The use of single-cell RNA-seq to study heterogeneity at varying levels of virus-host interactions.
PLoS Pathog
; 20(1): e1011898, 2024 Jan.
Article
in En
| MEDLINE
| ID: mdl-38236826
ABSTRACT
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.
Full text:
1
Database:
MEDLINE
Main subject:
Virus Diseases
/
Single-Cell Gene Expression Analysis
Limits:
Humans
Language:
En
Journal:
PLoS Pathog
Year:
2024
Type:
Article
Affiliation country:
United States