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Measurements of DNA Methylation at Seven Loci in Various Tissues of CD1 Mice

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Title
Measurements of DNA Methylation at Seven Loci in Various Tissues of CD1 Mice
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044585
Pubmed ID
Authors

Laurynas Daugela, Nicole Nüsgen, Maja Walier, Johannes Oldenburg, Rainer Schwaab, Osman El-Maarri

Abstract

In humans, considerable variation in methylation at single loci and repetitive elements in various cells and tissues is observed. Recently, several inter- and intra-tissue correlations for DNA methylation have been reported. To investigate the extent and reproducibility of such correlations, we investigated inter- and intra-tissue methylation correlations among seven different loci in 9 different tissues in a population of 100 healthy seven-week-old CD1 outbred mice. We used a highly quantitative approach to measure methylation levels to high accuracy at two single loci in the alpha-actin and myosine light chain promoters, at three differentially methylated regions of the Peg3, Snrpn and Lit1 genes associated with imprinted loci, and at two repetitive elements in the Line-1 and IAP-LTR genes in the various tissues. In this population of mice, methylation at several loci was sex-associated and intra-tissue correlations among the studied loci were observed for brain and spleen. Inter-tissue correlations were rarely observed. To investigate method-dependent experimental variability, we re-analyzed the same spleen and tongue samples using SIRPH and pyrosequencing methods and reconfirmed intra-tissue correlations for spleen and sex-associated correlations for DNA methylation for tongue. When we repeated DNA methylation measurements for a second mouse population raised under similar conditions three months later, we did not detect sex-associated or intra-tissues correlations. Additional studies that examine large numbers of loci may be required to further understand the factors that influence stability of DNA methylation.

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Geographical breakdown

Country Count As %
United States 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 50%
Student > Ph. D. Student 2 25%
Student > Doctoral Student 2 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 38%
Biochemistry, Genetics and Molecular Biology 2 25%
Veterinary Science and Veterinary Medicine 1 13%
Nursing and Health Professions 1 13%
Medicine and Dentistry 1 13%
Other 0 0%