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  <identifier identifierType="DOI">10.18453/rosdok_id00005005</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Salti, Haitham</creatorName>
      <givenName>Haitham</givenName>
      <familyName>Salti</familyName>
      <nameIdentifier nameIdentifierScheme="GND" schemeURI="http://d-nb.info/gnd/">http://d-nb.info/gnd/1381808670</nameIdentifier>
    </creator>
  </creators>
  <titles>
    <title>Establishment of a human 3D kidney tissue model using decellularized rat kidney slices</title>
  </titles>
  <publisher>Universität Rostock</publisher>
  <publicationYear>2024</publicationYear>
  <resourceType resourceTypeGeneral="Text" />
  <subjects>
    <subject xml:lang="en" schemeURI="http://dewey.info/" subjectScheme="dewey">570 Life science</subject>
  </subjects>
  <dates>
    <date dateType="Created">2024</date>
  </dates>
  <language>en</language>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="PURL">https://purl.uni-rostock.de/rosdok/id00005005</alternateIdentifier>
    <alternateIdentifier alternateIdentifierType="URN">urn:nbn:de:gbv:28-rosdok_id00005005-3</alternateIdentifier>
  </alternateIdentifiers>
  <descriptions>
    <description descriptionType="Abstract">This study explores physical pretreatments to improve kidney decellularization, addressing the need for a bioartificial kidney as an alternative treatment for end-stage renal disease. Freezing-thawing cycles (FTC) and high hydrostatic pressure (HHP) were compared to chemical decellularization. FTC was the most effective in removing DNA and preserving the extracellular matrix (ECM), and showed better scaffold recellularization with kidney cells. Analysis with artificial intelligence revealed insights into the instructive memory of the ECM, guiding cells to avoid attachment to nonspecific sites.</description>
  </descriptions>
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