The epigenetic mechanisms of gene expression regulation are a group of the key cellular and molecular pathways that lead to inherited alterations in genes' activity without changing their coding sequence. DNA methylation at the C5 position of cytosine in CpG dinucleotides is amongst the central epigenetic mechanisms. Currently, the number of studies that are devoted to the identification of methylation patterns specific to multiple sclerosis (MS), a severe chronic autoimmune disease of the central nervous system, is on a rapid rise. However, the issue of the contribution of DNA methylation to the development of the different clinical phenotypes of this highly heterogeneous disease has only begun to attract the attention of researchers. This review summarizes the data on the molecular mechanisms underlying DNA methylation and the MS risk factors that can affect the DNA methylation profile and, thereby, modulate the expression of the genes involved in the disease's pathogenesis. The focus of our attention is centered on the analysis of the published data on the differential methylation of DNA from various biological samples of MS patients obtained using both the candidate gene approach and high-throughput methods.
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http://dx.doi.org/10.32607/actanaturae.11043 | DOI Listing |
NAR Genom Bioinform
March 2025
School of Chemistry, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, 6997801 Tel Aviv, Israel.
Carcinogenesis often involves significant alterations in the cancer genome, marked by large structural variants (SVs) and copy number variations (CNVs) that are difficult to capture with short-read sequencing. Traditionally, cytogenetic techniques are applied to detect such aberrations, but they are limited in resolution and do not cover features smaller than several hundred kilobases. Optical genome mapping (OGM) and nanopore sequencing [Oxford Nanopore Technologies (ONT)] bridge this resolution gap and offer enhanced performance for cytogenetic applications.
View Article and Find Full Text PDFJ Cancer
January 2025
Department of Pathology, The seventh Medical Center, Chinese PLA General Hospital, Beijing, 100700, P.R. China.
Endometrial carcinoma (EC) is the most common malignancies of the female reproductive system in developed countries and areas. Ultrasound-guided and hysteroscopic samplings are commonly used to diagnose EC. However, clinicians question their diagnostic efficacy and the associated patient discomfort.
View Article and Find Full Text PDFAging Cell
January 2025
Department of Biobehavioral Health, Penn State University, University Park, Pennsylvania, USA.
Epigenetic clocks are a common group of tools used to measure biological aging-the progressive deterioration of cells, tissues, and organs. Epigenetic clocks have been trained almost exclusively using blood-based tissues, but there is growing interest in estimating epigenetic age using less-invasive oral-based tissues (i.e.
View Article and Find Full Text PDFGenome Biol Evol
January 2025
Department of Biology, University of Florence, 50019 Sesto Fiorentino, Italy.
In prokaryotes, DNA methylation plays roles in DNA repair, gene expression, cell cycle progression, and immune recognition of foreign DNA. Genome-wide methylation patterns can vary between strains, influencing phenotype, and gene transfer. However, broader evolutionary studies on bacterial epigenomic variation remain limited.
View Article and Find Full Text PDFEur J Med Res
January 2025
Department of Neurosurgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No 17 Panjiayuan Nanli, Chaoyang District, Beijing, 100021, People's Republic of China.
Objective: This study aimed to evaluate CTF1 expression in glioma, its relationship to patient prognosis and the tumor immune microenvironment, and effects on glioma phenotypes to identify a new therapeutic target for treating glioma precisely.
Methods: We initially assessed the expression of CTF1, a member of the IL-6 family, in glioma, using bioinformatics tools and publicly available databases. Furthermore, we examined the correlation between CTF1 expression and tumor prognosis, DNA methylation patterns, m6A-related genes, potential biological functions, the immune microenvironment, and genes associated with immune checkpoints.
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