High-Content Screening and Computational Prediction Reveal Viral Genes That Suppress the Innate Immune Response.
expression systems
virus-host interactions
Journal
mSystems
ISSN: 2379-5077
Titre abrégé: mSystems
Pays: United States
ID NLM: 101680636
Informations de publication
Date de publication:
26 04 2022
26 04 2022
Historique:
pubmed:
24
3
2022
medline:
24
3
2022
entrez:
23
3
2022
Statut:
ppublish
Résumé
Suppression of the host innate immune response is a critical aspect of viral replication. Upon infection, viruses may introduce one or more proteins that inhibit key immune pathways, such as the type I interferon pathway. However, the ability to predict and evaluate viral protein bioactivity on targeted pathways remains challenging and is typically done on a single-virus or -gene basis. Here, we present a medium-throughput high-content cell-based assay to reveal the immunosuppressive effects of viral proteins. To test the predictive power of our approach, we developed a library of 800 genes encoding known, predicted, and uncharacterized human virus genes. We found that previously known immune suppressors from numerous viral families such as
Identifiants
pubmed: 35319251
doi: 10.1128/msystems.01466-21
pmc: PMC9040872
doi:
Substances chimiques
NF-kappa B
0
Viral Proteins
0
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, N.I.H., Extramural
Langues
eng
Pagination
e0146621Subventions
Organisme : HHS | National Institutes of Health (NIH)
ID : F32GM131585
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