search

menu

  • Research Research
    • Where science meets inspired minds

    • Back
    • Research
    • Our Science
    • Research Groups
    • Facilities & Platforms
    • Clinical research
    • Find a researcher
    • Publications
    • Knowledge Transfer
  • Careers & study Careers & study
    • Become a leader in cancer research

    • Back
    • Careers & study
    • Vacancies
    • Faculty
    • Scientific staff
    • Scientific support staff
    • Postdoctoral fellows
    • PhD Students
    • Operational staff
    • Clinical fellows
    • Life in Amsterdam
    • Student internships
  • News & Events News & Events
    • Check out our stories and events

    • Back
    • News & Events
    • News
    • Media & Press
    • Calendar
  • About us About us
    • Maximum impact for cancer patients

    • Back
    • About us
    • Our vision
    • Organization
    • Collaborations
    • Responsible Research
    • Support us
    • Visit us
    • Contact us
  • Support us
Support us
  • Home
  • Publications
  • Research
  • Publications
  • Article

Large-scale mutagenesis in p19(ARF)- and p53-deficient mice identifies cancer genes and their collaborative networks.

Anthony G Uren ,
Jaap Kool ,
Konstantin Matentzoglu ,
Jeroen de Ridder ,
Jenny Mattison ,
Miranda van Uitert ,
Wendy Lagcher ,
Daoud Sie ,
Ellen Tanger ,
Tony Cox ,
Marcel Reinders ,
Tim J Hubbard ,
Jane Rogers ,
Jos Jonkers ,
Lodewyk Wessels ,
David J Adams ,
Maarten van Lohuizen ,
Anton Berns

Abstract

p53 and p19(ARF) are tumor suppressors frequently mutated in human tumors. In a high-throughput screen in mice for mutations collaborating with either p53 or p19(ARF) deficiency, we identified 10,806 retroviral insertion sites, implicating over 300 loci in tumorigenesis. This dataset reveals 20 genes that are specifically mutated in either p19(ARF)-deficient, p53-deficient or wild-type mice (including Flt3, mmu-mir-106a-363, Smg6, and Ccnd3), as well as networks of significant collaborative and mutually exclusive interactions between cancer genes. Furthermore, we found candidate tumor suppressor genes, as well as distinct clusters of insertions within genes like Flt3 and Notch1 that induce mutants with different spectra of genetic interactions. Cross species comparative analysis with aCGH data of human cancer cell lines revealed known and candidate oncogenes (Mmp13, Slamf6, and Rreb1) and tumor suppressors (Wwox and Arfrp2). This dataset should prove to be a rich resource for the study of genetic interactions that underlie tumorigenesis.

More about this publication

Cell

Volume 133
Issue nr. 4
Pages 727-41
Publication date 16-05-2008

Full text links

Publisher website (DOI) 10.1016/j.cell.2008.03.021
Europe PubMed Central 18485879
Pubmed 18485879

Where science meets inspired minds

Contact

Plesmanlaan 121
1066CX Amsterdam

020 512 9111 communicatie@nki.nl

Quick links

  • Vacancies
  • News
  • Contact us
  • Media & Press

Follow us on

Disclaimer
Privacy statement
Cookies
Change cookie settings

This site uses cookies

This website uses cookies to ensure you get the best experience on our website.