The DOI matches its Crossref record; 77 of the 78 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Visualizing and interpreting cancer genomics data via the Xena platform
Goldman, M. J., Craft, B., Hastie, M., Repečka, K., McDade, F., Kamath, A., Banerjee, A., Luo, Y., Rogers, D., Brooks, A. N., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-020-0546-8 · Cited by 4,481
The chromatin accessibility landscape of primary human cancers
Corces, M. R., Granja, J. M., Shams, S., Louie, B. H., Seoane, J. A., Zhou, W., Silva, T. C., Groeneveld, C., Wong, C. K., Cho, S. W., et al. (2018) · Science · doi:10.1126/science.aav1898 · Cited by 1,230
“TCGA has carried out targeted DNA methylation profiling of more than 10,000 samples and, more recently, whole-genome bisulfite sequencing (WGBS) of 39 TCGA tumor samples (5).”
BackgroundSelf-citationDNA methylation aging clocks: challenges and recommendations
Bell, C. G., Lowe, R., Adams, P. D., Baccarelli, A. A., Beck, S., Bell, J. T., Christensen, B. C., Gladyshev, V. N., Heijmans, B. T., Horvath, S., et al. (2019) · Genome Biology · doi:10.1186/s13059-019-1824-y · Cited by 1,025
“Hypomethylation accumulates with the number of cell divisions, due to relatively slow PMD remethylation, as well as a reduced efficiency in very low CpG density regions.”
InfluentialNavigating the DNA methylation landscape of cancer
Nishiyama, A., & Nakanishi, M. (2021) · Trends in Genetics · doi:10.1016/j.tig.2021.05.002 · Cited by 1,001
DNA methylation: a historical perspective
Mattei, A. L., Bailly, N., & Meissner, A. (2022) · Trends in Genetics · doi:10.1016/j.tig.2022.03.010 · Cited by 920
“Incomplete methylation in these late replicating regions may result in a continued loss of DNA methylation during an organism’s life, a process that may be accelerated during tumor development and progression [259].”
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
