<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE111457" accession="SRP134014">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP134014</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA437106</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE111457</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>SLAM-seq defines direct gene-regulatory functions of the BRD4-MYC axis [Quant-Seq]</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>Defining direct targets of transcription factors and regulatory pathways is key to understanding their role in physiology and disease. Here we combine SLAM-seq, a novel method for direct quantification of newly synthesized mRNAs, with pharmacological and rapid chemical-genetic perturbation to interrogate primary transcriptional targets of BRD4 and MYC and define the response to BET bromodomain inhibitors (BETi). While BRD4 acts as a global co-activator of Pol2-dependent transcription in a BET bromodomain-dependent manner, therapeutic BETi doses deregulate a small set of hypersensitive target genes. In contrast to BRD4, MYC primarily acts as a selective transcriptional activator that controls basic metabolic processes such as ribosome biogenesis and de-novo purine synthesis across diverse cancer contexts. Beyond defining primary regulatory functions of BRD4 and MYC in cancer, our study establishes a simple, robust and scalable approach to dissect direct transcriptional targets of any gene or pathway. Overall design: Baseline gene expression profiling of clonal cell lines engineered to express AID-tagged proteins and unedited controls by 3''mRNA sequencing.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE111457</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA437109</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
