Study of the Patterns of DNA Methylation in Human Cells Through the Prism of Intra-Strand DNA Symmetry

Cellular organisms store heritable information in two forms, genetic and epigenetic, the latter being largely dependent on cytosine methylation (5mC). Chargaff's Second Parity Rule (CSPR) describes the nucleotide composition of cellular genomes in terms of intra-strand DNA symmetry. However, it remains unknown whether DNA methylation patterns display intra-strand DNA symmetry. Computational analysis was conducted of the DNA methylation patterns observed in human cell lines and in tissue samples from healthy donors. Analysis of 5mC marks in mutually reverse-complementary pairs of short oligomers, containing CpG dinucleotide in the middle, revealed deviations from CSPR and methylation asymmetry that can be observed for two non-overlapping mirror groups defined by CpG methylation values. Deviations from CSPR, together with combinatorial probabilities of pattern distributions and computer simulations, highlight the non-random nature of methylation processes and enabled us to identify specific cell types as outliers. Further analysis revealed a compensatory methylation asymmetry that reduces deviations from intra-strand symmetry and implies the existence of strand-specific methylation during cell differentiation. Among six pairs of reverse-complementary tetranucleotides, four pairs with specific sequence motifs display pronounced methylation asymmetry. This mirror asymmetry may be associated with chromosome folding and the formation of a complex three-dimensional landscape.

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Journal
International Journal of Molecular Sciences
Published
2025-09-28
DOI
https://doi.org/10.3390/ijms26199504
Primary Topic
Epigenetics and DNA Methylation
Type
article
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article

Study of the Patterns of DNA Methylation in Human Cells Through the Prism of Intra-Strand DNA Symmetry

Bakhyt Matkarimov, Динара Бегимбетова, Sabira Taipakova, Zamart Ramazanova et al.
International Journal of Molecular Sciences
Epigenetics and DNA Methylation
article

Study of the Patterns of DNA Methylation in Human Cells Through the Prism of Intra-Strand DNA Symmetry

Bakhyt Matkarimov, Динара Бегимбетова, Sabira Taipakova, Zamart Ramazanova, Murat K. Saparbaev, Aizhan Alikul
article en

Abstract

Cellular organisms store heritable information in two forms, genetic and epigenetic, the latter being largely dependent on cytosine methylation (5mC). Chargaff's Second Parity Rule (CSPR) describes the nucleotide composition of cellular genomes in terms of intra-strand DNA symmetry. However, it remains unknown whether DNA methylation patterns display intra-strand DNA symmetry. Computational analysis was conducted of the DNA methylation patterns observed in human cell lines and in tissue samples from healthy donors. Analysis of 5mC marks in mutually reverse-complementary pairs of short oligomers, containing CpG dinucleotide in the middle, revealed deviations from CSPR and methylation asymmetry that can be observed for two non-overlapping mirror groups defined by CpG methylation values. Deviations from CSPR, together with combinatorial probabilities of pattern distributions and computer simulations, highlight the non-random nature of methylation processes and enabled us to identify specific cell types as outliers. Further analysis revealed a compensatory methylation asymmetry that reduces deviations from intra-strand symmetry and implies the existence of strand-specific methylation during cell differentiation. Among six pairs of reverse-complementary tetranucleotides, four pairs with specific sequence motifs display pronounced methylation asymmetry. This mirror asymmetry may be associated with chromosome folding and the formation of a complex three-dimensional landscape.

International Journal of Molecular SciencesVol. 26(19)
L. N. Gumilyov Eurasian National University (KZ), Centre National de la Recherche Scientifique (FR), Al-Farabi Kazakh National University (KZ), Université Paris-Saclay (FR), Institut Gustave Roussy (FR), Nazarbayev University (KZ)
Openalex Percentile: Top 76%
Epigenetics and DNA Methylation
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