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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。

Emerging technologies for systems vaccinology - multi-omics integration and single-cell (epi)genomic profiling.

机构信息

Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA.

Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA; Department of Pathology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA; Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA; Chemistry, Engineering & Medicine for Human Health, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA.

出版信息

Curr Opin Immunol. 2020 Aug;65:57-64. doi: 10.1016/j.coi.2020.05.001. Epub 2020 Jun 3.

DOI:10.1016/j.coi.2020.05.001
PMID:32504952
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7710534/
Abstract

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.

摘要

系统疫苗学利用高通量 '组学' 技术,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疫苗接种引起的免疫反应过程中发生的复杂过程的全局图谱。其目标是定义保护性免疫的机制,并确定疫苗效力的细胞和分子相关性。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在内的新兴技术进步,为系统疫苗学注入了活力,并提供了关于免疫记忆所基于的细胞和分子信息如何存储在先天和适应性免疫系统中的新见解。在这里,我们将回顾系统疫苗学的这些新兴方向,特别关注表观基因组及其对调节先天和适应性免疫系统中疫苗诱导记忆的影响。

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