<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE186850" accession="SRP343787">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP343787</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA776287</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE186850</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>PRMT5 deficiency enforces the transcriptional and epigenetic programs of Klrg1+CD8+ terminal effector T cells [CHIP-seq]</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Other"/>
      <STUDY_ABSTRACT>Protein arginine methyltransferase 5 (PRMT5) participates in symmetric dimethylation of arginine residues of proteins and contributes to a wide range of biological processes. But how PRMT5 affects the transcriptional and epigenetic programs involved in the establishment and maintenance of T cell subsets differentiation and roles in antitumor immunity are still incompletely understood. Here, using the single cell RNA sequencing, CHIP-sequencing and bulk RNA sequencing, we found that mice T cell-specific deletion of PRMT5 had greater effects on CD8+ than CD4+ T cells development, enforcing CD8+ T cells differentiation into Klrg1+ terminal effector cells. Mechanically, T cells deficiency of PRMT5 activated Prdm1 by decreasing H4R3me2s and H3R8me2s deposition on its loci, which promote differentiation of Klrg1+CD8+ T cells. Furthermore, effector CD8+ T cells that transited into memory precursor cells were decreased in PRMT5 deficiency T cells thus caused dramatic CD8+ T cells death. Overall design: CD8+ T cells were isolated from control (n=5) and PRMT5 CKO (n=5) mice spleens and analyzed by ChIP-seq using antibodies to H4R3me2s and H3R8me2s.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE186850</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>34911774</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA776519</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
