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High-content, arrayed compound screens with rhinovirus, influenza A virus and herpes simplex virus infections

Olszewski, Dominik; Georgi, Fanny; Murer, Luca; Andriasyan, Vardan; Kuttler, Fabien; Petkidis, Anthony; Witte, Robert; Yakimovich, Artur; Fischer, Lucy; Rozanova, Alina; Yamauchi, Yohei; Turcatti, Gerardo; Greber, Urs F (2022). High-content, arrayed compound screens with rhinovirus, influenza A virus and herpes simplex virus infections. Scientific Data, 9:610.

Abstract

Viruses are genetically and structurally diverse, and outnumber cells by orders of magnitude. They can cause acute and chronic infections, suppress, or exacerbate immunity, or dysregulate survival and growth of cells. To identify chemical agents with pro- or antiviral effects we conducted arrayed high-content image-based multi-cycle infection screens of 1,280 mainly FDA-approved compounds with three human viruses, rhinovirus (RV), influenza A virus (IAV), and herpes simplex virus (HSV) differing in genome organization, composition, presence of an envelope, and tropism. Based on Z’-factors assessing screening quality and Z-scores ranking individual compounds, we identified potent inhibitors and enhancers of infection: the RNA mutagen 5-Azacytidine against RV-A16; the broad-spectrum antimycotic drug Clotrimazole inhibiting IAV-WSN; the chemotherapeutic agent Raltitrexed blocking HSV-1; and Clobetasol enhancing HSV-1. Remarkably, the topical antiseptic compound Aminacrine, which is clinically used against bacterial and fungal agents, inhibited all three viruses. Our data underscore the versatility and potency of image-based, full cycle virus propagation assays in cell-based screenings for antiviral agents.

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
Uncontrolled Keywords:Library and Information Sciences, Statistics, Probability and Uncertainty, Computer Science Applications, Education, Information Systems, Statistics and Probability
Language:English
Date:8 October 2022
Deposited On:12 Oct 2022 07:45
Last Modified:28 Aug 2024 01:36
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/s41597-022-01733-4
PubMed ID:36209289
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  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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