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Genome-scale DNA methylation maps of pluripotent and differentiated cells.

Authors :
Meissner, Alexander
Mikkelsen, Tarjei S.
Hongcang Gu
Wernig, Marius
Hanna, Jacob
Sivachenko, Andrey
Xiaolan Zhang
Bernstein, Bradley E.
Nusbaum, Chad
Jaffe, David B.
Gnirke, Andreas
Jaenisch, Rudolf
Lander, Eric S.
Source :
Nature; 8/7/2008, Vol. 454 Issue 7205, p766-770, 5p, 4 Graphs
Publication Year :
2008

Abstract

DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that ‘weak’ CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00280836
Volume :
454
Issue :
7205
Database :
Complementary Index
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
33535046
Full Text :
https://doi.org/10.1038/nature07107