Mammalian CpG islands are key epigenomic elements that were first characterized experimentally as genomic fractions with low levels of DNA methylation. Currently, CpG islands are defined based on their genomic sequences alone. Here, we develop evolutionary models to show that several distinct evolutionary processes generate and maintain CpG islands. One central evolutionary regime resulting in enriched CpG content is driven by low levels of DNA methylation and consequentially low rates of CpG deamination. Another major force forming CpG islands is biased gene conversion that stabilizes constitutively methylated CpG islands by balancing rapid deamination with CpG fixation. Importantly, evolutionary analysis and population genetics data suggest that selection for high CpG content is not a significant factor contributing to conservation of CpGs in differentially methylated regions. The heterogeneous, but not selective, origins of CpG islands have direct implications for the understanding of DNA methylation patterns in healthy and diseased cells.
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http://dx.doi.org/10.1016/j.cell.2011.04.024 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Department of Chemical Engineering, Stanford University, Stanford, CA 94305.
DNA methylation is a crucial epigenetic modification that orchestrates chromatin remodelers that suppress transcription, and aberrations in DNA methylation result in a variety of conditions such as cancers and developmental disorders. While it is understood that methylation occurs at CpG-rich DNA regions, it is less understood how distinct methylation profiles are established within various cell types. In this work, we develop a molecular-transport model that depicts the genomic exploration of DNA methyltransferase within a multiscale DNA environment, incorporating biologically relevant factors like methylation rate and CpG density to predict how patterns are established.
View Article and Find Full Text PDFClin Transl Med
January 2025
BOE Technology Group Co., Ltd, Beijing, China.
Background: Multi-omics features of cell-free DNA (cfDNA) can effectively improve the performance of non-invasive early diagnosis and prognosis of cancer. However, multimodal characterization of cfDNA remains technically challenging.
Methods: We developed a comprehensive multi-omics solution (COMOS) to specifically obtain an extensive fragmentomics landscape, presented by breakpoint characteristics of nucleosomes, CpG islands, DNase clusters and enhancers, besides typical methylation, copy number alteration of cfDNA.
Nat Commun
January 2025
Friedrich Miescher Institute for Biomedical Research, Fabrikstrasse 24, 4056, Basel, Switzerland.
In the germ line and during early embryogenesis, DNA methylation (DNAme) undergoes global erasure and re-establishment to support germ cell and embryonic development. While DNAme acquisition during male germ cell development is essential for setting genomic DNA methylation imprints, other intergenerational roles for paternal DNAme in defining embryonic chromatin are unknown. Through conditional gene deletion of the de novo DNA methyltransferases Dnmt3a and/or Dnmt3b, we observe that DNMT3A primarily safeguards against DNA hypomethylation in undifferentiated spermatogonia, while DNMT3B catalyzes de novo DNAme during spermatogonial differentiation.
View Article and Find Full Text PDFClin Epigenetics
January 2025
ISGlobal, Barcelona, Spain.
Background/objective: There is limited knowledge on how diet affects the epigenome of children. Ultra-processed food (UPF) consumption is emerging as an important factor impacting health, but mechanisms need to be uncovered. We therefore aimed to assess the association between UPF consumption and DNA methylation in children.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Laboratory of Medical Biology-Genetics, Faculty of Medicine, School of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece.
This study aimed to investigate whether genes with different modes of inheritance differ in the presence of promoter-enriched CGI loci. For each autosomal chromosome, the author searched for variations in the total number of diseases' phenotypes with autosomal dominant (AD) and recessive (AR) inheritance for a list of promoter-poor CGI (CGI-) and promoter-enriched CGI (CGI+) genes using the OMIM database. Then, the CGI- and CGI+ genes displaying random allelic or bi-allelic expression were examined.
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