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Systems vaccinology and big data in the vaccine development chain
Systems vaccinology has proven a fascinating development in the last decade. Where traditionally vaccine development has been dominated by trial and error, systems vaccinology is a tool that provides novel and comprehensive understanding if properly used. Data sets retrieved from systems‐based studi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6283655/ https://www.ncbi.nlm.nih.gov/pubmed/30317555 http://dx.doi.org/10.1111/imm.13012 |
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author | Raeven, René H. M. van Riet, Elly Meiring, Hugo D. Metz, Bernard Kersten, Gideon F. A. |
author_facet | Raeven, René H. M. van Riet, Elly Meiring, Hugo D. Metz, Bernard Kersten, Gideon F. A. |
author_sort | Raeven, René H. M. |
collection | PubMed |
description | Systems vaccinology has proven a fascinating development in the last decade. Where traditionally vaccine development has been dominated by trial and error, systems vaccinology is a tool that provides novel and comprehensive understanding if properly used. Data sets retrieved from systems‐based studies endorse rational design and effective development of safe and efficacious vaccines. In this review we first describe different omics‐techniques that form the pillars of systems vaccinology. In the second part, the application of systems vaccinology in the different stages of vaccine development is described. Overall, this review shows that systems vaccinology has become an important tool anywhere in the vaccine development chain. |
format | Online Article Text |
id | pubmed-6283655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-62836552018-12-13 Systems vaccinology and big data in the vaccine development chain Raeven, René H. M. van Riet, Elly Meiring, Hugo D. Metz, Bernard Kersten, Gideon F. A. Immunology Review Articles Systems vaccinology has proven a fascinating development in the last decade. Where traditionally vaccine development has been dominated by trial and error, systems vaccinology is a tool that provides novel and comprehensive understanding if properly used. Data sets retrieved from systems‐based studies endorse rational design and effective development of safe and efficacious vaccines. In this review we first describe different omics‐techniques that form the pillars of systems vaccinology. In the second part, the application of systems vaccinology in the different stages of vaccine development is described. Overall, this review shows that systems vaccinology has become an important tool anywhere in the vaccine development chain. John Wiley and Sons Inc. 2018-11-13 2019-01 /pmc/articles/PMC6283655/ /pubmed/30317555 http://dx.doi.org/10.1111/imm.13012 Text en © 2018 The Authors. Immunology Published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Review Articles Raeven, René H. M. van Riet, Elly Meiring, Hugo D. Metz, Bernard Kersten, Gideon F. A. Systems vaccinology and big data in the vaccine development chain |
title | Systems vaccinology and big data in the vaccine development chain |
title_full | Systems vaccinology and big data in the vaccine development chain |
title_fullStr | Systems vaccinology and big data in the vaccine development chain |
title_full_unstemmed | Systems vaccinology and big data in the vaccine development chain |
title_short | Systems vaccinology and big data in the vaccine development chain |
title_sort | systems vaccinology and big data in the vaccine development chain |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6283655/ https://www.ncbi.nlm.nih.gov/pubmed/30317555 http://dx.doi.org/10.1111/imm.13012 |
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