Mouse models of cancer as biological filters for complex genomic data. Academic Article uri icon

Overview

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.

publication date

  • September 27, 2010

Research

keywords

  • Databases, Genetic
  • Disease Models, Animal
  • Genome
  • Hematologic Neoplasms
  • Translational Research, Biomedical

Identity

PubMed Central ID

  • PMC2965398

Scopus Document Identifier

  • 78649279352

Digital Object Identifier (DOI)

  • 10.1242/dmm.006296

PubMed ID

  • 20876355

Additional Document Info

volume

  • 3

issue

  • 11-12