IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v7y2016i1d10.1038_ncomms12169.html
   My bibliography  Save this article

High-resolution imaging and computational analysis of haematopoietic cell dynamics in vivo

Author

Listed:
  • Claire S. Koechlein

    (School of Medicine, University of California, San Diego
    Sanford Consortium for Regenerative Medicine)

  • Jeffrey R. Harris

    (Duke University Medical Center)

  • Timothy K. Lee

    (Stanford University)

  • Joi Weeks

    (School of Medicine, University of California, San Diego
    Sanford Consortium for Regenerative Medicine)

  • Raymond G. Fox

    (School of Medicine, University of California, San Diego
    Sanford Consortium for Regenerative Medicine)

  • Bryan Zimdahl

    (School of Medicine, University of California, San Diego
    Sanford Consortium for Regenerative Medicine
    Duke University Medical Center)

  • Takahiro Ito

    (School of Medicine, University of California, San Diego
    Sanford Consortium for Regenerative Medicine
    Duke University Medical Center)

  • Allen Blevins

    (School of Medicine, University of California, San Diego
    Sanford Consortium for Regenerative Medicine)

  • Seung-Hye Jung

    (Duke University Medical Center)

  • John P. Chute

    (Duke University Medical Center
    University of California, Los Angeles)

  • Amit Chourasia

    (San Diego Supercomputer Center, University of California, San Diego)

  • Markus W. Covert

    (Stanford University)

  • Tannishtha Reya

    (School of Medicine, University of California, San Diego
    Sanford Consortium for Regenerative Medicine
    Duke University Medical Center)

Abstract

Although we know a great deal about the phenotype and function of haematopoietic stem/progenitor cells, a major challenge has been mapping their dynamic behaviour within living systems. Here we describe a strategy to image cells in vivo with high spatial and temporal resolution, and quantify their interactions using a high-throughput computational approach. Using these tools, and a new Msi2 reporter model, we show that haematopoietic stem/progenitor cells display preferential spatial affinity for contacting the vascular niche, and a temporal affinity for making stable associations with these cells. These preferences are markedly diminished as cells mature, suggesting that programs that control differentiation state are key determinants of spatiotemporal behaviour, and thus dictate the signals a cell receives from specific microenvironmental domains. These collectively demonstrate that high-resolution imaging coupled with computational analysis can provide new biological insight, and may in the long term enable creation of a dynamic atlas of cells within their native microenvironment.

Suggested Citation

  • Claire S. Koechlein & Jeffrey R. Harris & Timothy K. Lee & Joi Weeks & Raymond G. Fox & Bryan Zimdahl & Takahiro Ito & Allen Blevins & Seung-Hye Jung & John P. Chute & Amit Chourasia & Markus W. Cover, 2016. "High-resolution imaging and computational analysis of haematopoietic cell dynamics in vivo," Nature Communications, Nature, vol. 7(1), pages 1-14, November.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12169
    DOI: 10.1038/ncomms12169
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms12169
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms12169?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12169. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.