Understanding Methylation Patterns in the Development of Cancer

Laboratory products

Understanding Methylation Patterns in the Development of Cancer

21 Aug, 2009

Published over 16 years ago. See the latest and most current information on Laboratory products.

Applied Biosystems has unveiled new approaches for using next-generation genomic analysis sequencing to better understand methylation patterns in various cancers. A team of research and development scientists

utilised the SOLiD™ System, an advanced genomic analysis technology, to characterise methylation of repetitive elements in the genome, and to identify patterns that could be used as biomarkers for cancer.

Researchers study patterns of methylation, a chemical modification to DNA across specific regions of a genome, to investigate how epigenetic changes or variations in gene expression impact on biological processes. Methylation has been reported to inactivate expression of cancer suppressing genes, while demethylation of oncogenes, when mutated or expressed at high levels, help turn a normal cell into a cancer cell. Repetitive events may lead to genomic instability and changes in expression that initiate or accelerate cancer progression.

Applied Biosystems’ scientists studied chemical modifications of DNA by taking advantage of the SOLiD System’s capabilities in the mapping and data analysis of methylation patterns. As part of this research, the team used a new reagent from Invitrogen, a division of Life Technologies, to obtain high-read densities across methylated regions of the genome. The MethylMiner™ Methylated DNA Enrichment Kit is designed to provide researchers with a library preparation protocol, allowing researchers to more easily construct DNA libraries for methylation analysis, and to identify methylation patterns as potential markers of disease susceptibility. Data presented at the 100th Annual Meeting of the American Association for Cancer Research in Denver, demonstrates the ability of the SOLiD System to comprehensively characterise the methylation status of a model genome.

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