<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE125444" accession="SRP181146">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP181146</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA516419</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE125444</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Targeting the NFAT:AP-1 transcriptional complex on DNA with a small-molecule inhibitor II</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>The transcription factor NFAT has a key role in both T cell activation and tolerance and has emerged as an important target of immune modulation. NFAT directs the effector arm of the immune response in the presence of AP-1, and T cell anergy/exhaustion in the absence of AP-1. Envisioning a strategy for selective modulation of the immune response, we designed a FRET-based high-throughput screen to identify compounds that disrupt the NFAT:AP-1:DNA complex. We screened ~202,000 small organic compounds and identified 337 candidate inhibitors. We focus here on one compound, N-(3-acetamidophenyl)-2-[5-(1H-benzimidazol-2-yl)pyridin-2-yl]sulfanylacetamide (Compound 10), which disrupts the NFAT:AP-1 interaction at the composite ARRE-2 site without affecting the binding of NFAT or AP-1 alone to DNA. Compound 10 binds to DNA in a sequence-selective manner and inhibits the transcription of the Il2 gene and several other CsA-sensitive cytokine genes important for the effector immune response. This study provides proof-of-concept that small molecules can inhibit the assembly of specific DNA-protein complexes, and opens a potential new approach to treat human diseases where known transcription factors are deregulated. Overall design: Comparison of total CD4+ T cells exposed to a chemical inhibitor of NFAT:AP-1 vs vehicle</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE125444</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA516414</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
