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Methylation-free site patterns along a 1-Mb locus on Chr19 in cancerous and normal cells are similar. A new fast approach for analyzing unmethylated CCGG sites distribution

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Abstract

We describe a newly developed technique for rapid identification of positions of genomic DNA breaks, preexisting or introduced by specific digestion, in particular, by restriction endonucleases (RIDGES). We applied RIDGES in analyzing unmethylated CCGG sites distribution along a 1-Mb long genome region (D19S208–COX7A1 on chromosome 19) in cancerous and normal lung tissues. Both tissues were characterized by a profoundly uneven density of unmethylated sites along the fragment. Interestingly, the distribution of hypomethylated regions did not correlate with gene locations within the fragment, and one of the most hypomethylated areas contained practically no genes. We also demonstrated that the methylation pattern of a long genome DNA fragment was rather stable and practically unchanged in human lung cancer tissue as compared with its normal counterpart, in accordance with the suggestion (Ross et al. in Nat Genet 24:227–235, 2000) that cell lines of common origin have typically similar transcription profiles. An analogous suggestion might probably be made for global methylation patterns of genomic DNA.

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Acknowledgments

The authors thank V.K. Potapov and N.V. Skaptsova for oligonucleotide synthesis and B.O. Glotov for critical reading of the manuscript. The work was financially supported by grants N 2006.2003.4 (grant of the President of the Russian Federation) and a Russian Academy of Sciences grant of the Program “Physico-chemical biology. Structural, functional, and evolutional analysis of genomic cis-regulatory systems.”

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Correspondence to Tatyana Azhikina.

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Communicated by G. Georgiev

Tatyana Azhikina and Ildar Gainetdinov have equally contributed to the work

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Azhikina, T., Gainetdinov, I., Skvortsova, Y. et al. Methylation-free site patterns along a 1-Mb locus on Chr19 in cancerous and normal cells are similar. A new fast approach for analyzing unmethylated CCGG sites distribution. Mol Genet Genomics 275, 615–622 (2006). https://doi.org/10.1007/s00438-006-0111-2

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  • DOI: https://doi.org/10.1007/s00438-006-0111-2

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