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

doi:10.1242/dmm.006296

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

Medicine

Research output: Contribution to journal › Comment/debate › peer-review

6 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 language	English (US)
Pages (from-to)	701-704
Number of pages	4
Journal	DMM Disease Models and Mechanisms
Volume	3
Issue number	11-12
DOIs	https://doi.org/10.1242/dmm.006296
State	Published - Nov 2010

ASJC Scopus subject areas

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

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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.",

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AU - Oricchio, Elisa

AU - Wolfe, Andrew L.

AU - Schatz, Jonathan H.

AU - Mavrakis, Konstantinos J.

AU - Wendel, Hans Guido

PY - 2010/11

Y1 - 2010/11

N2 - 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.

AB - 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.

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Mouse models of cancer as biological filters for complex genomic data

Abstract

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