Representational oligonucleotide microarray analysis: A high-resolution method to detect genome copy number variation

被引:284
作者
Lucito, R
Healy, J
Alexander, J
Reiner, A
Esposito, D
Chi, MY
Rodgers, L
Brady, A
Sebat, J
Troge, J
West, JA
Rostan, S
Nguyen, KCQ
Powers, S
Ye, KQ
Olshen, A
Venkatraman, E
Norton, L
Wigler, M
机构
[1] Cold Spring Harbor Lab, Cold Spring Harbor, NY 11724 USA
[2] Tularik Inc, Genom Div, New York, NY 11740 USA
[3] SUNY Stony Brook, Dept Appl Math & Stat, Stony Brook, NY 11794 USA
[4] Mem Sloan Kettering Canc Ctr, New York, NY 10021 USA
关键词
D O I
10.1101/gr.1349003
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
We have developed a methodology we call ROMA (representational oligonucleotide microarray analysis), for the detection of the genomic aberrations in cancer and normal humans. By arraying oligonucleoticle probes designed from the human genome sequence, and hybridizing with "representations" from cancer and normal cells, we detect regions of the genome with altered "copy number." We achieve an average resolution of 30 kb throughout the genome, and resolutions as high as a probe every 15 kb are practical. We illustrate the characteristics of probes on the array and accuracy of measurements obtained using ROMA. Using this methodology, we identify variation between cancer and normal genomes, as well as between normal human genomes. In cancer genomes, we readily detect amplifications and large and small homozygous and hemizygous deletions. Between normal human genomes, we frequently detect large (100 kb to I Mb) deletions or duplications. Many of these changes encompass known genes. ROMA will assist in the discovery of genes and markers important in cancer, and the discovery of loci that may be important in inherited predispositions to disease.
引用
收藏
页码:2291 / 2305
页数:15
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