IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v465y2010i7298d10.1038_465562a.html
   My bibliography  Save this article

Clues from cell metabolism

Author

Listed:
  • William G. Kaelin

    (William G. Kaelin Jr is at the Howard Hughes Medical Institute, and at the Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. william_kaelin@dfci.harvard.edu;)

  • Craig B. Thompson

    (Craig B. Thompson is at the Abramson Cancer Center and Abramson Family Cancer Research Institute, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. craig@exchange.upenn.edu)

Abstract

Interest in the abnormal metabolism exhibited by cancer cells has been reawakened by the discovery of oncogenic mutations in metabolic enzymes, and by tools that monitor metabolism in living cells. Existing and emerging therapies aim to target this abnormal metabolism in various ways.

Suggested Citation

  • William G. Kaelin & Craig B. Thompson, 2010. "Clues from cell metabolism," Nature, Nature, vol. 465(7298), pages 562-564, June.
  • Handle: RePEc:nat:nature:v:465:y:2010:i:7298:d:10.1038_465562a
    DOI: 10.1038/465562a
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/465562a
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/465562a?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. Luis Tobalina & Jon Pey & Alberto Rezola & Francisco J Planes, 2016. "Assessment of FBA Based Gene Essentiality Analysis in Cancer with a Fast Context-Specific Network Reconstruction Method," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-17, May.

    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:465:y:2010:i:7298:d:10.1038_465562a. 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.