August 13, 2026 Dataset Open Access

Xu, Yang; Weltzsch, Jan Philipp; Kilian, Christoph; Steglich, Babett; Herkel, Johannes; Adlung, Lorenz; Schramm, Christoph; Gagliani, Nicola; Lohse, Ansgar Wilhelm

DataCite XML Export

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  <identifier identifierType="DOI">10.25592/uhhfdm.18135</identifier>
  <creators>
    <creator>
      <creatorName>Xu, Yang</creatorName>
    </creator>
    <creator>
      <creatorName>Weltzsch, Jan Philipp</creatorName>
    </creator>
    <creator>
      <creatorName>Kilian, Christoph</creatorName>
    </creator>
    <creator>
      <creatorName>Steglich, Babett</creatorName>
    </creator>
    <creator>
      <creatorName>Herkel, Johannes</creatorName>
    </creator>
    <creator>
      <creatorName>Adlung, Lorenz</creatorName>
    </creator>
    <creator>
      <creatorName>Schramm, Christoph</creatorName>
    </creator>
    <creator>
      <creatorName>Gagliani, Nicola</creatorName>
    </creator>
    <creator>
      <creatorName>Lohse, Ansgar Wilhelm</creatorName>
    </creator>
  </creators>
  <titles>
    <title>Integrative omics and phase IIa clinical trial identify TNF as key node in autoimmune hepatitis</title>
  </titles>
  <publisher>Universität Hamburg</publisher>
  <publicationYear>2026</publicationYear>
  <dates>
    <date dateType="Issued">2026-08-13</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://www.fdr.uni-hamburg.de/record/18135</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsPartOf">10.25592/uhhfdm.18134</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Processed single cell sequencing data from &lt;a href="https://www.sciencedirect.com/science/article/pii/S0168827826001200"&gt;Xu, Weltzsch, Kilian et al., J Hepat 2026&lt;/a&gt; . This repository contains an anonymized set of Seurat objects of the human single cell sequencing data and spatial transcriptomics, as well as DEG lists. Human single cell count matrices and spatial transcriptomics data are available under restricted access due to the data privacy. Access can be obtained by contacting Prof. Ansgar Lohse (a.lohse@uke.de), and signing a data transfer agreement.&lt;/p&gt;</description>
  </descriptions>
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