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DNA methylation loss in late-replicating domains is linked to mitotic cell division
Open accessAbstract
DNA methylation loss occurs frequently in cancer genomes, primarily within lamina-associated, late-replicating regions termed partially methylated domains (PMDs). We profiled 39 diverse primary tumors and 8 matched adjacent tissues using whole-genome bisulfite sequencing (WGBS) and analyzed them alongside 343 additional human and 206 mouse WGBS datasets. We identified a local CpG sequence context associated with preferential hypomethylation in PMDs. Analysis of CpGs in this context ('solo-WCGWs') identified previously undetected PMD hypomethylation in almost all healthy tissue types. PMD hypomethylation increased with age, beginning during fetal development, and appeared to track the accumulation of cell divisions. In cancer, PMD hypomethylation depth correlated with somatic mutation density and cell cycle gene expression, consistent with its reflection of mitotic history and suggesting its application as a mitotic clock. We propose that late replication leads to lifelong progressive methylation loss, which acts as a biomarker for cellular aging and which may contribute to oncogenesis.
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“It is known that aged cells (and cancer cells) generally lose DNA methylation from gene bodies59”
From Alternative promoters in CpG depleted regions are prevalently associated with epigenetic misregulation of liver cancer transcriptomes (2023) · cites this paper as [59]
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“Old yeast cells have decreased H3K36me3 levels and increased intragenic transcripts58, while DNA methylation decreases with age in humans59.”
From Alternative promoters in CpG depleted regions are prevalently associated with epigenetic misregulation of liver cancer transcriptomes (2023) · cites this paper as [59]
In the citing paper
“Analysis of the whole genome methylomes of 39 primary tumors in mouse and human shows a pronounced loss of methylation at nuclear lamina associated partially methylated domains (PMDs) located in late replicating parts of the genome (44).”
From Dynamic DNA methylation: In the right place at the right time (2018) · cites this paper as [44]
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Cites
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
DNA methylation age of human tissues and cell types
Horvath, S. (2013) · Genome Biology · doi:10.1186/gb-2013-14-10-r115 · Cited by 7,075
Human DNA methylomes at base resolution show widespread epigenomic differences
Lister, R., Pelizzola, M., Dowen, R. H., Hawkins, R. D., Hon, G., Tonti-Filippini, J., Nery, J. R., Lee, L., Ye, Z., Ngo, Q.-M., et al. (2009) · Nature · doi:10.1038/nature08514 · Cited by 4,673
Genome-wide methylation profiles reveal quantitative views of human aging rates
Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S., Klotzle, B., Bibikova, M., Fan, J.-B., Gao, Y., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2012.10.016 · Cited by 4,270
Targeted mutation of the DNA methyltransferase gene results in embryonic lethality
Li, E., Bestor, T. H., & Jaenisch, R. (1992) · Cell · doi:10.1016/0092-8674(92)90611-f · Cited by 3,984
Hypomethylation distinguishes genes of some human cancers from their normal counterparts
Feinberg, A. P., & Vogelstein, B. (1983) · Nature · doi:10.1038/301089a0 · Cited by 2,430
Domain organization of human chromosomes revealed by mapping of nuclear lamina interactions
Guelen, L., Pagie, L., Brasset, É., Meuleman, W. R. A., Faza, M. B., Talhout, W., Eussen, B. H. J., de Klein, A., Wessels, L. F. A., de Laat, W. L., et al. (2008) · Nature · doi:10.1038/nature06947 · Cited by 2,042
Absolute quantification of somatic DNA alterations in human cancer
Carter, S. L., Cibulskis, K., Helman, E., McKenna, A., Shen, H., Zack, T. I., Laird, P. W., Onofrio, R. C., Winckler, W., Weir, B. A., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2203 · Cited by 2,031
Self-citationVariation in cancer risk among tissues can be explained by the number of stem cell divisions
Tomasetti, C., & Vogelstein, B. (2015) · Science · doi:10.1126/science.1260825 · Cited by 1,927
Global epigenomic reconfiguration during mammalian brain development
Lister, R., Mukamel, E. A., Nery, J. R., Urich, M., Puddifoot, C. A., Johnson, N. D., Lucero, J., Huang, Y., Dwork, A. J., Schultz, M. D., et al. (2013) · Science · doi:10.1126/science.1237905 · Cited by 1,830
Cited by
Sorted by citations
Items 201–300 of 419
Huang, Y., Wang, P., Zhou, W., Luo, M., Xu, Z., Cheng, R., Xu, C., Jin, X., Li, Y., & Jiang, Q. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab267 · Cited by 13
Self-citationMechanisms of DNMT3A–3L-mediated de novo DNA methylation on chromatin
Yan, Y., Zhou, X. E., Thomas, S. L., Liu, M., Lai, G.-Q., Worden, E. J., Jones, P. A., & Xu, T.-H. (2026) · Nature Structural & Molecular Biology · doi:10.1038/s41594-025-01704-4 · Cited by 14
“In somatic cells, where DNA methylation patterns are already established, de novo DNMT3 enzymes cooperate with DNMT3B3 for continuous de novo DNA methylation owing to DNA methylation loss during replication and DNA repair 44,45 .”
Unravelling the genetics and epigenetics of the ageing tumour microenvironment in cancer
Easwaran, H., & Weeraratna, A. T. (2025) · Nature reviews. Cancer · doi:10.1038/s41568-025-00868-x · Cited by 15
“Mechanistically, it is proposed that age-related epigenetic changes, including altered histone modifications and DNA methylation, accumulate as a consequence of lifelong DNA damage from replication errors and environmental exposures, among other mechanisms 75,242–244 .”
Fritsche, K., Boccellato, F., Schlaermann, P., Koeppel, M., Denecke, C., Link, A., Malfertheiner, P., Gut, I., Meyer, T. F., & Berger, H. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01406-4 · Cited by 12
Comprehensive benchmarking of tools for nanopore-based detection of DNA methylation
Kulkarni, O., Mathew, R. J., Jana, R., Zaveri, L., Ara, S., Nagabandi, T., Singh, N. K., Tallapaka, K. B., & Sowpati, D. T. (2026) · Nature Communications · doi:10.1038/s41467-026-75183-6 · Cited by 17
“The prominence of FP calls, and therefore the drop in correlation, was inversely proportional to the abundance of non-CG methylation (Supplementary Data 5, and Supplementary Figs.”
Aging drives a program of DNA methylation decay in plant organs
Dai, D., Chen, K., Tao, J., & Williams, B. P. (2026) · Science · doi:10.1126/science.adu2392 · Cited by 12
Pathoepigenetics: The Role of Epigenetic Biomarkers in Disease Pathogenesis
Cacabelos, R. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813939-4.00005-x · Cited by 12
Binder, A. M., & Horvath, S. (2022) · Springer eBooks · doi:10.1007/978-3-030-94475-9_11 · Cited by 13
Aichmüller, C., Iskar, M., Jones, D., Korshunov, A., Radlwimmer, B., Kool, M., Ernst, A., Pfister, S. M., Lichter, P., & Zapatka, M. (2020) · Neuro-Oncology · doi:10.1093/neuonc/noaa035 · Cited by 12
Masuelli, S., Real, S., Campoy, E., Branham, M. T., Marzese, D. M., Salomon, M. P., Blas, G. A. D., Arias, R., Levin, M. G., & Roqué, M. (2022) · Molecular Medicine · doi:10.1186/s10020-022-00440-5 · Cited by 16
“When deepening on the TET/DNMT relationship, it has been recently shown that TETs do compete with DNMTs in promoters of genes associated primarily to development and morphogenesis (Zhou et al. 2018).”
The role of heterochromatin in 3D genome organization during preimplantation development
Rang, F. J., Kind, J., & Guerreiro, I. M. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112248 · Cited by 11
On correlative and causal links of replicative epimutations
Zhou, W., & Reizel, Y. (2024) · Trends in Genetics · doi:10.1016/j.tig.2024.08.008 · Cited by 13
Self-citationDong, J., He, L., Yu, F., Yu, S., Liu, L., Tian, Y., Wang, Y., Wang, J., Qu, L., Wu, Y., et al. (2019) · Luminescence · doi:10.1002/bio.3619 · Cited by 11
Analysis of 5-Methylcytosine Regulators and DNA Methylation-Driven Genes in Colon Cancer
Du, C., Liu, X., Li, M., Zhao, Y., Li, J., Wen, Z., Liu, M., Yang, M., Fu, B., & Wei, M. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.657092 · Cited by 10
Kulis, M., & Martín-Subero, J. I. (2022) · British Journal of Haematology · doi:10.1111/bjh.18465 · Cited by 11
Spix, N. J., Habib, W. A., Zhang, Z., Eugster, E., Milliron, H.-Y., Sokol, D., Lee, K., Nolte, P. A., Endicott, J. L., Krzyzanowski, K. F., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-61589-1 · Cited by 9
“Previous work has shown that isolated CpGsin a WCGW context, known assolo-WCGWs,tend to lose methylation in a predictable manner that is correlated with cumulative celldivisions 9,10 .”
Self-citationHeery, R., & Schaefer, M. H. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf949 · Cited by 11
“…methylation change at TMRs may be a common occurrence across different cancers, we evaluated methylation change at the TMRs identified in the prostate metastasis samples in tumour and matching normal samples with WGBS data from eight different patients with different cancer types from TCGA [ 58 ].”
Tan, J., Wu, Z., Zhu, Y., Miao, B., Xu, D., Gu, J., Hu, M., Xu, P., & Wan, S. (2025) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2025.1662587 · Cited by 9
Epigenetic age predictors for non-invasive assessment of human skin
Vazquez, A. M., Katsanos, D., Vasile, M., Graham, A., Dyster, V., Kaveh, S., Moqri, M., & Banila, C. (2025) · npj Aging · doi:10.1038/s41514-025-00314-0 · Cited by 8
“Weselectedenzymaticmethyl-sequencing(EM-seq)asthefoundation for our database due to its ability to preserve DNA integrity and achieve broad methylome coverage — an essential feature for pro fi ling low-input DNA from non-invasive tape-stripping of human skin 14,27,28 .”
The Effect of CDK6 Expression on DNA Methylation and DNMT3B Regulation
Heller, G., Nebenfuehr, S., Bellutti, F., Ünal, H., Zojer, M., Scheiblecker, L., Sexl, V., & Kollmann, K. (2020) · iScience · doi:10.1016/j.isci.2020.101602 · Cited by 9
Cytogenomics of B-cell non-Hodgkin lymphomas: The “old” meets the “new”
Grau, M., López, C., Martín-Subero, J. I., & Beà, S. (2023) · Best Practice & Research Clinical Haematology · doi:10.1016/j.beha.2023.101513 · Cited by 8
Molecular mechanisms of maintenance DNA methylation
Mulholland, C. B., & Nishiyama, A. (2025) · Genes & Genetic Systems · doi:10.1266/ggs.25-00073 · Cited by 8
Viewing AML through a New Lens: Technological Advances in the Study of Epigenetic Regulation
Godfrey, L., & Rodríguez-Meira, A. (2022) · Cancers · doi:10.3390/cancers14235989 · Cited by 7
“Despite this, DNA methylation maintenance is imperfect, especially in genomic regions with a low CpG density [27,28].”
BackgroundYang, L., Cao, Q., Yu, Y., Sun, Y., Jiang, X. J., & Li, X. (2023) · BMC Genomics · doi:10.1186/s12864-023-09341-1 · Cited by 8
Wang, K., Li, L., Franch‐Expósito, S., Le, X., Tang, J., Li, Q., Wu, Q., Bassaganyas, L., Camps, J., Zhang, X., et al. (2021) · Molecular Oncology · doi:10.1002/1878-0261.13043 · Cited by 8
Liang, Y., Liu, M., Liu, B., Ziman, B., Peng, G., Mao, Q., Wang, X., Jiang, L., Lin, D., & Zheng, Y. (2025) · Epigenetics & Chromatin · doi:10.1186/s13072-025-00570-0 · Cited by 7
“In files from previous studies that identified common PMDs/HMDs, each region spans 100 kb[28].”
SMCHD1 maintains heterochromatin, genome compartments and epigenome landscape in human myoblasts
Huang, Z., Cui, W., Ratnayake, I. S., Gallik, K. L., Cohen, L., Tawil, R., & Pfeifer, G. P. (2025) · Nature Communications · doi:10.1038/s41467-025-62211-0 · Cited by 7
“The partial methylation of LADs has typically been explained by late replication or by a DNMT sequence preference for these domains 67,68 .”
Multiomics Analysis of Neuroblastoma Cells Reveals a Diversity of Malignant Transformations
Narmontė, M., Gibas, P., Daniūnaitė, K., Gordevičius, J., & Kriukienė, E. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.727353 · Cited by 7
Yang, G., Lü, T., Weisenberger, D. J., & Liang, G. (2022) · Genes · doi:10.3390/genes13091555 · Cited by 7
Self-citationExploring the potential of epigenetic clocks in aging research
Hao, Y., Han, K., Wang, T., Yu, J., Ding, H., & Dao, F. (2024) · Methods · doi:10.1016/j.ymeth.2024.09.001 · Cited by 7
Feng, Y., Zhang, Z., Hong, Y., Ding, Y., Liu, L., Gao, S., Fang, H., & Shi, J. (2023) · Genome Research · doi:10.1101/gr.278146.123 · Cited by 7
“S3D; Zhou et al. 2018).”
Mutational signatures define immune and Wnt-associated subtypes of ampullary carcinoma
Zhuravleva, E., Lewińska, M., O’Rourke, C. J., Pea, A., Rashid, A., Hsing, A. W., Taranta, A., Chang, D. K.-F., Gao, Y.-T., Koshiol, J. E., et al. (2024) · Gut · doi:10.1136/gutjnl-2024-333368 · Cited by 6
“In fact, DNA methylation loss can be associated with increased proliferation 27 28 following failure of DNA methylation maintenance during replication.”
Beddows, I., Djirackor, S., Omran, D. K., Jung, E., Shih, N. N. C., Roy, R., Hechmer, A., Olshen, A. B., Adelmant, G., Tom, A., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58145-2 · Cited by 7
Self-citationBeumer, N., Imbusch, C. D., Kaufmann, T., Schmidleithner, L., Guetter, K., Stüve, P., Marchel, H., Weichenhan, D., Bähr, M., Ruhland, B., et al. (2025) · Nature Immunology · doi:10.1038/s41590-025-02210-x · Cited by 6
“Dominance of hypomethylation was reported for developing lymphocytes and immune cell proliferation 40 , which has been attributed in part to specific late-replicating regions called ‘partially methylated domains’ 41,42 .”
Human brain organoids record the passage of time over multiple years
Faravelli, I., Antón-Bolaños, N., Wei, A., Faits, T., Kumar, A. S., Andreadis, S., Kästli, R., Montero‐Crespo, M., Steiger, M., Leible, D., et al. (2026) · Nature · doi:10.1038/s41586-026-10877-x · Cited by 27
“Annotations of highly methylated domains and partially methylated domains were obtained from GitHub (https://zwdzwd.github.io/pmd) 55 .”
Yan, J., Wu, X.-W., Zhu, Y.-Y., & Cang, S. (2023) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-022-04566-1 · Cited by 6
Desaulniers, D. M., Cummings‐Lorbetskie, C., Leingartner, K., Meier, M. J., Pickles, J. C., & Yauk, C. L. (2023) · Toxicology · doi:10.1016/j.tox.2023.153451 · Cited by 6
“Factors associated with DNA hypomethylation include numbers of cell divisions and late replicating loci (Zhou et al. 2018).”
BackgroundRole of DNA methylation‐based mitotic ageing indices in oral cancer development and recurrence
Ambatipudi, S., Inchanalkar, M., & Mahimkar, M. B. (2023) · Oral Diseases · doi:10.1111/odi.14764 · Cited by 6
A ternary-code DNA methylome atlas of mouse tissues
Lee, S. M., Goldberg, D. C., Cloud, C., Parker, J. B., Krapp, C. J., Loo, C. E., Kim, E., Zhao, I., Jin, C., Porecha, R., et al. (2025) · Genome biology · doi:10.1186/s13059-025-03808-y · Cited by 4
“S8a) [89].”
Self-citationMethylation reprogramming associated with aggressive prostate cancer and ancestral disparities
Craddock, J., Lutsik, P., Soh, P. X. Y., Louw, M., Hasan, M. M., Patrick, S. M., Mutambirwa, S. B. A., Stricker, P. D., Förtsch, H. E. A., Africa1K, H. P., et al. (2025) · Molecular Systems Biology · doi:10.1038/s44320-025-00153-x · Cited by 5
“(Zhou et al, 2018).”
Biological, prognostic, and therapeutic impact of the epigenome in CLL
Maiqués-Díaz, A., & Martín-Subero, J. I. (2023) · Seminars in Hematology · doi:10.1053/j.seminhematol.2023.11.005 · Cited by 5
Zhang, G., Jurinović, V., Bartels, S., Christgen, M., Christgen, H., Kandt, L. D., Mishieva, L., Ni, H., Raap, M., Klein, J., et al. (2025) · Journal of Clinical Investigation · doi:10.1172/jci177813 · Cited by 5
“This leads to the formation of PMDs in the nuclear periphery (21). cg04334496, located downstream of EYA4, is an example of methylation loss linked to gene upregulation (Supplemental Figure 4E).”
Mapping the temporal landscape of breast cancer using epigenetic entropy
Monyak, D. L., Holloway, S. T., Gumbert, G. J., Grimm, L. J., Hwang, E. S., Marks, J. R., Shibata, D. K., & Ryser, M. D. (2025) · Communications Biology · doi:10.1038/s42003-025-08867-2 · Cited by 5
Integrative modeling identifies genetic ancestry-associated molecular correlates in human cancer
Robertson, A. G., Yau, C. S. F., Carrot‐Zhang, J., Damrauer, J. S., Knijnenburg, T., Chambwe, N., Hoadley, K. A., Kemal, A., Zenklusen, J. C., Cherniack, A. D., et al. (2021) · STAR Protocols · doi:10.1016/j.xpro.2021.100483 · Cited by 5
Self-citationLi, Y., Liu, B., Zhou, X., Yang, H., Han, T., Hong, Y., Wang, C., Huang, M., Shi, Y., Li, S., et al. (2024) · JCO Precision Oncology · doi:10.1200/po.24.00111 · Cited by 5
Gorse, M., Bianchi, C., & Proudhon, C. (2024) · médecine/sciences · doi:10.1051/medsci/2024180 · Cited by 5
Tiedemann, R. L., Eden, H. E., Huang, Z., Robertson, K. D., & Rothbart, S. B. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1294-1_7 · Cited by 5
Oquendo, C. J., Parker, H., Oscier, D. G., Ennis, S., Gibson, J., & Strefford, J. C. (2021) · Journal of Translational Genetics and Genomics · doi:10.20517/jtgg.2021.04 · Cited by 6
Origin and Mechanisms of DNA Methylation Dynamics in Cancers
Easwaran, H., & Baylin, S. B. (2019) · RNA technologies · doi:10.1007/978-3-030-14792-1_2 · Cited by 5
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Castro, J. P., Shindyapina, A. V., Barbieri, A., Ying, K., Strelkova, O. S., Paulo, J. A., Tyshkovskiy, A., Meinl, R., Kerepesi, C., Petrashen, A. P., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.23.432500 · Cited by 4
Epigenetics and the gut–brain axis: Insights into DNA methylation, aging, and Alzheimer disease
Kumar, V., Shukla, R., Gangani, S., Joseph, R., Jain, S., & Yadav, H. (2026) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1016/j.jpet.2026.104299 · Cited by 5
Cause and effect in epigenetics – where lies the truth, and how can experiments reveal it?
Klutstein, M. (2020) · BioEssays · doi:10.1002/bies.202000262 · Cited by 4
Quantifying stochasticity in the aging DNA methylome
Bell, C. G. (2024) · Nature Aging · doi:10.1038/s43587-024-00634-y · Cited by 4
Direct genetic transformation bypasses tumor-associated DNA methylation alterations
Hetzel, S., Hodis, E., Triglia, E. T., Kovacsovics, A., Steinmann, K. E., Gnirke, A., Cui, M., McQuaid, D. C., Weigert, R., Pohl, G., et al. (2025) · Genome biology · doi:10.1186/s13059-025-03650-2 · Cited by 3
“…some of the transformed melanocyte models are cultured for hundreds of days prior to sampling and exhibit a global loss of methylation—likely as a function of prolonged proliferation—demonstrating that such changes can be decoupled from de novo methylation of CGI-containing promoters [9, 36] (Fig.”
InfluentialInference of genomic spatial organization from a whole genome bisulfite sequencing samplePreprint
Raineri, E., Serra, F., Beekman, R., de la Torre, B. G., Vilarrasa‐Blasi, R., Martin-Subero, I., Martı́-Renom, M. A., Gut, I. G., & Heath, S. C. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/384578 · Cited by 4
“…easy to produce to predict the results of more costly experiments has some practical appeal, but it also points the way to a simple quantification of the relation between 1 D and 3 D signal which is probably easy to extend and refine (for example by considering solo-WCGWs as described in [ 19 ]).”
Derrien, J., Guérin‐Charbonnel, C., Gaborit, V., Campion, L., Devic, M., Douillard, E., Roi, N., Avet‐Loiseau, H., Decaux, O., Facon, T. T. F., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.01.321943 · Cited by 4
Bar, D., Fishman, L., Zheng, Y., Unterman, I., Schlesinger, D., Eden, A., Lin, D., & Berman, B. P. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.16.504069 · Cited by 4
“Because DNA hypomethylation is associated with chronological age (21), it is important also to consider methylation clocks discovered directly from age association, such as the Horvath pan-tissue aging clock (35) and derivatives.”
BackgroundMethodResultInfluentialSelf-citationInsights into aging from progeroid syndrome epigenetics
Bejaoui, Y., Oshima, J., & Hajj, N. E. (2023) · Aging · doi:10.18632/aging.204977 · Cited by 4
Evolutionary dynamics of 1,976 lymphoid malignancies predict clinical outcomePreprint
Gabbutt, C., Duran‐Ferrer, M., Grant, H. E., Mallo, D., Nadeu, F., Househam, J., Villamor, N., Krali, O., Nordlund, J., Zenz, T., et al. (2023) · medRxiv · doi:10.1101/2023.11.10.23298336 · Cited by 4
Manca, P., Paoli, M., Galardi, F., Morano, F., Donato, S. D., Biganzoli, L., Malorni, L., Nardone, A., Ambrosini, M., Sciortino, C., et al. (2025) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-25-2773 · Cited by 3
Zheng, X., Wen, Y., & Zhao, X. (2024) · Molecular Human Reproduction · doi:10.1093/molehr/gaae032 · Cited by 3
Su, Y., Wang, Y., Liu, F., & Chen, Q. (2025) · Discover Oncology · doi:10.1007/s12672-025-03545-5 · Cited by 3
“This hypomethylation pattern, frequently observed in late-replicating genomic domains, appears to correlate with increased mitotic activity [60].”
DNMT1 loss leads to hypermethylation of a subset of late replicating domains by DNMT3A
Kafetzopoulos, I., Taglini, F., Pasquier, M., Davidson‐Smith, H., Rodger, C. J., Gimeno, L. P., Malcolm, A. A., & Sproul, D. (2026) · PLoS Genetics · doi:10.1371/journal.pgen.1012098 · Cited by 3
Identification of prognostic biomarkers among ICAMs in the breast cancer microenvironment
Chen, H., Pu, S., Mei, N., Liu, X., He, J., & Zhang, H. (2022) · Cancer Biomarkers · doi:10.3233/cbm-220073 · Cited by 3
“…was lower than that in the normal group, the methylation level of ICAM1 in BC was negatively correlated with the immune cell infiltration level, and high expression of ICAM1 was associated with better OS and RFS, which was consistent with the research results of Jeschke J and Zhou et al. [48,49].”
Spatiotemporal DNA methylation dynamics shape megabase-scale methylome landscapes
Toh, H., & Sasaki, H. (2024) · Life Science Alliance · doi:10.26508/lsa.202302403 · Cited by 4
“It is hypothesized that regions that replicate early in the S phase, such as compartment A, have increased exposure to methylation maintenance machinery, leading to more extensive methylation than regions that replicate later (Zhou et al, 2018).”
BackgroundMetabologenomic characterization uncovers a clinically aggressive IDH mutant glioma subtype
Nassiri, F., Ajisebutu, A. A., Patil, V. S., Mamatjan, Y., Liu, J., Wang, J. Z., Voisin, M. R., Nejad, R., Mansouri, S., Karimi, S., et al. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02713-1 · Cited by 5
“We used several previously described methods: epiTOC, epiTOC2, and solo-WCGW (or HypoClock) to calculate the epigenetic mitotic clock of gliomas in our different metabolic groups [32, 37, 38].”
Gautam, V., Duari, S., Solanki, S., Gupta, M., Mittal, A., Arora, S., Aggarwal, A., Sharma, A. K., Tyagi, S., Pankajbhai, R. K., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115270 · Cited by 3
Domain segregated 3D chromatin structure and segmented DNA methylation in carcinogenesisPreprint
Xue, Y., Yang, Y., Tian, H., Quan, H., Liu, S., Zhang, L., & Gao, Y. Q. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.13.903963 · Cited by 3
“We also examined the sequence environment effects on solo-WCGW (‘solo’ refers to the CpGs with no neighboring CpGs and ‘W’ indicates A or T nucleotide), which is reported to be the most hypomethylation-prone sites in carcinogenesis (24) (Supplementary Figure S11).”
BackgroundResultEpigenomic profiling of active regulatory elements by enrichment of unmodified CpG dinucleotidesPreprint
Tosti, L., Mould, C., Gatehouse, I., Camargo, A. V., Smith, A., Ubych, K., Laird, P. W., Kennefick, J., & Neely, R. K. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.16.575381 · Cited by 3
“Partially methylated domains (PMDs) are prevalent in the cancer methylome and are characterised by wide genomic regions (up to megabases) that bear low levels of DNA methylation 18,19,38 .”
BackgroundSelf-citationLiang, C., Ye, P., Yan, H., Zheng, P., Sun, J., Wang, Y., Li, Y., Ren, Y., Jiang, Y., Wei, R., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.19.638959 · Cited by 3
“In designing the tokenization approach for methylation data, we considered the impact of DNA background information surrounding CpG sites on methylation (13) .”
Wang, X., Dai, L., Liu, Y., Li, C., Fan, D., Zhou, Y., Li, P., Kong, Q., & Su, J. (2023) · Epigenetics & Chromatin · doi:10.1186/s13072-023-00490-x · Cited by 2
Statistical Models for High-Risk Intestinal Metaplasia with DNA Methylation Profiling
Wang, T., Huang, Y. J., & Yang, J. (2024) · Epigenomes · doi:10.3390/epigenomes8020019 · Cited by 2
Zhang, X., Zhang, W., Zhang, J., Lyu, X., Pan, H., Jia, T., Wang, T., Wang, X., & Guo, H. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf252 · Cited by 2
“Genome-wide hypomethylation, particularly in CpG-depleted regions such as retrotransposons and solo-WCGW sites, represents another hallmark of cancer and is attributed to impaired methylation maintenance during cell division [33, 34].”
KnowYourCG: Facilitating base-level sparse methylome interpretation
Goldberg, D. C., Fu, H., Atkins, D., Moyer, E. J., Lee, C. N., Deng, Y., & Zhou, W. (2025) · Science Advances · doi:10.1126/sciadv.adw3027 · Cited by 4
“Intergenic methylation is known to implicate cell replication ( 25 , 26 ), genome instability ( 25 – 28 ), cell differentiation ( 2 , 29 ), and aberrant writer/eraser enzyme activity ( 30 , 31 ).”
InfluentialSelf-citationTET CpG sequence-context-specific DNA demethylation shapes progression of IDH-mutant gliomas
Hoogstrate, Y., Ghisai, S. A., van Hijfte, L., Head, R., de Heer, I. J., Padovan, M., de Wit, M., Vallentgoed, W., Dipasquale, A., Wijnenga, M. M. J., et al. (2026) · Cell Reports Medicine · doi:10.1016/j.xcrm.2026.102682 · Cited by 2
Kerr, L., Sproul, D., & Grima, R. (2022) · Journal of The Royal Society Interface · doi:10.1098/rsif.2021.0707 · Cited by 2
“These include the formation of megabase-sized partially methylated domains in cancer which have been linked to genome instability [27,28].”
BackgroundAge-Related Variation in DNA Methylation
Keith, K., Issa, J. J., & Panjarian, S. B. (2022) · Springer eBooks · doi:10.1007/978-3-030-94475-9_10 · Cited by 2
Monitoring Social Determinants of Health Assessing Patients and Communities
Morelli, V., & Heizelman, R. (2023) · Primary Care Clinics in Office Practice · doi:10.1016/j.pop.2023.04.005 · Cited by 2
Region‐specific DNA hydroxymethylation along the malignant progression of IDH ‐mutant gliomas
Hana, T., Mukasa, A., Nomura, M., Nagae, G., Yamamoto, S., Tatsuno, K., Ueda, H., Fukuda, S., Umeda, T., Tanaka, S., et al. (2024) · Cancer Science · doi:10.1111/cas.16127 · Cited by 2
“16 Conversely, TET-mediated active demethylation, such as hydroxymethylation, has been reported in certain genomic re - gions among high-grade IDH mt gliomas and has potentially been suggested to influence gene expression.”
BackgroundNutriepigenomics: Paving the way for personalized nutrition
Park, Y. J., Song, S., Han, Y., & Lindroth, A. M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23802-4.00014-4 · Cited by 2
Rjh, S., Burger, J. A., & Zain, R. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252211968 · Cited by 2
“Global hypomethylation altering chromatin topology has been suggested to represent a ‘mitotic clock’ corresponding to the number of cell divisions in somatic cells [32].”
Toward the DNA methylation haplotype map of 11 common solid cancers
Zhang, Z., Hong, Y., Zhang, S., Zhu, X., Liu, L., Liao, X., Gu, H., Fang, H., & Shi, J. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116197 · Cited by 3
How Epigenomics Broke the Mold: An Interview with Peter W Laird
Laird, P. W. (2022) · Epigenomics · doi:10.2217/epi-2022-0066 · Cited by 2
Self-citationGull, N., Jones, M. R., Peng, P.-C., Coetzee, S. G., Silva, T. C., Plummer, J., Reyes, A. L. P., Davis, B. D., Chen, S., Lawrenson, K., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.25.267161 · Cited by 1
Self-citationMasuelli, S., Real, S., Campoy, E., Branham, M. T., Matías, M. D., Salomon, M. P., Blas, G. A. D., Arias, R., Levin, M. G., & Roqué, M. (2021) · Research Square · doi:10.21203/rs.3.rs-1020823/v1 · Cited by 2
Characterization of epigenetic alterations in esophageal cancer by whole-genome bisulfite sequencingPreprint
Pan, F., Yu, S.-X., Wang, X., Huang, H.-C., Cai, Z.-Y., Wang, J., Lin, S.-Y., Gao, Y.-L., Li, E., & Xu, L. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.05.471340 · Cited by 2
“Considering this, we next removed common PMD regions using published annotations[18] and repeated the unsupervised”
BackgroundMethodGull, N., Jones, M., Peng, P.-C., Coetzee, S. G., Silva, T. A., Plummer, J., Reyes, A., Davis, B. D., Chen, S., Lawrenson, K., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1214611/v1 · Cited by 2
Self-citationEvaluating The Infinium Human MethylationEPIC v2 BeadChipPreprint
Kaur, D., Lee, S., Goldberg, D., Spix, N. J., Hinoue, T., Li, H., Dwaraka, V. B., Smith, R. C., Shen, H., Liang, G., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2781268/v1 · Cited by 2
Self-citationMultiomics analysis of narcolepsy T cells: global hypomethylation linked to T cell proliferationPreprint
Shimada, M., Honda, M., Honda, Y., Kodama, T., Hitomi, Y., Tokunaga, K., & Miyagawa, T. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.01.592019 · Cited by 2
Copy number-independent allelic imbalance in mRNA is selected in cancer and has prognostic relevancePreprint
Palou-Márquez, G., Pericot-Masdevall, P., & Supek, F. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.07.611780 · Cited by 3
Tiedemann, R. L., Liang, G., & Jones, P. A. (2022) · Springer eBooks · doi:10.1007/978-3-030-94475-9_1 · Cited by 1
Hamm, F., Coppin, E., Yang, M., Malard, A., Schulze, A., Finke, M., Hamo, D., Salhab, A., Gasparoni, G., Walter, J., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116092 · Cited by 1
Interrogating subclonal heterogeneity of liver cancer with single-cell multi-omics analysis
Zhang, L., Hu, D., Peng, X., Su, D., Chang, L., Guo, Y., Tian, K., Huang, Q., Deng, E.-Z., Su, Z., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-24732-y · Cited by 1
“These findings align with previous studies that hypomethylated regions in cancer cells are typically gene-sparse and enriched for heterochromatin markers 18 .”
Qian, Y., Lin, R., Liu, Z., Zhang, X., Lin, D., & Su, M. (2025) · Clinical Epigenetics · doi:10.1186/s13148-025-02035-3 · Cited by 1
“To analysis of the distribution of DMPs, we obtained partial methylation domain (PMD) methylation levels from the dataset published by Zhou et al. [20] ( h t t p s : / / z w d z w d . g i t h u b . i o / p m d ) .”
Saskova, K., Landfors, M., Hlaváč, V., Šeborová, K., Brůha, J., Honkova, K., Tomášová, K., Selvi, S., Drábová, J., Hackenhaar, F. S., et al. (2026) · Mutagenesis · doi:10.1093/mutage/geag010 · Cited by 1
Chen, F., Sun, M., Chang, M., Dai, Z., Chen, Z., Li, J., Duan, Y., Li, J., Cao, X., Huang, Y., et al. (2026) · Nucleic Acids Research · doi:10.1093/nar/gkag559 · Cited by 1
“Genomic annotations of highly methylated domains (HMDs) and partially methylated domains (PMDs) were as described by Zhou et al. [ 31 ].”
A progeria syndrome links DNA hypermethylation to age-related pathology
Sarni, D., Neary, G., Carroll, P. L., Vink, C. S., Billard, C. V., Isobe, T., Weng, X., Portman, J. R., McCartney, D. L., Heyn, P., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02633-8 · Cited by 2
“As DMR analysis is based on close proximity of methylated CpGs, widely dispersed hypomethylation in CpG poor regions characteristic of aging 41 might be overlooked.”
Jang, H., Holmberg, J. C., Nicholson, J. S., Shannon, F., Cerino, E. S., Chai, H. W., Charles, S. T., & Almeida, D. M. (2026) · The Journals of Gerontology Series A · doi:10.1093/gerona/glag202 · Cited by 1
“Precise DNA methylation processes are required for normal mammalian development and influence key processes such as genomic imprinting, carcinogenesis, 19 and aging.”
Salas, L. A., Stewart, T. G., Mobley, B. C., Peng, C., Liu, J., Loganathan, S. N., Wang, J., Ma, Y., Berger, M. S., Absher, D., et al. (2022) · Cancer Research Communications · doi:10.1158/2767-9764.crc-21-0088 · Cited by 1
“Thus, they proposed a remethylation window model, where replication late in the S-phase provides less time for remethylation of newly synthesized daughter strands during DNA replication, contributing to hypomethylation during tumor growth (12).”
BackgroundInfluentialThe emerging field of opportunities for single-cell DNA methylation studies in hematology and beyond
Albinati, L., Bianchi, A., & Beekman, R. (2023) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2023.1286716 · Cited by 1
Metadata
- Authors
- Zhou, W., Dinh, H. Q., Ramjan, Z., Weisenberger, D. J., Nicolet, C. M., Shen, H., Laird, P. W., & Berman, B. P.
- Affiliations
- Van Andel Institute (US)
- Cedars-Sinai Medical Center (US)
- University of Southern California (US)
- Corresponding author
- Shen, Hui
- Laird, Peter W.
- Berman, Benjamin P.
- ORCID
- Venue
- Nature Genetics
- Published
- 2018-04
- Volume
- 50
- Issue
- 4
- Pages
- 591-602
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC5893360
- OpenAlex
- W2795164082
- Cited by
- 405
- References
- 78
- Citations by year
- 2026: 40 · 2025: 52 · 2024: 58 · 2023: 59 · 2022: 55 · 2021: 57 · 2020: 43 · 2019: 26 · 2018: 15
- FWCI
- 12.47
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Ovarian Cancer Research Fund (373933)
- University of Southern California
- Cedars-Sinai Medical Center
- National Institutes of Health
- National Human Genome Research Institute (R01HG006705)
- National Cancer Institute (U24CA143882, R01CA170550, CA184826, U24CA210969, U01CA184826)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Syndromes and Imprinting
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- DNA methylation loss, partially methylated domains, cellular aging, cell cycle gene expression, cancer epigenetics, fetal development, carcinogenesis, age-related methylation
- MeSH terms
- Whole Genome Sequencing, Aging, Animals, Cell Division, DNA Replication, DNA, Neoplasm, Female, Humans, Male, Mitosis, Neoplasms, Pregnancy, CpG Islands, DNA Methylation, Embryonic Development, Mice
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