<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE126030" accession="SRP183443">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP183443</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA520832</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE126030</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>A single cell reference map for human blood and tissue T cell activation</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>Human T cells coordinate adaptive immunity by localization in diverse tissue sites, though blood T cells are the most readily studied.  We investigated the functional responses of T cells isolated from human lungs (LG), lymph nodes (LN), bone marrow (BM), and blood to TCR-stimulation using single-cell RNA-seq. We defined cellular states for resting T cells including signatures that differentiate tissue and blood T cells and employed new factorization methods to identify activation states conserved across tissues, including an IFN-response activation state in CD4+T cells and distinct effector states specific to CD8+T cells. We demonstrate how this high-resolution map can be used to assess the origin and functional state of T cells in disease by projecting scRNAseq profiles of tumor-associated T cells from multiple cancers, revealing CD8 T cells that co-express markers of exhaustion, activation, and proliferation, and a lack of activated CD4 T cells. Our results establish a high-dimensional reference for human T cell homeostasis and function in multiple sites, from which to probe T cell dysfunction in disease. Overall design: Single-cell RNA-sequencing of control and and anti-CD3/anti-CD28 stimulated T cells from human lung, lymph node, bone marrow and blood.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE126030</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>31624246</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
