Mouse models of cancer as biological filters for complex genomic data

Elisa Oricchio, Andrew L. Wolfe, Jonathan H. Schatz, Konstantinos J. Mavrakis, Hans Guido Wendel

Research output: Contribution to journalComment/debate

4 Scopus citations

Abstract

Genetically and pathologically accurate mouse models of leukemia and lymphoma have been developed in recent years. Adoptive transfer of genetically modified hematopoietic progenitor cells enables rapid and highly controlled gain- and loss-of-function studies for these types of cancer. In this Commentary, we discuss how these highly versatile experimental approaches can be used as biological filters to pinpoint transformation-relevant activities from complex cancer genome data. We anticipate that the functional identification of genetic 'drivers' using mouse models of leukemia and lymphoma will facilitate the development of molecular diagnostics and mechanism-based therapies for patients that suffer from these diseases.

Original languageEnglish (US)
Pages (from-to)701-704
Number of pages4
JournalDMM Disease Models and Mechanisms
Volume3
Issue number11-12
DOIs
StatePublished - Nov 1 2010
Externally publishedYes

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Medicine (miscellaneous)
  • Immunology and Microbiology (miscellaneous)
  • Biochemistry, Genetics and Molecular Biology(all)

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