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Genome-scale DNA methylation maps of pluripotent and differentiated cells

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TLDR
Low-throughput reduced representation bisulphite sequencing is established as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine.
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.

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Next-Generation Sequencing Approaches in Cancer: Where Have They Brought Us and Where Will They Take Us?

TL;DR: This review examines how NGS technologies in particular have contributed to “omics” approaches in cancer research, allowing for large-scale integrative analyses that consider hundreds of tumour samples, and takes a look at emerging opportunities provided by NGS and state-of-the-art third-generation sequencing technologies, particularly in the context of translational research.
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Genome-wide in silico prediction of gene expression

TL;DR: This study builds regression-based models that relate gene expression to the binding of 12 different TFs, 7 histone modifications and chromatin accessibility in two different tissues and finds that expression models based on computationally predicted TF binding can achieve similar accuracy to those using in vivo TF binding data.
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Host Factors in HPV-related Carcinogenesis: Cellular Mechanisms Controlling HPV Infections

TL;DR: The current knowledge about the viral life cycle is reviewed and molecular mechanisms that potentially allow the virus to escape its normal control and may trigger progression into a neoplastic (pre-) cancerous cell clone are discussed.
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Epigenetic regulation of mmp-9 gene expression.

TL;DR: How the understanding of the biology and expression of MMP-9 could be exploited to augment clinical benefits, most notably in terms of the prevention and management of degenerative diseases and cancer is reviewed.
Journal ArticleDOI

Prediction of plant height in Arabidopsis thaliana using DNA methylation data.

TL;DR: This work used methylation information for predicting plant height (PH) in Arabidopsis thaliana nonparametrically, using reproducing kernel Hilbert spaces (RKHS) regression and created a kernel that mimics the genomic relationship matrix in genomic best linear unbiased prediction (G-BLUP).
References
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Journal ArticleDOI

DNA methylation patterns and epigenetic memory

TL;DR: The heritability of methylation states and the secondary nature of the decision to invite or exclude methylation support the idea that DNA methylation is adapted for a specific cellular memory function in development.
Journal ArticleDOI

A Bivalent Chromatin Structure Marks Key Developmental Genes in Embryonic Stem Cells

TL;DR: It is proposed that bivalent domains silence developmental genes in ES cells while keeping them poised for activation, highlighting the importance of DNA sequence in defining the initial epigenetic landscape and suggesting a novel chromatin-based mechanism for maintaining pluripotency.
Journal ArticleDOI

The epigenomics of cancer.

TL;DR: Recent advances in understanding how epigenetic alterations participate in the earliest stages of neoplasia, including stem/precursor cell contributions, are reviewed and the growing implications of these advances for strategies to control cancer are discussed.
Journal ArticleDOI

Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome.

TL;DR: Insight is given into the connections between chromatin modifications and transcriptional regulatory activity and a novel functional enhancer for the carnitine transporter SLC22A5 (OCTN2) is uncovered, providing a new tool for the functional annotation of the human genome.
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