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 2024-01-19T22:04:36Z 2024-01-19T22:04:36Z 2021-09-03 2018-07-26 1433-7851 https://pubs.kist.re.kr/handle/201004/121133 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. English John Wiley & Sons Ltd. A VIRUS COLORIMETRIC IDENTIFICATION OXIDATIVE-STRESS SENSOR ARRAYS HYDROETHIDINE NANOPARTICLE MEMBRANE PROTEINS GLYCANS INJURY Discrimination of Avian Influenza Virus Subtypes using Host-Cell Infection Fingerprinting by a Sulfinate-based Fluorescence Superoxide Probe Article 10.1002/anie.201804412 1 Angewandte Chemie International Edition, v.57, no.31, pp.9716 - 9721 Angewandte Chemie International Edition 57 31 9716 9721 scie scopus 000439741900021 2-s2.0-85050467185 Chemistry, Multidisciplinary Chemistry Article A VIRUS COLORIMETRIC IDENTIFICATION OXIDATIVE-STRESS SENSOR ARRAYS HYDROETHIDINE NANOPARTICLE MEMBRANE PROTEINS GLYCANS INJURY avian influenza discrimination fluorescent probes principal component analysis superoxide