MURAL - Maynooth University Research Archive Library



    HSPCs display within-family homogeneity in differentiation and proliferation despite population heterogeneity


    Tak, Tamar and Prevedello, Giulio and Simon, Gaël and Paillon, Noémie and Benlabiod, Camélia and Marty, Caroline and Plo, Isabelle and Duffy, Ken R and Perié, Leïla (2021) HSPCs display within-family homogeneity in differentiation and proliferation despite population heterogeneity. eLife, 10 (e60624). ISSN 2050-084X

    [img]
    Preview
    Download (4MB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    High-throughput single-cell methods have uncovered substantial heterogeneity in the pool of hematopoietic stem and progenitor cells (HSPCs), but how much instruction is inherited by offspring from their heterogeneous ancestors remains unanswered. Using a method that enables simultaneous determination of common ancestor, division number, and differentiation status of a large collection of single cells, our data revealed that murine cells that derived from a common ancestor had significant similarities in their division progression and differentiation outcomes. Although each family diversifies, the overall collection of cell types observed is composed of homogeneous families. Heterogeneity between families could be explained, in part, by differences in ancestral expression of cell surface markers. Our analyses demonstrate that fate decisions of cells are largely inherited from ancestor cells, indicating the importance of common ancestor effects. These results may have ramifications for bone marrow transplantation and leukemia, where substantial heterogeneity in HSPC behavior is observed.

    Item Type: Article
    Keywords: HSPCs display; family homogeneity; differentiation; proliferation; population heterogeneity;
    Academic Unit: Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 15200
    Identification Number: https://doi.org/10.7554/eLife.60624
    Depositing User: Dr Ken Duffy
    Date Deposited: 07 Jan 2022 13:03
    Journal or Publication Title: eLife
    Publisher: eLife
    Refereed: Yes
    URI:
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

      Repository Staff Only(login required)

      View Item Item control page

      Downloads

      Downloads per month over past year

      Origin of downloads