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A high-content image-based drug screen of clinical compounds against cell transmission of adenovirus

Georgi, Fanny; Kuttler, Fabien; Murer, Luca; Andriasyan, Vardan; Witte, Robert; Yakimovich, Artur; Turcatti, Gerardo; Greber, Urs F (2020). A high-content image-based drug screen of clinical compounds against cell transmission of adenovirus. Scientific Data, 7(1):265.

Abstract

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.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Physical Sciences > Statistics and Probability
Physical Sciences > Information Systems
Social Sciences & Humanities > Education
Physical Sciences > Computer Science Applications
Social Sciences & Humanities > Statistics, Probability and Uncertainty
Social Sciences & Humanities > Library and Information Sciences
Uncontrolled Keywords:Statistics, Probability and Uncertainty, Statistics and Probability, Education, Library and Information Sciences, Information Systems, Computer Science Applications
Language:English
Date:1 December 2020
Deposited On:27 Aug 2020 15:12
Last Modified:23 Oct 2024 01:40
Publisher:Nature Publishing Group
ISSN:2052-4463
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.1038/s41597-020-00604-0
PubMed ID:32788590
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