<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE231367" accession="SRP435365">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP435365</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA964592</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE231367</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Earthworm chromatin accessibility atlas with 10x Genomics</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Whole Genome Sequencing"/>
      <STUDY_ABSTRACT>The assay for transposase-accessible chromatin using sequencing (ATAC-seq) at single-cell level can provide different perspectives of regulatory patterns based on  cell type-specific accessible regions.  While human genomic elements have been well studied, understanding how nuclear acid sequence regulates the expression of target genes in a genome-wide level in other organisms remains a major challenge. Batch effects, expensive machines are still constraints nowadays to build a cross-species landscape for further analysis, a platform with high throughput and low cost will be extremely required.Here, we constructed a cross-species accessible chromatin landscape by combinatorial-hybridization-based single-cell ATAC-seq, a single-cell ATAC-seq platform with high throughput and signal-noise ratio using fresh nuclei as input. Overall design: Whole bodies of wild-type  Eisenia andrei at 4 months were  dissociated into single-nucleus suspensions, followed by single-cell DNA library construction, high-throughput sequencing, and bioinformatics analysis.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE231367</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>38330939</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA971144</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
