<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE71134" accession="SRP061357">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP061357</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA290436</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE71134</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Injury-induced enhancer remodelling in spinal microglia - a novel mechanism for pain chronification? [ChIP-Seq]</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Other"/>
      <STUDY_ABSTRACT>Chronic pain is common and devastating. Yet, its precise molecular origins remain unclear. The condition induces well-characterised changes in neurons and microglia, but it is unknown why they persist long after the precipitating injury has healed. We posit a role for enhancers - regions of open chromatin that define a cell’s transcription factor binding profile. Enhancer profiles can alter upon environmental stimulation, functioning as a kind of molecular memory. Here, a mouse model of persistent neuropathic pain was used to examine microglial enhancers with flow cytometry and sequencing. We observed injury-specific alterations of enhancers in close proximity to transcriptionally regulated genes. Our data also shine light on details relating to the spinal cord immune response and provide the first genome-wide gene expression profile of isolated microglia in a pain state. We hypothesise that enhancer deposition may constitute a novel mechanism by which painful experiences are encoded on a molecular level. Overall design: ChIP-seq and RNA-seq of isolated spinal cord microglia after peripheral spinal nerve ligation or sham surgery in mice (day 7)</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE71134</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>27184839</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA290434</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
