Single-Cell Analysis Reveals Heterogeneity of Virus Infection, Pathogenicity, and Host Responses: HIV as a Pioneering Example

被引：19

作者：

Brandt, Ludivine ^{[1
]}

Cristinelli, Sara ^{[1
]}

Ciuffi, Angela ^{[1
]}

机构：

[1] Univ Lausanne, Univ Lausanne Hosp, Inst Microbiol, CH-1011 Lausanne, Switzerland

来源：

ANNUAL REVIEW OF VIROLOGY, VOL 7, 2020 | 2020年 / 7卷

基金：

瑞士国家科学基金会;

关键词：

single-cell; heterogeneity; HIV; permissiveness; latency; innate immunity; immunity; RNA-SEQ; T-CELLS; TRANSCRIPTIONAL PROFILES; LATENCY; STRATEGIES; RESERVOIR; INTEGRATION; ACTIVATION; EXPRESSION; GENOMICS;

D O I：

10.1146/annurev-virology-021820-102458

中图分类号：

Q93 [微生物学];

学科分类号：

071005 ; 100705 ;

摘要：

While analyses of cell populations provide averaged information about viral infections, single-cell analyses offer individual consideration, thereby revealing a broad spectrum of diversity as well as identifying extreme phenotypes that can be exploited to further understand the complex virus-host interplay. Single-cell technologies applied in the context of human immunodeficiency virus (HIV) infection proved to be valuable tools to help uncover specific biomarkers as well as novel candidate players in virus-host interactions. This review aims at providing an updated overview of single-cell analyses in the field of HIV and acquired knowledge on HIV infection, latency, and host response. Although HIV is a pioneering example, similar singlecell approaches have proven to be valuable for elucidating the behavior and virus-host interplay in a range of other viruses.

引用

页码：333 / 350

页数：18

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