<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE181002" accession="SRP330212">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP330212</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA750396</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE181002</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Single-cell RNA-seq of human kidney organoids</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>We used scRNA-Seq  (and other biological experiments) to study the impact of a high oscillatory glucose regime in the differentiation and metabolic status of human kidney organoids further emulating early hallmarks of the diabetic kidney. To study the interplay between those changes and SARS-CoV-2 infection we  assessed the effect of early stages of infection (1 day post infection) in normoglicemic (5 mM), hyperglicemic (5-25 mM oscillatory regime) and differentiating (11 mM) conditions. We retrieved metabolic changes and an upregulation of inflammatory related processes upon infection, whilst there was not an impact in the viability of the different cell types in the kidney organoids. Also, we studied the differences between ACE2 CRISPR/Cas9 knockouts and ACE2 WT organoids, using single cell RNA sequencing to resolve cell-type specific and cell proportion changes. Overall design: Single-cell RNA-seq of human kidney organoids</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE181002</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>35561674</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
