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Comparative Genomic Hybridization to Dna Microarrays

Published online by Cambridge University Press:  02 July 2020

D. Pinkel
Affiliation:
Berkeley National Laboratory, Berkeley, CA University of California, San Francisco.
R. Segraves
Affiliation:
University of California, San Francisco.
D. Sudar
Affiliation:
Berkeley National Laboratory, Berkeley, CA
L. van Vliet
Affiliation:
Berkeley National Laboratory, Berkeley, CA
S. Clark
Affiliation:
University of California, San Francisco.
C. Chen
Affiliation:
University of California, San Francisco.
Y. Zhai
Affiliation:
University of California, San Francisco.
J.W. Gray
Affiliation:
Berkeley National Laboratory, Berkeley, CA University of California, San Francisco.
D. G. Albertson
Affiliation:
Berkeley National Laboratory, Berkeley, CA
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Extract

Comparative genomic hybridization (CGH), which involves the simultaneous hybridization of differentially labeled total genomic DNA from test cells and reference normal cells to metaphase chromosomes, has been used extensively to screen tumor genomes for regions of DNA sequence copy number variation. Analysis of these hybridizations requires quantitative analysis of the ratio of intensities of the fluorescent hybridization signals as a function of position along the chromosomes, which basically serve as a convenient genetic map. The ratios need to be measured very accurately since changes of about ± 20% from the average for the genome indicate important genetic events. Widespread use of CGH over the past several years has identified numerous regions of the genome that may contain currently unknown cancer genes. For example, regions of increased copy number may indicate sites of oncogenes, while regions of copy number decrease relative to average for the genome may signify the presence of a tumor suppressor gene.

Type
Genomes, Chromsomes and Genes: Emerging Technologies
Copyright
Copyright © Microscopy Society of America 1997

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References

1. Sudar, D. et al. This meetingGoogle Scholar

2. Tanner, M. et al. Cancer Research 54:42574260 (1994)Google Scholar

3. Supported by NIH grants CA45919, HD 17665, CA58207 and NIST ATP 94-05-0021.Google Scholar