Tissue-specific variation in DNA methylation levels along human chromosome 1

BACKGROUND

DNA methylation is a major epigenetic modification important for regulating gene expression and suppressing spurious transcription. Most methods to scan the genome in different tissues for differentially methylated sites have focused on the methylation of CpGs in CpG islands, which are concentrations of CpGs often associated with gene promoters.

RESULTS

Here, we use a methylation profiling strategy that is predominantly responsive to methylation differences outside of CpG islands. The method compares the yield from two samples of size-selected fragments generated by a methylation-sensitive restriction enzyme. We then profile nine different normal tissues from two human donors relative to spleen using a custom array of genomic clones covering the euchromatic portion of human chromosome 1 and representing 8% of the human genome. We observe gross regional differences in methylation states across chromosome 1 between tissues from the same individual, with the most striking differences detected in the comparison of cerebellum and spleen. Profiles of the same tissue from different donors are strikingly similar, as are the profiles of different lobes of the brain. Comparing our results with published gene expression levels, we find that clones exhibiting extreme ratios reflecting low relative methylation are statistically enriched for genes with high expression ratios, and vice versa, in most pairs of tissues examined.

CONCLUSION

The varied patterns of methylation differences detected between tissues by our methylation profiling method reinforce the potential functional significance of regional differences in methylation levels outside of CpG islands.

High-resolution profiling of an 11 Mb segment of human chromosome 22 in sporadic schwannoma using array-CGH

Previous low-resolution schwannoma studies have reported diverse frequencies (30-80%) of 22q deletions, involving the neurofibromatosis-2 tumor suppressor (NF2) gene. We constructed an array spanning 11 million base pairs of 22q encompassing the NF2 gene, with 100% coverage and an average resolution of 58 kb. Moreover, the 220 kb genomic sequence encompassing the NF2 gene was covered by 13 cosmids to further enhance the resolution of analysis. The rationale of this array-CGH study was to map and size 22q deletions around the NF2 gene in sporadic schwannoma using a reliable method with maximal resolution. We studied tumor and constitutional DNA from 47 patients and detected heterozygous deletions in 21 (45%) tumors, which could be classified into three profiles. The predominant profile (12/21) was a continuous deletion of the 11 Mb segment, consistent with monosomy 22. The second profile, comprising five schwannomas, was also in agreement with a continuous 11 Mb heterozygous deletion. However, these displayed a distinctly different level of deletion when compared to the first profile, suggesting a considerable amount of normal tissue in the tumor samples. This is the first report demonstrating the sensitivity of array-CGH to discriminate such samples. The third profile was composed of four cases displaying interstitial deletions of various sizes. Two of these did not encompass the NF2 locus, which further emphasize the importance of other loci in schwannoma development. This is the first high-resolution study performed on a large series of tumors, using an array continuously covering 1/3 of a human chromosome. Our findings warrant further studies of an extended tumor series on a full 22q genomic array, to better define additional, putative 22q-located loci important for schwannoma development. Our array also provides a new diagnostic tool for analysis of NF2 gene deletions in patients affected with neurofibromatosis-2.