The DOI matches its Crossref record; 45 of the 47 references it cites were found in a registry or an index.
The histone mark H3K36me2 recruits DNMT3A and shapes the intergenic DNA methylation landscape
Open accessAbstract
Enzymes that catalyse CpG methylation in DNA, including the DNA methyltransferases 1 (DNMT1), 3A (DNMT3A) and 3B (DNMT3B), are indispensable for mammalian tissue development and homeostasis 1-4. They are also implicated in human developmental disorders and cancers 5-8, supporting the critical role of DNA methylation in the specification and maintenance of cell fate. Previous studies have suggested that post-translational modifications of histones are involved in specifying patterns of DNA methyltransferase localization and DNA methylation at promoters and actively transcribed gene bodies 9-11. However, the mechanisms that control the establishment and maintenance of intergenic DNA methylation remain poorly understood. Tatton-Brown-Rahman syndrome (TBRS) is a childhood overgrowth disorder that is defined by germline mutations in DNMT3A. TBRS shares clinical features with Sotos syndrome (which is caused by haploinsufficiency of NSD1, a histone methyltransferase that catalyses the dimethylation of histone H3 at K36 (H3K36me2)8,12,13), which suggests that there is a mechanistic link between these two diseases. Here we report that NSD1-mediated H3K36me2 is required for the recruitment of DNMT3A and maintenance of DNA methylation at intergenic regions. Genome-wide analysis shows that the binding and activity of DNMT3A colocalize with H3K36me2 at non-coding regions of euchromatin. Genetic ablation of Nsd1 and its paralogue Nsd2 in mouse cells results in a redistribution of DNMT3A to H3K36me3-modified gene bodies and a reduction in the methylation of intergenic DNA. Blood samples from patients with Sotos syndrome and NSD1-mutant tumours also exhibit hypomethylation of intergenic DNA. The PWWP domain of DNMT3A shows dual recognition of H3K36me2 and H3K36me3 in vitro, with a higher binding affinity towards H3K36me2 that is abrogated by TBRS-derived missense mutations. Together, our study reveals a trans-chromatin regulatory pathway that connects aberrant intergenic CpG methylation to human neoplastic and developmental overgrowth.
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 cited source says what the claim attributes to it.
In the citing paper
“studies have suggested that the patterns of DNA methyltransferase localization, DNA methylation, and actively transcribed gene bodies may be specified by histone modifications.113,114”
From Epigenetic regulation in major depression and other stress-related disorders: molecular mechanisms, clinical relevance and therapeutic potential (2023) · cites this paper as [113]
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
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Self-citationFast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Self-citationSTAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
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
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Robinson, J. T., Thorvaldsdóttir, H., Winckler, W., Guttman, M., Lander, E. S., Getz, G., & Mesirov, J. P. (2011) · Nature Biotechnology · doi:10.1038/nbt.1754 · Cited by 15,390
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
Thorvaldsdottir, H., Robinson, J. T., & Mesirov, J. P. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs017 · Cited by 9,049
Okano, M., Bell, D. W., Haber, D. A., & Li, E. (1999) · Cell · doi:10.1016/s0092-8674(00)81656-6 · Cited by 6,143
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
Optimal Detection of Changepoints With a Linear Computational Cost
Killick, R., Fearnhead, P., & Eckley, I. A. (2012) · Journal of the American Statistical Association · doi:10.1080/01621459.2012.737745 · Cited by 2,586
DNMT3A Mutations in Acute Myeloid Leukemia
Ley, T. J., Ding, L., Walter, M. J., McLellan, M. D., Lamprecht, T., Larson, D. E., Kandoth, C., Payton, J. E., Baty, J., Welch, J., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1005143 · Cited by 1,983
DNMT3L connects unmethylated lysine 4 of histone H3 to de novo methylation of DNA
Ooi, S. K. T., Qiu, C., Bernstein, E., Li, K., Jia, D., Yang, Z., Erdjument‐Bromage, H., Tempst, P., Lin, S., Allis, C. D., et al. (2007) · Nature · doi:10.1038/nature05987 · Cited by 1,648
Self-citationXu, G., Bestor, T. H., Bourc’his, D., Hsieh, C., Tommerup, N., Bugge, M., Hultén, M. A., Qu, X., Russo, J. J., & Viégas-Pèquignot, E. (1999) · Nature · doi:10.1038/46052 · Cited by 1,204
Dnmt3a is essential for hematopoietic stem cell differentiation
Challen, G. A., Sun, D., Jeong, M., Luo, M., Jelinek, J., Berg, J. S., Bock, C., Vasanthakumar, A., Gu, H., Xi, Y., et al. (2012) · Nature Genetics · doi:10.1038/ng.1009 · Cited by 1,122
Shen, L., Shao, N., Liu, X., & Nestler, E. J. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-284 · Cited by 866
Genomic profiling of DNA methyltransferases reveals a role for DNMT3B in genic methylation
Baubec, T., Colombo, D. F., Wirbelauer, C., Schmidt, J., Burger, L., Krebs, A. R., Akalin, A., & Schübeler, D. (2015) · Nature · doi:10.1038/nature14176 · Cited by 705
Berman, B. P., Weisenberger, D. J., Aman, J. F., Hinoue, T., Ramjan, Z., Liu, Y., Noushmehr, H., Lange, C. P. E., van Dijk, C. M., Tollenaar, R. A. E. M., et al. (2012) · Nature Genetics · doi:10.1038/ng.969 · Cited by 660
Haploinsufficiency of NSD1 causes Sotos syndrome
Kurotaki, N., Imaizumi, K., Harada, N., Masuno, M., Kondoh, T., Nagai, T., Ohashi, H., Naritomi, K., Tsukahara, M., Makita, Y., et al. (2002) · Nature Genetics · doi:10.1038/ng863 · Cited by 647
Dnmt3a-Dependent Nonpromoter DNA Methylation Facilitates Transcription of Neurogenic Genes
Wu, H., Coskun, V., Tao, J., Xie, W., Ge, W., Yoshikawa, K., Li, E., Zhang, Y., & Sun, Y. E. (2010) · Science · doi:10.1126/science.1190485 · Cited by 604
The Dnmt3a PWWP Domain Reads Histone 3 Lysine 36 Trimethylation and Guides DNA Methylation
Dhayalan, A., Rajavelu, A., Rathert, P., Tamas, R., Jurkowska, R. Z., Ragozin, S., & Jeltsch, A. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.089433 · Cited by 597
Quantitative ChIP-Seq normalization reveals global modulation of the epigenome
Orlando, D. A., Chen, M. W., Brown, V. E., Solanki, S., Choi, Y. J., Olson, E. R., Fritz, C. C., Bradner, J. E., & Guenther, M. G. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.10.018 · Cited by 503
NSD2 Links Dimethylation of Histone H3 at Lysine 36 to Oncogenic Programming
Kuo, A. J., Cheung, P., Chen, K., Zee, B. M., Kioi, M., Lauring, J. D., Xi, Y., Park, B. H., Shi, X., Garcia, B. A., et al. (2011) · Molecular Cell · doi:10.1016/j.molcel.2011.08.042 · Cited by 458
Self-citationDecoding the regulatory landscape of medulloblastoma using DNA methylation sequencing
Hovestadt, V., Jones, D., Picelli, S., Wang, W., Kool, M., Northcott, P. A., Sultan, M., Stachurski, K., Ryzhova, M. V., Warnatz, H.-J., et al. (2014) · Nature · doi:10.1038/nature13268 · Cited by 452
Phosphorylation of RNA polymerase II CTD regulates H3 methylation in yeastPreprint
Xiao, T., Hall, H., Kizer, K. O., Shibata, Y., Hall, M. C., Borchers, C. H., & Strahl, B. D. (2003) · Genes & Development · doi:10.1101/gad.1055503 · Cited by 421
Mutations in DNMT1 cause hereditary sensory neuropathy with dementia and hearing loss
Klein, C. J., Botuyan, M. V., Wu, Y., Ward, C. J., Nicholson, G. A., Hammans, S. R., Hojo, K., Yamanishi, H., Karpf, A. R., Wallace, D. C., et al. (2011) · Nature Genetics · doi:10.1038/ng.830 · Cited by 419
Tatton‐Brown, K., Seal, S., Ruark, E., Harmer, J. E., Ramsay, E., Duarte, S. D. V., Zachariou, A., Hanks, S., O’Brien, E. M., Aksglæde, L., et al. (2014) · Nature Genetics · doi:10.1038/ng.2917 · Cited by 367
NSD1 is essential for early post‐implantation development and has a catalytically active SET domain
Rayasam, G. V., Wendling, O., Angrand, P., Mark, M. P., Niederreither, K., Song, L., Lerouge, T., Hager, G. L., Chambon, P., & Losson, R. (2003) · The EMBO Journal · doi:10.1093/emboj/cdg288 · Cited by 352
DNA methylation: TET proteins—guardians of CpG islands?
Williams, K., Christensen, J. F., & Helin, K. (2011) · EMBO Reports · doi:10.1038/embor.2011.233 · Cited by 333
Jaju, R. J. (2001) · Blood · doi:10.1182/blood.v98.4.1264 · Cited by 306
Impaired H3K36 methylation defines a subset of head and neck squamous cell carcinomas
Papillon‐Cavanagh, S., Lü, C., Gayden, T., Mikael, L. G., Béchet, D., Karamboulas, C., Ailles, L., Karamchandani, J., Marchione, D. M., Garcia, B. A., et al. (2017) · Nature Genetics · doi:10.1038/ng.3757 · Cited by 248
Self-citationSidoli, S., Bhanu, N. V., Karch, K. R., Wang, X., & Garcia, B. A. (2016) · Journal of Visualized Experiments · doi:10.3791/54112 · Cited by 237
Self-citationTatton‐Brown, K., Loveday, C., Yost, S. E., Clarke, M., Ramsay, E., Zachariou, A., Elliott, A., Wylie, H., Ardissone, A., Rittinger, O., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.03.010 · Cited by 229
NSD1 mutations generate a genome-wide DNA methylation signature
Choufani, S., Cytrynbaum, C. S., Chung, B. H., Turinsky, A. L., Grafodatskaya, D., Chen, Y., Cohen, A. S. A., Dupuis, L., Butcher, D. T., Siu, M., et al. (2015) · Nature Communications · doi:10.1038/ncomms10207 · Cited by 214
EpiProfile 2.0: A Computational Platform for Processing Epi-Proteomics Mass Spectrometry Data
Yuan, Z., Sidoli, S., Marchione, D. M., Simithy, J., Janssen, K. A., Szurgot, M. R., & Garcia, B. A. (2018) · Journal of Proteome Research · doi:10.1021/acs.jproteome.8b00133 · Cited by 188
Self-citationRao, B., Shibata, Y., Strahl, B. D., & Lieb, J. D. (2005) · Molecular and Cellular Biology · doi:10.1128/mcb.25.21.9447-9459.2005 · Cited by 178
In vivo targeting of de novo DNA methylation by histone modifications in yeast and mouse
Morselli, M., Pastor, W. A., Montanini, B., Nee, K., Ferrari, R., Fu, K., Bonora, G., Rubbi, L., Clark, A. T., Ottonello, S., et al. (2015) · eLife · doi:10.7554/elife.06205 · Cited by 167
Heyn, P. C., Logan, C. V., Fluteau, A., Challis, R. C., Auchynnikava, T., Martin, C.-A., Marsh, J. A., Taglini, F., Kilanowski, F. M., Parry, D. A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0274-x · Cited by 160
FBXL10 protects Polycomb-bound genes from hypermethylation
Boulard, M., Edwards, J. R., & Bestor, T. H. (2015) · Nature Genetics · doi:10.1038/ng.3272 · Cited by 153
The Power of the Pruned Exact Linear Time(PELT) Test in Multiple Changepoint Detection
Wambui, G. D. (2015) · American Journal of Theoretical and Applied Statistics · doi:10.11648/j.ajtas.20150406.30 · Cited by 121
A DNMT3A PWWP mutation leads to methylation of bivalent chromatin and growth retardation in mice
Sendžikaitė, G., Hanna, C. W., Stewart-Morgan, K. R., Ivanova, E., & Kelsey, G. (2019) · Nature Communications · doi:10.1038/s41467-019-09713-w · Cited by 112
Jeffries, A. R., Maroofian, R., Salter, C. G., Chioza, B. A., Cross, H. E., Patton, M. A., Dempster, E. L., Temple, I. K., Mackay, D., Rezwan, F. I., et al. (2019) · Genome Research · doi:10.1101/gr.243584.118 · Cited by 57
Rinaldi, L., Avgustinova, A., Martı́n, M., Datta, D., Solanas, G., Prats, N., & Benitah, S. A. (2017) · eLife · doi:10.7554/elife.21697 · Cited by 56
Doynova, M., Markworth, J. F., Cameron‐Smith, D., Vickers, M. H., & O'Sullivan, J. M. (2017) · Skeletal Muscle · doi:10.1186/s13395-017-0122-1 · Cited by 55
A Transposon-Based Analysis of Gene Mutations Related to Skin Cancer Development
Quintana, R. M., Dupuy, A. J., Bravo, A., Casanova, M., Alameda, J. P., Page, A., Sánchez-Viera, M., Ramı́rez, Á., & Navarro, M. (2012) · Journal of Investigative Dermatology · doi:10.1038/jid.2012.245 · Cited by 46
Cited by
Sorted by citations
Histone post-translational modifications - cause and consequence of genome function
Millán-Zambrano, G., Burton, A., Bannister, A. J., & Schneider, R. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00468-7 · Cited by 1,116
Navigating 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
Overview of Histone Modification
Zhang, Y., Sun, Z., Jia, J., Du, T., Zhang, N., Tang, Y., Fang, Y., & Fang, D. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-981-15-8104-5_1 · Cited by 530
CRISPR technologies for precise epigenome editing
Nakamura, M., Gao, Y., Dominguez, A. A., & Qi, L. S. (2021) · Nature Cell Biology · doi:10.1038/s41556-020-00620-7 · Cited by 456
Metadata
- Authors
- Weinberg, D. N., Papillon-Cavanagh, S., Chen, H., Yue, Y., Chen, X., Rajagopalan, K. N., Horth, C., McGuire, J. T., Xu, X., Nikbakht, H., Lemiesz, A. E., Marchione, D. M., Marunde, M. R., Meiners, M. J., Cheek, M. A., Keogh, M.-C., Bareke, E., Djedid, A., Harutyunyan, A. S., Jabado, N., Garcia, B. A., Li, H., Allis, C. D., Majewski, J., & Lu, C.
- Affiliations
- Rockefeller University (US)
- Center for Life Sciences (CN)
- Columbia University Irving Medical Center (US)
- McGill University (CA)
- University of Pennsylvania (US)
- McGill University Health Centre (CA)
- Corresponding author
- Allis, C. David
- Majewski, Jacek
- ORCID
- Weinberg, Daniel N.
- Chen, Xiao
- Rajagopalan, Kartik N.
- Horth, Cynthia
- Xu, Xinjing
- Nikbakht, Hamid
- Marchione, Dylan M.
- Marunde, Matthew R.
- Meiners, Matthew J.
- Cheek, Marcus A.
- Keogh, Michael-Christopher
- Bareke, Eric
- Djedid, Anissa
- Harutyunyan, Ashot S.
- Jabado, Nada
- Garcia, Benjamin A.
- Li, Haitao
- Allis, C. David
- Majewski, Jacek
- Venue
- Nature
- Published
- 2019-09-04
- Volume
- 573
- Issue
- 7773
- Pages
- 281-286
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6742567
- OpenAlex
- W2972254987
- Cited by
- 524
- References
- 47
- Citations by year
- 2026: 48 · 2025: 66 · 2024: 85 · 2023: 79 · 2022: 95 · 2021: 97 · 2020: 46 · 2019: 7
- FWCI
- 20.43
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Cancer Institute (P01CA196539, R00CA212257, F30CA224971, P30CA013696)
- National Institute of General Medical Sciences (T32GM008275, R44GM117683, R44GM116584, T32GM007739)
- National Institute of Environmental Health Sciences (P30ES013508)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Syndromes and Imprinting
- Keywords
- H3K36me3, DNMT3A, DNA methylation, intergenic regions, CpG methylation, NSD1, NSD2, PWWP domain, histone modifications, Sotos syndrome, Tatton-Brown-Rahman syndrome, overgrowth disorder, histone methyltransferase
- MeSH terms
- Protein Domains, DNA Methyltransferase 3A, Animals, Cell Line, DNA (Cytosine-5-)-Methyltransferases, Growth Disorders, Histones, Humans, Protein Binding, DNA Methylation, Protein Transport, DNA, Intergenic, Mice, Genome-Wide Association Study, Sotos Syndrome
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