De Novo DNA Methylation Is Associated with Granulopoiesis and Megakaryopoiesis but Not Erythropoiesis

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3868-3868 ◽  
Author(s):  
Jens Lichtenberg ◽  
Elisabeth F. Heuston ◽  
Stacie M. Anderson ◽  
NIH Intramural Sequencing Center ◽  
Cheryl A. Keller ◽  
...  

Abstract Previous research has shown that progressive DNA demethylation is a feature of erythroid differentiation (Hogart et al. 2012, Genome Res., 22:1407-18; Shearstone et al. 2011, Science, 334:799-802), but the epigenetic changes that occur during granulopoiesis and megakaryopoiesis have not been well characterized. To establish a comprehensive map of changes in DNA methylation, we have extended our analysis of DNA methylation to include megakaryocytes (MEG) and their progenitors (CFU-MEG), as well as granulocyte macrophage progenitors (GMP), common myeloid progenitors (CMP) and hematopoietic stem cells (HSC; Lin- Sca-1+, c-kit+). Erythroblasts (ERY), their progenitors (CFU-E), MEG, CFU-MEG, GMP, CMP and HSC were isolated by FACS from adult C57BL/6J mouse bone marrow. We performed whole genome DNA methylation profiling using Methyl Binding Domain 2 (MBD2) pulldown with subsequent high-throughput sequencing to detect regions containing 5 or more methylated CpGs within a 200bp window. Using the reduced representation bilsulfite sequencing data of Shearstone et al. as a benchmark, we identified CCAT (Xu et al. 2010, Bioinformatics, 26:1199-1204) as the best performing peak calling software to detect de novo methylation, and used CCAT to generate DNA methylation profiles for our isolated hematopoietic populations. We confirmed that erythropoiesis undergoes global demethylation (Figure 1). Epigenetic memory is a feature of erythropopiesis, with the majority of methylation peaks detected in erythroblasts also found in their progenitors. For example, 34,427 of the 36,135 CFU-E peaks are also found in HSC. Using Ingenuity Pathway Analysis (IPA), we found that the CFU-E genes with de novo promoter methylation (380 genes) were associated with the "DNA methylation and transcriptional repression signaling pathway" (p=9.6E-5), supporting the model of suppression of DNA methylation and epigenetic memory as a feature of erythropoiesis. In contrast, we found that compared to CFU-E, CFU-MEG undergo de novo methylation. Specifically, we detected 25,531 methylation peaks in CFU-MEG that are not present in HSC or CMP (Figure 1). Genes with de novo promoter methylation in CFU-MEG (1227 genes) were associated with silencing of extracellular signaling pathways, including disruption of MAPK and FAK signaling (p=1.4E-5). We have developed a systems biology data ranch named SBR-Blood (Lichtenberg et al. 2016, Nucleic Acid Res., 44:D925-31) that includes 228 publicly available epigenetic and RNA expression profiling datasets. Using SBR-Blood, we correlated the increased methylation in CFU-MEG with increased expression of the de novo methylation genes Dnmt3A/B genes (6 and 34-fold respectively), and decreased expression of the maintenance methylation gene Dnmt1 (1.5-fold). Compared to HSC, GMP acquired 15,115 de novo methylation peaks and CMP gained 4020 de novo peaks (Figure 1). Promoter-specific de novo methylation in 784 GMP genes was associated with silencing of Endothelin-1 signaling (p=8.1E-5), an observation confirmed using RNASeq expression profiles in SBR-Blood (e.g. AC-complex 20-fold decrease). In summary, we have shown that in contrast to erythropoiesis, megakaryopoiesis and granulopoiesis are associated with specific de novo methylation that defines their respective lineages. Figure 1 Venn diagrams, annotated with total DNA methylation peak counts for a cell type, depicting the intersections between the peaks of DNA methylation profiles in megakaryopoiesis and granulopoiesis, compared to erythropoiesis. Figure 1. Venn diagrams, annotated with total DNA methylation peak counts for a cell type, depicting the intersections between the peaks of DNA methylation profiles in megakaryopoiesis and granulopoiesis, compared to erythropoiesis. Disclosures No relevant conflicts of interest to declare.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hanyu Zhang ◽  
Ruoyi Cai ◽  
James Dai ◽  
Wei Sun

AbstractWe introduce a new computational method named EMeth to estimate cell type proportions using DNA methylation data. EMeth is a reference-based method that requires cell type-specific DNA methylation data from relevant cell types. EMeth improves on the existing reference-based methods by detecting the CpGs whose DNA methylation are inconsistent with the deconvolution model and reducing their contributions to cell type decomposition. Another novel feature of EMeth is that it allows a cell type with known proportions but unknown reference and estimates its methylation. This is motivated by the case of studying methylation in tumor cells while bulk tumor samples include tumor cells as well as other cell types such as infiltrating immune cells, and tumor cell proportion can be estimated by copy number data. We demonstrate that EMeth delivers more accurate estimates of cell type proportions than several other methods using simulated data and in silico mixtures. Applications in cancer studies show that the proportions of T regulatory cells estimated by DNA methylation have expected associations with mutation load and survival time, while the estimates from gene expression miss such associations.


1994 ◽  
Vol 14 (11) ◽  
pp. 7059-7067
Author(s):  
V P Miao ◽  
M J Singer ◽  
M R Rountree ◽  
E U Selker

Transformation of eukaryotic cells can be used to test potential signals for DNA methylation. This approach is not always reliable, however, because of chromosomal position effects and because integration of multiple and/or rearranged copies of transforming DNA can influence DNA methylation. We developed a robust system to evaluate the potential of DNA fragments to function as signals for de novo methylation in Neurospora crassa. The requirements of the system were (i) a location in the N. crassa genome that becomes methylated only in the presence of a bona fide methylation signal and (ii) an efficient gene replacement protocol. We report here that the am locus fulfills these requirements, and we demonstrate its utility with the identification of a 2.7-kb fragment from the psi 63 locus as a new portable signal for de novo methylation.


2017 ◽  
Author(s):  
Meng Amy Li ◽  
Paulo P Amaral ◽  
Priscilla Cheung ◽  
Jan H Bergmann ◽  
Masaki Kinoshita ◽  
...  

1998 ◽  
Vol 18 (9) ◽  
pp. 5166-5177 ◽  
Author(s):  
Judy A. Mikovits ◽  
Howard A. Young ◽  
Paula Vertino ◽  
Jean-Pierre J. Issa ◽  
Paula M. Pitha ◽  
...  

ABSTRACT The immune response to pathogens is regulated by a delicate balance of cytokines. The dysregulation of cytokine gene expression, including interleukin-12, tumor necrosis factor alpha, and gamma interferon (IFN-γ), following human retrovirus infection is well documented. One process by which such gene expression may be modulated is altered DNA methylation. In subsets of T-helper cells, the expression of IFN-γ, a cytokine important to the immune response to viral infection, is regulated in part by DNA methylation such that mRNA expression inversely correlates with the methylation status of the promoter. Of the many possible genes whose methylation status could be affected by viral infection, we examined the IFN-γ gene as a candidate. We show here that acute infection of cells with human immunodeficiency virus type 1 (HIV-1) results in (i) increased DNA methyltransferase expression and activity, (ii) an overall increase in methylation of DNA in infected cells, and (iii) the de novo methylation of a CpG dinucleotide in the IFN-γ gene promoter, resulting in the subsequent downregulation of expression of this cytokine. The introduction of an antisense methyltransferase construct into lymphoid cells resulted in markedly decreased methyltransferase expression, hypomethylation throughout the IFN-γ gene, and increased IFN-γ production, demonstrating a direct link between methyltransferase and IFN-γ gene expression. The ability of increased DNA methyltransferase activity to downregulate the expression of genes like the IFN-γ gene may be one of the mechanisms for dysfunction of T cells in HIV-1-infected individuals.


Author(s):  
Xiangyu Luo ◽  
Joel Schwartz ◽  
Andrea Baccarelli ◽  
Zhonghua Liu

Abstract Epigenome-wide mediation analysis aims to identify DNA methylation CpG sites that mediate the causal effects of genetic/environmental exposures on health outcomes. However, DNA methylations in the peripheral blood tissues are usually measured at the bulk level based on a heterogeneous population of white blood cells. Using the bulk level DNA methylation data in mediation analysis might cause confounding bias and reduce study power. Therefore, it is crucial to get fine-grained results by detecting mediation CpG sites in a cell-type-specific way. However, there is a lack of methods and software to achieve this goal. We propose a novel method (Mediation In a Cell-type-Specific fashion, MICS) to identify cell-type-specific mediation effects in genome-wide epigenetic studies using only the bulk-level DNA methylation data. MICS follows the standard mediation analysis paradigm and consists of three key steps. In step1, we assess the exposure-mediator association for each cell type; in step 2, we assess the mediator-outcome association for each cell type; in step 3, we combine the cell-type-specific exposure-mediator and mediator-outcome associations using a multiple testing procedure named MultiMed [Sampson JN, Boca SM, Moore SC, et al. FWER and FDR control when testing multiple mediators. Bioinformatics 2018;34:2418–24] to identify significant CpGs with cell-type-specific mediation effects. We conduct simulation studies to demonstrate that our method has correct FDR control. We also apply the MICS procedure to the Normative Aging Study and identify nine DNA methylation CpG sites in the lymphocytes that might mediate the effect of cigarette smoking on the lung function.


2012 ◽  
Vol 24 (1) ◽  
pp. 154
Author(s):  
A. T. Grazul-Bilska ◽  
M. L. Johnson ◽  
P. P. Borowicz ◽  
D. A. Redmer ◽  
L. P. Reynolds

Compromised pregnancies can be caused by genetic, epigenetic, environmental and/or other factors. Assisted reproductive technology (ART) may have profound effects on placental and fetal development, leading eventually to compromised pregnancy. DNA methylation, regulated by DNA methyltransferases (Dnmt) and other factors, plays an important role during embryonic, including placental, development. Altered DNA methylation in the trophoblast and, subsequently, the placenta has been reported for compromised pregnancies and may contribute to embryonic/fetal loss. Little is known, however, about DNA methylation processes in placental tissues during early stages of normal or compromised pregnancies in any species. Thus, we hypothesised that ART would affect the expression of 5 methylcytosine (5mC; a marker of global methylation) and mRNA for Dnmt1, 3a and 3b in utero-placental tissues during early pregnancy in sheep. Pregnancies (n = 7 per group) were achieved through natural breeding (NAT, control), or transfer of embryos generated through natural breeding (NAT-ET), in vitro fertilization (IVF) or in vitro activation (IVA; parthenogenetic clones). On Day 22 of pregnancy, caruncle (CAR; maternal placenta) and fetal membranes (FM; fetal placenta) were snap-frozen separately for RNA extraction followed by quantitative real-time PCR. In addition, cross sections of gravid uterus were fixed and then used for immunohistochemical detection and image analysis of 5 mC in FM. In FM, expression of mRNA for Dnmt3a was ∼2-fold greater (P < 0.01) in IVA compared with the other groups and was similar in NAT, NAT-ET and IVF groups. Expression of 5 mC was ∼2- to 3-fold greater (P < 0.02) in IVF and IVA than in NAT. In CAR, mRNA expression for Dnmt1 was ∼1.5-fold greater (P < 0.04) in IVA compared with the other groups, but Dnmt3a expression was less (P < 0.04) in NAT-ET and IVA than NAT. Expression of mRNA for Dnmt1 in FM and 3b in FM and CAR was similar in all groups. In IVA and/or IVF pregnancy, increased expression of Dnmt3a mRNA and/or 5 mC in FM may indicate de novo methylation in the fetal placenta. Furthermore, in pregnancies created through ART, decreased expression of Dnmt3a in CAR may indicate reduced de novo methylation in maternal placenta. Thus, in sheep, ART may have specific effects on growth and function of utero-placental and fetal tissues through regulation of DNA methylation and likely other mechanisms. These data provide a foundation for determining the basis for altered DNA methylation of specific genes in placental and embryonic tissues in compromised pregnancies. In addition, these data will help us to better understand placental regulatory mechanisms in compromised pregnancies and to identify strategies for rescuing such pregnancies. Supported by Hatch Project ND01712; USDA grant 2007-01215 to LPR and ATGB, NIH grant HL64141 to LPR and DAR and NSF-MRI-ARRA grant to ATGB.


Nature Plants ◽  
2020 ◽  
Vol 6 (6) ◽  
pp. 661-674 ◽  
Author(s):  
Jingwen Li ◽  
Dong-Lei Yang ◽  
Huan Huang ◽  
Guiping Zhang ◽  
Li He ◽  
...  

2020 ◽  
Vol 45 (12) ◽  
pp. 2120-2130 ◽  
Author(s):  
Gonca Bayraktar ◽  
PingAn Yuanxiang ◽  
Alessandro D. Confettura ◽  
Guilherme M. Gomes ◽  
Syed A. Raza ◽  
...  

Abstract DNA methylation is a crucial epigenetic mark for activity-dependent gene expression in neurons. Very little is known about how synaptic signals impact promoter methylation in neuronal nuclei. In this study we show that protein levels of the principal de novo DNA-methyltransferase in neurons, DNMT3A1, are tightly controlled by activation of N-methyl-D-aspartate receptors (NMDAR) containing the GluN2A subunit. Interestingly, synaptic NMDARs drive degradation of the methyltransferase in a neddylation-dependent manner. Inhibition of neddylation, the conjugation of the small ubiquitin-like protein NEDD8 to lysine residues, interrupts degradation of DNMT3A1. This results in deficits in promoter methylation of activity-dependent genes, as well as synaptic plasticity and memory formation. In turn, the underlying molecular pathway is triggered by the induction of synaptic plasticity and in response to object location learning. Collectively, the data show that plasticity-relevant signals from GluN2A-containing NMDARs control activity-dependent DNA-methylation involved in memory formation.


2003 ◽  
Vol 23 (16) ◽  
pp. 5594-5605 ◽  
Author(s):  
Taiping Chen ◽  
Yoshihide Ueda ◽  
Jonathan E. Dodge ◽  
Zhenjuan Wang ◽  
En Li

ABSTRACT We have previously shown that the DNA methyltransferases Dnmt3a and Dnmt3b carry out de novo methylation of the mouse genome during early postimplantation development and of maternally imprinted genes in the oocyte. In the present study, we demonstrate that Dnmt3a and Dnmt3b are also essential for the stable inheritance, or “maintenance,” of DNA methylation patterns. Inactivation of both Dnmt3a and Dnmt3b in embryonic stem (ES) cells results in progressive loss of methylation in various repeats and single-copy genes. Interestingly, introduction of the Dnmt3a, Dnmt3a2, and Dnmt3b1 isoforms back into highly demethylated mutant ES cells restores genomic methylation patterns; these isoforms appear to have both common and distinct DNA targets, but they all fail to restore the maternal methylation imprints. In contrast, overexpression of Dnmt1 and Dnmt3b3 failed to restore DNA methylation patterns due to their inability to catalyze de novo methylation in vivo. We also show that hypermethylation of genomic DNA by Dnmt3a and Dnmt3b is necessary for ES cells to form teratomas in nude mice. These results indicate that genomic methylation patterns are determined partly through differential expression of different Dnmt3a and Dnmt3b isoforms.


Genetics ◽  
1990 ◽  
Vol 124 (2) ◽  
pp. 429-437 ◽  
Author(s):  
S P Otto ◽  
V Walbot

Abstract We present a model for the kinetics of methylation and demethylation of eukaryotic DNA; the model incorporates values for de novo methylation and the error rate of maintenance methylation. From the equations, an equilibrium is reached such that the proportion of sites which are newly methylated equals the proportion of sites which become demethylated in a cell generation. This equilibrium is empirically determined as the level of maintenance methylation. We then chose reasonable values for the parameters using maize and mice as model species. In general, if the genome is either hypermethylated or hypomethylated it will approach the equilibrium level of maintenance methylation asymptotically over time; events occurring just once per life cycle to suppress methylation can maintain a relatively hypomethylated state. Although the equations developed are used here as framework for evaluating events in the whole genome, they can also be used to evaluate the rates of methylation and demethylation in specific sites over time.


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