Discrimination of Avian Influenza Virus Subtypes using Host-Cell Infection Fingerprinting by a Sulfinate-based Fluorescence Superoxide Probe
- Authors
- Hong, Seong Cheol; Murale, Dhiraj P.; Jang, Se-Young; Haque, Md. Mamunul; Seo, Minah; Lee, Seok; Woo, Deok Ha; Kwon, Junghoon; Song, Chang-Seon; Kim, Yun Kyung; Lee, Jun-Seok
- Issue Date
- 2018-07-26
- Publisher
- John Wiley & Sons Ltd.
- Citation
- Angewandte Chemie International Edition, v.57, no.31, pp.9716 - 9721
- 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.
- Keywords
- A VIRUS; COLORIMETRIC IDENTIFICATION; OXIDATIVE-STRESS; SENSOR ARRAYS; HYDROETHIDINE; NANOPARTICLE; MEMBRANE; PROTEINS; GLYCANS; INJURY; A VIRUS; COLORIMETRIC IDENTIFICATION; OXIDATIVE-STRESS; SENSOR ARRAYS; HYDROETHIDINE; NANOPARTICLE; MEMBRANE; PROTEINS; GLYCANS; INJURY; avian influenza; discrimination; fluorescent probes; principal component analysis; superoxide
- ISSN
- 1433-7851
- URI
- https://pubs.kist.re.kr/handle/201004/121133
- DOI
- 10.1002/anie.201804412
- Appears in Collections:
- KIST Article > 2018
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