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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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. |
format | Online Article Text |
id | pubmed-10514319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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