Genome-wide analysis of DNA copy-number changes using cDNA microarrays

被引:999
|
作者
Pollack, JR
Perou, CM
Alizadeh, AA
Eisen, MB
Pergamenschikov, A
Williams, CF
Jeffrey, SS
Botstein, D
Brown, PO [1 ]
机构
[1] Stanford Univ, Med Ctr, Howard Hughes Med Inst, Stanford, CA 94305 USA
[2] Stanford Univ, Med Ctr, Dept Genet, Stanford, CA 94305 USA
[3] Stanford Univ, Med Ctr, Dept Biochem, Stanford, CA 94305 USA
[4] Stanford Univ, Med Ctr, Dept Surg, Stanford, CA 94305 USA
关键词
D O I
10.1038/12640
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Gene amplifications and deletions frequently contribute to tumorigenesis. Characterization of these DNA copy-number changes is important for both the basic understanding of cancer and its diagnosis. Comparative genomic hybridization (CGH) was developed to survey DNA copy-number variations across a whole genome(1). With CCH, differentially labelled test and reference genomic DNAs are co-hybridized to normal metaphase chromosomes, and fluorescence ratios along the length of chromosomes provide a cytogenetic representation of DNA copy-number variation. CCH, however, has a limited (similar to 20 Mb) mapping resolution, and higher-resolution techniques, such as fluorescence in situ hybridization (FISH), are prohibitively labour-intensive on a genomic scale. Array-based CCH, in which fluorescence ratios at arrayed DNA elements provide a locus-by-locus measure of DNA copy-number variation, represents another means of achieving increased mapping resolution(2-4) Published array CGH methods have relied on large genomic clone (for example BAC) array targets and have covered only a small fraction of the human genome. cDNAs representing over 30,000 radiation-hybrid (RH)-mapped human genes(5,6) provide an alternative and readily available genomic resource for mapping DNA copy-number changes. Although cDNA microarrays have been used extensively to characterize variation in human gene expression(7-9), human genomic DNA is a far more complex mixture than the mRNA representation of human cells. Therefore, analysis of DNA copy-number variation using cDNA microarrays would require a sensitivity of detection an order of magnitude greater than has been routinely reported(7). We describe here a cDNA microarray-based CGH method, and its application to DNA copy-number variation analysis in breast cancer cell lines and tumours, Using this assay, we were able to identify gene amplifications and deletions genome-wide and with high resolution, and compare alterations in DNA copy number and gene expression.
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页码:41 / 46
页数:6
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