Methylation of DNA in CpG islands plays an important role during fetal development and differentiation because CpG islands are preferentially located in upstream regions of mammalian genomic DNA, including the transcription start site of housekeeping genes and are also associated with tissue-specific genes. Somatic nuclear transfer (NT) technology has been used to generate live clones in numerous mammalian species, but only a low percentage of nuclear transferred animals develop to term. Abnormal epigenetic changes in the CpG islands of donor nuclei after nuclear transfer could contribute to a high rate of abortion during early gestation and increase perinatal death. These changes have yet to be explored. Thus, we investigated the genome-wide DNA methylation profiles of CpG islands in nuclei donor cells and NT animals. Using Restriction Landmark Genomic Scanning (RLGS), we showed, for the first time, the epigenetic profile formation of tissues from NT bovine fetuses produced from cumulus cells. From approximately 2600 unmethylated NotI sites visualized on the RLGS profile, at least 35 NotI sites showed different methylation statuses. Moreover, we proved that fetal and placental tissues from artificially inseminated and cloned cattle have tissue-specific differences in the genome-wide methylation profiles of the CpG islands. We also found that possible abnormalities occurred in the fetal brain and placental tissues of cloned animals.
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http://dx.doi.org/10.1262/jrd.17098 | DOI Listing |
Nucleic Acids Res
January 2025
Department of Genetics, The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Genome graphs, including the recently released draft human pangenome graph, can represent the breadth of genetic diversity and thus transcend the limits of traditional linear reference genomes. However, there are no genome-graph-compatible tools for analyzing whole genome bisulfite sequencing (WGBS) data. To close this gap, we introduce methylGrapher, a tool tailored for accurate DNA methylation analysis by mapping WGBS data to a genome graph.
View Article and Find Full Text PDFClin Epigenetics
January 2025
Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Alcohol consumption is an important risk factor for multiple diseases. It is typically assessed via self-report, which is open to measurement error through recall bias. Instead, molecular data such as blood-based DNA methylation (DNAm) could be used to derive a more objective measure of alcohol consumption by incorporating information from cytosine-phosphate-guanine (CpG) sites known to be linked to the trait.
View Article and Find Full Text PDFMolecules
January 2025
School of Natural Sciences, Macquarie University, Sydney, NSW 2109, Australia.
DNA methylation has been widely studied with the goal of correlating the genome profiles of various diseases with epigenetic mechanisms. Multiple approaches have been developed that employ extensive steps, such as bisulfite treatments, polymerase chain reactions (PCR), restriction digestion, sequencing, mass analysis, etc., to identify DNA methylation.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
School of Computer Science and Technology, Changchun University, Changchun 130022, China.
The tissue specificity of DNA methylation refers to the significant differences in DNA methylation patterns in different tissues. This specificity regulates gene expression, thereby supporting the specific functions of each tissue and the maintenance of normal physiological activities. Abnormal tissue-specific patterns of DNA methylation are closely related to age-related diseases.
View Article and Find Full Text PDFBiomolecules
January 2025
Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
The DNA methylation of can regulate its gene expression and may play a role in the occurrence and progression of colorectal cancer (CRC). However, the association between DNA methylation and the prognosis of CRC patients has not yet been reported. In this study, differential methylation analysis was conducted in both blood and tissue cohorts, and differential expression analysis was performed in the tissue cohort with in vitro validation.
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