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Nanobody-based sandwich reporter system for living cell sensing influenza A virus infection

The influenza epidemic is a huge burden to public health. Current influenza vaccines provide limited protection against new variants due to frequent mutation of the virus. The continual emergence of novel variants necessitates the method rapidly monitoring influenza virus infection in experimental s...

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Autores principales: Cao, Jiali, Zhong, Nicole, Wang, Guosong, Wang, Mingfeng, Zhang, Baohui, Fu, Baorong, Wang, Yingbin, Zhang, Tianying, Zhang, Yali, Yang, Kunyu, Chen, Yixin, Yuan, Quan, Xia, Ningshao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6828950/
https://www.ncbi.nlm.nih.gov/pubmed/31685871
http://dx.doi.org/10.1038/s41598-019-52258-7
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author Cao, Jiali
Zhong, Nicole
Wang, Guosong
Wang, Mingfeng
Zhang, Baohui
Fu, Baorong
Wang, Yingbin
Zhang, Tianying
Zhang, Yali
Yang, Kunyu
Chen, Yixin
Yuan, Quan
Xia, Ningshao
author_facet Cao, Jiali
Zhong, Nicole
Wang, Guosong
Wang, Mingfeng
Zhang, Baohui
Fu, Baorong
Wang, Yingbin
Zhang, Tianying
Zhang, Yali
Yang, Kunyu
Chen, Yixin
Yuan, Quan
Xia, Ningshao
author_sort Cao, Jiali
collection PubMed
description The influenza epidemic is a huge burden to public health. Current influenza vaccines provide limited protection against new variants due to frequent mutation of the virus. The continual emergence of novel variants necessitates the method rapidly monitoring influenza virus infection in experimental systems. Although several replication-competent reporter viruses carrying fluorescent proteins or small luciferase have been generated in previous studies, visualizing influenza virus infection via such strategy requires reverse genetic modification for each viral strain which is usually time-consuming and inconvenient. Here, we created a novel influenza A nucleoprotein (NP) dependent reporter gene transcription activation module using NP-specific nanobodies. Our results demonstrated the modular design allowed reporter genes (mNeonGreen fluorescent protein and Gaussia luciferase) specifically expressing to detect intracellular NP protein, and therefore acts as a universal biosensor to monitor infection of various influenza A subtypes in living cells. The new system may provide a powerful tool to analyze influenza A infections at the cellular level to facilitate new antiviral drug discovery. Moreover, this approach may easily extend to develop live-cell biosensors for other viruses.
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spelling pubmed-68289502019-11-12 Nanobody-based sandwich reporter system for living cell sensing influenza A virus infection Cao, Jiali Zhong, Nicole Wang, Guosong Wang, Mingfeng Zhang, Baohui Fu, Baorong Wang, Yingbin Zhang, Tianying Zhang, Yali Yang, Kunyu Chen, Yixin Yuan, Quan Xia, Ningshao Sci Rep Article The influenza epidemic is a huge burden to public health. Current influenza vaccines provide limited protection against new variants due to frequent mutation of the virus. The continual emergence of novel variants necessitates the method rapidly monitoring influenza virus infection in experimental systems. Although several replication-competent reporter viruses carrying fluorescent proteins or small luciferase have been generated in previous studies, visualizing influenza virus infection via such strategy requires reverse genetic modification for each viral strain which is usually time-consuming and inconvenient. Here, we created a novel influenza A nucleoprotein (NP) dependent reporter gene transcription activation module using NP-specific nanobodies. Our results demonstrated the modular design allowed reporter genes (mNeonGreen fluorescent protein and Gaussia luciferase) specifically expressing to detect intracellular NP protein, and therefore acts as a universal biosensor to monitor infection of various influenza A subtypes in living cells. The new system may provide a powerful tool to analyze influenza A infections at the cellular level to facilitate new antiviral drug discovery. Moreover, this approach may easily extend to develop live-cell biosensors for other viruses. Nature Publishing Group UK 2019-11-04 /pmc/articles/PMC6828950/ /pubmed/31685871 http://dx.doi.org/10.1038/s41598-019-52258-7 Text en © The Author(s) 2019 Open Access 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/.
spellingShingle Article
Cao, Jiali
Zhong, Nicole
Wang, Guosong
Wang, Mingfeng
Zhang, Baohui
Fu, Baorong
Wang, Yingbin
Zhang, Tianying
Zhang, Yali
Yang, Kunyu
Chen, Yixin
Yuan, Quan
Xia, Ningshao
Nanobody-based sandwich reporter system for living cell sensing influenza A virus infection
title Nanobody-based sandwich reporter system for living cell sensing influenza A virus infection
title_full Nanobody-based sandwich reporter system for living cell sensing influenza A virus infection
title_fullStr Nanobody-based sandwich reporter system for living cell sensing influenza A virus infection
title_full_unstemmed Nanobody-based sandwich reporter system for living cell sensing influenza A virus infection
title_short Nanobody-based sandwich reporter system for living cell sensing influenza A virus infection
title_sort nanobody-based sandwich reporter system for living cell sensing influenza a virus infection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6828950/
https://www.ncbi.nlm.nih.gov/pubmed/31685871
http://dx.doi.org/10.1038/s41598-019-52258-7
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