Literature DB >> 16007205

Comparative genomic hybridization on mouse cDNA microarrays and its application to a murine lymphoma model.

Sandrine Sander1, Lars Bullinger, Asa Karlsson, Sylvie Giuriato, Tina Hernandez-Boussard, Dean W Felsher, Jonathan R Pollack.   

Abstract

Microarray-based formats offer a high-resolution alternative to conventional, chromosome-based comparative genomic hybridization (CGH) methods for assessing DNA copy number alteration (CNA) genome-wide in human cancer. For murine tumors, array CGH should provide even greater advantage, since murine chromosomes are more difficult to individually discern. We report here the adaptation and evaluation of a cDNA microarray-based CGH method for the routine characterization of CNAs in murine tumors, using mouse cDNA microarrays representing approximately 14,000 different genes, thereby providing an average mapping resolution of 109 kb. As a first application, we have characterized CNAs in a set of 10 primary and recurrent lymphomas derived from a Myc-induced murine lymphoma model. In primary lymphomas and more commonly in Myc-independent relapses, we identified a recurrent genomic DNA loss at chromosome 3G3-3H4, and recurrent amplifications at chromosome 3F2.1-3G3 and chromosome 15E1/E2-15F3, the boundaries of which we defined with high resolution. Further, by profiling gene expression using the same microarray platform, we identified within CNAs the relevant subset of candidate cancer genes displaying comparably altered expression, including Mcl1 (myeloid cell leukemia sequence 1), a highly expressed antiapoptotic gene residing within the chr 3 amplicon peak. CGH on mouse cDNA microarrays therefore represents a reliable method for the high-resolution characterization of CNAs in murine tumors, and a powerful approach for elucidating the molecular events in tumor development and progression in murine models.

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Year:  2005        PMID: 16007205     DOI: 10.1038/sj.onc.1208751

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  5 in total

1.  Mouse genomic representational oligonucleotide microarray analysis: detection of copy number variations in normal and tumor specimens.

Authors:  B Lakshmi; Ira M Hall; Christopher Egan; Joan Alexander; Anthony Leotta; John Healy; Lars Zender; Mona S Spector; Wen Xue; Scott W Lowe; Michael Wigler; Robert Lucito
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-14       Impact factor: 11.205

2.  HIF-dependent antitumorigenic effect of antioxidants in vivo.

Authors:  Ping Gao; Huafeng Zhang; Ramani Dinavahi; Feng Li; Yan Xiang; Venu Raman; Zaver M Bhujwalla; Dean W Felsher; Linzhao Cheng; Jonathan Pevsner; Linda A Lee; Gregg L Semenza; Chi V Dang
Journal:  Cancer Cell       Date:  2007-09       Impact factor: 31.743

3.  Construction and application of a zebrafish array comparative genomic hybridization platform.

Authors:  Jennifer L Freeman; Craig Ceol; Hui Feng; David M Langenau; Cassandra Belair; Howard M Stern; Anhua Song; Barry H Paw; A Thomas Look; Yi Zhou; Leonard I Zon; Charles Lee
Journal:  Genes Chromosomes Cancer       Date:  2009-02       Impact factor: 5.006

4.  The mutational landscape of MYCN, Lin28b and ALKF1174L driven murine neuroblastoma mimics human disease.

Authors:  Bram De Wilde; Anneleen Beckers; Sven Lindner; Althoff Kristina; Katleen De Preter; Pauline Depuydt; Pieter Mestdagh; Tom Sante; Steve Lefever; Falk Hertwig; Zhiyu Peng; Le-Ming Shi; Sangkyun Lee; Elien Vandermarliere; Lennart Martens; Björn Menten; Alexander Schramm; Matthias Fischer; Johannes Schulte; Jo Vandesompele; Frank Speleman
Journal:  Oncotarget       Date:  2017-12-22

5.  Mouse Lymphoblastic Leukemias Induced by Aberrant Prdm14 Expression Demonstrate Widespread Copy Number Alterations Also Found in Human ALL.

Authors:  Stephen J Simko; Horatiu Voicu; Brandi L Carofino; Monica J Justice
Journal:  Cancers (Basel)       Date:  2012-10-18       Impact factor: 6.639

  5 in total

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