A dengue type 2 reporter virus assay amenable to high-throughput screening.


Journal

Antiviral research
ISSN: 1872-9096
Titre abrégé: Antiviral Res
Pays: Netherlands
ID NLM: 8109699

Informations de publication

Date de publication:
11 2020
Historique:
received: 03 06 2020
revised: 27 08 2020
accepted: 02 09 2020
pubmed: 9 9 2020
medline: 16 7 2021
entrez: 8 9 2020
Statut: ppublish

Résumé

Dengue virus (DV) is an important mosquito-borne flavivirus threatening almost half of the world's population. Prophylaxis and potent anti-DV drugs are urgently needed. Here, we developed a high content imaging-based (HCI) assay with DV type 2 expressing the fluorescent protein mCherry (DV2/mCherry) to improve the efficiency and robustness of the drug discovery process. For the construction of the reporter virus, the mCherry gene followed by the ribosome-skipping 2A sequence of the Thosea asigna virus (T2A) was placed upstream of the full DV2 open reading frame. The biological characteristics including mCherry expression, virus replication rate, and plaque phenotype was examined and validated in BHK-21, Vero and C6/36 cells. A robust image-based antiviral assay combined with an automated robotic system was then developed, with a Z' factor of 0.73. To validate the image-based antiviral assay, a panel of reference compounds with different molecular mechanisms of anti-DV activity was assessed: (i) the glycosylation inhibitor, Celgosivir, (ii) two NS4b-targeting compounds: a 3-Acyl-indole derivative and NITD618, and (iii) two nucleoside viral polymerase inhibitors, 2'CMC and 7DMA. The inhibition profiles were quantified and obtained by means of HCI and RT-qPCR. Both methods resulted in very comparable inhibition profiles. In conclusion, a powerful and robust assay was developed with a fully automated data generation and processing pipeline. It makes the new reporter virus assay amenable to high-throughput screening of large libraries of small molecules.

Identifiants

pubmed: 32898584
pii: S0166-3542(20)30343-0
doi: 10.1016/j.antiviral.2020.104929
pii:
doi:

Substances chimiques

Antiviral Agents 0
Luminescent Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

104929

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Li-Hsin Li (LH)

KU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Virology and Chemotherapy, Leuven, Belgium; Molecular Vaccinology and Vaccine Discovery Group, Canada; GVN, Global Virus Network, USA.

Suzanne J F Kaptein (SJF)

KU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Virology and Chemotherapy, Leuven, Belgium; GVN, Global Virus Network, USA.

Michael A Schmid (MA)

KU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Virology and Chemotherapy, Leuven, Belgium.

Joanna Zmurko (J)

KU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Virology and Chemotherapy, Leuven, Belgium; Molecular Vaccinology and Vaccine Discovery Group, Canada.

Pieter Leyssen (P)

KU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Virology and Chemotherapy, Leuven, Belgium; GVN, Global Virus Network, USA.

Johan Neyts (J)

KU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Virology and Chemotherapy, Leuven, Belgium; Molecular Vaccinology and Vaccine Discovery Group, Canada; GVN, Global Virus Network, USA.

Kai Dallmeier (K)

KU Leuven, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Virology and Chemotherapy, Leuven, Belgium; Molecular Vaccinology and Vaccine Discovery Group, Canada; GVN, Global Virus Network, USA. Electronic address: kai.dallmeier@kuleuven.be.

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Classifications MeSH