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<nlm:aff id="aff1">Departments of *Molecular, Cellular, and Developmental Biology and</nlm:aff>
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<nlm:aff id="aff4">Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China;</nlm:aff>
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<name sortKey="Hu, Shaohui" sort="Hu, Shaohui" uniqKey="Hu S" first="Shaohui" last="Hu">Shaohui Hu</name>
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<name sortKey="Zhu, Xiaowei" sort="Zhu, Xiaowei" uniqKey="Zhu X" first="Xiaowei" last="Zhu">Xiaowei Zhu</name>
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<nlm:aff id="aff6">**College of Life Sciences, Agricultural University of Hebei, Hebei, Baoding 071001, China</nlm:aff>
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<name sortKey="Song, Qifeng" sort="Song, Qifeng" uniqKey="Song Q" first="Qifeng" last="Song">Qifeng Song</name>
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<name sortKey="Chen, Peng" sort="Chen, Peng" uniqKey="Chen P" first="Peng" last="Chen">Peng Chen</name>
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<name sortKey="Cameron, Mark" sort="Cameron, Mark" uniqKey="Cameron M" first="Mark" last="Cameron">Mark Cameron</name>
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<name sortKey="Wang, Jian" sort="Wang, Jian" uniqKey="Wang J" first="Jian" last="Wang">Jian Wang</name>
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<name sortKey="Wen, Jie" sort="Wen, Jie" uniqKey="Wen J" first="Jie" last="Wen">Jie Wen</name>
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<name sortKey="Chen, Weijun" sort="Chen, Weijun" uniqKey="Chen W" first="Weijun" last="Chen">Weijun Chen</name>
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<name sortKey="Compton, Susan" sort="Compton, Susan" uniqKey="Compton S" first="Susan" last="Compton">Susan Compton</name>
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<name sortKey="Snyder, Michael" sort="Snyder, Michael" uniqKey="Snyder M" first="Michael" last="Snyder">Michael Snyder</name>
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<nlm:aff id="aff1">Departments of *Molecular, Cellular, and Developmental Biology and</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="aff3">Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520;</nlm:aff>
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<title xml:lang="en" level="a" type="main">Severe acute respiratory syndrome diagnostics using a coronavirus protein microarray</title>
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<name sortKey="Zhu, Heng" sort="Zhu, Heng" uniqKey="Zhu H" first="Heng" last="Zhu">Heng Zhu</name>
<affiliation>
<nlm:aff id="aff1">Departments of *Molecular, Cellular, and Developmental Biology and</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="aff4">Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China;</nlm:aff>
</affiliation>
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<author>
<name sortKey="Hu, Shaohui" sort="Hu, Shaohui" uniqKey="Hu S" first="Shaohui" last="Hu">Shaohui Hu</name>
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<nlm:aff id="aff4">Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China;</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Jona, Ghil" sort="Jona, Ghil" uniqKey="Jona G" first="Ghil" last="Jona">Ghil Jona</name>
<affiliation>
<nlm:aff id="aff1">Departments of *Molecular, Cellular, and Developmental Biology and</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Zhu, Xiaowei" sort="Zhu, Xiaowei" uniqKey="Zhu X" first="Xiaowei" last="Zhu">Xiaowei Zhu</name>
<affiliation>
<nlm:aff id="aff3">Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520;</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kreiswirth, Nate" sort="Kreiswirth, Nate" uniqKey="Kreiswirth N" first="Nate" last="Kreiswirth">Nate Kreiswirth</name>
<affiliation>
<nlm:aff wicri:cut="; and" id="aff5">Department of Microbiology, Mount Sinai Hospital, Toronto, ON, Canada M5G 1X5</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Willey, Barbara M" sort="Willey, Barbara M" uniqKey="Willey B" first="Barbara M." last="Willey">Barbara M. Willey</name>
<affiliation>
<nlm:aff wicri:cut="; and" id="aff5">Department of Microbiology, Mount Sinai Hospital, Toronto, ON, Canada M5G 1X5</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Mazzulli, Tony" sort="Mazzulli, Tony" uniqKey="Mazzulli T" first="Tony" last="Mazzulli">Tony Mazzulli</name>
<affiliation>
<nlm:aff wicri:cut="; and" id="aff5">Department of Microbiology, Mount Sinai Hospital, Toronto, ON, Canada M5G 1X5</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Liu, Guozhen" sort="Liu, Guozhen" uniqKey="Liu G" first="Guozhen" last="Liu">Guozhen Liu</name>
<affiliation>
<nlm:aff id="aff4">Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China;</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="aff6">**College of Life Sciences, Agricultural University of Hebei, Hebei, Baoding 071001, China</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Song, Qifeng" sort="Song, Qifeng" uniqKey="Song Q" first="Qifeng" last="Song">Qifeng Song</name>
<affiliation>
<nlm:aff id="aff4">Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China;</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Chen, Peng" sort="Chen, Peng" uniqKey="Chen P" first="Peng" last="Chen">Peng Chen</name>
<affiliation>
<nlm:aff id="aff4">Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China;</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Cameron, Mark" sort="Cameron, Mark" uniqKey="Cameron M" first="Mark" last="Cameron">Mark Cameron</name>
<affiliation>
<nlm:aff wicri:cut="; and" id="aff5">Department of Microbiology, Mount Sinai Hospital, Toronto, ON, Canada M5G 1X5</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Tyler, Andrea" sort="Tyler, Andrea" uniqKey="Tyler A" first="Andrea" last="Tyler">Andrea Tyler</name>
<affiliation>
<nlm:aff wicri:cut="; and" id="aff5">Department of Microbiology, Mount Sinai Hospital, Toronto, ON, Canada M5G 1X5</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Wang, Jian" sort="Wang, Jian" uniqKey="Wang J" first="Jian" last="Wang">Jian Wang</name>
<affiliation>
<nlm:aff id="aff4">Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China;</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Wen, Jie" sort="Wen, Jie" uniqKey="Wen J" first="Jie" last="Wen">Jie Wen</name>
<affiliation>
<nlm:aff id="aff4">Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China;</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Chen, Weijun" sort="Chen, Weijun" uniqKey="Chen W" first="Weijun" last="Chen">Weijun Chen</name>
<affiliation>
<nlm:aff id="aff4">Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China;</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Compton, Susan" sort="Compton, Susan" uniqKey="Compton S" first="Susan" last="Compton">Susan Compton</name>
<affiliation>
<nlm:aff wicri:cut=", and" id="aff2">Comparative Medicine</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Snyder, Michael" sort="Snyder, Michael" uniqKey="Snyder M" first="Michael" last="Snyder">Michael Snyder</name>
<affiliation>
<nlm:aff id="aff1">Departments of *Molecular, Cellular, and Developmental Biology and</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="aff3">Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520;</nlm:aff>
</affiliation>
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<title level="j">Proceedings of the National Academy of Sciences of the United States of America</title>
<idno type="ISSN">0027-8424</idno>
<idno type="eISSN">1091-6490</idno>
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<date when="2006">2006</date>
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<div type="abstract" xml:lang="en">
<p>To monitor severe acute respiratory syndrome (SARS) infection, a coronavirus protein microarray that harbors proteins from SARS coronavirus (SARS-CoV) and five additional coronaviruses was constructed. These microarrays were used to screen ≈400 Canadian sera from the SARS outbreak, including samples from confirmed SARS-CoV cases, respiratory illness patients, and healthcare professionals. A computer algorithm that uses multiple classifiers to predict samples from SARS patients was developed and used to predict 206 sera from Chinese fever patients. The test assigned patients into two distinct groups: those with antibodies to SARS-CoV and those without. The microarray also identified patients with sera reactive against other coronavirus proteins. Our results correlated well with an indirect immunofluorescence test and demonstrated that viral infection can be monitored for many months after infection. We show that protein microarrays can serve as a rapid, sensitive, and simple tool for large-scale identification of viral-specific antibodies in sera.</p>
</div>
</front>
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<pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Proc Natl Acad Sci U S A</journal-id>
<journal-id journal-id-type="publisher-id">PNAS</journal-id>
<journal-title>Proceedings of the National Academy of Sciences of the United States of America</journal-title>
<issn pub-type="ppub">0027-8424</issn>
<issn pub-type="epub">1091-6490</issn>
<publisher>
<publisher-name>National Academy of Sciences</publisher-name>
</publisher>
</journal-meta>
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<article-id pub-id-type="pmid">16537477</article-id>
<article-id pub-id-type="pmc">1449637</article-id>
<article-id pub-id-type="publisher-id">1448</article-id>
<article-id pub-id-type="doi">10.1073/pnas.0510921103</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Biological Sciences</subject>
<subj-group>
<subject>Applied Biological Sciences</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Severe acute respiratory syndrome diagnostics using a coronavirus protein microarray</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Heng</given-names>
</name>
<xref rid="aff1" ref-type="aff">*</xref>
<xref rid="aff4" ref-type="aff">
<sup></sup>
</xref>
<xref rid="fn1" ref-type="author-notes">
<sup></sup>
</xref>
<xref rid="fn2" ref-type="author-notes">
<sup>§</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Shaohui</given-names>
</name>
<xref rid="aff4" ref-type="aff">
<sup></sup>
</xref>
<xref rid="fn1" ref-type="author-notes">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jona</surname>
<given-names>Ghil</given-names>
</name>
<xref rid="aff1" ref-type="aff">*</xref>
<xref rid="fn1" ref-type="author-notes">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Xiaowei</given-names>
</name>
<xref rid="fn1" ref-type="author-notes">
<sup></sup>
</xref>
<xref rid="aff3" ref-type="aff">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kreiswirth</surname>
<given-names>Nate</given-names>
</name>
<xref rid="aff5" ref-type="aff">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Willey</surname>
<given-names>Barbara M.</given-names>
</name>
<xref rid="aff5" ref-type="aff">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mazzulli</surname>
<given-names>Tony</given-names>
</name>
<xref rid="aff5" ref-type="aff">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Guozhen</given-names>
</name>
<xref rid="aff4" ref-type="aff">
<sup></sup>
</xref>
<xref rid="aff6" ref-type="aff">**</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Qifeng</given-names>
</name>
<xref rid="aff4" ref-type="aff">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Peng</given-names>
</name>
<xref rid="aff4" ref-type="aff">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cameron</surname>
<given-names>Mark</given-names>
</name>
<xref rid="aff5" ref-type="aff">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tyler</surname>
<given-names>Andrea</given-names>
</name>
<xref rid="aff5" ref-type="aff">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Jian</given-names>
</name>
<xref rid="aff4" ref-type="aff">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wen</surname>
<given-names>Jie</given-names>
</name>
<xref rid="aff4" ref-type="aff">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Weijun</given-names>
</name>
<xref rid="aff4" ref-type="aff">
<sup></sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Compton</surname>
<given-names>Susan</given-names>
</name>
<xref rid="aff2" ref-type="aff">
<sup>††</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Snyder</surname>
<given-names>Michael</given-names>
</name>
<xref rid="aff1" ref-type="aff">*</xref>
<xref rid="aff3" ref-type="aff">
<sup></sup>
</xref>
<xref ref-type="corresp" rid="cor1">
<sup>‡‡</sup>
</xref>
</contrib>
<aff id="aff1">Departments of *Molecular, Cellular, and Developmental Biology and</aff>
<aff id="aff2">
<sup>††</sup>
Comparative Medicine, and</aff>
<aff id="aff3">
<sup></sup>
Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520;</aff>
<aff id="aff4">
<sup></sup>
Biochip Platform Division, Beijing Genomics Institute, Chinese Academy of Sciences, Beijing 101300, China;</aff>
<aff id="aff5">
<sup></sup>
Department of Microbiology, Mount Sinai Hospital, Toronto, ON, Canada M5G 1X5; and</aff>
<aff id="aff6">**College of Life Sciences, Agricultural University of Hebei, Hebei, Baoding 071001, China</aff>
</contrib-group>
<author-notes>
<corresp id="cor1">
<sup>‡‡</sup>
To whom correspondence should be addressed. E-mail:
<email>michael.snyder@yale.edu</email>
</corresp>
<fn fn-type="com">
<p>Communicated by Dieter Söll, Yale University, New Haven, CT, January 16, 2006</p>
</fn>
<fn fn-type="equal" id="fn1">
<p>
<sup></sup>
H.Z., S.H., G.J., and X.Z. contributed equally to this work.</p>
</fn>
<fn fn-type="present-address" id="fn2">
<p>
<sup>§</sup>
Present address: Department of Pharmacology and Molecular Sciences and the HiT Center, Johns Hopkins University School of Medicine, Baltimore, MD 21205.</p>
</fn>
<fn fn-type="con">
<p>Author contributions: H.Z., S.H., G.J., B.M.W., and M.S. designed research; H.Z., S.H., G.J., N.K., B.M.W., and T.M. performed research; H.Z., S.H., G.J., X.Z., N.K., B.M.W., T.M., G.L., Q.S., P.C., M.C., A.T., J. Wang, J. Wen, W.C., S.C., and M.S. contributed new reagents/analytic tools; X.Z., M.S., and G.J. analyzed data; and H.Z., G.J., X.Z., B.M.W., and M.S. wrote the paper.</p>
</fn>
<fn fn-type="conflict">
<p>Conflict of interest statement: M.S. consults for Invitrogen.</p>
</fn>
</author-notes>
<pub-date pub-type="ppub">
<day>14</day>
<month>3</month>
<year>2006</year>
</pub-date>
<pub-date pub-type="epub">
<day>7</day>
<month>3</month>
<year>2006</year>
</pub-date>
<volume>103</volume>
<issue>11</issue>
<fpage>4011</fpage>
<lpage>4016</lpage>
<history>
<date date-type="received">
<day>10</day>
<month>10</month>
<year>2005</year>
</date>
</history>
<copyright-statement>© 2006 by The National Academy of Sciences of the USA</copyright-statement>
<copyright-year>2006</copyright-year>
<abstract>
<p>To monitor severe acute respiratory syndrome (SARS) infection, a coronavirus protein microarray that harbors proteins from SARS coronavirus (SARS-CoV) and five additional coronaviruses was constructed. These microarrays were used to screen ≈400 Canadian sera from the SARS outbreak, including samples from confirmed SARS-CoV cases, respiratory illness patients, and healthcare professionals. A computer algorithm that uses multiple classifiers to predict samples from SARS patients was developed and used to predict 206 sera from Chinese fever patients. The test assigned patients into two distinct groups: those with antibodies to SARS-CoV and those without. The microarray also identified patients with sera reactive against other coronavirus proteins. Our results correlated well with an indirect immunofluorescence test and demonstrated that viral infection can be monitored for many months after infection. We show that protein microarrays can serve as a rapid, sensitive, and simple tool for large-scale identification of viral-specific antibodies in sera.</p>
</abstract>
<kwd-group>
<kwd>infectious disease</kwd>
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<kwd>virus diagnostics</kwd>
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</front>
</pmc>
</record>

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