EZH2 oncogenic mutations drive epigenetic, transcriptional, and structural changes within chromatin domains.


Journal

Nature genetics
ISSN: 1546-1718
Titre abrégé: Nat Genet
Pays: United States
ID NLM: 9216904

Informations de publication

Date de publication:
03 2019
Historique:
received: 27 04 2018
accepted: 17 12 2018
pubmed: 30 1 2019
medline: 25 4 2019
entrez: 30 1 2019
Statut: ppublish

Résumé

Chromatin is organized into topologically associating domains (TADs) enriched in distinct histone marks. In cancer, gain-of-function mutations in the gene encoding the enhancer of zeste homolog 2 protein (EZH2) lead to a genome-wide increase in histone-3 Lys27 trimethylation (H3K27me3) associated with transcriptional repression. However, the effects of these epigenetic changes on the structure and function of chromatin domains have not been explored. Here, we found a functional interplay between TADs and epigenetic and transcriptional changes mediated by mutated EZH2. Altered EZH2 (p.Tyr646* (EZH2

Identifiants

pubmed: 30692681
doi: 10.1038/s41588-018-0338-y
pii: 10.1038/s41588-018-0338-y
doi:

Substances chimiques

Chromatin 0
Histones 0
EZH2 protein, human EC 2.1.1.43
Enhancer of Zeste Homolog 2 Protein EC 2.1.1.43

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

517-528

Références

Bonev, B. & Cavalli, G. Organization and function of the 3D genome. Nat. Rev. Genet. 17, 661–678 (2016).
doi: 10.1038/nrg.2016.112
Dixon, J. R., Gorkin, D. U. & Ren, B. Chromatin domains: the unit of chromosome organization. Mol. Cell 62, 668–680 (2016).
doi: 10.1016/j.molcel.2016.05.018
Lieberman-Aiden, E. et al. Comprehensive mapping of long-range interactions reveals folding principles of the human genome. Science 326, 289–293 (2009).
doi: 10.1126/science.1181369
Dixon, J. R. et al. Topological domains in mammalian genomes identified by analysis of chromatin interactions. Nature 485, 376–380 (2012).
doi: 10.1038/nature11082
Sexton, T. et al. Three-dimensional folding and functional organization principles of the Drosophila genome. Cell 148, 458–472 (2012).
doi: 10.1016/j.cell.2012.01.010
Nora, E. P. et al. Spatial partitioning of the regulatory landscape of the X-inactivation centre. Nature 485, 381–385 (2012).
doi: 10.1038/nature11049
Le Dily, F. et al. Distinct structural transitions of chromatin topological domains correlate with coordinated hormone-induced gene regulation. Genes Dev. 28, 2151–2162 (2014).
doi: 10.1101/gad.241422.114
de Laat, W. & Duboule, D. Topology of mammalian developmental enhancers and their regulatory landscapes. Nature 502, 499–506 (2013).
doi: 10.1038/nature12753
Fraser, J. et al. Hierarchical folding and reorganization of chromosomes are linked to transcriptional changes in cellular differentiation. Mol. Syst. Biol. 11, 852 (2015).
doi: 10.15252/msb.20156492
Hnisz, D. et al. Activation of proto-oncogenes by disruption of chromosome neighborhoods.Science 351, 1454–1458 (2016).
doi: 10.1126/science.aad9024
Weischenfeldt, J. et al. Pan-cancer analysis of somatic copy-number alterations implicates IRS4 and IGF2 in enhancer hijacking. Nat. Genet. 49, 65–74 (2017).
doi: 10.1038/ng.3722
Flavahan, W. A. et al. Insulator dysfunction and oncogene activation in IDH mutant gliomas. Nature 529, 110–114 (2016).
doi: 10.1038/nature16490
Taberlay, P. C. et al. Three-dimensional disorganisation of the cancer genome occurs coincident with long range genetic and epigenetic alterations. Genome Res. 26, 719–731 (2016).
doi: 10.1101/gr.201517.115
Plass, C. et al. Mutations in regulators of the epigenome and their connections to global chromatin patterns in cancer. Nat. Rev. Genet. 14, 765–780 (2013).
doi: 10.1038/nrg3554
Morin, R. D. et al. Somatic mutations altering EZH2 (Tyr641) in follicular and diffuse large B-cell lymphomas of germinal-center origin. Nat. Genet. 42, 181–185 (2010).
doi: 10.1038/ng.518
Souroullas, G. P. et al. An oncogenic Ezh2 mutation induces tumors through global redistribution of histone 3 lysine 27 trimethylation. Nat. Med. 22, 632–640 (2016).
doi: 10.1038/nm.4092
Tirode, F. et al. Genomic landscape of Ewing sarcoma defines an aggressive subtype with co-association of STAG2 and TP53 mutations. Cancer Discov. 4, 1342–1353 (2014).
doi: 10.1158/2159-8290.CD-14-0622
Comet, I., Riising, E. M., Leblanc, B. & Helin, K. Maintaining cell identity: PRC2-mediated regulation of transcription and cancer. Nat. Rev. Cancer 16, 803–810 (2016).
doi: 10.1038/nrc.2016.83
Sneeringer, C. J. et al. Coordinated activities of wild-type plus mutant EZH2 drive tumor-associated hypertrimethylation of lysine 27 on histone H3 (H3K27) in human B-cell lymphomas. Proc. Natl Acad. Sci. USA 107, 20980–20985 (2010).
doi: 10.1073/pnas.1012525107
Yap, D. B. et al. Somatic mutations at EZH2 Y641 act dominantly through a mechanism of selectively altered PRC2 catalytic activity, to increase H3K27 trimethylation. Blood 117, 2451–2459 (2011).
doi: 10.1182/blood-2010-11-321208
Béguelin, W. et al. EZH2 is required for germinal center formation and somatic EZH2 mutations promote lymphoid transformation. Cancer Cell 23, 677–692 (2013).
doi: 10.1016/j.ccr.2013.04.011
Oricchio, E. et al. Genetic and epigenetic inactivation of SESTRIN1 controls mTORC1 and response toEZH2 inhibition in follicular lymphoma. Sci. Transl. Med. 9, eaak9969 (2017).
doi: 10.1126/scitranslmed.aak9969
Rao, S. S. P. et al. A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping. Cell 159, 1665–1680 (2014).
doi: 10.1016/j.cell.2014.11.021
Yang, T. et al. HiCRep: assessing the reproducibility of Hi-C data using a stratum-adjusted correlation coefficient. Genome Res. 27, 1939–1949 (2017).
doi: 10.1101/gr.220640.117
Pfitzner, D., Leibbrandt, R. & Powers, D. Characterization and evaluation of similarity measures for pairs of clusterings. Knowl. Inf. Syst. 19, 361 (2009).
doi: 10.1007/s10115-008-0150-6
Shin, H. et al. TopDom: an efficient and deterministic method for identifying topological domains in genomes. Nucleic Acids Res. 44, e70 (2016).
doi: 10.1093/nar/gkv1505
Zufferey, M., Tavernari, D., Oricchio, E. & Ciriello, G. Comparison of computational methods for the identification of topologically associating domains. Genome. Biol. 19, 217 (2018).
doi: 10.1186/s13059-018-1596-9
Carty, M. et al. An integrated model for detecting significant chromatin interactions from high-resolution Hi-C data. Nat. Commun. 8, 15454 (2017).
doi: 10.1038/ncomms15454
Jin, F. et al. A high-resolution map of the three-dimensional chromatin interactome in human cells. Nature 503, 290–294 (2013).
doi: 10.1038/nature12644
McCabe, M. T. et al. EZH2 inhibition as a therapeutic strategy for lymphoma with EZH2-activating mutations. Nature 492, 108–112 (2012).
doi: 10.1038/nature11606
Ortega-Molina, A. et al. The histone lysine methyltransferase KMT2D sustains a gene expression program that represses B cell lymphoma development. Nat. Med. 21, 1199–1208 (2015).
doi: 10.1038/nm.3943
Nuytten, M. et al. The transcriptional repressor NIPP1 is an essential player in EZH2-mediated gene silencing. Oncogene 27, 1449–1460 (2008).
doi: 10.1038/sj.onc.1210774
Klein, U. et al. Transcriptional analysis of the B cell germinal center reaction. Proc. Natl Acad. Sci. 100, 2639–2644 (2003).
doi: 10.1073/pnas.0437996100
Yang, C.-S. et al. Ubiquitin modification by the E3 ligase/ADP-ribosyltransferase Dtx3L/Parp9. Mol. Cell 66, 503–516.e5 (2017).
doi: 10.1016/j.molcel.2017.04.028
Matloubian, M. et al. Lymphocyte egress from thymus and peripheral lymphoid organs is dependent on S1P receptor 1. Nature 427, 355–360 (2004).
doi: 10.1038/nature02284
Dansen, T. B. & Burgering, B. M. T. Unravelling the tumor-suppressive functions of FOXO proteins. Trends. Cell Biol. 18, 421–429 (2008).
doi: 10.1016/j.tcb.2008.07.004
Okosun, J. et al. Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma. Nat. Genet. 46, 176–181 (2014).
doi: 10.1038/ng.2856
Oricchio, E. et al. The Eph-receptor A7 is a soluble tumor suppressor for follicular lymphoma. Cell 147, 554–564 (2011).
doi: 10.1016/j.cell.2011.09.035
Chen, B. B., Glasser, J. R., Coon, T. A. & Mallampalli, R. K. F-box protein FBXL2 exerts human lung tumor suppressor-like activity by ubiquitin-mediated degradation of cyclin D3 resulting in cell cycle arrest. Oncogene 31, 2566–2579 (2012).
doi: 10.1038/onc.2011.432
Li, L., Pan, D., Chen, H., Zhang, L. & Xie, W. F-box protein FBXL2 inhibits gastric cancer proliferation by ubiquitin-mediated degradation of forkhead box M1. FEBS Lett. 590, 445–452 (2016).
doi: 10.1002/1873-3468.12071
Hatzimichael, E. et al. The collagen prolyl hydroxylases are novel transcriptionally silenced genes in lymphoma. Br. J. Cancer 107, 1423–1432 (2012).
doi: 10.1038/bjc.2012.380
Chambwe, N. et al. Variability in DNA methylation defines novel epigenetic subgroups of DLBCL associated with different clinical outcomes. Blood 123, 1699–1708 (2014).
doi: 10.1182/blood-2013-07-509885
Oricchio, E. et al. Frequent disruption of the RB pathway in indolent follicular lymphoma suggests a new combination therapy. J. Exp. Med. 211, 1379–1391 (2014).
doi: 10.1084/jem.20132120
Mavrakis, K. J. et al. Genome-wide RNA-mediated interference screen identifies miR-19 targets in Notch-induced T-cell acute lymphoblastic leukaemia. Nat. Cell Biol. 12, 372–379 (2010).
doi: 10.1038/ncb2037
Scuoppo, C. et al. A tumour suppressor network relying on the polyamine-hypusine axis. Nature 487, 244–248 (2012).
doi: 10.1038/nature11126
Schatz, J. H. et al. Targeting cap-dependent translation blocks converging survival signals by AKT and PIM kinases in lymphoma. J. Exp. Med. 208, 1799–1807 (2011).
doi: 10.1084/jem.20110846
Lupiáñez, D. G. et al. Disruptions of topological chromatin domains cause pathogenic rewiring of gene-enhancer interactions. Cell 161, 1012–1025 (2015).
doi: 10.1016/j.cell.2015.04.004
Dao, L. T. M. et al. Genome-wide characterization of mammalian promoters with distal enhancer functions. Nat. Genet. 49, 1073–1081 (2017).
doi: 10.1038/ng.3884
Boettiger, A. N. et al. Super-resolution imaging reveals distinct chromatin folding for different epigenetic states. Nature 529, 418–422 (2016).
doi: 10.1038/nature16496
Rust, M. J., Bates, M. & Zhuang, X. Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM). Nat. Methods 3, 793–796 (2006).
doi: 10.1038/nmeth929
Budanov, A. V. & Karin, M. The p53-regulated Sestrin gene products inhibit mTOR signaling. Cell 134, 451–460 (2008).
doi: 10.1016/j.cell.2008.06.028
Renault, V. M. et al. The pro-longevity gene FoxO3 is a direct target of the p53 tumor suppressor. Oncogene 30, 3207–3221 (2011).
doi: 10.1038/onc.2011.35
Schwartzman, O. et al. UMI-4C for quantitative and targeted chromosomal contact profiling. Nat. Methods 13, 685–691 (2016).
doi: 10.1038/nmeth.3922
Kleinberg, J. & Tardos, É. Algorithm Design (Pearson, Boston, 2005).

Auteurs

Maria C Donaldson-Collier (MC)

Swiss Institute for Experimental Cancer Research (ISREC), School of Life Science, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Stephanie Sungalee (S)

Swiss Institute for Experimental Cancer Research (ISREC), School of Life Science, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Marie Zufferey (M)

Department of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland.
Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.

Daniele Tavernari (D)

Department of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland.
Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.

Natalya Katanayeva (N)

Swiss Institute for Experimental Cancer Research (ISREC), School of Life Science, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Elena Battistello (E)

Swiss Institute for Experimental Cancer Research (ISREC), School of Life Science, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Department of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland.
Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.

Marco Mina (M)

Department of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland.
Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.

Kyle M Douglass (KM)

Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Timo Rey (T)

Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Franck Raynaud (F)

Department of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland.
Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.

Suliana Manley (S)

Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Giovanni Ciriello (G)

Department of Computational Biology, University of Lausanne (UNIL), Lausanne, Switzerland. giovanni.ciriello@unil.ch.
Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland. giovanni.ciriello@unil.ch.

Elisa Oricchio (E)

Swiss Institute for Experimental Cancer Research (ISREC), School of Life Science, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. elisa.oricchio@epfl.ch.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH