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

被引:30
作者
Ratnasiri, Kalani [1 ,2 ]
Wilk, Aaron J. [1 ,2 ,3 ]
Lee, Madeline J. [1 ,2 ]
Khatri, Purvesh [2 ,4 ,5 ,6 ]
Blish, Catherine A. [1 ,2 ,3 ,4 ,7 ]
机构
[1] Stanford Univ, Stanford Immunol Program, Sch Med, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Med, Div Infect Dis & Geog Med, Sch Med, Stanford, CA 94305 USA
[3] Stanford Univ, Med Scientist Training Program, Sch Med, Stanford, CA 94305 USA
[4] Stanford Univ, Inst Immun Transplantat & Infect, Sch Med, Stanford, CA 94305 USA
[5] Ctr Biomed Informat Res, Dept Med, Stanford, CA 94305 USA
[6] Inflammatix Inc, Sunnyvale, CA 94085 USA
[7] Chan Zuckerberg Biohub, San Francisco, CA 94158 USA
基金
美国国家科学基金会;
关键词
Single-cell RNA sequencing; Antiviral immunity; Virus; Transcriptomics; MULTI-COHORT ANALYSIS; IN-VIVO; REVEALS; PROTEINS; HIV; TRANSCRIPTOMES; EXPRESSION; SIGNATURES; PROJECTION; DIVERSITY;
D O I
10.1007/s00281-022-00972-2
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
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.
引用
收藏
页码:71 / 89
页数:19
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