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dc.contributor.authorHong, Seong Cheol-
dc.contributor.authorMurale, Dhiraj P.-
dc.contributor.authorJang, Se-Young-
dc.contributor.authorHaque, Md. Mamunul-
dc.contributor.authorSeo, Minah-
dc.contributor.authorLee, Seok-
dc.contributor.authorWoo, Deok Ha-
dc.contributor.authorKwon, Junghoon-
dc.contributor.authorSong, Chang-Seon-
dc.contributor.authorKim, Yun Kyung-
dc.contributor.authorLee, Jun-Seok-
dc.date.accessioned2024-01-19T22:04:36Z-
dc.date.available2024-01-19T22:04:36Z-
dc.date.created2021-09-03-
dc.date.issued2018-07-26-
dc.identifier.issn1433-7851-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/121133-
dc.description.abstractThe 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.-
dc.languageEnglish-
dc.publisherJohn Wiley & Sons Ltd.-
dc.subjectA VIRUS-
dc.subjectCOLORIMETRIC IDENTIFICATION-
dc.subjectOXIDATIVE-STRESS-
dc.subjectSENSOR ARRAYS-
dc.subjectHYDROETHIDINE-
dc.subjectNANOPARTICLE-
dc.subjectMEMBRANE-
dc.subjectPROTEINS-
dc.subjectGLYCANS-
dc.subjectINJURY-
dc.titleDiscrimination of Avian Influenza Virus Subtypes using Host-Cell Infection Fingerprinting by a Sulfinate-based Fluorescence Superoxide Probe-
dc.typeArticle-
dc.identifier.doi10.1002/anie.201804412-
dc.description.journalClass1-
dc.identifier.bibliographicCitationAngewandte Chemie International Edition, v.57, no.31, pp.9716 - 9721-
dc.citation.titleAngewandte Chemie International Edition-
dc.citation.volume57-
dc.citation.number31-
dc.citation.startPage9716-
dc.citation.endPage9721-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000439741900021-
dc.identifier.scopusid2-s2.0-85050467185-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalResearchAreaChemistry-
dc.type.docTypeArticle-
dc.subject.keywordPlusA VIRUS-
dc.subject.keywordPlusCOLORIMETRIC IDENTIFICATION-
dc.subject.keywordPlusOXIDATIVE-STRESS-
dc.subject.keywordPlusSENSOR ARRAYS-
dc.subject.keywordPlusHYDROETHIDINE-
dc.subject.keywordPlusNANOPARTICLE-
dc.subject.keywordPlusMEMBRANE-
dc.subject.keywordPlusPROTEINS-
dc.subject.keywordPlusGLYCANS-
dc.subject.keywordPlusINJURY-
dc.subject.keywordAuthoravian influenza-
dc.subject.keywordAuthordiscrimination-
dc.subject.keywordAuthorfluorescent probes-
dc.subject.keywordAuthorprincipal component analysis-
dc.subject.keywordAuthorsuperoxide-
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KIST Article > 2018
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