# Meltzerlab GEO Microarray Tool - View GSE Details
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ID: 49
Geo Accession: GSE49 (GEO Site)
Title: DNA copy-number changes
Platform id: GPL179
Sample id:
Total 10 GSM
Status: Public on Jun 27 2002
Submission date: 2002-05-23
Last update date: 2012-02-23
Pubmed id: 10471496  
Summary: 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. With CGH, 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. CGH, however, has a limited ( approximately 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 CGH, 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. 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 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, 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. 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.
This study is described more fully in Pollack JR et al.(1999) Nat Genet 23:41-6
Keywords: other
Type: Genome variation profiling by array
Contributor: J,R,Pollack; C,M,Perou; A,A,Alizadeh; M,B,Eisen; A Pergamenschikov; C,F,Williams; S,S,Jeffrey; D Botstein; P,O,Brown
Contact: Name: Stanford Microarray Database; Email: array@genome.stanford.edu; Phone: 650-498-6012; Department: Stanford University, School of Medicine; Institute: Stanford Microarray Database (SMD); Address: 300 Pasteur Drive; City: Stanford; State: CA; Zip/postal_code: 94305; Country: USA; Web_link: http://genome-www5.stanford.ed ..
Ftp sMatrix: GSE49 sMatrix
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