TY  - JOUR
A1  - Bibikova, Marina
A1  - Lin, Zhenwu
A1  - Zhou, Lixin
A1  - Chudin, Eugene
A1  - Garcia, Eliza Wickham
A1  - Wu, Bonnie
A1  - Doucet, Dennis
A1  - Thomas, Neal J.
A1  - Wang, Yunhua
A1  - Vollmer, Ekkehard
A1  - Goldmann, Torsten
A1  - Seifart, Carola
A1  - Jiang, Wei
A1  - Barker, David L.
A1  - Chee, Mark S.
A1  - Floros, Joanna
A1  - Fan, Jian-Bing
T1  - High-throughput DNA methylation profiling using universal bead arrays
Y1  - 2006/03/01 
JF  - Genome Research 
JO  - Genome Research 
SP  - 383 
EP  - 393 
DO  - 10.1101/gr.4410706 
VL  - 16 
IS  - 3 
UR  - http://genome.cshlp.org/content/16/3/383.abstract 
N2  - 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. 
ER  -