December 1, 2021 Preprint Open Access

Petrillo, Mauro; Querci, Maddalena; Corbisier, Philippe; Marchini, Antonio; Buttinger , Gerhard; Van den Eede, Guy

MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">COVID-19, Omicron, RT-PCR, detection method</subfield>
  </datafield>
  <controlfield tag="005">20220622135211.0</controlfield>
  <datafield tag="500" ind1=" " ind2=" ">
    <subfield code="a">DECLARATION The scientific output expressed does not imply a policy position of the European Commission. Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use that might be made of this publication.</subfield>
  </datafield>
  <controlfield tag="001">5747872</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">European Commission, Joint Research Centre (JRC), Ispra, taly</subfield>
    <subfield code="a">Querci, Maddalena</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">European Commission, Joint Research Centre (JRC), Geel, Belgium</subfield>
    <subfield code="0">(orcid)0000-0002-4191-1391</subfield>
    <subfield code="a">Corbisier, Philippe</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">European Commission, Joint Research Centre (JRC), Geel, Belgium</subfield>
    <subfield code="a">Marchini, Antonio</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">European Commission, Joint Research Centre (JRC), Geel, Belgium</subfield>
    <subfield code="a">Buttinger , Gerhard</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">European Commission, Joint Research Centre (JRC), Geel, Belgium</subfield>
    <subfield code="a">Van den Eede, Guy</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">229037</subfield>
    <subfield code="z">md5:71ea34dd4f70ffe8b1c29b1911dc7de5</subfield>
    <subfield code="u">https://zenodo.org/record/5747872/files/OmMet-manuscript.pdf</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">132402</subfield>
    <subfield code="z">md5:b0ad8b0e661c9f2f1f6ee3bbda360e55</subfield>
    <subfield code="u">https://zenodo.org/record/5747872/files/Supplementary.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2021-12-01</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="p">user-covid-19</subfield>
    <subfield code="o">oai:zenodo.org:5747872</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Seidor Italy srl, Milano, Italy</subfield>
    <subfield code="0">(orcid)0000-0002-6782-4704</subfield>
    <subfield code="a">Petrillo, Mauro</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">In Silico Design of Specific Primer Sets for the Detection of B.1.1.529 SARS-CoV-2 Variant of Concern (Omicron)</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-covid-19</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;On 26 November 2021, the World Health Organization (WHO) classified variant B.1.1.529, reported earlier by the South African authorities as &amp;ldquo;Variant of Concern&amp;rdquo; with the name Omicron. The decision was taken because Omicron is bearing a number of mutations with a potential impact on its transmissibility, severity of disease following infection, as well as on the effectiveness of immune protection resulting from both vaccines and natural infection. In this paper, we present an &lt;em&gt;in silico&lt;/em&gt; developed RT-PCR based detection method (named OmMet) that was designed to be highly specific for the detection of the Omicron variant. Bioinformatic prediction tests demonstrate that the sequences in the primer sets are highly accurate, and do not match with genetic sequences of other viruses, including other coronaviruses or SARS-CoV-2 variants. The methodology presented does not rely on S-gene target failure (SGTF) of existing RT-PCR assays, widely used currently, but allows the direct specific identification of the variant B.1.1.529 (Omicron).&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.5747871</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.5747872</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">preprint</subfield>
  </datafield>
</record>