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                <text>Coronavirus</text>
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                <text>Dominio científico: Coronavirus</text>
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              <text>Establishment and Application of a Universal Coronavirus Screening Method Using MALDI-TOF Mass Spectrometry</text>
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              <text>Leshan Xiu, Chi Zhang, Zhiqiang Wu, Junping Peng</text>
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              <text>There are four human coronaviruses (HCoVs), distributed worldwide, that are associated with a range of respiratory symptoms. The discovery of severe acute respiratory syndrome (SARS)-CoV and Middle East respiratory syndrome (MERS)-CoV shows that HCoVs pose a significant threat to human health. Our work aims to develop a sensitive method (mCoV-MS) which can not only identify known HCoVs accurately, but also have the ability to provide clues for the emerging HCoVs. The method was performed using a MassARRAY matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) system. We developed a 17-plex analysis to detect six HCoVs in Panel A and another 17-plex analysis to detect Alphacoronavirus and Betacoronavirus in Panel B. All tested primers and probes for the mCoV-MS method were effective, with no cross-reactivity observed with other common respiratory viruses. To confirm the usefulness of the mCoV-MS method we screened 384 pharyngeal and/or anal swab samples collected from bats/rodents, and 131 nasal and throat swabs from human patients. The results showed good concordance with the results of metagenomic analysis or PCR-sequencing. The validation test showed mCoV-MS method can detect potentially pathogenic CoVs in Alphacoronavirus and Betacoronavirus and provide convincingly phylogenetic evidences about unknown CoVs. The mCoV-MS method is a sensitive assay that is relatively simple to carry out. We propose that this method be used to complement next generation sequencing technology for large-scale screening studies.</text>
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              <text>2017</text>
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              <text>coronavirus, human coronavirus, MALDI-TOF mass spectrometry, respiratory infection, detection</text>
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              <text>DOI: 10.3389/fmicb.2017.01510</text>
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              <text>Frontiers in Microbiology</text>
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          <name>Publisher</name>
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              <text>Frontiers Media S.A.</text>
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          <name>Coverage</name>
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              <text>Microbiology</text>
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              <text>EN</text>
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