IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v453y2008i7193d10.1038_nature07043.html
   My bibliography  Save this article

Imaging stem-cell-driven regeneration in mammals

Author

Listed:
  • Timm Schroeder

    (Institute of Stem Cell Research, Helmholtz Zentrum München – German Research Center for Environmental Health, Ingolstädter Landstrasse 1)

Abstract

The ability to observe biological processes continuously, instead of at discrete time points, holds great promise for the study of tissue regeneration. Ideally, single cells would be followed continuously within large tissue volumes (such as organs) over long periods of time. Technical limitations, however, preclude such studies. But, recently, there have been improvements in imaging technologies and biologically compatible labelling agents. Together with new insights into the molecular characteristics of stem cells, which are ultimately responsible for the regenerative potential of all tissues, researchers are now much closer to applying single-cell imaging approaches to research into regeneration and its clinical applications.

Suggested Citation

  • Timm Schroeder, 2008. "Imaging stem-cell-driven regeneration in mammals," Nature, Nature, vol. 453(7193), pages 345-351, May.
    • Handle: RePEc:nat:nature:v:453:y:2008:i:7193:d:10.1038_nature07043
    DOI: 10.1038/nature07043
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature07043
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/nature07043?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Geethika Arekatla & Stavroula Skylaki & David Corredor Suarez & Hartland Jackson & Denis Schapiro & Stefanie Engler & Markus Auler & German Camargo Ortega & Simon Hastreiter & Andreas Reimann & Dirk L, 2024. "Identification of an embryonic differentiation stage marked by Sox1 and FoxA2 co-expression using combined cell tracking and high dimensional protein imaging," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

    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:nature:v:453:y:2008:i:7193:d:10.1038_nature07043. 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.