Exp Mol Med.  2009 Jul;41(7):462-470. 10.3858/emm.2009.41.7.051.

Integrated analysis of copy number alteration and RNA expression profiles of cancer using a high-resolution whole-genome oligonucleotide array

Affiliations
  • 1Department of Microbiology, The Catholic University of Korea, Seoul 137-701, Korea. yejun@catholic.ac.kr
  • 2Integrated Research Center for Genome Polymorphism, The Catholic University of Korea, Seoul 137-701, Korea.
  • 3Department of Pathology, The Catholic University of Korea, Seoul 137-701, Korea.

Abstract

Recently, microarray-based comparative genomic hybridization (array-CGH) has emerged as a very efficient technology with higher resolution for the genome-wide identification of copy number alterations (CNA). Although CNAs are thought to affect gene expression, there is no platform currently available for the integrated CNA-expression analysis. To achieve high-resolution copy number analysis integrated with expression profiles, we established human 30k oligoarray-based genome-wide copy number analysis system and explored the applicability of this system for integrated genome and transcriptome analysis using MDA-MB-231 cell line. We compared the CNAs detected by the oligoarray with those detected by the 3k BAC array for validation. The oligoarray identified the single copy difference more accurately and sensitively than the BAC array. Seventeen CNAs detected by both platforms in MDA-MB-231 such as gains of 5p15.33-13.1, 8q11.22-8q21.13, 17p11.2, and losses of 1p32.3, 8p23.3-8p11.21, and 9p21 were consistently identified in previous studies on breast cancer. There were 122 other small CNAs (mean size 1.79 mb) that were detected by oligoarray only, not by BAC-array. We performed genomic qPCR targeting 7 CNA regions, detected by oligoarray only, and one non-CNA region to validate the oligoarray CNA detection. All qPCR results were consistent with the oligoarray-CGH results. When we explored the possibility of combined interpretation of both DNA copy number and RNA expression profiles, mean DNA copy number and RNA expression levels showed a significant correlation. In conclusion, this 30k oligoarray-CGH system can be a reasonable choice for analyzing whole genome CNAs and RNA expression profiles at a lower cost.

Keyword

cell line, tumor; gene dosage; gene expression profiling; oligonucleotide array sequence analysis

MeSH Terms

Breast Neoplasms/*genetics/pathology
Chromosomes, Artificial, Bacterial
Chromosomes, Human/genetics
Comparative Genomic Hybridization
Female
Gene Dosage/*genetics
*Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Genome, Human
Humans
In Situ Hybridization, Fluorescence
*Oligonucleotide Array Sequence Analysis
Polymerase Chain Reaction
RNA, Neoplasm/*genetics
Tumor Cells, Cultured
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