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Open AccessJournal ArticleDOI

Increased methylation variation in epigenetic domains across cancer types

TLDR
Stochastic methylation variation of the same cDMRs, distinguishing cancer from normal tissue, is shown in colon, lung, breast, thyroid and Wilms' tumors, with intermediate variation in adenomas.
Abstract
Tumor heterogeneity is a major barrier to effective cancer diagnosis and treatment. We recently identified cancer-specific differentially DNA-methylated regions (cDMRs) in colon cancer, which also distinguish normal tissue types from each other, suggesting that these cDMRs might be generalized across cancer types. Here we show stochastic methylation variation of the same cDMRs, distinguishing cancer from normal tissue, in colon, lung, breast, thyroid and Wilms' tumors, with intermediate variation in adenomas. Whole-genome bisulfite sequencing shows these variable cDMRs are related to loss of sharply delimited methylation boundaries at CpG islands. Furthermore, we find hypomethylation of discrete blocks encompassing half the genome, with extreme gene expression variability. Genes associated with the cDMRs and large blocks are involved in mitosis and matrix remodeling, respectively. We suggest a model for cancer involving loss of epigenetic stability of well-defined genomic domains that underlies increased methylation variability in cancer that may contribute to tumor heterogeneity.

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Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia

Timothy J. Ley, +138 more
TL;DR: It is found that a complex interplay of genetic events contributes to AML pathogenesis in individual patients and the databases from this study are widely available to serve as a foundation for further investigations of AMl pathogenesis, classification, and risk stratification.
Journal ArticleDOI

Minfi: A flexible and comprehensive Bioconductor package for the analysis of Infinium DNA Methylation microarrays

TL;DR: A suite of computational tools that incorporate state-of-the-art statistical techniques for the analysis of DNAm data are described that include methods for preprocessing, quality assessment and detection of differentially methylated regions from the kilobase to the megabase scale.
Journal ArticleDOI

A decade of exploring the cancer epigenome — biological and translational implications

TL;DR: Next-generation sequencing is providing a window for visualizing the human epigenome and how it is altered in cancer, including linking epigenetic abnormalities to mutations in genes that control DNA methylation, the packaging and the function of DNA in chromatin, and metabolism.
Journal ArticleDOI

methylKit: a comprehensive R package for the analysis of genome-wide DNA methylation profiles

TL;DR: An R package that rapidly analyzes genome-wide cytosine epigenetic profiles from high-throughput methylation and Hydroxymethylation sequencing experiments is described, which includes functions for clustering, sample quality visualization, differential methylation analysis and annotation features, thus automating and simplifying many of the steps for discerning statistically significant bases or regions of DNAmethylation.
Journal ArticleDOI

Epigenetic plasticity and the hallmarks of cancer

TL;DR: It is proposed that chromatin and epigenetic aberrations have the potential to confer on cells the full range of oncogenic properties represented in the classic “hallmarks” depiction of cancer, and it is suggested that genetic, environmental, and metabolic factors can make chromatin aberrantly permissive or restrictive.
References
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Journal ArticleDOI

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

TL;DR: By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
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Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

TL;DR: Bowtie extends previous Burrows-Wheeler techniques with a novel quality-aware backtracking algorithm that permits mismatches and can be used simultaneously to achieve even greater alignment speeds.
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DAVID: Database for Annotation, Visualization, and Integrated Discovery

TL;DR: DAMID is a web-accessible program that integrates functional genomic annotations with intuitive graphical summaries that assists in the interpretation of genome-scale datasets by facilitating the transition from data collection to biological meaning.
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A comparison of normalization methods for high density oligonucleotide array data based on variance and bias

TL;DR: Three methods of performing normalization at the probe intensity level are presented: a one number scaling based algorithm and a method that uses a non-linear normalizing relation by comparing the variability and bias of an expression measure and the simplest and quickest complete data method is found to perform favorably.
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The fundamental role of epigenetic events in cancer

TL;DR: This review discusses patterns of DNA methylation and chromatin structure in neoplasia and the molecular alterations that might cause them and/or underlie altered gene expression in cancer.
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