<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE151297" accession="SRP264980">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP264980</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA635406</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE151297</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Dynamic of H3K4me3-broad domains uncover an epigenetic switch between cell identity and cancer-related genes</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Other"/>
      <STUDY_ABSTRACT>Broad domains of H3K4 methylation have been associated with tissue specific, cell identity and tumor suppressor genes. Here, we identified broad H3K4me3 domains (BH4D)-associated genes in human thymic T cell populations and a collection of T-Acute Lymphoblastic Leukemia (T-ALL) primary samples and cell lines. We found that BH4D are highly dynamic throughout T cell differentiation, flag key leukemia associated oncogenes and distinguish between normal and neoplastic cells. Leukemic cells loss broad domains at T cell identity genes and gain broad domains at cancer-related genes. Moreover, the expression of genes, both coding and non-coding, associated with BH4D is frequently deregulated in T-ALL. Using an ex-vivo model we demonstrated that the ectopic expression of TLX3 oncogenic factor preferentially impact on the expression of BH4D-associated genes in T cell leukemia. Finally, an H3K4me3 demethylase inhibitor differentially targets T-ALL cell lines depending on the extend of the broad domains. Our results show that regulation of BH4D-associated genes is critical for leukemogenesis and suggest that association with BH4D might be used as epigenetic prioritization of cancer-relevant genes, including long non-coding RNAs Overall design: ChIP-seq of H3K4me3  from human T acute lymphoblastic blasts and cell lines</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE151297</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>34162697</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA689588</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
