<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE186421" accession="SRP342723">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP342723</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA773770</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE186421</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Single-cell transcriptome profiling of the trigeminal ganglion of mice under normal and inflammatory pain conditions</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>Orofacial inflammation could lead to transcriptional alterations in the trigeminal ganglion (TG). In this study, we performed single-cell RNA-sequencing (scRNA-seq) analysis of mouse TG to identify all cell types and profile transcriptomic alterations of TG cells under inflammatory conditions. A total of 7 types of cells including endothelial cells, fibroblasts, glial cells, granulocytes, lymphocytes, monocyte-macrophages and several subtypes of neurons were identified. In addition, we performed annotation of neuronal subtypes and differential gene expression analysis among TG neurons, identifying several differential genes involved in pain modulation such as Scn10a, Zbtb20 and Runx1. Collectively, our study revealed the heterogeneity of TG cells and diverse neuronal transcriptomic responses to orofacial inflammation, which aids in the development of novel therapeutics for orofacial inflammatory pain. Overall design: 2 samples, 5-8 weeks mouse under control and inflammatory pain conditions respectively</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE186421</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>35722619</ID>
        </XREF_LINK>
      </STUDY_LINK>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>36818656</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
