<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE107706" accession="SRP126166">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP126166</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA421166</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE107706</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Enhancer remodeling promotes resistance to epigenetic-targeted therapy and engenders tumor cell vulnerabilities</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Other"/>
      <STUDY_ABSTRACT>Drug resistance is a major clinical challenge in achieving durable responses to targeted cancer therapeutics.  Resistance mechanisms to new classes of epigenetic-targeted drugs entering the clinic remain largely unexplored.  We used BET inhibition in MYCN-amplified neuroblastoma as a prototype to model innate and acquired resistance to chromatin remodeling inhibitors in cancer. Genome-scale, pooled lentiviral ORF and CRISPR knockout rescue screens nominated the PI3K pathway as a key signaling node that mediates resistance to BET inhibition. Overall design: ChIP-seq for H3K27Ac and input on JQ1 resistant and naive SK-N-BE(2)-C neuroblastoma cells  engineered to overexpress either GFP control or PI3K,  treated with vehicle or JQ1 for 24 hours, 1 biological replicate per condition;   ChIP-seq for H3K27Ac and input on JQ1 resistant and naive Kelly  neuroblastoma cells   treated with vehicle or JQ1 for 24 hours, 1 biological replicate per condition; ChIP-seq for BRD4 and input on JQ1 resistant and naive SK-N-BE(2)-C neuroblastoma cells  treated with vehicle or JQ1 for 24 hours, 1 biological replicate per condition.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE107706</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>30537514</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA421161</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
