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Discrimination of Avian Influenza Virus Subtypes using Host‐Cell Infection Fingerprinting by a Sulfinate‐based Fluorescence Superoxide Probe
Author(s) -
Hong Seong Cheol,
Murale Dhiraj P.,
Jang SeYoung,
Haque Md. Mamunul,
Seo Minah,
Lee Seok,
Woo Deok Ha,
Kwon Junghoon,
Song ChangSeon,
Kim Yun Kyung,
Lee JunSeok
Publication year - 2018
Publication title -
angewandte chemie
Language(s) - English
Resource type - Journals
eISSN - 1521-3757
pISSN - 0044-8249
DOI - 10.1002/ange.201804412
Subject(s) - subtyping , virus , virology , influenza a virus subtype h5n1 , influenza a virus , biology , host (biology) , computational biology , genetics , computer science , programming language
The current gold‐standard diagnosis method for avian influenza (AI) is an embryonic egg‐based hemagglutination assay followed by immunoblotting or PCR sequencing to confirm subtypes. It requires, however, specialized facilities to handle egg inoculation and incubation, and the subtyping methods relied on costly reagents. Now, the first differential sensing approach to distinguish AI subtypes is demonstrated using series of cell lines and a fluorescent sensor. Susceptibility of AI virus differs depending on genetic backgrounds of host cells. Cells were examined from different organ origins, and the infection patterns against a panel of cells were utilized for AI virus subtyping. To quantify AI infection, a highly cell‐permeable fluorescent superoxide sensor was designed to visualize infection. This differential sensing strategy successfully proved discriminations of AI subtypes and demonstrated as a useful primary screening platform to monitor a large number of samples.