季节性流感血清学和系统发育的联合可视化,为疫苗成分提供信息。

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Frontiers in bioinformatics Pub Date : 2023-03-22 eCollection Date: 2023-01-01 DOI:10.3389/fbinf.2023.1069487
Jover Lee, James Hadfield, Allison Black, Thomas R Sibley, Richard A Neher, Trevor Bedford, John Huddleston
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引用次数: 1

摘要

季节性流感疫苗必须定期更新,以应对使流感病毒逃脱我们现有免疫力的突变。一种成功的疫苗应该代表最近传播的病毒的基因多样性,并诱导抗体,有效防止这些最近的病毒感染。因此,将循环病毒的基因组成与测量抗体效力的血清学实验结果联系起来,对疫苗设计决策至关重要。历史上,遗传和血清学数据以系统发育树的静态可视化和血清学结果表的形式分别呈现,以确定候选疫苗。为了简化这一决策过程,我们创建了一个交互式工具,用于可视化血清学数据,该工具已集成到Nextstrain的实时系统发育可视化框架Auspice中。我们展示了决策者如何使用组合的交互式可视化来探索前瞻性疫苗病毒选择和回顾性疫苗病毒性能的复杂数据集之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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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 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.

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