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  • Diagnosis and typing of influenza using fluorescent barcoded probes

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    Author(s)
    Huang, Bixing
    West, Nicholas P
    Vider, Jelena
    Cox, Amanda J
    Constantino, Tanya
    Harrower, Bruce J
    Pyke, Alyssa T
    McMahon, Jamie
    Northill, Judith A
    Riordan, Tim
    Warrilow, David
    Griffith University Author(s)
    West, Nic P.
    Vider, Jelena
    Cox, Amanda J.
    Year published
    2017
    Metadata
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    Abstract
    In this work, we explore a new hybridization technology using barcoded probes which has large-scale multiplexing capability. We used influenza virus to test whether the technology has application in virus diagnostics. Typing of influenza virus strains is an important aspect of global health surveillance. Standard typing procedures use serological or amplification-based assays performed sequentially. By comparison, the hybridization technology was correctly able to detect, type and subtype influenza A and B virus strains directly from clinical samples in a single reaction without prior virus isolation or amplification. Whilst ...
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    In this work, we explore a new hybridization technology using barcoded probes which has large-scale multiplexing capability. We used influenza virus to test whether the technology has application in virus diagnostics. Typing of influenza virus strains is an important aspect of global health surveillance. Standard typing procedures use serological or amplification-based assays performed sequentially. By comparison, the hybridization technology was correctly able to detect, type and subtype influenza A and B virus strains directly from clinical samples in a single reaction without prior virus isolation or amplification. Whilst currently not as sensitive as amplification-based assays, these results are a first-step towards application of this technology to the detection and typing of influenza and other viruses.
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    Journal Title
    Scientific Reports
    Volume
    7
    Issue
    1
    DOI
    https://doi.org/10.1038/s41598-017-18333-7
    Copyright Statement
    © The Author(s) 2017. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
    Subject
    Other health sciences not elsewhere classified
    Other biomedical and clinical sciences not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/371102
    Collection
    • Journal articles

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