Discrimination of Avian Influenza Virus Subtypes using Host-Cell Infection Fingerprinting by a Sulfinate-based Fluorescence Superoxide Probe

Seong Cheol Hong, Dhiraj P. Murale, Se Young Jang, Md Mamunul Haque, Minah Seo, Seok Lee, Deok Ha Woo, Junghoon Kwon, Chang Seon Song, Yun Kyung Kim, Jun Seok Lee

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)9716-9721
Number of pages6
JournalAngewandte Chemie - International Edition
Volume57
Issue number31
DOIs
Publication statusPublished - 2018 Jul 26
Externally publishedYes

Keywords

  • avian influenza
  • discrimination
  • fluorescent probes
  • principal component analysis
  • superoxide

ASJC Scopus subject areas

  • Catalysis
  • Chemistry(all)

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