<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE247234" accession="SRP470598">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP470598</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA1036670</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE247234</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Effect of deleting ultra-conserved elements PAX6_Tarzan, PBX3_Claudia on gene expression in K562 cells</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>Non-coding regulatory elements (NCRE) represent a major fraction of the human genome, play important roles in different biological pathways, and have the potential as genomic medicine targets. We developed a straightforward dual-CRISPR screening system capable of deleting thousands of NCREs genome-wide to study their functions in distinct biological contexts in K562 cells. Here we reported 4 top hits from the genome-wide screen of ultra-conserved elements (UCE), i.e. PAX6_Tarzan(chr11:31810437-31810870, hg19) and PBX3_Claudia(chr9:128457564-128457785, hg19) play essential roles in cell growth and drug response. Overall design: To investigate the function of the 2 top hits from the genome-wide ultra-conserved elements (UCE) genetic screen by the established dual-CRISPR system, we first generated the homologous ultra-conserved element deleted cell lines using our dual-CRISPR system. We then performed the gene expression analysis from the total RNA-seq of the different UCE-KO cell lines. By comparative gene expression profiling analysis using DESeq2, we identified the differentially expressed genes between the wild-type K562 cells and 2 derivatives UCE-KO cell lines.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE247234</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>38778183</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
