<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE132959" accession="SRP201838">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP201838</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA549582</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE132959</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Systematic identification of immunotherapy targets using genome-scale in vivo CRISPR screens in CD8+ cytotoxic T cells [scRNA-Seq]</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>CD8+ cytotoxic T cells play essential roles in anti-tumor immune responses. Here, we performed in vivo screens in CD8+ T cells and identified regulators of tumor infiltration and killing, which are directly relevant to cancer immunotherapy. Unlike in vitro screens, the in vivo screen robustly re-identified canonical immunotherapy targets such as PD-1 and Tim-3, along with genes that have not been characterized in T cells. The infiltration and degranulation screens converged on an RNA helicase Dhx37. Dhx37 knockout enhanced the efficacy of antigen-specific CD8+ T cells against cancer in vivo. Immunological characterization in mouse and human CD8+ T cells revealed that DHX37 suppresses effector function, cytokine production, and T cell activation. Transcriptomic profiling and biochemical interrogation revealed a role for DHX37 in modulating the NF-kB pathway. These data demonstrated the power of high-throughput in vivo genetic screens for immunotherapy target discovery, and uncovered DHX37 as a functional regulator of CD8+ T cells. Overall design: Rag-/- were transplanted with E0771-mCherry-OVA cells. OT-1; Cas9 CD8+ T cells were harvested and transduced with either lenti-Vector or lenti-sgDhx37. Transduced T cells were then adoptively transferred into the tumor-bearing mice. Tumor-infiltrating lymphocytes were subsequently FACS isolated and subject to 10x Genomics single cell RNA-seq.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE132959</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>31442407</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>parent_bioproject</TAG>
        <VALUE>PRJNA549581</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
