| Literature DB >> 29933516 |
Seong Cheol Hong1, Dhiraj P Murale1, Se-Young Jang1, Md Mamunul Haque1, Minah Seo2, Seok Lee2, Deok Ha Woo2, Junghoon Kwon3, Chang-Seon Song3, Yun Kyung Kim4, Jun-Seok Lee1.
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.Entities:
Keywords: avian influenza; discrimination; fluorescent probes; principal component analysis; superoxide
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Year: 2018 PMID: 29933516 DOI: 10.1002/anie.201804412
Source DB: PubMed Journal: Angew Chem Int Ed Engl ISSN: 1433-7851 Impact factor: 15.336