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High-throughput DNA methylation profiling using universal bead arrays.
- Source :
-
Genome research [Genome Res] 2006 Mar; Vol. 16 (3), pp. 383-93. Date of Electronic Publication: 2006 Jan 31. - Publication Year :
- 2006
-
Abstract
- We have developed a high-throughput method for analyzing the methylation status of hundreds of preselected genes simultaneously and have applied it to the discovery of methylation signatures that distinguish normal from cancer tissue samples. Through an adaptation of the GoldenGate genotyping assay implemented on a BeadArray platform, the methylation state of 1536 specific CpG sites in 371 genes (one to nine CpG sites per gene) was measured in a single reaction by multiplexed genotyping of 200 ng of bisulfite-treated genomic DNA. The assay was used to obtain a quantitative measure of the methylation level at each CpG site. After validating the assay in cell lines and normal tissues, we analyzed a panel of lung cancer biopsy samples (N = 22) and identified a panel of methylation markers that distinguished lung adenocarcinomas from normal lung tissues with high specificity. These markers were validated in a second sample set (N = 24). These results demonstrate the effectiveness of the method for reliably profiling many CpG sites in parallel for the discovery of informative methylation markers. The technology should prove useful for DNA methylation analyses in large populations, with potential application to the classification and diagnosis of a broad range of cancers and other diseases.
- Subjects :
- Base Sequence
Chromosomes, Human, X metabolism
CpG Islands genetics
Gene Expression Regulation, Neoplastic
Humans
Lung Neoplasms genetics
Molecular Sequence Data
Polymorphism, Single Nucleotide
Reproducibility of Results
Sulfites metabolism
DNA Fingerprinting
DNA Methylation
Oligonucleotide Array Sequence Analysis methods
Subjects
Details
- Language :
- English
- ISSN :
- 1088-9051
- Volume :
- 16
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Genome research
- Publication Type :
- Academic Journal
- Accession number :
- 16449502
- Full Text :
- https://doi.org/10.1101/gr.4410706