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mRNA vaccine quality analysis using RNA sequencing

The success of mRNA vaccines has been realised, in part, by advances in manufacturing that enabled billions of doses to be produced at sufficient quality and safety. However, mRNA vaccines must be rigorously analysed to measure their integrity and detect contaminants that reduce their effectiveness...

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Autores principales: Gunter, Helen M., Idrisoglu, Senel, Singh, Swati, Han, Dae Jong, Ariens, Emily, Peters, Jonathan R., Wong, Ted, Cheetham, Seth W., Xu, Jun, Rai, Subash Kumar, Feldman, Robert, Herbert, Andy, Marcellin, Esteban, Tropee, Romain, Munro, Trent, Mercer, Tim R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514319/
https://www.ncbi.nlm.nih.gov/pubmed/37735471
http://dx.doi.org/10.1038/s41467-023-41354-y
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author Gunter, Helen M.
Idrisoglu, Senel
Singh, Swati
Han, Dae Jong
Ariens, Emily
Peters, Jonathan R.
Wong, Ted
Cheetham, Seth W.
Xu, Jun
Rai, Subash Kumar
Feldman, Robert
Herbert, Andy
Marcellin, Esteban
Tropee, Romain
Munro, Trent
Mercer, Tim R.
author_facet Gunter, Helen M.
Idrisoglu, Senel
Singh, Swati
Han, Dae Jong
Ariens, Emily
Peters, Jonathan R.
Wong, Ted
Cheetham, Seth W.
Xu, Jun
Rai, Subash Kumar
Feldman, Robert
Herbert, Andy
Marcellin, Esteban
Tropee, Romain
Munro, Trent
Mercer, Tim R.
author_sort Gunter, Helen M.
collection PubMed
description The success of mRNA vaccines has been realised, in part, by advances in manufacturing that enabled billions of doses to be produced at sufficient quality and safety. However, mRNA vaccines must be rigorously analysed to measure their integrity and detect contaminants that reduce their effectiveness and induce side-effects. Currently, mRNA vaccines and therapies are analysed using a range of time-consuming and costly methods. Here we describe a streamlined method to analyse mRNA vaccines and therapies using long-read nanopore sequencing. Compared to other industry-standard techniques, VAX-seq can comprehensively measure key mRNA vaccine quality attributes, including sequence, length, integrity, and purity. We also show how direct RNA sequencing can analyse mRNA chemistry, including the detection of nucleoside modifications. To support this approach, we provide supporting software to automatically report on mRNA and plasmid template quality and integrity. Given these advantages, we anticipate that RNA sequencing methods, such as VAX-seq, will become central to the development and manufacture of mRNA drugs.
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spelling pubmed-105143192023-09-23 mRNA vaccine quality analysis using RNA sequencing Gunter, Helen M. Idrisoglu, Senel Singh, Swati Han, Dae Jong Ariens, Emily Peters, Jonathan R. Wong, Ted Cheetham, Seth W. Xu, Jun Rai, Subash Kumar Feldman, Robert Herbert, Andy Marcellin, Esteban Tropee, Romain Munro, Trent Mercer, Tim R. Nat Commun Article The success of mRNA vaccines has been realised, in part, by advances in manufacturing that enabled billions of doses to be produced at sufficient quality and safety. However, mRNA vaccines must be rigorously analysed to measure their integrity and detect contaminants that reduce their effectiveness and induce side-effects. Currently, mRNA vaccines and therapies are analysed using a range of time-consuming and costly methods. Here we describe a streamlined method to analyse mRNA vaccines and therapies using long-read nanopore sequencing. Compared to other industry-standard techniques, VAX-seq can comprehensively measure key mRNA vaccine quality attributes, including sequence, length, integrity, and purity. We also show how direct RNA sequencing can analyse mRNA chemistry, including the detection of nucleoside modifications. To support this approach, we provide supporting software to automatically report on mRNA and plasmid template quality and integrity. Given these advantages, we anticipate that RNA sequencing methods, such as VAX-seq, will become central to the development and manufacture of mRNA drugs. Nature Publishing Group UK 2023-09-21 /pmc/articles/PMC10514319/ /pubmed/37735471 http://dx.doi.org/10.1038/s41467-023-41354-y Text en © Crown 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Gunter, Helen M.
Idrisoglu, Senel
Singh, Swati
Han, Dae Jong
Ariens, Emily
Peters, Jonathan R.
Wong, Ted
Cheetham, Seth W.
Xu, Jun
Rai, Subash Kumar
Feldman, Robert
Herbert, Andy
Marcellin, Esteban
Tropee, Romain
Munro, Trent
Mercer, Tim R.
mRNA vaccine quality analysis using RNA sequencing
title mRNA vaccine quality analysis using RNA sequencing
title_full mRNA vaccine quality analysis using RNA sequencing
title_fullStr mRNA vaccine quality analysis using RNA sequencing
title_full_unstemmed mRNA vaccine quality analysis using RNA sequencing
title_short mRNA vaccine quality analysis using RNA sequencing
title_sort mrna vaccine quality analysis using rna sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10514319/
https://www.ncbi.nlm.nih.gov/pubmed/37735471
http://dx.doi.org/10.1038/s41467-023-41354-y
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