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Molecular signatures of antibody responses derived from a systems biology study of five human vaccines

机译:对五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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Many vaccines induce protective immunity via antibodies. Systems biology approaches have been used to determine signatures that can be used to predict vaccine-induced immunity in humans, but whether there is a 'universal signature' that can be used to predict antibody responses to any vaccine is unknown. Here we did systems analyses of immune responses to the polysaccharide and conjugate vaccines against meningococcus in healthy adults, in the broader context of published studies of vaccines against yellow fever virus and influenza virus. To achieve this, we did a large-scale network integration of publicly available human blood transcriptomes and systems-scale databases in specific biological contexts and deduced a set of transcription modules in blood. Those modules revealed distinct transcriptional signatures of antibody responses to different classes of vaccines, which provided key insights into primary viral, protein recall and anti-polysaccharide responses. Our results elucidate the early transcriptional programs that orchestrate 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。系统生物学方法已被用于确定可用于预测人的疫苗诱导的免疫的特征,但是尚不存在可用于预测对任何疫苗的抗体反应的“通用特征”。在已发表的针对黄热病病毒和流感病毒的疫苗研究的更广泛背景下,我们在健康成年人中对针对脑膜炎球菌的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开可用的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,并推导出了血液中的一组转录模块。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,从而为主要病毒,蛋白质召回和抗多糖反应提供了重要见识。我们的结果阐明了协调人类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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