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Joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition
Seasonal influenza vaccines must be updated regularly to account for mutations that allow influenza viruses to escape our existing immunity. A successful vaccine should represent the genetic diversity of recently circulating viruses and induce antibodies that effectively prevent infection by those r...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073671/ https://www.ncbi.nlm.nih.gov/pubmed/37035035 http://dx.doi.org/10.3389/fbinf.2023.1069487 |
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author | Lee, Jover Hadfield, James Black, Allison Sibley, Thomas R. Neher, Richard A. Bedford, Trevor Huddleston, John |
author_facet | Lee, Jover Hadfield, James Black, Allison Sibley, Thomas R. Neher, Richard A. Bedford, Trevor Huddleston, John |
author_sort | Lee, Jover |
collection | PubMed |
description | Seasonal influenza vaccines must be updated regularly to account for mutations that allow influenza viruses to escape our existing immunity. A successful vaccine should represent the genetic diversity of recently circulating viruses and induce antibodies that effectively prevent infection by those recent viruses. Thus, linking the genetic composition of circulating viruses and the serological experimental results measuring antibody efficacy is crucial to the vaccine design decision. Historically, genetic and serological data have been presented separately in the form of static visualizations of phylogenetic trees and tabular serological results to identify vaccine candidates. To simplify this decision-making process, we have created an interactive tool for visualizing serological data that has been integrated into Nextstrain’s real-time phylogenetic visualization framework, Auspice. We show how the combined interactive visualizations may be used by decision makers to explore the relationships between complex data sets for both prospective vaccine virus selection and retrospectively exploring the performance of vaccine viruses. |
format | Online Article Text |
id | pubmed-10073671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100736712023-04-06 Joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition Lee, Jover Hadfield, James Black, Allison Sibley, Thomas R. Neher, Richard A. Bedford, Trevor Huddleston, John Front Bioinform Bioinformatics Seasonal influenza vaccines must be updated regularly to account for mutations that allow influenza viruses to escape our existing immunity. A successful vaccine should represent the genetic diversity of recently circulating viruses and induce antibodies that effectively prevent infection by those recent viruses. Thus, linking the genetic composition of circulating viruses and the serological experimental results measuring antibody efficacy is crucial to the vaccine design decision. Historically, genetic and serological data have been presented separately in the form of static visualizations of phylogenetic trees and tabular serological results to identify vaccine candidates. To simplify this decision-making process, we have created an interactive tool for visualizing serological data that has been integrated into Nextstrain’s real-time phylogenetic visualization framework, Auspice. We show how the combined interactive visualizations may be used by decision makers to explore the relationships between complex data sets for both prospective vaccine virus selection and retrospectively exploring the performance of vaccine viruses. Frontiers Media S.A. 2023-03-22 /pmc/articles/PMC10073671/ /pubmed/37035035 http://dx.doi.org/10.3389/fbinf.2023.1069487 Text en Copyright © 2023 Lee, Hadfield, Black, Sibley, Neher, Bedford and Huddleston. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioinformatics Lee, Jover Hadfield, James Black, Allison Sibley, Thomas R. Neher, Richard A. Bedford, Trevor Huddleston, John Joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition |
title | Joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition |
title_full | Joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition |
title_fullStr | Joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition |
title_full_unstemmed | Joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition |
title_short | Joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition |
title_sort | joint visualization of seasonal influenza serology and phylogeny to inform vaccine composition |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073671/ https://www.ncbi.nlm.nih.gov/pubmed/37035035 http://dx.doi.org/10.3389/fbinf.2023.1069487 |
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