<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE250073" accession="SRP477747">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP477747</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA1051992</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE250073</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>RNA-seq and ATAC-seq profiling of mouse Sox2+ dental epithelial stem cell [RNA-seq]</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>While multiple human postnatal dental mesenchymal stem cell has been isolated, so far there is no available source of human dental epithelial stem cell (DESC) after permanent teeth were formed. Currently, we known very little of DESC. We generate transcriptome (RNA-seq) and epigenome (ATAC-seq) profiles of mouse DESC and comprehensively identify putative key transcription factor of DESC based on its molecular profiles. Overall design: We utilize a mouse line Sox2-GFP, in which GFP expression is driven by endogenous promoter of Sox2, to isolate mouse DESCs. Labial cervical loop (LaCL) region of P2 mouse lower incisors were dissected and kept in ice cold DMEM. Collagenase and Neutral Protease mixture were used to dissociate tissue to single cells. Sox2 positive and Sox2 negative cells were sorted with FACS. Smart-seq2 protocol were used to generate RNA-seq libraries. The improved ATAC-seq protocol (Omni-ATAC) were used to generate ATAC-seq libraries.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE250073</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
  </STUDY>
</STUDY_SET>
