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Paradoxical association of TET loss of function with genome-wide DNA hypomethylation

López-Moyado, Isaac F., Tsagaratou, Ageliki, Yuita, Hiroshi, Seo, Hyungseok, Delatte, Benjamin, Heinz, Sven, Benner, Christopher, Rao, Anjana·2019·Proceedings of the National Academy of Sciences

Abstract

Cancer genomes are characterized by focal increases in DNA methylation, co-occurring with widespread hypomethylation. Here, we show that TET loss of function results in a similar genomic footprint. Both 5hmC in wild-type (WT) genomes and DNA hypermethylation in TET -deficient genomes are largely confined to the active euchromatic compartment, consistent with the known functions of TET proteins in DNA demethylation and the known distribution of 5hmC at transcribed genes and active enhancers. In contrast, an unexpected DNA hypomethylation noted in multiple TET -deficient genomes is primarily observed in the heterochromatin compartment. In a mouse model of T cell lymphoma driven by TET deficiency ( Tet2/3 DKO T cells), genomic analysis of malignant T cells revealed DNA hypomethylation in the heterochromatic genomic compartment, as well as reactivation of repeat elements and enrichment for single-nucleotide alterations, primarily in heterochromatic regions of the genome. Moreover, hematopoietic stem/precursor cells (HSPCs) doubly deficient for Tet2 and Dnmt3a displayed greater losses of DNA methylation than HSPCs singly deficient for Tet2 or Dnmt3a alone, potentially explaining the unexpected synergy between DNMT3A and TET2 mutations in myeloid and lymphoid malignancies. Tet1 -deficient cells showed decreased localization of DNMT3A in the heterochromatin compartment compared with WT cells, pointing to a functional interaction between TET and DNMT proteins and providing a potential explanation for the hypomethylation observed in TET -deficient genomes. Our data suggest that TET loss of function may at least partially underlie the characteristic pattern of global hypomethylation coupled to regional hypermethylation observed in diverse cancer genomes, and highlight the potential contribution of heterochromatin hypomethylation to oncogenesis.

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  1. M. Tahiliani ., Conversion of 5-methylcytosine to 5-hydroxymethylcytosine in mammalian DNA by MLL partner TET1. Science 324, 930–935 (2009). · DOI · Paper page
  2. Y. F. He ., Tet-mediated formation of 5-carboxylcytosine and its excision by TDG in mammalian DNA. Science 333, 1303–1307 (2011). · DOI
  3. X. Wu, Y. Zhang, TET-mediated active DNA demethylation: Mechanism, function and beyond. Nat. Rev. Genet. 18, 517–534 (2017). · DOI · Paper page
  4. M. Ko ., Impaired hydroxylation of 5-methylcytosine in myeloid cancers with mutant TET2. Nature 468, 839–843 (2010). · DOI · Paper page
  5. S. M. Langemeijer ., Acquired mutations in TET2 are common in myelodysplastic syndromes. Nat. Genet. 41, 838–842 (2009). · DOI · Paper page
  6. F. Lemonnier ., Recurrent TET2 mutations in peripheral T-cell lymphomas correlate with TFH-like features and adverse clinical parameters. Blood 120, 1466–1469 (2012). · DOI · Paper page
  7. L. Cimmino ., TET1 is a tumor suppressor of hematopoietic malignancy. Nat. Immunol. 16, 653–662 (2015). · DOI
  8. M. Ko, J. An, A. Rao, DNA methylation and hydroxymethylation in hematologic differentiation and transformation. Curr. Opin. Cell Biol. 37, 91–101 (2015). · DOI
  9. S. Raffel ., BCAT1 restricts αKG levels in AML stem cells leading to IDHmut-like DNA hypermethylation. Nature 551, 384–388 (2017). · DOI · Paper page
  10. G. C. Hon ., 5mC oxidation by Tet2 modulates enhancer activity and timing of transcriptome reprogramming during differentiation. Mol. Cell 56, 286–297 (2014). · DOI · Paper page
  11. A. Tsagaratou ., TET proteins regulate the lineage specification and TCR-mediated expansion of iNKT cells. Nat. Immunol. 18, 45–53 (2017). · DOI · Paper page
  12. F. Lu, Y. Liu, L. Jiang, S. Yamaguchi, Y. Zhang, Role of Tet proteins in enhancer activity and telomere elongation. Genes Dev. 28, 2103–2119 (2014). · DOI
  13. J. An ., Acute loss of TET function results in aggressive myeloid cancer in mice. Nat. Commun. 6, 10071 (2015). · DOI
  14. E. Lieberman-Aiden ., Comprehensive mapping of long-range interactions reveals folding principles of the human genome. Science 326, 289–293 (2009). · DOI · Paper page
  15. B. van Steensel, A. S. Belmont, Lamina-associated domains: Links with chromosome architecture, heterochromatin, and gene repression. Cell 169, 780–791 (2017). · DOI · Paper page
  16. I. Hiratani ., Global reorganization of replication domains during embryonic stem cell differentiation. PLoS Biol. 6, e245 (2008). · DOI
  17. B. P. Berman ., Regions of focal DNA hypermethylation and long-range hypomethylation in colorectal cancer coincide with nuclear lamina-associated domains. Nat. Genet. 44, 40–46 (2011). · DOI · Paper page
  18. G. C. Hon ., Global DNA hypomethylation coupled to repressive chromatin domain formation and gene silencing in breast cancer. Genome Res. 22, 246–258 (2012). · DOI · Paper page
  19. S. B. Baylin, P. A. Jones, Epigenetic determinants of cancer. Cold Spring Harb. Perspect. Biol. 8, a019505 (2016). · DOI · Paper page
  20. X. Zhang ., DNMT3A and TET2 compete and cooperate to repress lineage-specific transcription factors in hematopoietic stem cells. Nat. Genet. 48, 1014–1023 (2016). · DOI · Paper page
  21. Y. Huang ., The behaviour of 5-hydroxymethylcytosine in bisulfite sequencing. PLoS One 5, e8888 (2010). · DOI
  22. A. Poleshko ., Genome-nuclear lamina interactions regulate cardiac stem cell lineage restriction. Cell 171, 573–587.e14 (2017). · DOI
  23. Y. Huang ., Distinct roles of the methylcytosine oxidases Tet1 and Tet2 in mouse embryonic stem cells. Proc. Natl. Acad. Sci. U.S.A. 111, 1361–1366 (2014). · DOI
  24. A. Bendelac, P. B. Savage, L. Teyton, The biology of NKT cells. Annu. Rev. Immunol. 25, 297–336 (2007). · DOI
  25. R. Z. Chen, U. Pettersson, C. Beard, L. Jackson-Grusby, R. Jaenisch, DNA hypomethylation leads to elevated mutation rates. Nature 395, 89–93 (1998). · DOI
  26. A. Eden, F. Gaudet, A. Waghmare, R. Jaenisch, Chromosomal instability and tumors promoted by DNA hypomethylation. Science 300, 455 (2003). · DOI
  27. L. B. Alexandrov .; Australian Pancreatic Cancer Genome Initiative; ICGC Breast Cancer Consortium; ICGC MMML-Seq Consortium; ICGC PedBrain, Signatures of mutational processes in human cancer. Nature 500, 415–421 (2013). Erratum in: Nature 502, 258 (2013). · DOI · Paper page
  28. P. Zeller ., Histone H3K9 methylation is dispensable for Caenorhabditis elegans development but suppresses RNA:DNA hybrid-associated repeat instability. Nat. Genet. 48, 1385–1395 (2016). · DOI · Paper page
  29. Q. Zhu ., Heterochromatin-encoded satellite RNAs induce breast cancer. Mol. Cell 70, 842–853.e7 (2018). · DOI
  30. M. P. Crossley, M. Bocek, K. A. Cimprich, R-loops as cellular regulators and genomic threats. Mol. Cell 73, 398–411 (2019). · DOI
  31. S. J. Boguslawski ., Characterization of monoclonal antibody to DNA.RNA and its application to immunodetection of hybrids. J. Immunol. Methods 89, 123–130 (1986). · DOI
  32. L. Couronné, C. Bastard, O. A. Bernard, TET2 and DNMT3A mutations in human T-cell lymphoma. N. Engl. J. Med. 366, 95–96 (2012). · DOI · Paper page
  33. O. Odejide ., A targeted mutational landscape of angioimmunoblastic T-cell lymphoma. Blood 123, 1293–1296 (2014). · DOI · Paper page
  34. M. Jeong ., Large conserved domains of low DNA methylation maintained by Dnmt3a. Nat. Genet. 46, 17–23 (2014). · DOI · Paper page
  35. R. Lister ., Hotspots of aberrant epigenomic reprogramming in human induced pluripotent stem cells. Nature 471, 68–73 (2011). · DOI
  36. X. Li ., Tet proteins influence the balance between neuroectodermal and mesodermal fate choice by inhibiting Wnt signaling. Proc. Natl. Acad. Sci. U.S.A. 113, E8267–E8276 (2016).
  37. H. A. Cruickshanks ., Senescent cells harbour features of the cancer epigenome. Nat. Cell Biol. 15, 1495–1506 (2013). · DOI · Paper page
  38. K. E. Bachman, M. R. Rountree, S. B. Baylin, Dnmt3a and Dnmt3b are transcriptional repressors that exhibit unique localization properties to heterochromatin. J. Biol. Chem. 276, 32282–32287 (2001). · DOI
  39. M. Manzo ., Isoform-specific localization of DNMT3A regulates DNA methylation fidelity at bivalent CpG islands. EMBO J. 36, 3421–3434 (2017). · DOI
  40. T. Gu ., DNMT3A and TET1 cooperate to regulate promoter epigenetic landscapes in mouse embryonic stem cells. Genome Biol. 19, 88 (2018). · DOI
  41. L. M. Iyer ., Lineage-specific expansions of TET/JBP genes and a new class of DNA transposons shape fungal genomic and epigenetic landscapes. Proc. Natl. Acad. Sci. U.S.A. 111, 1676–1683 (2014). · DOI
  42. G. L. Xu ., Chromosome instability and immunodeficiency syndrome caused by mutations in a DNA methyltransferase gene. Nature 402, 187–191 (1999). · DOI
  43. T. Mazor, A. Pankov, J. S. Song, J. F. Costello, Intratumoral heterogeneity of the epigenome. Cancer Cell 29, 440–451 (2016). · DOI

Cited by

Metadata

Authors
López-Moyado, I. F., Tsagaratou, A., Yuita, H., Seo, H., Delatte, B., Heinz, S., Benner, C., & Rao, A.
Venue
Proceedings of the National Academy of Sciences
Published
2019-08
Volume
116
Issue
34
Pages
16933-16942
ISSN
  • 0027-8424
  • 1091-6490
Cited by
131
References
17
Language
en

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