IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v454y2008i7203d10.1038_nature07034.html
   My bibliography  Save this article

Imbalance between pSmad3 and Notch induces CDK inhibitors in old muscle stem cells

Author

Listed:
  • Morgan E. Carlson

    (University of California, Berkeley, California 94720, USA)

  • Michael Hsu

    (University of California, Berkeley, California 94720, USA)

  • Irina M. Conboy

    (University of California, Berkeley, California 94720, USA)

Abstract

Making muscle young again The reduced ability of ageing muscle tissue to regenerate and repair itself has been found to result from high levels of TGF-β in the muscle stem cells, or satellite cells. Comparison of the muscle regeneration capacity of 2-year-old mice (equivalent to 75- to 80-year-old humans), with that of 2-month-old mice (equivalent to a 20- to 25-year-old) shows that success versus failure in muscle repair is determined by a balance between the levels of TGF-β/pSmad3 signalling and the activation of the Notch pathway. The work raises the possibility of developing therapeutic interventions to restore a stem-cell microniche in old muscle.

Suggested Citation

  • Morgan E. Carlson & Michael Hsu & Irina M. Conboy, 2008. "Imbalance between pSmad3 and Notch induces CDK inhibitors in old muscle stem cells," Nature, Nature, vol. 454(7203), pages 528-532, July.
  • Handle: RePEc:nat:nature:v:454:y:2008:i:7203:d:10.1038_nature07034
    DOI: 10.1038/nature07034
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature07034
    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/nature07034?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. Evelyn Zacharewicz & Paul Della Gatta & John Reynolds & Andrew Garnham & Tamsyn Crowley & Aaron P Russell & Séverine Lamon, 2014. "Identification of MicroRNAs Linked to Regulators of Muscle Protein Synthesis and Regeneration in Young and Old Skeletal Muscle," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-25, 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:454:y:2008:i:7203:d:10.1038_nature07034. 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.