-17 /pmc/articles/PMC7940698/ /pubmed/33738328 http://dx.doi.org/10.1016/j.omtm.2021.02.010 Text en © 2021 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review
Gimpel, Andreas L.
Katsikis, Georgios
Sha, Sha
Maloney, Andrew John
Hong, Moo Sun
Nguyen, Tam N.T.
Wolfrum, Jacqueline
Springs, Stacy L.
Sinskey, Anthony J.
Manalis, Scott R.
Barone, Paul W.
Braatz, Richard D.
Analytical methods for process and product characterization of recombinant adeno-associated virus-based gene therapies
title Analytical methods for process and product characterization of recombinant adeno-associated virus-based gene therapies
title_full Analytical methods for process and product characterization of recombinant adeno-associated virus-based gene therapies
title_fullStr Analytical methods for process and product characterization of recombinant adeno-associated virus-based gene therapies
title_full_unstemmed Analytical methods for process and product characterization of recombinant adeno-associated virus-based gene therapies
title_short Analytical methods for process and product characterization of recombinant adeno-associated virus-based gene therapies
title_sort analytical methods for process and product characterization of recombinant adeno-associated virus-based gene therapies
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940698/
https://www.ncbi.nlm.nih.gov/pubmed/33738328
http://dx.doi.org/10.1016/j.omtm.2021.02.010
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