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Emerging technologies for systems vaccinology - multi-omics integration and single-cell (epi)genomic profiling.
Current Opinion in Immunology ( IF 7 ) Pub Date : 2020-06-03 , DOI: 10.1016/j.coi.2020.05.001
Florian Wimmers 1 , Bali Pulendran 2
Affiliation  

Systems vaccinology leverages high-throughput 'omics' technologies, such as transcriptomics, metabolomics, and mass cytometry, coupled with computational approaches to construct a global map of the complex processes that occur during an immune response to vaccination. Its goal is to define the mechanisms of protective immunity and to identify cellular and molecular correlates of vaccine efficacy. Emerging technological advances including integration of multi-omics datasets, and single-cell genomic and epigenomic profiling of immune responses, have invigorated systems vaccinology, and provide new insights into the mechanisms by which the cellular and molecular information underlying immune memory is stored in the innate and adaptive immune systems. Here, we will review these emerging directions in systems vaccinology, with a particular focus on the epigenome, and its impact on modulating vaccination induced memory in the innate and adaptive immune systems.

中文翻译:

系统疫苗学的新兴技术——多组学整合和单细胞(表观)基因组分析。

系统疫苗学利用高通量“组学”技术,例如转录组学、代谢组学和质谱流式细胞术,结合计算方法来构建对疫苗接种的免疫反应期间发生的复杂过程的全局图。其目标是确定保护性免疫的机制,并确定疫苗效力的细胞和分子相关性。新兴的技术进步,包括多组学数据集的整合,以及免疫反应的单细胞基因组和表观基因组分析,激发了系统疫苗学的活力,并为免疫记忆背后的细胞和分子信息存储在先天性细胞中的机制提供了新的见解。和适应性免疫系统。在这里,我们将回顾系统疫苗学中的这些新兴方向,
更新日期:2020-06-03
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