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Updated: May 27, 2026

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
Genome-wide DNA methylation profiling using Infinium® assay.
Marina Bibikova1, Jennie Le, Bret Barnes
1Illumina Inc., 9885 Towne Centre Dr., San Diego, CA 92121, USA.
This study introduces a scalable array-based platform for DNA methylation analysis, enabling the simultaneous querying of over 27,000 CpG sites. The method efficiently measures methylation across various human tissues and cell lines, revealing distinct methylation patterns in CpG islands versus non-CpG islands.
Area of Science:
- Genomics
- Epigenetics
- Molecular Biology
Background:
- DNA methylation analysis is crucial for understanding gene regulation and disease.
- Traditional bisulfite sequencing methods face limitations in parallelization.
- Array-based and next-generation sequencing technologies offer solutions for high-throughput analysis.
Purpose of the Study:
- To adapt Infinium genotyping technology for analyzing bisulfite-converted DNA.
- To simultaneously query the methylation status of over 27,000 CpG sites in gene promoter regions.
- To establish a scalable and reproducible platform for genome-wide methylation analysis.
Main Methods:
- Adapted Infinium genotyping assay to detect methylation at CpG sites using specific query probes.
- Designed pairs of 'methylated' and 'unmethylated' probes for each CpG site.
- Utilized bisulfite conversion with a modified Zymo EZ DNA Methylation™ kit.
Main Results:
- Applied the platform to 14 human tissues, 4 Coriell cell lines, and 6 cancer cell lines.
- Observed largely unmethylated CpG sites within CpG islands (CGIs) across tissues (~80%).
- Found moderate to high methylation in non-CpG islands (~12% unmethylated), with higher prevalence of tissue-specific methylation outside CGIs.
Conclusions:
- Demonstrated a scalable, array-based platform for quantitative and reproducible methylation readout.
- The platform successfully analyzed methylation patterns across diverse human samples.
- This technology is poised to enable analysis of millions of CpG sites per sample in the future.
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