4.7 Article Data Paper

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

Journal

SCIENTIFIC DATA
Volume 7, Issue 1, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41597-020-00604-0

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Funding

  1. Swiss National Science Foundation (SNSF) [316030_170799/1, 31003A_179256/1]
  2. SNSF National Research Program NCCR Chemical Biology
  3. Swiss National Science Foundation (SNF) [316030_170799] Funding Source: Swiss National Science Foundation (SNF)

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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.

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