<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY center_name="GEO" alias="GSE218359" accession="SRP408664">
    <IDENTIFIERS>
      <PRIMARY_ID>SRP408664</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject" label="primary">PRJNA903209</EXTERNAL_ID>
      <EXTERNAL_ID namespace="GEO">GSE218359</EXTERNAL_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>CD34+ HSPC  CITE-seq for day 0 and Day 1 and Day 4 under VPA</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Transcriptome Analysis"/>
      <STUDY_ABSTRACT>The regenerative potential of human hematopoietic stem cells (HSCs) is well established by to their ability of life-long blood cell production and cure of a wide range of hematological diseases upon transplantation. This regenerative potential depends on HSC self-renewal and the coordinated adaptation to metabolic stress conditions. This is especially critical during ex vivo culture/manipulation of HSCs that is frequently accompanied with loss of self-renewal potential resulting in stem cell exhaustion. We have previously reported that CD34+ human hematopoietic stem and progenitor cells (HSPC) can be efficiently reprogrammed and expanded to phenotypic HSCs with long-term repopulation capacity in the presence of cytokines and valproic acid (VPA). Here, we present evidence that the SIRT1-SIRT3 axis maintains the mitochondrial activity below a critical threshold by coordinating and retaining a transcriptional and metabolic landscape of human HSCs with long-term self-renewal properties during ex vivo HSC reprogramming. Overall design: We performed CITE-sequencing to obtain measurement at the protein and transcriptome level in order to measure these data simultaneously in before (day 0) and after cytokines and valproic acid (VPA) (day 1 and day 4).</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>GSE218359</CENTER_PROJECT_NAME>
    </DESCRIPTOR>
    <STUDY_LINKS>
      <STUDY_LINK>
        <XREF_LINK>
          <DB>pubmed</DB>
          <ID>37001723</ID>
        </XREF_LINK>
      </STUDY_LINK>
    </STUDY_LINKS>
  </STUDY>
</STUDY_SET>
