<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE123404" accession="SRP172701">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP172701</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA508642</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE123404</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>The impact of pro-inflammatory cytokines on the ß-cell regulatory landscape provides insights into the genetics of type 1 diabtes [ATAC-seq]</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Other"/>
      <STUDY_ABSTRACT>Early stages of type 1 diabetes (T1D) are characterized by local autoimmune inflammation and progressive loss of insulin-producing pancreatic ß cells. We show here that exposure to pro-inflammatory cytokines unmasks a striking plasticity of the ß-cell regulatory landscape. We expand the repertoire of human islet regulatory elements by mapping stimulus-responsive enhancers linked to changes in the ß-cell transcriptome, proteome and 3D chromatin structure. Our data indicates that the ß cell response to cytokines is mediated by the induction of novel regulatory regions as well as the activation of primed regulatory elements pre-bound by islet-specific transcription factors. We found that T1D-associated loci are enriched of the newly mapped cis-regulatory regions and identify T1D-associated variants disrupting cytokine-responsive enhancer activity in human ß cells. Our study illustrates how ß cells respond to a pro-inflammatory environment and implicate a role for stimulus-response islet enhancers in T1D. Overall design: ATAC-seq performed in control and cytokine-treated EndoC-ßH1 cells (3 replicates) and human pancreatic islet preparations (3 replicates) from non-diabetic cadaveric donors.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE123404</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>31676868</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
