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High-Throughput cell-based immunofluorescence assays against influenza.

Authors :
Martinez-Gzegozewska Y
Rasmussen L
McKellip S
Manuvakhova A
Nebane NM
Reece AJ
Ruiz P
Sosa M
Bostwick R
Vinson P
Source :
SLAS discovery : advancing life sciences R & D [SLAS Discov] 2024 Jan; Vol. 29 (1), pp. 66-76. Date of Electronic Publication: 2023 Nov 02.
Publication Year :
2024

Abstract

A rapid drug discovery response to influenza outbreaks with the potential to reach pandemic status could help minimize the virus's impact by reducing the time to identify anti-influenza drugs. Although several anti-influenza strategies have been considered in the search for new drugs, only a few therapeutic agents are approved for clinical use. The cytopathic effect induced by the influenza virus in Madin Darby canine kidney (MDCK) cells has been widely used for high-throughput anti-influenza drug screening, but the fact that the MDCK cells are not human cells constitutes a disadvantage when searching for new therapeutic agents for human use. We have developed a highly sensitive cell-based imaging assay for the identification of inhibitors of influenza A and B virus that is high-throughput compatible using the A549 human cell line. The assay has also been optimized for the assessment of the neutralizing effect of anti-influenza antibodies in the absence of trypsin, which allows testing of purified antibodies and serum samples. This assay platform can be applied to full high-throughput screening campaigns or later stages requiring quantitative potency determinations for structure-activity relationships.<br />Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests.<br /> (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
2472-5560
Volume :
29
Issue :
1
Database :
MEDLINE
Journal :
SLAS discovery : advancing life sciences R & D
Publication Type :
Academic Journal
Accession number :
37925159
Full Text :
https://doi.org/10.1016/j.slasd.2023.10.008