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  <identifier identifierType="DOI">10.18453/rosdok_id00004514</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Sueto, Salem Oduro Beffi</creatorName>
      <givenName>Salem Oduro Beffi</givenName>
      <familyName>Sueto</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/1315138387</nameIdentifier>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">https://orcid.org/0000-0002-2829-8254</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Microarray transcriptomics analysis of Hutchinson-Gilford progeria genetic disease and the exploitation of dual RNA-seq technology to unveil host-pathogen interaction</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2023</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">000 Generalities, Science</subject>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">004 Data processing Computer sciences</subject>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">610 Medical sciences Medicine</subject>
  </subjects>
  <dates>
    <date dateType="Created">2023</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">https://purl.uni-rostock.de/rosdok/id00004514</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-rosdok_id00004514-9</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">The present work uses transcriptomics data from the microarray platform to study the biological imprint of Hutchinson-Gilford progeria syndrome and other senescence processes such as telomere elongation. Literature review of drug repurposing analysis was conducted to find tools that use transcriptomics data as input. RNA-seq technology was used to simultaneously study the gene expression of both the host (human) and the pathogen (S. pyogenes and Influenza A virus). The host expression was used as input for drug repurposing analysis to identify potential drugs for anti-infective treatment.</description>
  </descriptions>
</resource>
