<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE106683" accession="SRP124622">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP124622</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA417671</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE106683</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>The Zmiz1-Notch1 interaction induces Myc expression to drive steady state and stress thymopoiesis [DN3]</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>Notch1 signaling ramps up to very high levels in order to drive CD4-CD8- double-negative (DN) thymocytes to the CD4+CD8+ double-positive (DP) stage. During this important phase of T-cell development, which is known as the DN-DP transition, it is unclear whether the Notch1 complex simply strengthens its signal output as an isolated unit or recruits cofactors to amplify its signals. We previously showed that the PIAS-like coactivator Zmiz1 is a direct and context-dependent cofactor of Notch1 in T-cell leukemia. Using conditional knockout mouse models, we show that like inactivation of Notch, inactivation of Zmiz1 impaired the DN-DP transition under steady state and stress conditions. To determine mechanism, we performed RNA-Seq on sorted DN3 cells that were deprived of Zmiz1 signals either acutely (DeltaTamCre) or chronically (DeltaMxCre). To differentiate Notch1-independent from Notch1-dependent target genes, we also performed RNA-Seq on DN3 cells that were deprived of Notch1 signals using the anti-NRR Notch1 antibody. Our data suggests that Zmiz1 selectively amplifies a subset of Notch1 target genes in DN3 cells, such as Myc. Overall design: RNA-Seq in murine DN3 thymocytes</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE106683</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>30076146</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA477341</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
