Dissecting viral infections, one cell at a time, by single-cell technologies.

Host–pathogen interactions Single-cell technologies Viruses

Journal

Microbes and infection
ISSN: 1769-714X
Titre abrégé: Microbes Infect
Pays: France
ID NLM: 100883508

Informations de publication

Date de publication:
24 Nov 2023
Historique:
received: 31 05 2023
revised: 22 10 2023
accepted: 21 11 2023
pubmed: 27 11 2023
medline: 27 11 2023
entrez: 26 11 2023
Statut: aheadofprint

Résumé

The meteoric rise of single-cell genomic technologies, especially of single-cell RNA-sequencing (scRNA-seq), has revolutionized several fields of cellular biology, especially immunology, oncology, neuroscience and developmental biology. While the field of virology has been relatively slow to adopt these technological advances, many works have shed new light on the fascinating interactions of viruses with their hosts using single cell technologies. One clear example is the multitude of studies dissecting viral infections by single-cell sequencing technologies during the recent COVID-19 pandemic. In this review we will detail the advantages of studying viral infections at a single-cell level, how scRNA-seq technologies can be used to achieve this goal and the associated technical limitations, challenges and solutions. We will highlight recent biological discoveries and breakthroughs in virology enabled by single-cell analyses and will end by discussing possible future directions of the field. Given the rate of publications in this exciting new frontier of virology, we have likely missed some important works and we apologize in advance to the researchers whose work we have failed to cite.

Identifiants

pubmed: 38008398
pii: S1286-4579(23)00171-5
doi: 10.1016/j.micinf.2023.105268
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105268

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Masson SAS.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no competing interests.

Auteurs

Pierre Bost (P)

University of Zurich, Department of Quantitative Biomedicine, Zurich, 8057, Switzerland; ETH Zurich, Institute for Molecular Health Sciences, Zurich, 8093 Switzerland. Electronic address: pierre.bost@uzh.ch.

Nir Drayman (N)

The Department of Molecular Biology and Biochemistry, The Center for Virus Research and The Center for Complex Biological Systems, The University of California, Irvine, CA, 92697, USA.

Classifications MeSH