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题目:: Methylation profiling of human embryonic stems cells and developing human fetal liver reveals distinct dna methylation patterns characterize these samples
ID:
状态:: 发布时间Aug. 29, 2009 , 更新时间 June 2, 2014 , 提交时间 Feb. 24, 2009,
物种:: Homo sapiens
摘要:: Publication title: Distinct DNA methylation patterns characterize differentiated human embryonic stem cells and developing human fetal liver; To investigate the role of DNA methylation during human development, we developed Methyl-seq, a method that assays DNA methylation at more than 90,000 regions throughout the genome. Performing Methyl-seq on human embryonic stem cells (hESCs), their derivatives and human tissues allowed us to identify several trends during hESC and in vivo liver differentiation. First, differentiation results in DNA methylation changes at a minimal number of assayed regions, both in vitro and in vivo (2-11%). Second, in vitro hESC differentiation is characterized by both de novo methylation and demethylation, whereas in vivo fetal liver development is characterized predominantly by demethylation. Third, hESC differentiation is uniquely characterized by methylation changes specifically at H3K27me3-occupied regions, bivalent domains and low-density CpG promoters (LCPs) suggesting that these regions are more likely to be involved in transcriptional regulation during hESC differentiation. Although both H3K27me3-occupied domains and LCPs are also regions of high variability in DNA methylation state during human liver development, these regions become highly unmethylated, which is a distinct trend from that observed in hESCs. Taken together, our results indicate that hESC differentiation has a unique DNA methylation signature that may not be indicative of in vivo differentiation. Experiment Overall Design: lumina gene expression beadchips of human ES cell lines, ES-derived cells, and normal liver (15 samples). High-throughput sequencing of ES cell lines, ES-derived cells, and fetal and normal livers (17 samples). Raw data: SRA008154
实验种类:: methylation profiling by high throughput sequencing
样本量:: 32
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数据号:: E-GEOD-14966, GSE14966
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