Cited by 35Acute Myeloid Leukemia ResearchEpigenetics and DNA MethylationDNA Repair Mechanisms

Remethylation of Dnmt3a −/− hematopoietic cells is associated with partial correction of gene dysregulation and reduced myeloid skewing

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Ketkar, Shamika, Verdoni, Angela M., Smith, Amanda M., Bangert, Celia V., Leight, Elizabeth R., Chen, David Y., Brune, Meryl K., Helton, Nichole M. +10 more·2020·Proceedings of the National Academy of Sciences

Abstract

Mutations in the DNA methyltransferase 3A ( DNMT3A ) gene are the most common cause of age-related clonal hematopoiesis (ARCH) in older individuals, and are among the most common initiating events for acute myeloid leukemia (AML). The most frequent DNMT3A mutation in AML patients (R882H) encodes a dominant-negative protein that reduces methyltransferase activity by ∼80% in cells with heterozygous mutations, causing a focal, canonical DNA hypomethylation phenotype; this phenotype is partially recapitulated in murine Dnmt3a −/− bone marrow cells. To determine whether the hypomethylation phenotype of Dnmt3a −/− hematopoietic cells is reversible, we developed an inducible transgene to restore expression of DNMT3A in transplanted bone marrow cells from Dnmt3a −/− mice. Partial remethylation was detected within 1 wk, but near-complete remethylation required 6 mo. Remethylation was accurate, dynamic, and highly ordered, suggesting that differentially methylated regions have unique properties that may be relevant for their functions. Importantly, 22 wk of DNMT3A addback partially corrected dysregulated gene expression, and mitigated the expansion of myeloid cells. These data show that restoring DNMT3A expression can alter the epigenetic “state” created by loss of Dnmt3a activity; this genetic proof-of-concept experiment suggests that this approach could be relevant for patients with ARCH or AML caused by loss-of-function DNMT3A mutations.

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  1. [1]Steensma D. P., Clonal hematopoiesis of indeterminate potential and its distinction from myelodysplastic syndromes. Blood 126, 9– 16 (2015). 25931582 PMC4624443
  2. [2]Jaiswal S., Age-related clonal hematopoiesis associated with adverse outcomes. N. Engl. J. Med. 371, 2488– 2498 (2014). 25426837 PMC4306669
  3. [3]Xie M., Age-related mutations associated with clonal hematopoietic expansion and malignancies. Nat. Med. 20, 1472– 1478 (2014). 25326804 PMC4313872
  4. [4]Genovese G., Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence. N. Engl. J. Med. 371, 2477– 2487 (2014). 25426838 PMC4290021
  5. [5]Ley T. J., DNMT3A mutations in acute myeloid leukemia. N. Engl. J. Med. 363, 2424– 2433 (2010). 21067377 PMC3201818
  6. [7]Ley T. J.; Cancer Genome Atlas Research Network, Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia. N. Engl. J. Med. 368, 2059– 2074 (2013). 23634996 PMC3767041
  7. [8]Marcucci G., Haferlach T., Döhner H., Molecular genetics of adult acute myeloid leukemia: Prognostic and therapeutic implications. J. Clin. Oncol. 29, 475– 486 (2011). 21220609
  8. [9]Thol F., Incidence and prognostic influence of DNMT3A mutations in acute myeloid leukemia. J. Clin. Oncol. 29, 2889– 2896 (2011). 21670448
  9. [10]Yan X. J., Exome sequencing identifies somatic mutations of DNA methyltransferase gene DNMT3A in acute monocytic leukemia. Nat. Genet. 43, 309– 315 (2011). 21399634
  10. [11]Ribeiro A. F., Mutant DNMT3A: A marker of poor prognosis in acute myeloid leukemia. Blood 119, 5824– 5831 (2012). 22490330
  11. [12]Shen Y., Gene mutation patterns and their prognostic impact in a cohort of 1185 patients with acute myeloid leukemia. Blood 118, 5593– 5603 (2011). 21881046
  12. [14]Spencer D. H., CpG Island hypermethylation mediated by DNMT3A is a consequence of AML progression. Cell 168, 801– 816.e13 (2017). 28215704 PMC5328582
  13. [15]Challen G. A., Dnmt3a is essential for hematopoietic stem cell differentiation. Nat. Genet. 44, 23– 31 (2011). 22138693 PMC3637952
  14. [16]Cole C. B., Haploinsufficiency for DNA methyltransferase 3A predisposes hematopoietic cells to myeloid malignancies. J. Clin. Invest. 127, 3657– 3674 (2017). 28872462 PMC5617681
  15. [18]Jeong M., Large conserved domains of low DNA methylation maintained by Dnmt3a. Nat. Genet. 46, 17– 23 (2014). 24270360 PMC3920905
  16. [19]Hollink I. H. I. M., Acute myeloid leukaemia in a case with Tatton-Brown-Rahman syndrome: The peculiar DNMT3A R882 mutation. J. Med. Genet. 54, 805– 808 (2017). 28432085
  17. [20]Kosaki R., Terashima H., Kubota M., Kosaki K., Acute myeloid leukemia-associated DNMT3A p.Arg882His mutation in a patient with Tatton-Brown-Rahman overgrowth syndrome as a constitutional mutation. Am. J. Med. Genet. A. 173, 250– 253 (2017). 27991732
  18. [21]Shen W., The spectrum of DNMT3A variants in Tatton-Brown-Rahman syndrome overlaps with that in hematologic malignancies. Am. J. Med. Genet. A. 173, 3022– 3028 (2017). 28941052
  19. [22]Tatton-Brown K.; Clinical Assessment of the Utility of Sequencing and Evaluation as a Service (CAUSES) Research Study; Deciphering Developmental Disorders (DDD) Study, The Tatton-Brown-Rahman syndrome: A clinical study of 55 individuals with de novo constitutive DNMT3A variants. Wellcome Open Res. 3, 46 (2018). 29900417 PMC5964628
  20. [23]Challen G. A., Dnmt3a and Dnmt3b have overlapping and distinct functions in hematopoietic stem cells. Cell Stem Cell 15, 350– 364 (2014). 25130491 PMC4163922
  21. [24]Mayle A., Dnmt3a loss predisposes murine hematopoietic stem cells to malignant transformation. Blood 125, 629– 638 (2015). 25416277 PMC4304108
  22. [25]Okano M., Bell D. W., Haber D. A., Li E., DNA methyltransferases Dnmt3a and Dnmt3b are essential for de novo methylation and mammalian development. Cell 99, 247– 257 (1999). 10555141
  23. [26]Jones P. A., Liang G., Rethinking how DNA methylation patterns are maintained. Nat. Rev. Genet. 10, 805– 811 (2009). 19789556 PMC2848124
  24. [27]Farlik M., DNA methylation dynamics of human hematopoietic stem cell differentiation. Cell Stem Cell 19, 808– 822 (2016). 27867036 PMC5145815
  25. [28]Takiguchi M., Variability of inducible expression across the hematopoietic system of tetracycline transactivator transgenic mice. PLoS One 8, e54009 (2013). 23326559 PMC3543435
  26. [29]Ashburner M., Gene ontology: Tool for the unification of biology. Nat. Genet. 25, 25– 29 (2000). 10802651 PMC3037419
  27. [30]Mi H., Muruganujan A., Casagrande J. T., Thomas P. D., Large-scale gene function analysis with the PANTHER classification system. Nat. Protoc. 8, 1551– 1566 (2013). 23868073 PMC6519453
  28. [31]Mi H., Poudel S., Muruganujan A., Casagrande J. T., Thomas P. D., PANTHER version 10: Expanded protein families and functions, and analysis tools. Nucleic Acids Res. 44, D336– D342 (2016). 26578592 PMC4702852
  29. [32]Mi H., Thomas P., PANTHER pathway: An ontology-based pathway database coupled with data analysis tools. Methods Mol. Biol. 563, 123– 140 (2009). 19597783 PMC6608593
  30. [33]Heinz S., Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. Mol. Cell 38, 576– 589 (2010). 20513432 PMC2898526
  31. [35]de Graaf C. A., Haemopedia: An expression Atlas of murine hematopoietic cells. Stem Cell Reports 7, 571– 582 (2016). 27499199 PMC5031953
  32. [36]Glass J. L., Epigenetic identity in AML depends on disruption of nonpromoter regulatory elements and is affected by antagonistic effects of mutations in epigenetic modifiers. Cancer Discov. 7, 868– 883 (2017). 28408400 PMC5540802
  33. [38]Tamura T., Kurotaki D., Koizumi S., Regulation of myelopoiesis by the transcription factor IRF8. Int. J. Hematol. 101, 342– 351 (2015). 25749660
  34. [39]Chen H. M., Neutrophils and monocytes express high levels of PU.1 (Spi-1) but not Spi-B. Blood 85, 2918– 2928 (1995). 7742552
  35. [41]Person R. E., Mutations in proto-oncogene GFI1 cause human neutropenia and target ELA2. Nat. Genet. 34, 308– 312 (2003). 12778173 PMC2832179
  36. [42]Hock H., Intrinsic requirement for zinc finger transcription factor Gfi-1 in neutrophil differentiation. Immunity 18, 109– 120 (2003). 12530980
  37. [43]Peters M., Extramedullary expansion of hematopoietic progenitor cells in interleukin (IL)-6-sIL-6R double transgenic mice. J. Exp. Med. 185, 755– 766 (1997). 9034153 PMC2196150
  38. [44]Schirmacher P., Hepatocellular hyperplasia, plasmacytoma formation, and extramedullary hematopoiesis in interleukin (IL)-6/soluble IL-6 receptor double-transgenic mice. Am. J. Pathol. 153, 639– 648 (1998). 9708822 PMC1852966
  39. [45]Dai X. M., Targeted disruption of the mouse colony-stimulating factor 1 receptor gene results in osteopetrosis, mononuclear phagocyte deficiency, increased primitive progenitor cell frequencies, and reproductive defects. Blood 99, 111– 120 (2002). 11756160
  40. [46]Sasmono R. T., A macrophage colony-stimulating factor receptor-green fluorescent protein transgene is expressed throughout the mononuclear phagocyte system of the mouse. Blood 101, 1155– 1163 (2003). 12393599
  41. [47]Cecchini M. G., Role of colony stimulating factor-1 in the establishment and regulation of tissue macrophages during postnatal development of the mouse. Development 120, 1357– 1372 (1994). 8050349
  42. [48]Zhang D. E., Absence of granulocyte colony-stimulating factor signaling and neutrophil development in CCAAT enhancer binding protein alpha-deficient mice. Proc. Natl. Acad. Sci. U.S.A. 94, 569– 574 (1997). 9012825 PMC19554
  43. [49]Tamura A., Accelerated apoptosis of peripheral blood monocytes in Cebpb-deficient mice. Biochem. Biophys. Res. Commun. 464, 654– 658 (2015). 26168729
  44. [50]Scheller M., Altered development and cytokine responses of myeloid progenitors in the absence of transcription factor, interferon consensus sequence binding protein. Blood 94, 3764– 3771 (1999). 10572090
  45. [51]Tamura T., Nagamura-Inoue T., Shmeltzer Z., Kuwata T., Ozato K., ICSBP directs bipotential myeloid progenitor cells to differentiate into mature macrophages. Immunity 13, 155– 165 (2000). 10981959
  46. [52]Tsujimura H., Nagamura-Inoue T., Tamura T., Ozato K., IFN consensus sequence binding protein/IFN regulatory factor-8 guides bone marrow progenitor cells toward the macrophage lineage. J. Immunol. 169, 1261– 1269 (2002). 12133947
  47. [53]Kulis M., Epigenomic analysis detects widespread gene-body DNA hypomethylation in chronic lymphocytic leukemia. Nat. Genet. 44, 1236– 1242 (2012). 23064414
  48. [55]Duymich C. E., Charlet J., Yang X., Jones P. A., Liang G., DNMT3B isoforms without catalytic activity stimulate gene body methylation as accessory proteins in somatic cells. Nat. Commun. 7, 11453 (2016). 27121154 PMC4853477
  49. [56]Hellman A., Chess A., Gene body-specific methylation on the active X chromosome. Science 315, 1141– 1143 (2007). 17322062
  50. [58]Baylin S., Bestor T. H., Altered methylation patterns in cancer cell genomes: Cause or consequence? Cancer Cell 1, 299– 305 (2002). 12086841
  51. [59]Singal R., Ginder G. D., DNA methylation. Blood 93, 4059– 4070 (1999). 10361102
  52. [60]Heisterkamp N., Groffen J., Warburton D., Sneddon T. P., The human gamma-glutamyltransferase gene family. Hum. Genet. 123, 321– 332 (2008). 18357469
  53. [62]Jühling F., metilene: Fast and sensitive calling of differentially methylated regions from bisulfite sequencing data. Genome Res. 26, 256– 262 (2016). 26631489 PMC4728377
  54. [63]Hansen K. D., Langmead B., Irizarry R. A., BSmooth: From whole genome bisulfite sequencing reads to differentially methylated regions. Genome Biol. 13, R83 (2012). 23034175 PMC3491411
  55. [64]Trapnell C., Pachter L., Salzberg S. L., TopHat: Discovering splice junctions with RNA-seq. Bioinformatics 25, 1105– 1111 (2009). 19289445 PMC2672628
  56. [65]Pertea M., StringTie enables improved reconstruction of a transcriptome from RNA-seq reads. Nat. Biotechnol. 33, 290– 295 (2015). 25690850 PMC4643835
  57. [66]Robinson M. D., McCarthy D. J., Smyth G. K., edgeR: A bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139– 140 (2010). 19910308 PMC2796818
  58. [67]Robinson M. D., Oshlack A., A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biol. 11, R25 (2010). 20196867 PMC2864565

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Authors
Ketkar, S., Verdoni, A. M., Smith, A. M., Bangert, C. V., Leight, E. R., Chen, D. Y., Brune, M. K., Helton, N. M., Hoock, M., George, D. R., Fronick, C., Fulton, R. S., Ramakrishnan, S. M., Chang, G. S., Petti, A. A., Spencer, D. H., Miller, C. A., & Ley, T. J.
Affiliations
Washington University in St. Louis (US)
Corresponding author
Ley, Timothy J.
Venue
Proceedings of the National Academy of Sciences
Published
2020-01-29
Volume
117
Issue
6
Pages
3123-3134
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W3004078246
Cited by
35
References
9
Citations by year
2026: 3 · 2025: 4 · 2024: 3 · 2023: 3 · 2022: 9 · 2021: 9 · 2020: 4
FWCI
3.95
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Digital Commons@Becker (Washington University School of Medicine) (submittedVersion, cc-by-nc-nd)
Funders
  • NIH (CA101937, CA197561, 211782)
  • Foundation for Barnes-Jewish Hospital (615762)
Topics
  • Health Sciences › Medicine › Hematology › Acute Myeloid Leukemia Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA Repair Mechanisms
Keywords
DNMT3A, age-related clonal hematopoiesis, acute myeloid leukemia, DNA hypomethylation, differentially methylated regions, gene expression dysregulation, myeloid skewing, bone marrow transplantation, epigenetic reprogramming, hematopoietic cells
MeSH terms
DNA Methyltransferase 3A, Animals, Bone Marrow Cells, DNA (Cytosine-5-)-Methyltransferases, Hematopoiesis, Humans, Mice, Transgenic, Mutation, Gene Expression, Bone Marrow Transplantation, DNA Methylation, Mice

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