The use of single-cell RNA-Seq to understand virus-host interactions.
Details
State: Public
Version: Final published version
Serval ID
serval:BIB_CD039323A8CC
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
The use of single-cell RNA-Seq to understand virus-host interactions.
Journal
Current opinion in virology
ISSN
1879-6265 (Electronic)
ISSN-L
1879-6257
Publication state
Published
Issued date
04/2018
Peer-reviewed
Oui
Volume
29
Pages
39-50
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't ; Review
Publication Status: ppublish
Publication Status: ppublish
Abstract
Single-cell analyses allow uncovering cellular heterogeneity, not only per se, but also in response to viral infection. Similarly, single cell transcriptome analyses (scRNA-Seq) can highlight specific signatures, identifying cell subsets with particular phenotypes, which are relevant in the understanding of virus-host interactions.
Keywords
Gene Expression Profiling/methods, High-Throughput Nucleotide Sequencing, Host-Pathogen Interactions, Phenotype, RNA, Viral/genetics, Sequence Analysis, RNA, Single-Cell Analysis, Transcriptome, Workflow
Pubmed
Web of science
Open Access
Yes
Create date
22/03/2018 18:48
Last modification date
21/11/2022 9:29
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