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Methylation-specific oligonucleotide microarray: A new potential for high-throughput methylation analysis

  • Raad S. Gitan
    ,
  • ,
  • Chuan Mu Chen
    ,
  • Pearlly S. Yan
    ,
  • Tim Hui Ming Huang(corresponding author)
*Corresponding author for this work
  • University of Missouri
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Oligonucleotide microarray-based hybridization is an emerging technology for genome-wide detection of DNA variations. We have extended this principle and developed a novel approach, called methylation-specific oligonucleotide (MSO) microarray, for detecting changes of DNA methylation in cancer. The method uses bisulfite-modified DNA as a template for PCR amplification, resulting in conversion of unmethylated cytosine, but not methylated cytosine, into thymine within CpG islands of interest. The amplified product, therefore, may contain a pool of DNA fragments with altered nucleotide sequences due to differential methylation status. A test sample is hybridized to a set of oligonucleotide (19-23 nucleotides in length) arrays that discriminate methylated and unmethylated cytosine at specific nucleotide positions, and quantitative differences in hybridization are determined by fluorescence analysis. A unique control system is also implemented to test the accuracy and reproducibility of oligonucleotides designed for microarray hybridization. This MSO microarray was applied to map methylated CpG sites within the human estrogen receptor α (ERα) gene CpG island in breast cancer cell lines, normal fibroblasts, breast tumors, and normal controls. Methylation patterns of the breast cancer cell lines, determined by MSO microarray, were further validated by bisulfite nucleotide sequencing (P<0.001). This proof-of-principle study shows that MSO microarray is a promising technique for mapping methylation changes in multiple CpG island loci and for generating epigenetic profiles in cancer.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 158-164 (7 pages)

Journal (Volume, Issue Number)

Genome Research (Volume 12, Issue 1)

Publication milestones

  • Published - 2002

Publication status

Published - 2002

ISSN

1088-9051

Publication IDs

  • Scopus: 0036144883
  • PubMed: 11779841

Publication metrics

Metrics

Scopus
citations
SciVal
citations
257
SciVal
FWCI
6.56
SciVal
Author count
5
SciVal
Paper percentile
98
SciVal
Top percentile
5
Fractional count
1
Fractional count
0.20
Fractional count
4
Fractional count
0.80
Fractional count
1
Fractional count
1

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Captures
146
Mentions
2
Citation count
269

Funding Details

FunderFunding number
NCI
R33CA084701