<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE202965" accession="SRP375114">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP375114</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA837901</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE202965</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>A Multi-Organoid Platform Identifies CIART as a Key Factor for SARS-CoV-2 Infection [ATAC-seq]</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Other"/>
      <STUDY_ABSTRACT>COVID-19 is a systemic disease involving multiple organs. Human pluripotent stem cells (hPSCs) derived organoids/cells provide insight into cellular tropism and host response, yet the molecular mechanisms regulating SARS-CoV-2 infection remain poorly defined. Here, we systematically examined changes in transcript profiles caused by SARS-CoV-2 infection at different MOIs for airway organoids (AWOs), alveolar organoids (ALOs) and cardiomyocytes (CMs), and identified several genes, including CIART, that are generally implicated in controlling SARS-CoV-2 infection. AWOs, ALOs, and CMs derived from isogenic CIART-/- hPSCs were significantly resistant to SARS-CoV-2 infection, independent of viral entry. Single-cell RNA-seq further validated the decreased levels of SARS-CoV-2 infection in multi-ciliated cells of AWOs. CUT&amp;RUN, ATAC-seq and RNA-seq analyses found that CIART controls SARS-CoV-2 infection at least in part through regulating NR4A1, a gene also identified from the multi-organoid analysis. Finally, transcriptional profiling and pharmacological inhibition revealed that the Retinoid X Receptor (RXR) pathway regulates SARS-CoV-2 infection downstream of CIART/NR4A1. The multi-organoid platform provides potential therapeutic targets for protection against COVID-19 across organ systems. Overall design: WT and CIART-/- human pluripotentstem cells were differentiated into cardiomyocytes and used for ATAC-seq analysis.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE202965</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>36918693</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA837892</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
