IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v428y2004i6981d10.1038_nature02371.html
   My bibliography  Save this article

A large-scale RNAi screen in human cells identifies new components of the p53 pathway

Author

Listed:
  • Katrien Berns

    (The Netherlands Cancer Institute)

  • E. Marielle Hijmans

    (The Netherlands Cancer Institute)

  • Jasper Mullenders

    (The Netherlands Cancer Institute)

  • Thijn R. Brummelkamp

    (The Netherlands Cancer Institute)

  • Arno Velds

    (The Netherlands Cancer Institute)

  • Mike Heimerikx

    (The Netherlands Cancer Institute)

  • Ron M. Kerkhoven

    (The Netherlands Cancer Institute)

  • Mandy Madiredjo

    (The Netherlands Cancer Institute)

  • Wouter Nijkamp

    (The Netherlands Cancer Institute)

  • Britta Weigelt

    (The Netherlands Cancer Institute)

  • Reuven Agami

    (The Netherlands Cancer Institute)

  • Wei Ge

    (Rosetta Inpharmatics, Inc.)

  • Guy Cavet

    (Rosetta Inpharmatics, Inc.)

  • Peter S. Linsley

    (Rosetta Inpharmatics, Inc.)

  • Roderick L. Beijersbergen

    (The Netherlands Cancer Institute)

  • René Bernards

    (The Netherlands Cancer Institute)

Abstract

RNA interference (RNAi) is a powerful new tool with which to perform loss-of-function genetic screens in lower organisms and can greatly facilitate the identification of components of cellular signalling pathways1,2,3. In mammalian cells, such screens have been hampered by a lack of suitable tools that can be used on a large scale. We and others have recently developed expression vectors to direct the synthesis of short hairpin RNAs (shRNAs) that act as short interfering RNA (siRNA)-like molecules to stably suppress gene expression4,5. Here we report the construction of a set of retroviral vectors encoding 23,742 distinct shRNAs, which target 7,914 different human genes for suppression. We use this RNAi library in human cells to identify one known and five new modulators of p53-dependent proliferation arrest. Suppression of these genes confers resistance to both p53-dependent and p19ARF-dependent proliferation arrest, and abolishes a DNA-damage-induced G1 cell-cycle arrest. Furthermore, we describe siRNA bar-code screens to rapidly identify individual siRNA vectors associated with a specific phenotype. These new tools will greatly facilitate large-scale loss-of-function genetic screens in mammalian cells.

Suggested Citation

  • Katrien Berns & E. Marielle Hijmans & Jasper Mullenders & Thijn R. Brummelkamp & Arno Velds & Mike Heimerikx & Ron M. Kerkhoven & Mandy Madiredjo & Wouter Nijkamp & Britta Weigelt & Reuven Agami & Wei, 2004. "A large-scale RNAi screen in human cells identifies new components of the p53 pathway," Nature, Nature, vol. 428(6981), pages 431-437, March.
  • Handle: RePEc:nat:nature:v:428:y:2004:i:6981:d:10.1038_nature02371
    DOI: 10.1038/nature02371
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature02371
    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/nature02371?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. Sahar Harati & Lee A D Cooper & Josue D Moran & Felipe O Giuste & Yuhong Du & Andrei A Ivanov & Margaret A Johns & Fadlo R Khuri & Haian Fu & Carlos S Moreno, 2017. "MEDICI: Mining Essentiality Data to Identify Critical Interactions for Cancer Drug Target Discovery and Development," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-18, January.

    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:428:y:2004:i:6981:d:10.1038_nature02371. 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.