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单细胞 RNA 测序方法探究病毒-宿主相互作用。

Single-cell RNA-seq methods to interrogate virus-host interactions.

机构信息

Stanford Immunology Program, Stanford University School of Medicine, Stanford, CA, 94305, USA.

Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.

出版信息

Semin Immunopathol. 2023 Jan;45(1):71-89. doi: 10.1007/s00281-022-00972-2. Epub 2022 Nov 21.

Abstract

The twenty-first century has seen the emergence of many epidemic and pandemic viruses, with the most recent being the SARS-CoV-2-driven COVID-19 pandemic. As obligate intracellular parasites, viruses rely on host cells to replicate and produce progeny, resulting in complex virus and host dynamics during an infection. Single-cell RNA sequencing (scRNA-seq), by enabling broad and simultaneous profiling of both host and virus transcripts, represents a powerful technology to unravel the delicate balance between host and virus. In this review, we summarize technological and methodological advances in scRNA-seq and their applications to antiviral immunity. We highlight key scRNA-seq applications that have enabled the understanding of viral genomic and host response heterogeneity, differential responses of infected versus bystander cells, and intercellular communication networks. We expect further development of scRNA-seq technologies and analytical methods, combined with measurements of additional multi-omic modalities and increased availability of publicly accessible scRNA-seq datasets, to enable a better understanding of viral pathogenesis and enhance the development of antiviral therapeutics strategies.

摘要

二十一世纪见证了许多传染病和大流行病病毒的出现,最近的一次是由 SARS-CoV-2 引起的 COVID-19 大流行。作为专性细胞内寄生虫,病毒依赖宿主细胞进行复制和产生后代,导致感染过程中病毒和宿主的动态变化非常复杂。单细胞 RNA 测序 (scRNA-seq) 通过广泛而同时地分析宿主和病毒转录本,代表了一种强大的技术,可以揭示宿主和病毒之间的微妙平衡。在这篇综述中,我们总结了 scRNA-seq 的技术和方法学进展及其在抗病毒免疫中的应用。我们强调了关键的 scRNA-seq 应用,这些应用使我们能够理解病毒基因组和宿主反应的异质性、感染细胞与旁观者细胞的不同反应以及细胞间通讯网络。我们期望 scRNA-seq 技术和分析方法的进一步发展,结合对其他多组学模式的测量以及更多公开可用的 scRNA-seq 数据集的可用性,能够更好地理解病毒发病机制并增强抗病毒治疗策略的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c05/9974712/f447d75e3354/281_2022_972_Fig1_HTML.jpg

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