Literature DB >> 24947998

DNA methylation is developmentally regulated for genes essential for cardiogenesis.

Alyssa A Chamberlain1, Mingyan Lin1, Rolanda L Lister2, Alex A Maslov1, Yidong Wang1, Masako Suzuki1, Bingruo Wu1, John M Greally3, Deyou Zheng4, Bin Zhou5.   

Abstract

BACKGROUND: DNA methylation is a major epigenetic mechanism altering gene expression in development and disease. However, its role in the regulation of gene expression during heart development is incompletely understood. The aim of this study is to reveal DNA methylation in mouse embryonic hearts and its role in regulating gene expression during heart development. METHODS AND
RESULTS: We performed the genome-wide DNA methylation profiling of mouse embryonic hearts using methyl-sensitive, tiny fragment enrichment/massively parallel sequencing to determine methylation levels at ACGT sites. The results showed that while global methylation of 1.64 million ACGT sites in developing hearts remains stable between embryonic day (E) 11.5 and E14.5, a small fraction (2901) of them exhibit differential methylation. Gene Ontology analysis revealed that these sites are enriched at genes involved in heart development. Quantitative real-time PCR analysis of 350 genes with differential DNA methylation showed that the expression of 181 genes is developmentally regulated, and 79 genes have correlative changes between methylation and expression, including hyaluronan synthase 2 (Has2). Required for heart valve formation, Has2 expression in the developing heart valves is downregulated at E14.5, accompanied with increased DNA methylation in its enhancer. Genetic knockout further showed that the downregulation of Has2 expression is dependent on DNA methyltransferase 3b, which is co-expressed with Has2 in the forming heart valve region, indicating that the DNA methylation change may contribute to the Has2 enhancer's regulating function.
CONCLUSIONS: DNA methylation is developmentally regulated for genes essential to heart development, and abnormal DNA methylation may contribute to congenital heart disease.
© 2014 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

Entities:  

Keywords:  DNA methylation; DNA methyltransferase 3b; gene expression; heart development; hyaluronan synthase 2

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Substances:

Year:  2014        PMID: 24947998      PMCID: PMC4309105          DOI: 10.1161/JAHA.114.000976

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Introduction

The heart is the first organ to develop during embryogenesis. In the developing mouse heart, between embryonic day (E) 11.5 and E14.5, cardiac cells undergo differentiation, migration, and proliferation driving cardiac tissue morphogenic events including chamber septation, heart valve formation, myocardial compaction, and coronary vessel formation, all essential for proper heart development.[1-4] These processes are directed by cardiac transcriptional programs and endocardial‐myocardial molecular signalings.[5-8] Both genetic and epigenetic mechanisms have been shown to control the expression of cardiac genes in a spatiotemporal manner during heart development.[9-13] Epigenetic modifications, including DNA methylation and histone modification, regulate gene expression by changing the local chromatin structure, thus altering the interaction of chromatin and DNA‐binding proteins, such as the binding of transcription activators and repressors to gene promoters and enhancers.[14-16] Different from genetic variation, epigenetic modifications regulate gene expression without altering the nucleotide sequence. In the case of DNA methylation, a methyl group is added to the carbon 5 of cytosine located at a CpG dinucleotide. It has been shown that DNA methylation is essential for gene regulation during development, especially that of tissue‐specific genes, and help to maintain cell and tissue identity.[17-19] Notably, with the exception of imprinted genes, the mammalian genome is stripped of its epigenetic modifications in early embryogenesis and the epigenome is then re‐established throughout embryonic development.[20-22] Globally, the patterns of DNA methylation acquired during embryogenesis remain stable throughout development and adulthood.[19] However, changes in DNA methylation at individual loci do occur and can alter expression of genes with important biological functions in development and disease.[23-24] DNA methylation change also occurs in response to developmental perturbations, such as hypoxia. Altered levels of 5‐methylcytosine, either genome wide or at specific gene loci, have been related to increased disease susceptibility, and dysregulation of DNA methylation has been linked to cardiovascular disease, type II diabetes, and cancer.[24-26] Most studies on DNA methylation have focused on gametogenesis, development, disease, and stem cell function by demonstrating how it regulates gene expression and cell differentiation.[23,27-30] Few studies, however, have been devoted to understand the roles of DNA methylation in heart development. Determining the landscape of DNA methylation in this process is an essential step for understanding how DNA methylation regulates the cardiac genes essential for heart development. Towards this end, we have applied a genome‐wide approach in this study to profile developmental changes in DNA methylation in mouse embryonic hearts between E11.5 and E14.5. The morphogenic events occurring during this developmental window are less well studied than early morphogenic events such as the differentiation of cardiac cells. The results show that while the DNA methylome is stable during development, differential methylation occurs at a small subset of genes highly associated with cardiac tissue differentiation and heart development and reveal a regulatory relationship between differential DNA methylation and cardiac essential gene expression. Thus, these results provide new information on the regulation of cardiac gene expression and heart development by DNA methylation.

Methods

Animals (Mice)

ICR wild‐type mice were bred in‐house for timed pregnancies. Noontime on the day of first observing vaginal plugs was designated as embryonic day (E) 0.5. For Dnmt3b knockout studies, endocardial specific Cre mice (Nfatc1)[9] were crossed with floxed Dnmt3b (DNA methyltransferase 3b) mice (obtained from The Jackson Laboratory) to delete Dnmt3b in heart valves. Conditional knockout (CKO) and control embryos were identified via PCR genotyping. All mouse experiments were performed according to the protocol approved by the Institutional Animal Care and Use Committee of Albert Einstein College of Medicine.

Methyl Sensitive Tiny Fragment Enrichment/Massively Parallel Sequencing (MSFE/MPS)

Embryonic hearts from E11.5 or E14.5 were isolated from pregnant mice and non‐cardiac tissues were removed. Genomic DNA was extracted from 4 groups of pooled hearts as described previously.[31] A total of 5 μg of extracted DNA from each group was used for a modified HELP‐tagging assay.[32] We modified the original assay by replacing HpaII with HpyCH4IV, the restriction enzyme recognizing 5′‐ACGT‐3′ sites and sensitive to methylation at the CG. After HpyCH4IV digestion, the sequencing libraries were generated using the Ligation Mediated PCR Assay (LMPA).[33] The generated libraries were submitted to the Epigenomics Shared Facility at the Albert Einstein College of Medicine for massively parallel sequencing. Sequencing was performed on individual libraries prepared from 2 biological replicates for each group. The quality of the sequencing results was determined by the parameters of length and peak value of sequence reads. The raw and processed data have been submitted to GEO (accession number: GSE55141).

Luminometric Methylation Assay to Validate the Global DNA Methylation

Global DNA methylation for each biological replicate, at both E11.5 and E14.5, was confirmed using the Luminometric Methylation Assay (LUMA) as described previously.[34-35] Genomic DNA was digested for 4 hours with HpyCH4IV and EcoRI, purified and pyrosequenced at the Einstein Genomics Core.

MassArray

Loci with differential methylation, ranging from 0% to 100% determined by the massively parallel sequencing, were randomly selected and validated using Sequenom's MassArray.[36] Primers were designed using MethPrimer and T7 tags were added as per the Sequenom MassArray protocol (Table 1). Genomic DNA (0.6 μg) from 3 replicates (for technical validation) and 2 replicates (for experimental validation) was bisulfite converted using the Zymo Research EZ DNA Methylation Kit prior to amplification using the MassArray Primers. Amplified bisulfite‐converted genomic DNA was then subjected to MassArray on a Sequenom machine.
Table 1.

Loci and Primers (With T7 Tags, Lower Cases) for Initial Technical Validation by MassArray

ACGT LocationForward Primer With T7 Balance (Top) Reverse Primer With T7 Tag (Bottom)
Chr4 145913471aggaagagagAGTTTTTATGTTTTTTGTAAGGTTATTTGAcagtaatacgactcactatagggagaaggctCCAAACTCCTAATCCCAATCTAAC
Chr7 147043670aggaagagagTTGGGGGTTTTTAATTAAGATAGTTTcagtaatacgactcactatagggagaaggctTTCCCTCTAATATATCCCATTTTACC
Chr12 62103733aggaagagagAGTATTAGGGTTAAGTATTGAATAAATTTAcagtaatacgactcactatagggagaaggctAATCAAAATAAAAAATCAAAAAAAA
Chr11 4347732aggaagagagTTTAGGTATATATTATTATATTTGATTTTTcagtaatacgactcactatagggagaaggctAATTACCACAAAACCTAACAC
Chr2 38354047aggaagagagAGAGTGGTATTTGTGTTAGAGAGGAcagtaatacgactcactatagggagaaggctTTCCAAAAAAAACCAAAAAAAA
Chr6 64724205aggaagagagTGTTTTTGTAATTTAGATAAGATTATTTTAcagtaatacgactcactatagggagaaggctAATCACATATCACTAACCAAACAATATC
Chr2 165155478aggaagagagGGGTGATAGGAAGTTGTAGAGATTAGAcagtaatacgactcactatagggagaaggctAAAAAAACACTACCCAAACTTAAATAACA
Chr11 3036940aggaagagagGGGTATTTGTTTAAGATATTTTTGATTTATcagtaatacgactcactatagggagaaggctACAATAACCAAATAAAAAACACACCA
Chr12 101338922aggaagagagTGGTGTTTTAGTTGTTAAAATGTTATAGGcagtaatacgactcactatagggagaaggctCAAAAATATTCCCCAAATATCAAAA
Chr18 55862932aggaagagagTAGAAAAATAGGGAGAATGTGATATTcagtaatacgactcactatagggagaaggctATATCTAACTTCCCTACACCCACTAAAA
Chr1 25839243aggaagagagTTTTAGGATTGAATAAAATTTTAAGAcagtaatacgactcactatagggagaaggctATTTAATTTACTCATTCTCTCTATATAC

Individual sites representing 0%, 25%, 50%, 75% or 100% methylation, that were consistent between the 2 assayed samples, were chosen for validation by Sequenom's MassArray to generate a standard by which to make calls on methylation levels. Primers were designed using MethPrimer and T7 tags were added as per the Sequenom guide.

Loci and Primers (With T7 Tags, Lower Cases) for Initial Technical Validation by MassArray Individual sites representing 0%, 25%, 50%, 75% or 100% methylation, that were consistent between the 2 assayed samples, were chosen for validation by Sequenom's MassArray to generate a standard by which to make calls on methylation levels. Primers were designed using MethPrimer and T7 tags were added as per the Sequenom guide.

Bioinformatic Analysis to Profile Genome‐Wide DNA Methylation

The sequencing reads were aligned to the mouse genome (mm9) and the number of mapped reads with their 5′ ends starting at each ACGT site was recorded using the automated data analysis pipeline created by the Epigenomics Center and the Computational and Statistical Epigenomics Group at Albert Einstein College of Medicine.[32,37] The read counts at individual ACGT sites from E11.5 and E14.5 were compared and sites with significantly different counts were determined by EdgeR, a Bioconductor package designed for analysis of count based genome‐wide sequencing data.[38] The resultant sites were associated with genes if they were located to promoters, gene bodies, or within 50 kb of genes.

Gene Expression Analysis

Custom TaqMan Array 96‐Well Fast Plates (Applied Biosystems) were designed for candidate genes prioritized based on degree of differential methylation, function, and presence of multiple‐associated differentially methylated ACGT sites. RNA was extracted from pooled embryonic hearts from E11.5 or E14.5 (n=3 for each stage) and atrioventricular junctions isolated from 3 wild‐type or 3 CKO embryos at E11.5 and E14.5 using Trizol Reagent (Invitrogen) and reverse transcribed using the SuperScript II reverse transcription kit (Invitrogen). ΔCt values were calculated, normalizing to an endogenous control, and fold change was calculated using the 2−ΔΔCt method.[39]

RNA In Situ Hybridization

RNA in situ hybridization for Has2 expression in E11.5 or E14.5 hearts was carried out as described previously.[5]

Immunohistochemistry

Immunohistochemistry (IHC) was carried out to determine expression of Dnmt3b in the developing heart using mouse monoclonal Dnmt3b antibody (Abcam 52A1018) (1:250), according to the Vector Labs mouse‐on‐mouse (M.O.M.) basic kit.

Statistical Analysis

Pearson correlation was used to evaluate the overall similarity of MSFE/MPS tag counts between E11.5 and E14.5 samples. A linear regression was used to fit the relationship between tag counts and DNA methylation levels at 14 selected ACGT sites. Differentially methylated (DM) sites were identified by the program EdgeR,[38] with <5% FDR. A two‐sided t test was used to evaluate the difference of tag counts at ACGT sites located to different genomic contents, while hypergeometric test was used to evaluate the enrichment of DM sites in promoters and gene bodies. The statistical analysis of differential gene expression was performed using Microsoft Excel and the data were presented as mean±standard error (SE). Student t test was used for comparison between groups and P values <0.05 were considered as significant, Bonferonni's correction was applied to account for multiple testing in gene expression analysis. For the expression analysis of 350 genes, Mann–Whitney test was also performed (data not shown). While the significance observed for the top 15 up‐ and down‐regulated genes in Figure 5B remained, a few other differentially expressed genes included in Figure 5A would lose statistical support.
Figure 5.

Expression changes for selected genes with differentially methylated sites. A, Gene expression analysis (n=3) of 350 differentially methylated genes between E11.5 and E14.5 showing that 181 genes are differentially expressed and 79 of those genes show consistent changes in DNA methylation. B, The top 15 upregulated genes (red) and downregulated genes (green) in E14.5. The solid and open triangles mark differentially methylated sites in regulatory regions (promoter proximal or distal) and gene bodies, respectively. The up and down directions of triangles indicate increased and decreased methylation, respectively.

Results

Global DNA Methylation is Stable in the Developing Heart

To study the importance of DNA methylation in heart development, we carried out a genome‐wide cytosine methylation analysis of E11.5 and E14.5 mouse embryonic hearts using MSFE/MPS with HpyCH4IV, a methylation‐sensitive restriction enzyme recognizing ACGT. A total of 75 278 236 and 28 496 681 sequencing reads were obtained from the 2 E11.5 replicates that were mapped to 1 522 872 and 1 447 993 ACGT sites, respectively, while 89 562 687 and 65 198 805 reads were generated from the 2 E14.5 replicates that were mapped to 1 442 766 and 1 490 463 sites, respectively. At both stages, the reads from the 2 replicates covered >83% of the total 1 756 340 ACGT sites in the mouse genome. The Pearson's correlation coefficients were 0.894 and 0.896 between the 2 replicates for E11.5 and E14.5, respectively (data not shown); indicating that the quality of the data was high. The majority of ACGT sites had highly similar and correlated tag counts between E11.5 and E14.5 (Figure 1A), suggesting at the global level no significant methylation changes occurred between the 2 developmental stages. This finding of genome‐wide stable DNA methylation in the developing hearts was supported by the LUMA data (Figure 1B).
Figure 1.

Limited DNA methylation changes between E11.5 and E14.5 hearts. A, The tag counts for all ACGT sites in E11.5 (x‐axis) and E14.5 (y‐axis) are highly correlated. The depth of the color represents the density of points in a plotting area (n=2). B, Confirmation of stable global methylation by Luminometric Methylation Assay (LUMA) (n=2). Error bars represent standard error.

Limited DNA methylation changes between E11.5 and E14.5 hearts. A, The tag counts for all ACGT sites in E11.5 (x‐axis) and E14.5 (y‐axis) are highly correlated. The depth of the color represents the density of points in a plotting area (n=2). B, Confirmation of stable global methylation by Luminometric Methylation Assay (LUMA) (n=2). Error bars represent standard error.

Differential DNA Methylation Occurs Locally in the Developing Heart

We then catalogued the ACGT sites into genic sites (−50 kb of transcription start sites [TSS] to +0.5 kb of transcription end sites [TES] and intergenic sites) (Figure 2A), with the former further separated into 3 types: promoter proximal sites (−5 kb to +0.5 kb of TSS), gene body sites (+0.5 kb of TSS to TES), and promoter distal or enhancer sites (Figure 2B, top panel), and also determined the distribution of ACGT tag counts across the genome by intersecting the genome‐wide ACGT methylation profiles with several genomic features, including CpG islands, CTCF‐binding sites, RefSeq genes, repetitive elements, and regulatory elements (Figure 2B, bottom panel). The gene annotation, CpG islands, and repeats were downloaded from the UCSC browser. Additionally, lists of regulatory elements for embryonic hearts were obtained from previous studies, including 3596 P300 binding sites identified for E11.5 hearts, 69 073 P300‐marked enhancers, 14 874 CTCF sites, and 45 981 regions with the H3K27ac modification (a histone mark for active enhancer) for E14.5.[40-42]
Figure 2.

Distribution of DNA methylation across the mouse genome and various types of genomic elements in the developing heart. A, Cartoon depicting the genic regions (enhancer, promoter and genebody). B, Violin plot (a combination of a box plot and a kernel density plot) showing the distributions of tag counts for all ACGT (top) or differential methylated (bottom) sites in different genomic regions. As number of tag counts is inversely correlated to level of CG methylation, these plots indicate that gene promoters and regulatory regions exhibit significantly lower levels of DNA methylation than genomic background, and repetitive sequences are highly methylated. Plots in orange and yellow are for data from E11.5 and E14.5, respectively. TES indicates transcription end sites; TSS, transcription start sites.

Distribution of DNA methylation across the mouse genome and various types of genomic elements in the developing heart. A, Cartoon depicting the genic regions (enhancer, promoter and genebody). B, Violin plot (a combination of a box plot and a kernel density plot) showing the distributions of tag counts for all ACGT (top) or differential methylated (bottom) sites in different genomic regions. As number of tag counts is inversely correlated to level of CG methylation, these plots indicate that gene promoters and regulatory regions exhibit significantly lower levels of DNA methylation than genomic background, and repetitive sequences are highly methylated. Plots in orange and yellow are for data from E11.5 and E14.5, respectively. TES indicates transcription end sites; TSS, transcription start sites. The results showed that gene promoters and regulatory regions, represented by either CpG islands or enhancers (defined by P300 occupancy in E11.5 or H3K27ac enrichment in E14.5) had significantly lower levels of DNA methylation than genomic background, as ACGT sites within these regions had increased numbers of tag counts (P<2.2e‐16, t test). Similarly, CTCF‐binding sites generally have low levels of methylation. This is consistent with previous reports that CTCF is associated with hypomethylated regions.[43] In contrast, repetitive regions showed significantly higher levels of DNA methylation, as ACGT sites in these regions had decreased numbers of tag counts (P<2.2e‐16, t test). Unexpectedly, the E14.5 cardiac enhancers exhibited higher DNA methylation than the elements marked by either P300 or H3K27ac at E14.5 (Figure 2B). This is probably due to the fact that those enhancers were identified based largely on H3K4me1 modifications, which is enriched in both active and poised enhancers.[44-45] Next, we chose up to 14 ACGT sites with a range of different tag counts, representing 0%, 25%, 50%, 75%, or 100% methylation by massively parallel sequencing, and determined their levels of methylation by MassArray. The results indicated that tag count was inversely correlated with the percentage of cytosine methylation (Figure 3A), thereby confirming the precision of the MSFE/MPS in quantifying methylation level, ie, tag counts measured accurately both the global and regional DNA methylation. We then set out to investigate how much methylation changed in the developing hearts between E11.5 and E14.5. After normalization by sequencing depths, ACGT sites with at least 1 sequencing tag in any of the 4 samples were evaluated for differential methylation using 2 complementary approaches. We used EdgeR, which modeled the tag counts by a negative binomial distribution, to determine ACGT sites that showed differential methylation. The result indicated that the majority of the ACGT sites were not differentially methylated in the developing hearts between the 2 stages, as <1% of sites were found to have different tags (nominal P value <0.05) (Figure 3B). Among the small fraction (2901) of the ≈1.64 million analyzed ACGT sites that were differentially methylated, 1946 (67.1%) and 955 (32.9%) sites exhibited increased and decreased methylation in the late stage hearts, respectively (FDR<0.05) (Figure 3C).[38] Of note, for the majority of these sites, the degree of difference was <50%, with no sites switching from a fully methylated to an unmethylated state.
Figure 3.

Analysis of the level of DNA methylation and differential methylation in the developing mouse heart. A, Methyl sensitive tiny fragment enrichment/massively parallel sequencing (MSFE/MPS) accurately detects levels of methylation as confirmed by Sequenom's MassArray of analyzed sites representing 0%, 25%, 50%, 75%, and 100% methylation determined by MSFE/MPS. B, Distribution of all ACGT sites with different numbers of tag counts from MSFE/MPS analysis. C, Violin plots showing the difference in tag counts for the 2901 ACGT sites that were significantly differentially methylated between E11.5 and E14.5. D, The distribution of all and differentially methylated (DM) ACGT sites in relation to gene annotation.

Analysis of the level of DNA methylation and differential methylation in the developing mouse heart. A, Methyl sensitive tiny fragment enrichment/massively parallel sequencing (MSFE/MPS) accurately detects levels of methylation as confirmed by Sequenom's MassArray of analyzed sites representing 0%, 25%, 50%, 75%, and 100% methylation determined by MSFE/MPS. B, Distribution of all ACGT sites with different numbers of tag counts from MSFE/MPS analysis. C, Violin plots showing the difference in tag counts for the 2901 ACGT sites that were significantly differentially methylated between E11.5 and E14.5. D, The distribution of all and differentially methylated (DM) ACGT sites in relation to gene annotation. We also compared the percentage of differentially methylated ACGT sites at various genic and intergenic regions with the percentage of the total analyzed ACGT sites located within the same defined regions. We found that the differentially methylated sites were significantly enriched in gene bodies (P<2.2e‐16, hypergeometric test), as 51.6% of the differentially methylated sites versus 42.2% of all assayed sites were located to gene bodies (Figure 3D). On the contrary, differentially methylated ACGT sites were under‐represented in promoter (4.6%) and enhancer sites (13.9%), while 6.4% and 16.7% of all ACGT sites were in promoter‐proximal and enhancer regions, respectively. In total, 2032 (70%) of the 2901 sites were associated with genes, with 65.1% of them showing increased methylation at E14.5.

Differential DNA Methylation in the Developing Heart Links to Heart Development

To investigate the functional importance of the small set of genes exhibiting differential methylation, we used the software GREAT to characterize the 2901 differentially methylated sites for their potential regulatory roles. Of the only 7 significantly associated gene ontology (GO) terms for biological processes returned by GREAT, 4 of them were related to heart development and cardiac tissue growth (Figure 4), indicating a significant enrichment of cardiac essential genes that have differential DNA methylation during heart development. These genes include Erbb4, Gata6, Foxp1, Fgf2, Fgf9, Has2, Invs, Mef2c, Robo2, and Wnt2. For example, Foxp1 is important in cardiomyocyte proliferation,[42,46] while signaling from Gata6 to Wnt2 plays an important role in early cardiogenesis and inflow tract development,[47-48] Mef2c plays an essential role in heart development as a regulator of cardiac myogenesis within the right ventricle,[49-50] and Has2 plays a role in heart valve development.[6,51] GREAT also reported that the affected genes were highly expressed in the cardiovascular system (P=5.3e‐5) and they were implicated in vascular disease (P=1.4e‐4) based on an analysis of Disease Ontology.[52]
Figure 4.

Gene ontology (GO) terms for the genes with differential DNA methylation during heart development. The software GREAT was used to characterize the 2901 differentially methylated sites for function. Four of the only 7 GO terms returned are involved in heart development and cardiac tissue growth.

Gene ontology (GO) terms for the genes with differential DNA methylation during heart development. The software GREAT was used to characterize the 2901 differentially methylated sites for function. Four of the only 7 GO terms returned are involved in heart development and cardiac tissue growth.

Differential DNA Methylation Corresponds to Changes in Gene Expression in the Developing Heart

To directly test how the observed differential DNA methylation is related to gene expression changes in the developing heart, we picked 350 genes from the 1697 genes linked to the 2901 differentially methylated sites and performed qPCR to determine their expression levels in E11.5 and E14.5 hearts. These genes were chosen because they contained ACGT sites with a ≥50% change in methylation between the 2 stages, their known function (such as roles in embryonic development preferentially heart development), and/or presence of multiple differentially methylated sites. Change in mRNA level was calculated using the 2−ΔΔCt method and genes were ranked based on fold change.[39] Of the 350 genes assayed in the gene expression analysis, 181 (51.7%) genes, including Erbb4, Has2, Invs, Robo2, and Vegfc, were differentially expressed between E11.5 and E14.5 (>1.2‐fold change and P<0.05; adjusted for multiple testing), and among these, expression of 55 genes was upregulated whereas expression of 126 genes was downregulated (Figure 5A, Table 2).
Table 2.

List of Genes With Differential Expression and Methylation

Gene NameACGT Chr LocationRegion% DMFold ChangeFunction
AI661453Chr17 47582589Genebody74%**−2.02Cellular component
AcacaChr11 84088161Genebody73%**−2.01Long chain fatty acid biogenesis
Abi1Chr2 22839713Genebody73%**−2.03Negative regulation of cell growth and transformation, Ras signaling, Cardiovascular and placental development
Aff2ChrX 66755393Genebody70%*−2.02RNA‐binding protein
Atf6Chr1 172773438Genebody79%*−2.00Unfolded protein response during ER stress
Arhgef12Chr9 42820787Genebody74%*−2.02Acts as a guanine nucleotide exchange factor
AnkChr15 27482616Genebody59%**−2.03Osteoblast/osteoclast differentiation, hypoxia responsive/regulated by Hif1α
AnkChr15 27513341Genebody78%**−2.03
AnkChr15 27427229Genebody21%*−2.03
AnkChr15 27430132Genebody52%−2.03
Atrnl1Chr19 58000444Genebody84%**−4.06G‐protein coupled receptor signaling, may regulate energy homeostasis
Atrnl1Chr19 57683177Promoter29%−4.06
Atrnl1Chr19 58054451Genebody35%−4.06
Atxn1Chr13 45770455Genebody67%**−2.02Chromatin binding factor that represses Notch signaling.
BrdtChr5 107807029Genebody75%**−2.00Chromocenter organization, Spermatogenesis
Cacna2d3Chr14 30485237Genebody74%**−2.03Voltage‐gated calcium channel activity, Regulated by promoter methylation, contractility of ventricular myocytes
Cacna2d3Chr14 30303225Genebody22%−2.03
Cd180Chr13 103491174Genebody66%*−2.00Innate immune response, life/death decision of B‐cells
Cdk14Chr5 4822015Genebody76%**−4.07Cell cycle regulation
Cdk14Chr5 5428041Enhancer23%−4.07
Casz1Chr4 148329448Enhancer80%**−2.00Blood vessel development and lumen morphogenesis, differentially methylated in a tissue specific manner
Cdh4Chr2 179440423Genebody75%**−2.01Calcium dependent cell adhesion, may play a role in retinal development, Regulated by methylation
Cdh4Chr2 179292446Genebody22%−2.01
Cdh4Chr2 179316146Genebody21%−2.01
Cdh4Chr2 179385054Genebody19%*−2.01
Clasp1Chr1 120296717Genebody75%−2.03Regulation of microtubule dynamics, mitosis
Chrna9Chr5 66367625Genebody71%**−1.94Ion transport, cochlea hair development
Chrna9Chr5 66348791Enhancer20%**−1.94
Col9a1Chr1 24203890Genebody63%**−2.02Expressed in developing heart, differentially methylated in cancer
Clasp2Chr9 113641090Enhancer69%**−2.02Microtubule stabilization, mitosis
Creb1Chr1 64569233Enhancer81%**−2.02Gene transcription, HIF‐1‐alpha transcription factor network
D6Wsu116eChr6 116164345Genebody76%**−4.05N/A
Csde1Chr3 102840451Genebody59%**−2.00RNA binding and transcriptionally coupled mRNA turnover
Disc1Chr8 127751886Genebody78%**−2.02Multiple roles in embryonic and adult neurogenesis. Associated with schizophrenia
Dach2ChrX 110423200Genebody65%**−2.04Eye and limb development and sex determination
DgkbChr12 38744479Genebody73%**−1.88Brain development
Dnajc11Chr4 151311759Genebody78%**−2.03Heat shock binding protein
Dlx5Chr6 6859827Enhancer77%*−2.03Transcriptional activator during bone development, Promotes cell proliferation, osteoblast differentiation. Cell type specific expression regulated by methylation
Dnajc2Chr5 21291210Promoter69%**2.00DNA replication
Dlg2Chr7 99358525Genebody60%**−2.00Regulation of synaptic stability, Chronic pain perception
Eif2ak4Chr2 118271831Genebody86%*−2.01Hypoxia response
Emilin2Chr17 71603514Genebody78%**−4.05Extracellular matrix component, regulates methylation in breast cancer
Emilin2Chr17 71606328Genebody74%**−4.05
Fam73aChr3 151956508Genebody81%**−2.01Integral to membrane
Fam111aChr19 12661528Genebody78%**−2.02Simian virus 40 (SV40) host range restriction factor
Fbxw7Chr3 84630582Genebody77**−2.00Mediates ubiquitination and subsequent proteasomal degradation of target proteins including NOTCH1, inactivated by promoter hypermethylation
FanclChr11 26311200Genebody73%*−2.04Mediates monoubiquitination, may play a role in primordial germ cell proliferation
FanclChr11 26368061Genebody96%*−2.04
Fbxw8Chr5 118558780Genebody92%*−2.02Mediates ubiquitination and subsequent proteasomal degradation of target proteins, placental development
Ftsjd2Chr17 29820177Genebody67%**−2.01Methyltransferase that mediates mRNA cap1
Fscn1Chr5 143721993Promoter67%*−2.03Cell migration, motility, adhesion and cellular interactions
Has2Chr15 56549727Enhancer65%*−16.31Heart valve development
Grik4Chr9 42754379Promoter79%*−2.04Glutamate receptor in CNS
InvsChr4 48429137Genebody67%**−4.05Embryonic heart tube left development and right pattern formation
InvsChr4 48288832Promoter24%*−4.05
Il6stChr13 113256622Genebody77%*−2.01Signal transduction. Plays a role in embryonic development, vascular endothelial growth
Hipk2Chr6 38796532Genebody61%*−2.00Angiogenesis, marked for degradation by hif1‐a in cancer
Itgb1Chr8 131241575Genebody78%**−2.03Promotes endothelial cell motility and angiogenesis, Hif1 regulated in wound healing
Itsn1Chr16 91786820Genebody79%*−2.02Adaptor protein linking endocytic membrane traffic and actin assembly machinery
Isg20Chr7 86061520Genebody62%**3.97Viral response
Itga1Chr13 115765151Genebody66%**−2.04Integrin and Collagen Binding, rapid methylation leading to initiation of megakaryocyte differentiation
Itga1Chr13 115800600Genebody20%**−2.04
Kcne4Chr1 78770239Enhancer77%**7.87Potassium voltage channel, cardiac function (cardiomyopathy)
Kif26bChr1 180479937Genebody81%**−2.00Embryonic kidney development, plays a role in compact adhesion between mesenchymal cells
Klhl2Chr8 67366115Genebody76%*−2.02Mediate ubiquitination of target proteins, Plays a role in the reorganization of actin cytoskeleton
Ksr1Chr11 79001767Enhancer82%**−2.04Promotes MEK and RAF phosphorylation and activity
Ksr1Chr11 78904857Genebody20%−2.04
Limk1Chr5 135156130Genebody80%*−2.04Regulation of actin filament dynamics, cell motility, cell cycle progression and differentiation
Lmf1Chr17 25771254Genebody82%**−2.04Maturation and transport of lipoprotein lipase through the secretory pathway
Mkrn2Chr6 115567892Genebody62%*2.01Neurogenesis
Ncoa7Chr10 30373619Genebody75%**2.02Co‐activation of several nuclear receptors
Ncam1Chr9 49570879Genebody61%*4.06Neural adhesion, pathological angiogenesis in oxygen induced retinopathy, ventricular wall thickening in hypertension, cardiac protection
Odz3Chr8 49397492Genebody73%**−2.00Signal transduction, neuronal growth and tumorigenesis
Odz3Chr8 49336206Genebody47%**−2.00
Odz3Chr8 49341811Genebody21%−2.00
PamChr1 99716878Enhancer79%**4.07Heart development and hypoxia response
Pde5aChr3 122538715Genebody79**2.02Signal transduction, cardiac muscle contraction and hypertrophy, hypoxia response
Pde11aChr2 75840713Genebody70%*1.98Signal transduction, may play a role in vascular smooth muscle proliferation and contraction, cardiac contractility and immune cell activation
Pcgf5Chr19 36450106Promoter71%*2.02Maintenance of transcriptional repressive state in development, including that of Hox genes
Pfkfb3Chr2 11406131Genebody78%**2.03Induced by Hif1α
Pet112 lChr3 85403998Genebody70%*2.03Glutamyl‐tRNA amidotransferase complex, Functions in mitochondria
Pip5k1bChr19 24602322Genebody72%**4.06Phosphorylation
PnkdChr1 74336698Genebody65%**2.00Hydrolase activity, Plays an aggregative role in the development of cardiac hypertrophy via NF‐kappa‐B signaling
Pou2f1Chr1 167866210Promoter70%**−2.01Regulates gene expression in response to stress and metabolic signals
Ppm1 hChr10 122245574Genebody67%4.05Phosphatase activity, drug response in cancer, associated with systemic lupus erythematosus
Ppm1 hChr10 122144175Genebody19%**4.05
Prdm16Chr4 153999781Genebody68%**2.02Transcriptional regulation, Functions as a repressor of TGF‐beta signaling
Ppwd1Chr13 104995653Genebody67%**2.02Putative peptidylprolyl isomerase, may be involved in pre‐mRNA splicing
PtnChr6 36663240Enhancer75%**4.07Angiogenesis, tumorigenesis, regulation of hematopoietic stem cell self renewal, mammary gland development
Prmt8Chr6 127665685Genebody79%*−2.07Arginine methyltransferase, embryonic and neural development, regulated by auto‐methylation
PrkcaChr11 108120704Genebody86%**2.00Regulation of transcription, cell growth, immune response, negative regulation of cell proliferation, apoptosis, differentiation, cardiac hypertrophy and angiogenesis
Ranbp3Chr17 56833581Genebody78%*2.02Nuclear export, negative regulator of TGF‐beta signaling through SMAD
PtproChr6 137362114Genebody71%**2.00Wnt‐protein binding, Candidate tumor suppressor, aberrantly methylated in cancer
PtpruChr4 131336827Genebody69%**1.84Cell proliferation and migration, maintenance of epithelial integrity, neural development and possible megakaryocytopoiesis
Rbfox3Chr11 118610022Genebody65%*1.97RNA‐binding, associated with neurocytoma and cerebral artery occlusion
RhdChr4 134418089Promoter81%**−8.00Encodes member of Rh blood group proteins
Rbm39Chr2 155977061Genebody75%4.05Transcriptional co‐activator for steroid nuclear receptors, involved in pre‐mRNA splicing
RpiaChr6 70726365Genebody67%**2.02Carbohydrate metabolism
Robo2Chr16 74182881Genebody72%−2.00Heart Morphogenesis, linear hear tube formation, neuronal development
Rpn2Chr2 157147564Genebody55%**2.04Ribosome binding, Dolichyl‐diphosphooligosaccharide‐protein glycotransferase activity
Rsu1Chr2 13110936Genebody79%**2.01Ras signal transduction pathway
Rsu1Chr2 13153759Genebody50%*2.01
Rufy2Chr10 62447503Genebody65%2.03Alzheimer's disease
Sav1Chr12 71078443Genebody76%**2.03Transcription, cell proliferation, cell death, cell migration, cell cycle exit, protein degradation and RNA splicing
Slc24a2Chr4 86672633Genebody58%**2.03Calcium and potassium transport
SlmapChr14 27308224Genebody79%4.07Myoblast fusion
Slco5a1Chr1 12939917Genebody61%−1.97Transporter activity
Sorbs2Chr8 46655637Genebody79%**2.02Cytoskeletal adaptor activity and structural constituent of cytoskeleton
Sorbs2Chr8 46649975Genebody20%2.02
Stxbp6Chr12 46076554Genebody79%**1.96Regulates SNARE complex formation
St8sia5Chr18 77402859Enhancer80%**2.02Synthesis of gangliosides
Srsf9Chr5 115781199Genebody73%2.03Splicing
Tex9Chr9 72307706Genebody67%**2.02
Tbc1d16Chr11 119004863Genebody64%**1.99Rab GTPase activator activity
Tbc1d16Chr11 119017735Genebody76%**1.99
Taf4aChr2 179700219Genebody72%**2.01Basal transcription
Tet2Chr3 133187569Genebody85%**2.01DNA demethylation regulating transcription
Tmem38aChr8 75105110Genebody69%**4.06Potassium channel activity
Tnrc6aChr7 130306203Genebody73%**2.02Gene silencing by RNA and microRNA
Tmem135Chr7 96306156Genebody82%*2.02Peroxisome organization
Tmem135Chr7 96397839Genebody29%2.02
Tubg2Chr11 101015396Promoter19%−2.01Major constituent of microtubules, structural molecule activity
Vmn1r73Chr7 12307910Enhancer63%**2.00
Wnk1Chr6 119946851Genebody86%**−1.98Heart development, regulations of cell signaling, survival and proliferations, electrolyte homeostasis, cytoskeletal reorganization and sodium and chloride ion transport
Zbtb20Chr16 43500263Genebody89%**−2.01Transcription factor involved in hematopoiesis, oncogenesis and immune response
Zbtb20Chr16 43219787Enhancer95%−2.01
Zbtb20Chr16 43343231Genebody98%−2.01
Zbtb20Chr16 43455368Genebody97%−2.01
Wnt6Chr1 74821915Genebody65%−4.35Tissue development
Zdhhc8Chr16 18231749Genebody72%4.00Susceptibility to schizophrenia
Zfp385bChr2 77445243Genebody73%*−2.02Metal ion, nucleic acid, p53, and zinc ion binding, Apoptotic processes
Zfp385bChr2 77629407Genebody21%*−2.02
EnahChr1 183952945Promoter25%−2.01
Pkd2Chr5 104885245Promoter22%1.99Tubular morphogenesis, associated with autosomal dominant polycystic kidney disease
Mylk2Chr2 152734667Promoter20%−1.91Cardiac function and global muscle contraction
Ppp1r1cChr2 79544612Promoter25%−1.93Promotes cell cycle progression and increases cell susceptibility to TNF‐induced apoptosis
Spns2Chr11 72304383Promoter59%**−4.03Migration of myocardial precursors; cardiovascular, immunological and neural development
Elf1Chr14 79879478Promoter31%−4.05Endothelial transcription factor
Ppp1r3cChr19 36813263Promoter44%−2.01Glycogen synthase, Regulated by Hif1α
Gucy1a3Chr3 81943306Genebody23%**−2.02Cardiac function, vascular smooth muscle function
Gucy1a3Chr3 81993497Enhancer23%**−2.02
Ank2Chr3 126729907Enhancer97%−2.01Expression and targeting of SPTBN1 in neonatal cardiomyocytes and regulation of neonatal cardiomyocyte contraction rate
Sfrp2Chr3 83534574Enhancer30%8.05Cell growth and differentiation, Wnt signaling, myogenesis and eye retinal development, methylation of gene is a potential marker for colorectal cancer
Erbb4Chr1 68142043Genebody23%−4.04Heart development, cardiac muscle differentiation and postnatal cardiomyocyte differentiation, CNS development, neural crest cell migration, gene transcription, cell proliferation, differentiation, migration and apoptosis
Erbb4Chr1 68846422Genebody20%−4.04
Erbb4Chr1 68938673Genebody38%−4.04
Erbb4Chr1 68954441Genebody20%−4.04
Erbb4Chr1 69128731Genebody24%−4.04
Mysm1Chr4 94660067Enhancer28%**−2.00Histone modification and transcriptional co‐activation
Foxp1Chr6 98892345Genebody19%−2.04Cardiomyocyte proliferation
Foxp1Chr6 99008217Genebody22%*−2.04
Foxp1Chr6 99018432Genebody34%−2.04
Foxp1Chr6 99163145Genebody20%−2.04
Foxp1Chr6 99197140Genebody23%−2.04
Foxp1Chr6 99357158Genebody22%−2.04
Foxp1Chr6 99391693Enhancer43%*−2.04
Unc5cChr3 141321392Genebody19%−8.07Cell migration in neural development, axon extension and induction of apoptosis
Unc5cChr3 141342275Genebody26%−8.07
Unc5cChr3 141359065Genebody20%−8.07
Sox5Chr6 143990289Genebody20%−4.01Embryonic development, cell fate determination, transcriptional regulation
Sox5Chr6 144141969Genebody19%−4.01
Psd3Chr8 70278799Genebody19%*−2.03Guanine nucleotide exchange factor for ARF6
Psd3Chr8 70338543Genebody96%−2.03
Psd3Chr8 70459139Genebody23%*−2.03
Dock1Chr7 142059905Genebody28%−2.01Cytoskeletal rearrangements necessary for phagocytosis of apoptotic cells and in cell motility Guanine nucleotide exchange factor
Dock1Chr7 142061686Genebody19%−2.01
Dock1Chr7 142073658Genebody30%−2.01
Dock1Chr7 142115224Genebody24%−2.01
Dock1Chr7 142136783Genebody24%−2.01
Dock1Chr7 142190260Genebody53%−2.01
WwoxChr8 117142250Genebody31%−2.03Apoptosis, TGFB1 signaling and TGFB1‐mediated cell death. Inhibits Wnt signaling
WwoxChr8 117354691Genebody26%−2.03
WwoxChr8 117632214Genebody22%−2.03
VegfcChr8 55148115Enhancer21%2.02Angiogenesis and endothelial cell growth
VegfcChr8 55239360Genebody18.5%*2.02
VegfcChr8 55247617Genebody22%2.02
Pard3Chr8 129591554Genebody28%*−2.00Adaptor protein, asymmetrical cell division and cell polarization, plays a role in epithelial tight junctions
Pard3Chr8 129640346Genebody96%**−2.00
Pard3Chr8 129830952Genebody96%−2.00
Pard3Chr8 129845627Genebody21%**−2.00
Pard3Chr8 129875488Genebody22%−2.00
Pard3Chr8 129914177Genebody24%−2.00
Thsd4Chr9 59846658Genebody19%*−2.00Attenuates TGFB signaling
Thsd4Chr9 59968525Genebody22%−2.00
Thsd4Chr9 60041974Genebody19%*−2.00
Thsd4Chr9 60098887Genebody96%*−2.00
RoraChr9 68624882Genebody19%**−2.01Regulated genes involved in lipid metabolism
RoraChr9 68726640Genebody24%**−2.01
RoraChr9 68865723Genebody19%−2.01
UtrnChr10 12126998Genebody20%*2.02Anchors cytoskeleton to plasma membrane
UtrnChr10 12213501Genebody20%2.02
UtrnChr1012395503Genebody19%2.02
Mef2cChr13 83687636Genebody96%−1.99Transcription activator controls cardiac morphogenesis and myogenesis, plays a role in vascular development
Mef2cChr13 83755977Genebody30%**−1.99
Mef2cChr13 83797333Genebody25%−1.99
Odz2Chr11 35940645Genebody35%*−1.98Neural development
Odz2Chr11 36164904Genebody20%*−1.98
Odz2Chr11 36400641Genebody32%**−1.98
Odz2Chr11 36725324Genebody27%**−1.98
PtprkChr10 27825617Genebody20%*−2.01Regulation of cell contact and adhesions, tumor invasion/metastasis, Negative regulator of EGFR signaling
PtprkChr10 28084547Genebody24%−2.01
PtprkChr10 28226602Genebody24%**−2.01
Enox1Chr14 77538059Enhancer97%−2.00Oxidoreductase activity, nucleotide binding
Enox1Chr14 77771534Genebody23%−2.00
Enox1Chr14 77876556Genebody20%*−2.00
Enox1Chr14 77977395Genebody20%**−2.00
Zfpm2Chr15 40787554Genebody29%−2.01Transcription regulator important in heart morphogenesis and coronary vessel development from epicardium
Zfpm2Chr15 40824705Genebody95%**−2.01
Zfpm2Chr15 40848971Genebody19%−2.01
Dach1Chr14 98263585Genebody97%*−1.99Transcription factor important in organogenesis
Dach1Chr14 98304412Genebody26%−1.99
Dach1Chr14 98510700Genebody96%−1.99
Erc2Chr14 28475844Genebody97%−1.99Cytomatrix organization at nerve terminal active zones regulating release of neurotransmitters
Erc2Chr14 28668685Genebody30%−1.99
Erc2Chr14 28822634Genebody95%−1.99
Erc2Chr14 28845440Genebody24%−1.99
Vps13bChr15 35600466Genebody23%**−1.99Protein sorting in post Golgi membrane traffic, may play a role in development and function of the eye, hematological system and the CNS
Vps13bChr15 35777972Genebody19%−1.99
Vps13bChr15 35817931Genebody23%*−1.99
2810403A07RikChr3 88506464Genebody84%−2.01RNA binding
Tle4Chr19 14528880Genebody20%*−2.01Transcriptional co‐repressor of members in Wnt signaling
Tle4Chr19 14621827Genebody24%−2.01
Prkg1Chr19 30823222Genebody19%*−2.02Regulates cardiac function, smooth muscle contraction, platelet activation and adhesion
Prkg1Chr19 31528132Genebody24%−2.02
Prkg1Chr19 31595749Genebody20%−2.02
Hif1aChr12 75032797Genebody25%−2.00Hypoxia response, Master transcriptional regulator
Malt1Chr18 65586771Promoter19%*−2.00NF‐kappaB activation
Igf2rChr17 12965268Promoter44%−2.02Activation of TGF‐β. Intracellular trafficking of lysosomal enzymes and degradation of IGF2, tumorigenesis, Paternally imprinted
Krtap9‐1Chr11 99731190Promoter27%8.00Hair shaft formation
Ccdc40Chr11 119085948Promoter20%−4.03Motile cilia function. Ciliary dyskinesia type 15
CftrChr6 18119186Promoter20%−2.00Chloride channel and enzyme binding, associated with cystic fibrosis
CftrChr6 18242079Genebody42%−2.00
Pdzd2Chr15 12315935Genebody23%2.02Prostate tumorigenesis
Pdzd2Chr15 12342544Genebody27%2.02
Pdzd2Chr15 12521967Promoter19%2.02
Elovl2Chr13 41317598Promoter23%−4.04Atherosclerosis, protein binding and fatty acid elongase activity
Gpr18Chr14 122316980Promoter96%1.98Regulation of immune system, bipolar disorder
Rpn1Chr6 88030514Promoter24%−2.01Dolichyl‐diphosphooligosaccharide‐protein glycotransferase activity
Mosc1Chr1 186637543Promoter19%−4.12
Tmem150cChr5 100589921Promoter25%−2.04
Shroom3Chr5 93236380Promoter27%−2.01Regulation of cell shape in neuroepithelium
Calb1Chr4 15806105Promoter24%−1.95Functions in purkinje cells
Gpr61Chr3 107962781Promoter22%**8.01G‐protein coupled receptor signaling
Cd40Chr2 164871483Enhancer96%−2.02Immune and inflammatory response
Ephx1Chr1 182951005Promoter23%2.02Cis‐stilbene‐oxide hydrolase activity, epoxide hydrolase activity. Plays a role in preeclampsia
Arhgap29Chr3 121628392Enhancer96%−2.00Rho GTPase activator activity, essential role in blood vessel tubulogenesis
Fbxl4Chr4 22244260Enhancer21%−2.02Cell cycle control
Fbxl4Chr4 22264607Enhancer21%−2.02
Zmat3Chr3 32233835Genebody96%**−1.96TP53‐dependent growth regulatory pathway and TP53‐mediate apoptosis, inhibits tumor cell growth
Zmat3Chr3 32278426Enhancer22%−1.96
Fam125bChr2 33790838Enhancer23%**−2.03Vesicular trafficking
Serpinb2Chr1 109370955Enhancer31%−4.08Serine‐type endopeptidase inhibitor activity
Rims1Chr1 22615396Genebody97%*−2.02Exocytosis, maintenance of neurotransmitter release and regulation of release during short‐term synaptic plasticity
Rims1Chr1 22763512Genebody96%−2.02
DstChr1 34249899Genebody20%−2.01Cytoskeletal linker protein, Regulation of keratinocyte polarity and mobility
DstChr1 34315083Genebody20%−2.01
DstChr1 34322642Genebody26%−2.01
Etl4Chr2 20373784Genebody23%2.00Intervertebral disk development
Etl4Chr2 20576360Genebody95%*2.00
EsrrgChr1 189527991Genebody46%−2.00Transcriptional activator via estrogen response elements
EsrrgChr1 189976300Genebody21%*−2.00
Dnm3Chr1 163949959Genebody22%−1.99Megakaryocyte development, likely involved in endocytosis
Dnm3Chr1 164108264Genebody40%**−1.99
Rbms1Chr2 60615270Genebody25%−2.02Cell cycle progression, apoptosis, DNA replication and gene transcription.
Rbms1Chr2 60789032Genebody19%−2.02
LrbaChr3 86163560Genebody23%−2.01Signal transduction and vesicle trafficking
LrbaChr3 86267521Genebody21%−2.01
Plcb1Chr2 134819839Genebody23%−1.99Intracellular transduction of extracellular signals
Plcb1Chr2 135145732Genebody25%−1.99
Meis2Chr2 115688950Genebody96%−2.01Transcriptional regulation
Meis2Chr2 115750462Genebody96%−2.01
Bach2Chr4 32560314Genebody21%*−2.00Transcriptional regulation
Bach2Chr4 32629036Genebody21%−2.00
Kcnd3Chr3 105447527Genebody16%*−1.84Smooth muscle contraction, heart rate, insulin secretion, neuronal excitability and cell volume
Fam19a1Chr6 96068370Genebody31%−1.91Regulators of immune cells and cells of the nervous system
Fam19a1Chr6 96235296Genebody19%**−1.91
DroshaChr15 12715566Enhancer22%−2.03Cleaves ds‐RNA in micro RNA processing
DroshaChr15 12817558Genebody27%−2.03
Gsk3bChr16 38062422Enhancer20%−2.01Negative regulator in hormonal control of glucose homeostasis, Wnt signaling and the regulation of transcription factors and microtubules. Regulates NFatc1 expression. Mediates development of insulin resistance
Gsk3bChr16 38138300Genebody20%**−2.01
Gsk3bChr16 38218276Genebody96%−2.01
Pmm2Chr16 8627532Enhancer33%−2.02Glycoprotein biosynthesis
OstaChr16 32515415Enhancer31%−2.00Transporter activity
Krt8Chr15 101867475Enhancer23%−4.02Signal transduction and cellular differentiation
Slc38a4Chr15 96905406Enhancer96%−2.00Sodium‐dependent amino acid transporter
Slc38a2Chr15 96516885Enhancer20%*−2.03Supply of maternal nutrients to fetus through placenta, transport of amino acids at blood‐brain barrier
Adra2aChr19 54118496Promoter26%1.99Mediates the catecholamine‐induced inhibition of adenylate cyclase

Table provides differentially expressed genes with corresponding differential methylation (DM) sites. Bolded DM values indicate decreased methylation at E14.5 whilst unbolded DM values indicates increased methylation at E14.5.

*Notes P<0.05 in methylation changes and **notes P<0.01 in methylation changes. Gene functions are summarized.

List of Genes With Differential Expression and Methylation Table provides differentially expressed genes with corresponding differential methylation (DM) sites. Bolded DM values indicate decreased methylation at E14.5 whilst unbolded DM values indicates increased methylation at E14.5. *Notes P<0.05 in methylation changes and **notes P<0.01 in methylation changes. Gene functions are summarized. Expression changes for selected genes with differentially methylated sites. A, Gene expression analysis (n=3) of 350 differentially methylated genes between E11.5 and E14.5 showing that 181 genes are differentially expressed and 79 of those genes show consistent changes in DNA methylation. B, The top 15 upregulated genes (red) and downregulated genes (green) in E14.5. The solid and open triangles mark differentially methylated sites in regulatory regions (promoter proximal or distal) and gene bodies, respectively. The up and down directions of triangles indicate increased and decreased methylation, respectively. Recent studies of the correlation between DNA methylation and gene expression have found that increased promoter and enhancer methylation often lead to gene silencing while DNA methylation at gene bodies corresponds with gene activation.[53] We therefore examined the functional correlation between differential gene expression and changes in DNA methylation. We found that among the top 15 downregulated genes at E14.5, 4 of them contained an increase in methylation of sites located within promoter or enhancer regions and an additional 4 showed decreased methylation in their gene bodies (Figure 5B). Of the top 15 upregulated genes, 4 had decreased methylation in their enhancers and 3 exhibited increased methylation in their gene bodies. We found that, while 12.7% (23) of the 181 differentially expressed genes contained differentially methylated sites within the promoter region, methylation of only 60.8% (14) of those genes was predictive of their expression difference between E11.5 and E14.5, and overall 43.6% (79) of genes had differentially methylated sites predictive of expression change. The findings suggest that not all DNA methylation is functional; most genes are regulated independent of methylation.[54] Nevertheless, the observed correlations between gene expression and DNA methylation during heart development do support that DNA methylation regulates expression of a subset of genes during heart development.

Increased DNA Methylation at Enhancers is Associated With Decreased Expression of the Cardiac‐Essential Gene Has2 in the Developing Heart

These correlations suggest a regulatory relationship between DNA methylation and cardiac‐important genes. Notably, Has2 is essential for endocardial to mesenchymal transformation and heart valve formation.[51,55-56,6] Gene network analysis using the Genemania open freeware (http://www.genemania.org) further revealed potential genetic and/or physical interactions among genes or pathways involved in heart development. The top 20 genes that were identified to interact (either genetically or physically) with Has2 by the network analysis were significantly enriched with functions involved in heart development. These genes included Cdh2, Epo, Kcna5, Myocd, Tbx20, Hand1, Mef2c, and Nfatc4 (Figure 6).[49,57-59] Regulation of these genes by DNA methylation to influence their expression will ultimately affect their pathway and downstream functions, which are essential for heart development.
Figure 6.

Network analysis for DNA methylation‐regulated Has2. Top: Genemania analysis reveals multiple relationships between Has2 and multiple cardiac genes including Myocd, Kcna5, Mef2c, Hand1, Tbx20 and Nfatc4. Bottom: Top functions of genes in the Has2 network.

Network analysis for DNA methylation‐regulated Has2. Top: Genemania analysis reveals multiple relationships between Has2 and multiple cardiac genes including Myocd, Kcna5, Mef2c, Hand1, Tbx20 and Nfatc4. Bottom: Top functions of genes in the Has2 network. Previous knockout studies in mice have shown that Has2 is essential for development of cardiac valves and septa.[51,56] Here, our DNA methylation analysis indicated that an ACGT site located within 1 kb of a previously determined enhancer of Has2, marked by enriched H3K27ac at E14.5,[44] exhibited an increase in methylation as confirmed by Sequenom's MassArray (Figure 7A). Based on what is known about DNA methylation, we expected to see a decrease in Has2 expression at E14.5, with confirmation by qPCR analysis (Figure 7B). To further characterize its expression in the developing hearts, we carried out RNA in situ hybridization. The results showed that Has2 expression was predominately expressed in the endocardial cells and their mesenchymal progeny cells that form the primitive heart valves at E11.5, but its expression markedly diminished by E14.5 (Figure 7C), consistent with its function in endocardial to mesenchymal transformation around E11.5 for heart valve development.
Figure 7.

Has2 expression is regulated by Dnmt3b. A, MassArray showing increased Has2 enhancer methylation at E14.5 (n=2). B, RT‐qPCR showing decreased Has2 expression at E14.5 (n=3). C, RNA in situ hybridization showing that Has2 expression is predominantly in the atrioventricular canal (avc), with less expression in the myocardium (myo) at E11.5; and the expression is diminished by E14.5. mv/tv, mitral/tricuspid valve; ivs, interventricular septum. D, IHC showing Dnmt3b is predominantly expressed in AVC at E11.5. E, X‐gal staining showing the Nfatc1‐Cre mediated LacZ expression in the AVC at E11.5. F, RT‐qPCR showing that deletion of Dnmt3b resulted in increased Has2 expression at E11.5 and E14.5 (n=3). Error bars represent standard error. *Marks statistical significance (P<0.001, 2 factor ANOVA in [F]). ANOVA indicates analysis of variance; CKO, conditional knockout; IHC, immunohistochemistry; RT‐qPCR, quantitative real‐time polymerase chain reaction; WT, wild type.

Has2 expression is regulated by Dnmt3b. A, MassArray showing increased Has2 enhancer methylation at E14.5 (n=2). B, RT‐qPCR showing decreased Has2 expression at E14.5 (n=3). C, RNA in situ hybridization showing that Has2 expression is predominantly in the atrioventricular canal (avc), with less expression in the myocardium (myo) at E11.5; and the expression is diminished by E14.5. mv/tv, mitral/tricuspid valve; ivs, interventricular septum. D, IHC showing Dnmt3b is predominantly expressed in AVC at E11.5. E, X‐gal staining showing the Nfatc1‐Cre mediated LacZ expression in the AVC at E11.5. F, RT‐qPCR showing that deletion of Dnmt3b resulted in increased Has2 expression at E11.5 and E14.5 (n=3). Error bars represent standard error. *Marks statistical significance (P<0.001, 2 factor ANOVA in [F]). ANOVA indicates analysis of variance; CKO, conditional knockout; IHC, immunohistochemistry; RT‐qPCR, quantitative real‐time polymerase chain reaction; WT, wild type.

Dnmt3b Suppresses Expression of the Cardiac‐Essential Gene Has2 in the Developing Heart

We next chose to determine experimentally the function of DNA methylation in Has2 expression in the developing heart valves. To overcome the difficulty of not being able to directly assay the in vivo role of methylation of the Has2 enhancer on the expression of the gene in the developing heart, we inactivated the activity of DNA methyltransferase 3b (Dnmt3b), which is responsible for de novo methylation during embryonic development.[22] First, we showed that, like Has2, Dnmt3b was expressed predominately in the endocardial cells, precursor cells for the heart valves (Figure 7D). The expression pattern of Dnmt3b suggests that it has a role in DNA methylation in the endocardial cell lineages and may therefore regulate Has2 expression in the developing heart valves. Indeed, deletion of Dnmt3b in the endocardial cells and their valve progeny, using the endocardial‐specific Nfatc1 mice (Figure 7E),[9] resulted in significantly increased Has2 expression in the developing heart valves at E11.5 and E14.5 (Figure 7F). The results support that DNA methylation of the Has2 enhancer plays a role in repressing its expression during heart development.

Discussion

In this study, we generated a developmental profile of DNA methylation using methyl sensitive tiny fragment enrichment coupled with massively parallel sequencing (MSFE/MPS). Greater coverage and increased sensitivity for the detection of methylation are achieved using this method compared with microarray‐based techniques. The method also provides more detailed information specific for ACGT sites and is capable of detecting intermediate levels of methylation, allowing for detection of modest changes in methylation.[60] Our technique was adapted from the HpaII tiny fragment enrichment by ligation mediated PCR (HELP)‐tagging assay developed by Suzuki et al[32-33] In the original HELP‐tagging assay a methylation sensitive restriction enzyme, HpaII, is used to assess methylation of CpG dinucleotides located within its recognition site 5′‐CCGG‐3′. We modified this technique by using a different methylation‐sensitive restriction enzyme, HpyCH4IV, whose recognition site is 5′‐ACGT‐3′ even though it lacks a methylation‐insensitive isoschizomer. Previous studies have confirmed that sequencing reads/tags from a single methylation sensitive restriction enzyme without its isoschizomer are highly correlated with methylation status.[32,61] Furthermore, we used independent validation methods, such as LUMA and MassArray to confirm methylation levels determined by the MSFE/MPS. HpyCH4IV provides comparable genome coverage to HpaII, having 1.7 million recognition sites located throughout the genome. Future studies using both enzymes will not only double the coverage but also examine and compare DNA methylation in both CG rich and non‐CG rich regions. In addition, the use of HpyCH4IV will, in future studies, allow us to directly examine, in a genome‐wide manner, the effect of methylation on transcription factor binding sites such as Hif1α, whose consensus binding sequence is 5′‐ACGTG‐3′ and has been shown to be regulated by DNA methylation.[62] The original analytical pipeline was also modified to analyze our MPS data generated by using HpyCH4IV.[37] Within the HELP‐tagging protocol an internal experimental control is used in which contaminating fragments are recognized based on the absence of the digested restriction site.[60] Additionally, to better identify differentially methylated sites between developmental stages, we generated a threshold to determine levels of methylation at individual loci. We employed these modifications to generate a genome wide developmental profile of methylation at ACGT sites in the developing heart. The results showed no significant global change in methylation over mid‐stage heart development, although our study did not include the repetitive regions of the genome as they could not be aligned and thus discarded in the pipeline. We further confirmed that there is no significant change in global methylation patterns using LUMA. Although drastic changes in global DNA methylation are not present during heart development, differential methylation was detected at a small subset of individual loci throughout the genome in this study. Furthermore, we detected a number of differentially methylated sites in which the change in methylation between E11.5 and E14.5 corresponds with the observed change in expression of the nearby gene, suggesting that there is a regulatory relationship between DNA methylation and the expression of cardiac‐important genes including Has2. Has2 has previously been identified to be essential for heart development, playing a role in epicardial cell differentiation, heart valve development, and septation.[51,55] A DNA methylation‐regulated cardiac gene program was generated by performing a network analysis for Has2 using Genemania. Network analysis revealed multiple relationships between Has2 and other cardiac‐important gene products, including previously mentioned Tbx20, involved in endocardial cushion formation and heart valve remodeling,[57] Hand 1 involved in ventricle morphogenesis,[58] and Nfatc4, a member of the nuclear factor of activated T‐cell family that are known to be essential for heart development.[59] Additional connections have been identified between Has2 and Gjc1 (Connexin45), known to play an important role in cardiac morphogenesis and conduction,[63] and Cdh2, Epo, Kcna5, Mef2c, and Myocd, which are essential for heart development and function. We further studied methylation of Has2 and its expression in the developing heart in detail, as it has an increase in enhancer methylation that corresponds with a decrease in its expression over mid‐stage heart development in the developing heart valves. We showed by qPCR analysis, RNA in situ hybridization, and genetic knockout that Dnmt3b regulates Has2 expression, possibly through its enhancer methylation. In this study we were able to assay 1.64 million ACGT sites for potential changes in DNA methylation during mid‐stage cardiac development, identifying 2901 differentially methylated sites, and determined a number of developmentally important cardiac genes that are likely to be regulated by DNA methylation. However, current methods for studying functionality of DNA methylation at specific sites in the developing heart are limited. We circumvented this limitation by revealing the dependence of Has2 expression on Dnmt3b expression in the developing heart valves. Our results are mainly discovery and by necessity preliminary, and will require a much larger sample size to detect more sites with more subtle DNA methylation changes between the 2 developmental stages. In conclusion, our results support an essential role for DNA methylation in the regulation of cardiac essential genes during heart development and suggest abnormal DNA methylation may contribute to the pathogenesis of congenital heart disease. Using this study as a starting point, we plan to investigate further candidate genes as well as the role of additional epigenetic modifications that may play a role in heart development and disease.
  62 in total

1.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

2.  Temporal and distinct TGFbeta ligand requirements during mouse and avian endocardial cushion morphogenesis.

Authors:  Todd D Camenisch; Daniël G M Molin; Anthony Person; Raymond B Runyan; Adriana C Gittenberger-de Groot; John A McDonald; Scott E Klewer
Journal:  Dev Biol       Date:  2002-08-01       Impact factor: 3.582

3.  Wnt2 is a direct downstream target of GATA6 during early cardiogenesis.

Authors:  Alexander Alexandrovich; Matthew Arno; Roger K Patient; Ajay M Shah; John A Pizzey; Alison C Brewer
Journal:  Mech Dev       Date:  2006-04-18       Impact factor: 1.882

4.  Jumonji, a nuclear protein that is necessary for normal heart development.

Authors:  Y Lee; A J Song; R Baker; B Micales; S J Conway; G E Lyons
Journal:  Circ Res       Date:  2000-05-12       Impact factor: 17.367

5.  Loss of genomic methylation causes p53-dependent apoptosis and epigenetic deregulation.

Authors:  L Jackson-Grusby; C Beard; R Possemato; M Tudor; D Fambrough; G Csankovszki; J Dausman; P Lee; C Wilson; E Lander; R Jaenisch
Journal:  Nat Genet       Date:  2001-01       Impact factor: 38.330

6.  The mechanism of DNA cytosine-5 methylation. Kinetic and mutational dissection of Hhai methyltransferase.

Authors:  G Vilkaitis; E Merkiene; S Serva; E Weinhold; S Klimasauskas
Journal:  J Biol Chem       Date:  2001-03-29       Impact factor: 5.157

7.  Heart-valve mesenchyme formation is dependent on hyaluronan-augmented activation of ErbB2-ErbB3 receptors.

Authors:  Todd D Camenisch; Joyce A Schroeder; Judy Bradley; Scott E Klewer; John A McDonald
Journal:  Nat Med       Date:  2002-07-22       Impact factor: 53.440

8.  The contribution of the inferior endocardial cushion of the atrioventricular canal to cardiac septation and to the development of the atrioventricular valves: study in the chick embryo.

Authors:  M V De la Cruz; M Giménez-Ribotta; O Saravalli; R Cayré
Journal:  Am J Anat       Date:  1983-01

9.  Development of heart valve leaflets and supporting apparatus in chicken and mouse embryos.

Authors:  Joy Lincoln; Christina M Alfieri; Katherine E Yutzey
Journal:  Dev Dyn       Date:  2004-06       Impact factor: 3.780

10.  Methylation levels of maternal and paternal genomes during preimplantation development.

Authors:  S K Howlett; W Reik
Journal:  Development       Date:  1991-09       Impact factor: 6.868

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  36 in total

1.  Decoding the complex genetic causes of heart diseases using systems biology.

Authors:  Djordje Djordjevic; Vinita Deshpande; Tomasz Szczesnik; Andrian Yang; David T Humphreys; Eleni Giannoulatou; Joshua W K Ho
Journal:  Biophys Rev       Date:  2014-12-10

2.  FOXP1 controls mesenchymal stem cell commitment and senescence during skeletal aging.

Authors:  Hanjun Li; Pei Liu; Shuqin Xu; Yinghua Li; Joseph D Dekker; Baojie Li; Ying Fan; Zhenlin Zhang; Yang Hong; Gong Yang; Tingting Tang; Yongxin Ren; Haley O Tucker; Zhengju Yao; Xizhi Guo
Journal:  J Clin Invest       Date:  2017-02-27       Impact factor: 14.808

3.  Knockdown of DNA methyltransferase 3a alters gene expression and inhibits function of embryonic cardiomyocytes.

Authors:  Xiefan Fang; Ryan R Poulsen; John Wang-Hu; Olivia Shi; Nicholas S Calvo; Chelsey S Simmons; Scott A Rivkees; Christopher C Wendler
Journal:  FASEB J       Date:  2016-06-15       Impact factor: 5.191

4.  Myocardial tissue-specific Dnmt1 knockout in rats protects against pathological injury induced by Adriamycin.

Authors:  Tong-Tong Wu; Yuan-Wu Ma; Xu Zhang; Wei Dong; Shan Gao; Ji-Zheng Wang; Lian-Feng Zhang; Dan Lu
Journal:  Lab Invest       Date:  2020-02-12       Impact factor: 5.662

5.  Dnmt3a and Dnmt3b-Decommissioned Fetal Enhancers are Linked to Kidney Disease.

Authors:  Yuting Guan; Hongbo Liu; Ziyuan Ma; Szu-Yuan Li; Jihwan Park; Xin Sheng; Katalin Susztak
Journal:  J Am Soc Nephrol       Date:  2020-03-03       Impact factor: 10.121

6.  Epigenetic Regulation of Cardiac Development and Disease through DNA Methylation.

Authors:  Yahui Lan; Todd Evans
Journal:  J Life Sci (Westlake Village)       Date:  2019-09

Review 7.  Molecular regulation of cardiomyocyte differentiation.

Authors:  Sharon L Paige; Karolina Plonowska; Adele Xu; Sean M Wu
Journal:  Circ Res       Date:  2015-01-16       Impact factor: 17.367

8.  Association of DNMT1 Gene Polymorphisms with Congenital Heart Disease in Child Patients.

Authors:  FengYu Wang; ShiYuan Zhou; YanLi Wang; LiNa Wang; JiPing Zhou; HaiLi Wang; CongMin Li; MingXiu Chang
Journal:  Pediatr Cardiol       Date:  2015-01-18       Impact factor: 1.655

Review 9.  Genetic and Epigenetic Regulation of Human Cardiac Reprogramming and Differentiation in Regenerative Medicine.

Authors:  Paul W Burridge; Arun Sharma; Joseph C Wu
Journal:  Annu Rev Genet       Date:  2015       Impact factor: 16.830

Review 10.  Epitranscriptomics in the Heart: a Focus on m6A.

Authors:  Jacob Z Longenecker; Christopher J Gilbert; Volha A Golubeva; Colton R Martens; Federica Accornero
Journal:  Curr Heart Fail Rep       Date:  2020-10
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