Application of microarrays for DNA methylation profiling.

Comprehensive analyses of the human epigenome may be of critical importance in understanding the molecular mechanisms of complex diseases, development, aging, tissue specificity, parental origin effects, and sex differences, among other systemic aspects of human biology. However, traditional DNA methylation methods allowed for screening of only relatively short DNA fragments. The advent of microarrays has provided new possibilities in DNA methylation analysis, because this technology is able to interrogate a very large number of loci in a highly parallel fashion. There are several permutations of the microarray application in DNA methylation profiling, and such include microarray analysis of bisulfite modified DNA and also the enriched unmethylated or hypermethylated DNA fractions using methylation-sensitive restriction enzymes or antibodies against methylated cytosines. The method described in detail here is based on the analysis of the enriched unmethylated DNA fraction, using a series of treatments with methylation-sensitive restriction enzymes, adaptor ligation, PCR amplification, and quantitative mapping of unmethylated DNA sequences using microarrays. The key advantages of this approach are the ability to investigate DNA methylation patterns using very small DNA amounts and relatively high informativeness in comparison to the other restriction-enzyme- based strategies for DNA methylation profiling [1].

Combined restriction landmark genomic scanning and virtual genome scans identify a novel human homeobox gene, ALX3, that is hypermethylated in neuroblastoma.

Restriction landmark genome scanning (RLGS) allows comparative analysis of several thousand DNA fragments in the genome and provides a means to identify CpG islands that are altered in tumor cells as a result of amplification, deletion, or methylation changes. We have developed a novel informatics tool, designated virtual genome scan (VGS), that makes it possible to predict automatically the sequence of fragments in RLGS patterns by matching to the human genome sequence. A combination of RLGS and VGS was utilized to identify changes of chromosome 1-derived fragments in neuroblastoma. A NotI-EcoRV fragment was found to be absent frequently in neuroblastoma cell line RLGS patterns. Sequence prediction by VGS as well as cloning of the fragment showed that it contained a CpG island that is part of the human orthologue of the hamster homeobox gene Alx3. Expression analysis in a panel of human and mouse tissues showed predominant expression of ALX3 in brain tissue. Methylation-sensitive sequence analysis of the promoter region in neuroblastoma cell lines indicated that methylation of specific sequences correlated with repression of the ALX3 gene. Expression was re-induced after treatment with the methylation inhibitor 5-aza-2'-deoxycytidine. Promoter methylation analysis of ALX3 in primary neuroblastoma tumors, using methylation-sensitive polymerase chain reaction, found preferential ALX3 methylation in advanced-stage tumors. The VGS approach we have implemented in combination with RLGS is useful for the identification of genomic CpG island-related methylation changes or deletions in cancer.