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

Cecilia De Bustos1,8* email, Edward Ramos2,3,9* email, Janet M Young2* email, Robert K Tran4,10 email, Uwe Menzel1 email, Cordelia F Langford5 email, Evan E Eichler3,6 email, Li Hsu7 email, Steve Henikoff4,6 email, Jan P Dumanski1 email and Barbara J Trask2,3 email

Department of Genetics and Pathology, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden

Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA

Department of Genome Sciences, University of Washington, Seattle, Washington, USA

Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA

The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK

Howard Hughes Medical Institute, Seattle, Washington, USA

Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA

Current address: United Nations World Food Programme, Lima, Peru

Current address: National Institutes of Health, Bethesda Maryland, USA

10  Current address: Genome Center, University of California at Davis, Davis, California, USA

author email corresponding author email* Contributed equally

Epigenetics & Chromatin 2009, 2:7doi:10.1186/1756-8935-2-7

Published: 8 June 2009

Abstract

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.


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