17
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Fundamental diversity of human CpG islands at multiple biological levels

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          CpG islands (CGIs) are commonly used as genomic markers to study the patterns and regulatory consequences of DNA methylation. Interestingly, recent studies reveal a substantial diversity among CGIs: long and short CGIs, for example, exhibit contrasting patterns of gene expression complexity and nucleosome occupancy. Evolutionary origins of CGIs are also highly heterogeneous. In order to systematically evaluate potential diversities among CGIs and ultimately to illuminate the link between diversity of CGIs and their epigenetic variation, we analyzed the nucleotide-resolution DNA methylation maps (methylomes) of multiple cellular origins. We discover novel ‘clusters’ of CGIs according to their patterns of DNA methylation; the stably hypomethylated CGI cluster (cluster I), sperm-hypomethylated CGI cluster (cluster II), and variably methylated CGI cluster (cluster III). These epigenomic CGI clusters are strikingly distinct at multiple biological features including genomic, evolutionary, and functional characteristics. At the genomic level, the stably hypomethylated CGI cluster tends to be longer and harbors many more CpG dinucleotides than those in other clusters. They are also frequently associated with promoters, while CGI clusters II and III mostly reside in intragenic or intergenic regions and exhibit highly tissue-specific DNA methylation. Functional ontology terms and transcriptional profiles co-vary with CGI clusters, indicating that the regulatory functions of CGIs are tightly linked to their heterogeneity. Finally, CGIs associated with distinctive biological processes, such as diseases, aging, and imprinting, occur disproportionately across CGI clusters. These new findings provide an effective means to combine existing knowledge on CGIs into a genomic context while bringing new insights that elucidate the significance of DNA methylation across different biological conditions and demography.

          Related collections

          Most cited references40

          • Record: found
          • Abstract: found
          • Article: not found

          TRANSFAC: transcriptional regulation, from patterns to profiles.

          The TRANSFAC database on eukaryotic transcriptional regulation, comprising data on transcription factors, their target genes and regulatory binding sites, has been extended and further developed, both in number of entries and in the scope and structure of the collected data. Structured fields for expression patterns have been introduced for transcription factors from human and mouse, using the CYTOMER database on anatomical structures and developmental stages. The functionality of Match, a tool for matrix-based search of transcription factor binding sites, has been enhanced. For instance, the program now comes along with a number of tissue-(or state-)specific profiles and new profiles can be created and modified with Match Profiler. The GENE table was extended and gained in importance, containing amongst others links to LocusLink, RefSeq and OMIM now. Further, (direct) links between factor and target gene on one hand and between gene and encoded factor on the other hand were introduced. The TRANSFAC public release is available at http://www.gene-regulation.com. For yeast an additional release including the latest data was made available separately as TRANSFAC Saccharomyces Module (TSM) at http://transfac.gbf.de. For CYTOMER free download versions are available at http://www.biobase.de:8080/index.html.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The evolution of gene expression levels in mammalian organs.

            Changes in gene expression are thought to underlie many of the phenotypic differences between species. However, large-scale analyses of gene expression evolution were until recently prevented by technological limitations. Here we report the sequencing of polyadenylated RNA from six organs across ten species that represent all major mammalian lineages (placentals, marsupials and monotremes) and birds (the evolutionary outgroup), with the goal of understanding the dynamics of mammalian transcriptome evolution. We show that the rate of gene expression evolution varies among organs, lineages and chromosomes, owing to differences in selective pressures: transcriptome change was slow in nervous tissues and rapid in testes, slower in rodents than in apes and monotremes, and rapid for the X chromosome right after its formation. Although gene expression evolution in mammals was strongly shaped by purifying selection, we identify numerous potentially selectively driven expression switches, which occurred at different rates across lineages and tissues and which probably contributed to the specific organ biology of various mammals.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Stability and flexibility of epigenetic gene regulation in mammalian development.

              Wolf Reik (2007)
              During development, cells start in a pluripotent state, from which they can differentiate into many cell types, and progressively develop a narrower potential. Their gene-expression programmes become more defined, restricted and, potentially, 'locked in'. Pluripotent stem cells express genes that encode a set of core transcription factors, while genes that are required later in development are repressed by histone marks, which confer short-term, and therefore flexible, epigenetic silencing. By contrast, the methylation of DNA confers long-term epigenetic silencing of particular sequences--transposons, imprinted genes and pluripotency-associated genes--in somatic cells. Long-term silencing can be reprogrammed by demethylation of DNA, and this process might involve DNA repair. It is not known whether any of the epigenetic marks has a primary role in determining cell and lineage commitment during development.
                Bookmark

                Author and article information

                Journal
                Epigenetics
                Epigenetics
                EPI
                Epigenetics
                Landes Bioscience
                1559-2294
                1559-2308
                01 April 2014
                13 January 2014
                : 9
                : 4
                : 483-491
                Affiliations
                School of Biology; Georgia Institute of Technology; Atlanta, GA USA
                Author notes
                [* ]Correspondence to: Soojin V Yi, Email: soojinyi@ 123456gatech.edu
                Article
                2013EPI0383R1 27654
                10.4161/epi.27654
                4121359
                24419148
                8888d319-4e8c-43ff-9ba3-5342ef09c435
                Copyright © 2014 Landes Bioscience

                This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.

                History
                : 09 October 2013
                : 19 December 2013
                : 23 December 2013
                Categories
                Research Paper

                Genetics
                cpg islands,dna methylation,whole genome methylation maps,gene ontology,cancer,aging
                Genetics
                cpg islands, dna methylation, whole genome methylation maps, gene ontology, cancer, aging

                Comments

                Comment on this article