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Development of an automated platform for the optimal production of glycoconjugate vaccines expressed in Escherichia coli
Protein Glycan Coupling Technology (PGCT) uses purposely modified bacterial cells to produce recombinant glycoconjugate vaccines. This vaccine platform holds great potential in this context, namely due to its modular nature, the simplified production process in comparison to traditional chemical con...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142613/ https://www.ncbi.nlm.nih.gov/pubmed/34030723 http://dx.doi.org/10.1186/s12934-021-01588-1 |
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author | Samaras, Jasmin J. Mauri, Marta Kay, Emily J. Wren, Brendan W. Micheletti, Martina |
author_facet | Samaras, Jasmin J. Mauri, Marta Kay, Emily J. Wren, Brendan W. Micheletti, Martina |
author_sort | Samaras, Jasmin J. |
collection | PubMed |
description | Protein Glycan Coupling Technology (PGCT) uses purposely modified bacterial cells to produce recombinant glycoconjugate vaccines. This vaccine platform holds great potential in this context, namely due to its modular nature, the simplified production process in comparison to traditional chemical conjugation methods, and its amenability to scaled-up operations. As a result, a considerable reduction in production time and cost is expected, making PGCT-made vaccines a suitable vaccine technology for low-middle income countries, where vaccine coverage remains predominantly low and inconsistent. This work aims to develop an integrated whole-process automated platform for the screening of PGCT-made glycoconjugate vaccine candidates. The successful translation of a bench scale process for glycoconjugate production to a microscale automated setting was achieved. This was integrated with a numerical computational software that allowed hands-free operation and a platform adaptable to biological variation over the course of a production process. Platform robustness was proven with both technical and biological replicates and subsequently the platform was used to screen for the most favourable conditions for production of a pneumococcal serotype 4 vaccine candidate. This work establishes an effective automated platform that enabled the identification of the most suitable E. coli strain and genetic constructs to be used in ongoing early phase research and be further brought into preclinical trials. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-021-01588-1. |
format | Online Article Text |
id | pubmed-8142613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81426132021-05-25 Development of an automated platform for the optimal production of glycoconjugate vaccines expressed in Escherichia coli Samaras, Jasmin J. Mauri, Marta Kay, Emily J. Wren, Brendan W. Micheletti, Martina Microb Cell Fact Research Protein Glycan Coupling Technology (PGCT) uses purposely modified bacterial cells to produce recombinant glycoconjugate vaccines. This vaccine platform holds great potential in this context, namely due to its modular nature, the simplified production process in comparison to traditional chemical conjugation methods, and its amenability to scaled-up operations. As a result, a considerable reduction in production time and cost is expected, making PGCT-made vaccines a suitable vaccine technology for low-middle income countries, where vaccine coverage remains predominantly low and inconsistent. This work aims to develop an integrated whole-process automated platform for the screening of PGCT-made glycoconjugate vaccine candidates. The successful translation of a bench scale process for glycoconjugate production to a microscale automated setting was achieved. This was integrated with a numerical computational software that allowed hands-free operation and a platform adaptable to biological variation over the course of a production process. Platform robustness was proven with both technical and biological replicates and subsequently the platform was used to screen for the most favourable conditions for production of a pneumococcal serotype 4 vaccine candidate. This work establishes an effective automated platform that enabled the identification of the most suitable E. coli strain and genetic constructs to be used in ongoing early phase research and be further brought into preclinical trials. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-021-01588-1. BioMed Central 2021-05-24 /pmc/articles/PMC8142613/ /pubmed/34030723 http://dx.doi.org/10.1186/s12934-021-01588-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Samaras, Jasmin J. Mauri, Marta Kay, Emily J. Wren, Brendan W. Micheletti, Martina Development of an automated platform for the optimal production of glycoconjugate vaccines expressed in Escherichia coli |
title | Development of an automated platform for the optimal production of glycoconjugate vaccines expressed in Escherichia coli |
title_full | Development of an automated platform for the optimal production of glycoconjugate vaccines expressed in Escherichia coli |
title_fullStr | Development of an automated platform for the optimal production of glycoconjugate vaccines expressed in Escherichia coli |
title_full_unstemmed | Development of an automated platform for the optimal production of glycoconjugate vaccines expressed in Escherichia coli |
title_short | Development of an automated platform for the optimal production of glycoconjugate vaccines expressed in Escherichia coli |
title_sort | development of an automated platform for the optimal production of glycoconjugate vaccines expressed in escherichia coli |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8142613/ https://www.ncbi.nlm.nih.gov/pubmed/34030723 http://dx.doi.org/10.1186/s12934-021-01588-1 |
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