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Molecular signatures of antibody responses derived from a systems biological study of 5 human vaccines

机译:来自对5种人类疫苗的系统生物学研究得出的抗体反应的分子特征

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摘要

Many vaccines induce protective immunity via antibodies. Recent studies have used systems biological approaches to determine signatures that predict vaccine immunity in humans, but whether there is a ‘universal signature’ that can predict antibody responses to any vaccine, is unknown. Here we performed systems analyses of immune responses to the meningococcal polysaccharide and conjugate vaccines in healthy adults, in the broader context of our previous studies with the yellow fever and two influenza vaccines. To achieve this, we performed a large-scale network integration of public human blood transcriptomes, and systems-scale databases in specific biological contexts, and deduced a set of blood transcription modules. These modules revealed distinct transcriptional signatures of antibody responses to different classes of vaccines providing key insights into primary viral, protein recall and anti-polysaccharide responses. These results illuminate the early transcriptional programs orchestrating vaccine immunity in humans, and demonstrate the power of integrative network modeling.
机译:许多疫苗通过抗体诱导保护性免疫。最近的研究已经使用系统生物学方法来确定可预测人类疫苗免疫性的特征,但是尚不存在可以预测对任何疫苗的抗体反应的“通用特征”。在我们先前关于黄热病和两种流感疫苗的研究的更广泛背景下,我们在健康成年人中对脑膜炎球菌多糖和结合疫苗的免疫应答进行了系统分析。为了实现这一目标,我们在特定的生物学环境下对公共人类血液转录组和系统规模的数据库进行了大规模的网络整合,并推导出了一组血液转录模块。这些模块揭示了针对不同类别疫苗的抗体反应的独特转录特征,从而提供了对主要病毒,蛋白质召回和抗多糖反应的关键见解。这些结果阐明了在人类中协调疫苗免疫的早期转录程序,并证明了集成网络建模的强大功能。

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