The use of single-cell RNA-seq to study heterogeneity at varying levels of virus-host interactions.
The use of single-cell RNA-seq to study heterogeneity at varying levels of virus-host interactions.
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使用单细胞RNA-seq研究不同水平病毒与宿主相互作用的异质性。
DOI：
10.1371/journal.ppat.1011898
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发表时间：
2024-01
期刊：
影响因子：
6.7
通讯作者：
中科院分区：
文献类型：
--
作者：
病毒感染的结果取决于感染病毒群体的多样性以及感染细胞群的异质性。直到大约十年前，对病毒感染期间这些动态过程的研究具有挑战性，并且仅限于某些目标测量。目前，通过使用单细胞测序技术，现在可以同时研究由细胞与感染病毒的相互作用所定义的复杂界面。在这篇综述中，我们将描述单细胞RNA测序（SCRNA-SEQ）研究病毒感染的异质性，从单个病毒体到感染个体之间的免疫反应。此外，我们重点介绍了某些关键的实验局限性和方法论决策，这些决策对于分析每个量表的SCRNA-SEQ数据至关重要。
The outcome of viral infection depends on the diversity of the infecting viral population and the heterogeneity of the cell population that is infected. Until almost a decade ago, the study of these dynamic processes during viral infection was challenging and limited to certain targeted measurements. Presently, with the use of single-cell sequencing technology, the complex interface defined by the interactions of cells with infecting virus can now be studied across the breadth of the transcriptome in thousands of individual cells simultaneously. In this review, we will describe the use of single-cell RNA sequencing (scRNA-seq) to study the heterogeneity of viral infections, ranging from individual virions to the immune response between infected individuals. In addition, we highlight certain key experimental limitations and methodological decisions that are critical to analyzing scRNA-seq data at each scale.
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