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High-throughput methylation profiling by MCA coupled to CpG island microarray

Open access
Estécio, Marcos R.H., Yan, Pearlly S., Ibrahim, Ashraf E.K., Tellez, Carmen S., Shen, Lanlan, Huang, Tim H.-M., Issa, Jean-Pierre J.·2007·Genome Research

Abstract

An abnormal pattern of DNA methylation occurs at specific genes in almost all neoplasms. The lack of high-throughput methods with high specificity and sensitivity to detect changes in DNA methylation has limited its application for clinical profiling. Here we overcome this limitation and present an improved method to identify methylated genes genome-wide by hybridizing a CpG island microarray with amplicons obtained by the methylated CpG island amplification technique (MCAM). We validated this method in three cancer cell lines and 15 primary colorectal tumors, resulting in the discovery of hundreds of new methylated genes in cancer. The sensitivity and specificity of the method to detect hypermethylated loci were 88% and 96%, respectively, according to validation by bisulfite-PCR. Unsupervised hierarchical clustering segregated the tumors into the expected subgroups based on CpG island methylator phenotype classification. In summary, MCAM is a suitable technique to discover methylated genes and to profile methylation changes in clinical samples in a high-throughput fashion.

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Metadata

Authors
Estécio, M. R. H., Yan, P. S., Ibrahim, A. E. K., Tellez, C. S., Shen, L., Huang, T. H.-M., & Issa, J.-P. J.
Venue
Genome Research
Published
2007-09-04
Volume
17
Issue
10
Pages
1529-1536
ISSN
1088-9051 (ISSN-L)
OpenAlex
W2147049379
Cited by
166
References
0
Type
posted content
Language
en
Open access
bronze

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CoChat. (2026). Citation check: High-throughput methylation profiling by MCA coupled to CpG island microarray. https://app.cochat.ai/papers/10.1101/gr.6417007
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Estécio, M. R. H., Yan, P. S., Ibrahim, A. E. K., Tellez, C. S., Shen, L., Huang, T. H.-M., & Issa, J.-P. J. (2007). High-throughput methylation profiling by MCA coupled to CpG island microarray. Genome Research. https://doi.org/10.1101/gr.6417007

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