<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE163252" accession="SRP298027">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP298027</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA685422</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE163252</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Single cell RNA-seq characterizes neural cell population in mouse dorsal root ganglion tissue</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>We characterized the cell population in mouse dorsal root ganglion using single cell RNA-seq experiment. The data was generated to test the ability of deconvolution method AdRoit. Neural tissues typically have many closely related neuronal cell types and subtypes. The complex population composition forms a challenging testing ground for evaluating and benchmarking the accuracy and robustness of deconvolution methods. Overall design: Perform single cell RNA-seq experiment on lumbar dorsal root ganglion tissue from 5 mice to characterize the neural cell population.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE163252</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>34686758</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
