A high-content image-based drug screen of clinical compounds against cell transmission of adenovirus.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
12 08 2020
12 08 2020
Historique:
received:
18
05
2020
accepted:
16
07
2020
entrez:
14
8
2020
pubmed:
14
8
2020
medline:
5
11
2020
Statut:
epublish
Résumé
Human adenoviruses (HAdVs) are fatal to immuno-suppressed individuals, but no effective anti-HAdV therapy is available. Here, we present a novel image-based high-throughput screening (HTS) platform, which scores the full viral replication cycle from virus entry to dissemination of progeny and second-round infections. We analysed 1,280 small molecular weight compounds of the Prestwick Chemical Library (PCL) for interference with HAdV-C2 infection in a quadruplicate, blinded format, and performed robust image analyses and hit filtering. We present the entire set of the screening data including all images, image analyses and data processing pipelines. The data are made available at the Image Data Resource (IDR, idr0081). Our screen identified Nelfinavir mesylate as an inhibitor of HAdV-C2 multi-round plaque formation, but not single round infection. Nelfinavir has been FDA-approved for anti-retroviral therapy in humans. Our results underscore the power of image-based full cycle infection assays in identifying viral inhibitors with clinical potential.
Identifiants
pubmed: 32788590
doi: 10.1038/s41597-020-00604-0
pii: 10.1038/s41597-020-00604-0
pmc: PMC7423605
doi:
Substances chimiques
Antiviral Agents
0
Small Molecule Libraries
0
Nelfinavir
HO3OGH5D7I
Types de publication
Dataset
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
265Subventions
Organisme : Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation)
ID : 316030_170799 / 1
Pays : International
Organisme : Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation)
ID : 31003A_179256 / 1
Pays : International
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