Literature DB >> 27956497

Non-CpG methylation by DNMT3B facilitates REST binding and gene silencing in developing mouse hearts.

Donghong Zhang1, Bingruo Wu1, Ping Wang2, Yidong Wang1, Pengfei Lu1, Tamilla Nechiporuk3, Thomas Floss4, John M Greally5, Deyou Zheng6, Bin Zhou1,7.   

Abstract

The dynamic interaction of DNA methylation and transcription factor binding in regulating spatiotemporal gene expression is essential for embryogenesis, but the underlying mechanisms remain understudied. In this study, using mouse models and integration of in vitro and in vivo genetic and epigenetic analyses, we show that the binding of REST (repressor element 1 (RE1) silencing transcription factor; also known as NRSF) to its cognate RE1 sequences is temporally regulated by non-CpG methylation. This process is dependent on DNA methyltransferase 3B (DNMT3B) and leads to suppression of adult cardiac genes in developing hearts. We demonstrate that DNMT3B preferentially mediates non-CpG methylation of REST-targeted genes in the developing heart. Downregulation of DNMT3B results in decreased non-CpG methylation of RE1 sequences, reduced REST occupancy, and consequently release of the transcription suppression during later cardiac development. Together, these findings reveal a critical gene silencing mechanism in developing mammalian hearts that is regulated by the dynamic interaction of DNMT3B-mediated non-CpG methylation and REST binding.
© The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2017        PMID: 27956497      PMCID: PMC5389556          DOI: 10.1093/nar/gkw1258

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


INTRODUCTION

Heart development is regulated by a complex program involving transcriptional and epigenetic processes. A dysregulated cardiac gene program impairs cardiogenesis and cardiac function, leading to cardiac hypertrophy, arrhythmia and heart failure (1,2). Repressor element 1 (RE1)-silencing transcription factor (REST; also known as NRSF for Neuron Restrictive Silencer Factor) is known to suppress the expression of neuronal genes in non-neuronal cells (3,4), but its functions have been recently shown to be more diverse. In developing mouse hearts, REST represses the expression of a subset of cardiac genes, such as atrial natriuretic peptide (Nppa), brain natriuretic peptide (Nppb), and the pacemaker hyperpolarization-activated cyclic nucleotide-modulated potassium channel protein 2 (Hcn2) (5,6). Developmentally regulated expression of Hcn2, which encodes the prominent HCN isoform expressed in the adult ventricular cardiomyocytes, contributes to the maturation of cardiac pacemaker channels (7–9). While critically important in the development of rhythmic heartbeat, the mechanism underlying the repression of Hcn2 and other cardiac genes by REST during heart development is poorly understood. It has been previously shown that REST represses its targets mainly through the recruitment of a cohort of chromatin modifiers, such as histone deacetylases (HDACs), including the SIN3 complex, and methyl-binding proteins such as methyl-CpG binding protein 2 (Mecp2) (10,11). In non-neuronal cells, REST strongly represses gene expression when its binding sites, the Repressor Element 1 (RE1) motifs, have more CpG DNA methylation (10,12). Our previous genome-wide study has also shown that DNA methylation of the cardiac-essential genes is developmentally regulated, a process involving de novo DNA methyltransferase 3B (DNMT3B) (13). In addition, abnormal DNA methylation during development has been associated with cardiac hypertrophy (14,15). It is therefore interesting to investigate how REST function is related to DNA methylation during heart development. The majority of cytosine methylation in mammalian genomes occurs at CpG dinucleotides, with non-CpG (CpA, CpT and CpC) dinucleotides generally accounting for a relatively small proportion of total cytosine methylation. Recent studies have, however, shown that non-CpG methylation is high in pluripotent stem cells and several other cell types (such as oocytes) (16–22). In particular, non-CpG methylation (e.g. CpAs) is found to be the major form of DNA methylation in human neurons (23–25) and is important for gene regulation (25–28). Whether non-CpG methylation plays a role in cardiac gene program during development is, however, currently unknown. The consensus, 21-nt long, RE1 motif contains one CpG and 7 to 8 non-CpGs, and thus serves as a good model for addressing the potential roles of non-CpG methylation in the context of REST binding and gene suppression. In this study, we began by investigating DNA methylation at the Hcn2 intronic RE1 (referred as Hcn2-RE1) in the developing mouse heart. Our results show that its non-CpG hypermethylation is dependent on DNMT3B and crucial for REST binding to suppress Hcn2 transcription in early embryonic hearts. Extending the analysis genome-wide, we demonstrated that such a mechanism regulates the expression of >30% of REST-targeted genes in the developing heart. Taken together, the results of our study support a new mode of adult gene silencing in the developing heart that is mediated by the interaction between REST and non-CpG methylation, which in turn is regulated by DNMT3B.

MATERIALS AND METHODS

Experimental mice

Mouse experiments were carried out following the Guide for the Care and Use of Laboratory Animals published by NIH and the guidelines of the Institutional Animal Care and Use Committee (IACUC) of Albert Einstein College of Medicine. C57BL6 floxed Dnmt3a (Dnmt3af/f) and Dnmt3b (Dnmt3bf/f) mice (29) were obtained from the Jackson Laboratory (Bar Harbor, Maine). C57BL/6 conditional gene trap (GT) cassette in an intron of the endogenous Rest gene Rest (Rest mice were generated at the Wellcome Trust Sanger Institute (Hinxton, UK) and described previously (30). C57/BL6 cardiac Troponin T Cre (TnntCre) mice (31) were used for myocardial deletion of Dnmt3a, Dnmt3b or Rest. Conditional knockout (KO) mice were genotyped by PCR for Cre- and allele-specific primers. CD-1 wild-type mice were purchased from the Charles River Laboratories (Kinston, NY). Noontime on the day of observation of vaginal plugs was designated as embryonic day (E) 0.5. Pregnant mice were sacrificed at differential developmental stages, E10.5, E14.5, E18.5, postnatal (P) 1 and P21, by isoflurane inhalation. Ventricles were excised from isolated embryonic and postnatal hearts and immediately snap-frozen and stored in liquid nitrogen, as described before (13).

Primary neonate cardiomyocyte and cardiac fibroblast cultures

Primary neonate cardiomyocyte and cardiac fibroblast were isolated and cultured as described previously (32). In brief, ventricles were excised from P1 neonates and digested with 0.045% collagenase II and 0.08% trypsin–EDTA. Cardiomyocytes and cardiac fibroblast cells were separated by their differential adherence to the culture dish, and then maintained at 37°C and under 5% CO2 in Dulbecco's modified Eagle's minimum essential medium (DMEM) supplemented with 10% fetal calf serum.

Quantitative reverse transcription PCR (qRT-PCR)

Total RNA was isolated from the ventricles using the Trizol Reagent. The first-strand cDNA was synthesized by incubation of 0.5 mg of total RNA with oligo dT and reverse transcriptase (Superscript III, Invitrogen), according to the manufacturer's protocol. qPCR was performed using the Power SYBR Green PCR Master Mix (Life Technologies) on the Applied Biosystems 7900HT Fast Real-Time PCR System (Thermo Fisher Scientific, MA). Primers are listed in Supplementary Table S1. The expression of Gapdh was used as an internal control for normalization. Relative changes in expression levels were calculated using the 2−ΔΔCT method. All qRT-PCR analyses were performed in biological triplicates for each sample and student t-test was used for determining significance.

Western blot analysis

Protein lysates were extracted from ventricles for immunoblotting as previously described (33). Briefly, protein lysates were separated and incubated with primary antibodies against HCN2 (Proteintech, 555245-1-AP, 1:300 dilution), DNMT1 (Abcam, ab13537, 1:1000 dilution), DNMT3A (Abcam, ab13888, 1:1000 dilution), DNMT3B (Abcam, ab13604, 1:1000 dilution), REST (Antibodies-online, ABIN747683, 1:1000 dilution), and GAPDH (Thermo Fisher Scientific, MA5-15738, 1:2000 dilution), overnight at 4°C, followed by the use of horseradish peroxidase (HRP)-conjugated secondary antibodies (1:1000 dilution), with subsequent detection using the Pierce™ ECL substrate with optimal exposure time for each antibody detection. The signal densities of protein bands were quantified and normalized to that of GAPDH using the ImageJ software (National Institutes of Health).

Bisulfite sequencing

Genomic DNA was extracted from the ventricles of embryos at different developmental stages, and modified by the BisulFlash DNA Modification kit (34). CpGenome Universal Unmethylated DNA (sigma, S7822-M) and Methylated Control DNA (Sigma, M8570) were used as positive and negative controls, respectively. PCR primers for detecting the Hcn2-RE1 are listed in Supplementary Table S1. PCR fragments were gel purified using the MinElute Gel Extraction Kit and then cloned into the pCR2.1® vector. After bacterial transformation, 6–10 positive colonies were randomly selected for bisulfite sequencing. The percentage of non-CpG methylation of each clone was calculated by the ratio of methylated sites to the total of non-CpG sites (for Hcn2-RE1, non CpG = 7). The average percentage of non-CpG methylation for the RE1 was then calculated from the triplicate assays.

Chromatin immunoprecipitation (ChIP), quantitative ChIP (qChIP) and re-ChIP assays

30–50 mg of embryonic ventricles were minced, treated with formaldehyde, sonicated into 100–300 bp DNA fragments and immunoprecipitated using the magnet bead-bound antibodies (5 μg) against DNMT3A (Abcam, ab13888), DNMT3B (Abcam, ab13604) and REST (EMD Millipore, 17-641) or control IgGs (Abcam, ab171870). Immunoprecipitates were washed and eluted with elution buffers. The eluates were incubated at 65°C overnight to reverse the cross-links and then treated with RNase A, and followed by proteinase K treatment. The samples were purified using a PCR purification kit. In re-ChIP (sequential ChIP) experiments, the initial immunoprecipitated complexes were eluted by incubation with 10 mM dithiothreitol (DTT) at 37°C for 30 min, diluted 1:50 in the immunoprecipitation buffer, and re-immunoprecipitated with secondary antibodies or control IgG overnight at 4°C as previously described (35). Bound DNAs were extracted and used for PCR analysis to determine the enrichment of DNA fragments containing the Hcn2-RE1, using specific primers (Supplementary Table S1).

Luciferase reporter gene assay

The mouse Hcn2 gene with or without the Hcn2-RE1 was PCR cloned into the PGL3-enhancer luciferase reporter vector at KpnI and NheI (or Xho1). PCR primers for detecting the Hcn2-RE1 are listed in Supplementary Table S1. All constructs were confirmed by Sanger sequencing. Rest siRNAs were purchased from the Einstein shRNA Core Facility, pcDNA/Myc-DNMT3A and cDNA/Myc-DNMT3B were obtained from Addgene (36). Lipofectamine LTX and PLUS Reagents (Life Technologies) were used for the transfection of siRNAs or the pcDNA3 expression constructs into the primary cultured ventricular cardiomyocytes. The efficiency of gene knockdown or over-expression of Rest, Dnmt3a and Dnmt3b was confirmed by immunofluorescence staining. The Renilla luciferase vector was co-transfected and used for normalizing transfection efficiency using the dual-luciferase reporter assay kit (Promega, E1980) according to the manufacturer's instructions. All data were normalized by Renilla luciferase luminescence derived from the co-transfected pRL-SV40 vector (Promega, E2231).

Electrophoretic mobility shift assay (EMSA)

An EMSA kit (Thermos Scientific, 20148) was used to detect REST binding to the Hcn2-RE1 using nuclear extracts kit (Thermos Scientific, 78833) from ventricular cardiomyocytes isolated from E14.5 ventricles. Hcn2-RE1 oligonucleotides (Supplementary Table S1) with methylated non-CpG or CpG sites were labeled with biotin at their 3΄-ends (Integrated DNA Technologies, Inc., Coralville, CA, USA). In the super-shift experiments, the nuclear extracts were pre-incubated with anti-REST antibody (EMD Millipore, 17-641). Protein–DNA binding complexes were separated on a 6% DNA retardation gel, detected using the ECL regent and quantified using the ImageJ software (37).

In vitro DNA methylation assay

Cytosines of the PGL3-enhancer vector with or without the Hcn2-RE1 were methylated using SssI recombinant methyltransferase (NEB, M0226M). Two microgram of plasmid DNA were incubated with 4 U SssI in the presence of 320 μM S-adenosyl methionine for 2 h at 37°C. The reaction was stopped by heating at 65°C for 20 min. The DNA was purified by gel extraction. Methylation of plasmids was verified by bisulfite sequencing.

Immunofluorescence

Primary embryonic and neonatal ventricular cardiomyocytes were seeded onto Matrigel-coated Nunc Thermanox and poly-L-lysine/laminin-coated glass coverslips, transfected with 100 nM siRNA for Dnmt3a, Dnmt3b or Rest by the Lipofectamine LTX and PLUS Reagents for 48 h, and then exposed to anti-HCN2 (Proteintech, 555245-1-AP, 1:500), REST (Antibodies-online, ABIN747683, 1:500) and DNMT3B (Abcam, ab13604, 1:500) antibodies. The samples were detected with Cy3-labeled goat anti-rabbit IgG and counterstained using DAPI. The stained cardiomyocytes were analyzed using a Carl Zeiss imaging system (Thomwood, NY, USA).

RNA sequencing

Ten micrograms of total RNA were extracted from the ventricular tissue of wildtype or myocardial deletion of Rest embryos at E12.5 using the miRNeasy Mini kit. Each of the two groups included three biological replicates, pooling four hearts for each replicate. Total RNA was checked for quantity and quality on an Agilent Bioanalyzer 2100, with an RNA Integrity Number (RIN) of ≥8.0. Libraries were prepared according to Illumina TrueSeq RNA library method using the ‘TrueSeq RNA Sample preparation guide’ (Illumina Technologies). The fragment distribution of libraries was examined on an Agilent High Sensitivity DNA BioAnalyzer chip, quantified using real-time PCR, and used to prepare clusters using a One-Touch 2 device. These clusters were then sequenced on Illumina HiSeq 2500, to generate 100 bp paired reads.

RNA-seq data analysis

RNA-seq reads were mapped to the mouse reference genome (GRCm38.p4) using TopHat v2.0.13 (38). Based on the GENCODE database (vM6) (39), the number of RNA-seq fragments mapped to each gene was determined by HTSeq (40). DESeq2 (41) was then used to analyze the fragment counts for identifying differentially expressed genes (DEGs), at a false discovery rate (FDR) <0.05. The gene expression values, measured as Fragments Per Kilobase of exon per Million fragments mapped (FPKMs), were initially generated by Cufflinks (version 2.2.1) (42). The FPKMs were converted to transcripts per millions (TPMs) as described previously (43). We restricted our differential expression analysis to the 11 266 protein-coding genes with average TMP >1 in either WT or KO samples. Ingenuity Pathway Analysis (IPA) (http://www.qiagen.com/ingenuity) was used for functional enrichment analysis. The RNA-seq data have been deposited in the GEO (accession number: GSE80378). Using qRT-PCR and qChIP assays, we verified the genes co-regulated and co-occupied by REST and DNMT3B on E12.5 ventricles from either myocardial Rest or Dnmt3b null embryos. Also, we randomly selected 6 of the 41 REST-targeted genes for non-CpG methylation assay for their RE1 by bisulfite sequencing. The primers for qRT-PCR, qChIP and bisulfite sequencing are listed in Supplemental Tables S2, S3 and S4, respectively.

Identification of REST directly targeted genes

Genome-wide REST binding peaks in the mouse embryonic stem cells were derived from previous work (44). Promoter regions were defined as 5 kb upstream of a transcription start site (TSS) to 1 kb downstream, with distal regulatory regions defined as within the remaining 50 kb of the TSS. Genes with at least one peak in the promoter or distal regulatory regions were defined as REST binding genes.

Developmental expression analysis of REST targets

Microarray data for developing mouse hearts were obtained from a previous meta-analysis (45). Ventricle data were available for E12.5–E18.5 but for not other stages, so we used data from whole hearts for those stages.

Statistical analysis

All in vitro experiments were performed as biological triplicates and each sample as technical triplicates. In vivo experiments were collected from at least 6 mice of each genotype. Statistical analyses were performed using Student's t test, Mann–Whitney test, Dunnett multiple comparison test, as appropriate (SPSS 16.0 software). Data were presented as mean ± standard deviation (SD), and two-tailed, P < 0.05 was considered a significant difference.

RESULTS

Increased Hcn2 expression in the developing heart is associated with downregulation of DNMT3B and non-CpG methylation of a functional Hcn2-RE1

To determine the expression profile and regulation mechanism of REST-targeted genes during heart development and maturation, we first focused on the genes encoding cardiac ion channels, by testing the expression of the Hcn1-4 in postnatal day 21 (P21) ventricles using qRT-PCR. The result showed that Hcn2 was the predominantly expressed channel (Figure 1A). As REST suppresses Hcn2 transcription through binding to an Hcn2-RE1 in intron 1 (5), we then examined the developmental expression profile of Hcn2 in embryonic hearts by qRT-PCR and Western blot analyses. We found that Hcn2 expression was developmentally upregulated from E10.5 to P21 as cardiac ion channels became fully mature (Figure 1B–D). Meanwhile, REST expression was maintained at a consistently high level between E10.5 and P1, but drastically downregulated from P1 to P21.
Figure 1.

Increased HCN2 expression in developing hearts and its association with decreased REST and DNMT3 expression and reduced non-CpG methylation of an intronic REST binding element in the Hcn2 gene (Hcn2-RE1). (A, B) qRT-PCR analysis of Hcn1-4 showed that Hcn2 was the predominant form expressed in postnatal ventricles at P21 (A), and developmentally upregulated from E10.5 to P21 (B). P trend-value was calculated using Mann–Kendall test. (C, D) Quantitative Western blot analysis showed that a steadily increased HCN2 level in the developing ventricle from E10.5 to P21 was associated with gradually decreased levels of REST, DNMT3A and DNMT3B. Error bars, SD (n = 3–5/stage), *P < 0.05 as compared to P21 for HCN2, and E10.5 for DNMT1, DNMT3 and REST. (E) Top panel: the Methprimer histogram of CpG islands (blue) and CpG dinucleotides (red vertical lines) in the regulatory region of Hcn2 (TSS, transcription start site). Boxes indicate a segment of Hcn2-RE1 in the first intron of Hcn2. Bottom right panel: Representative bisulfite sequencing of 8 clones from each stage for the Hcn2-RE1. Three mouse hearts were analyzed at each stage, with 8 clones selected for bisulfite sequencing for each heart. (F) Representative bisulfite sequencing data for Hcn2-RE1 from E14.5 and P1 ventricles. (G) Reduction of non-CpG methylation within the Hcn2-RE1 (%) in the developing ventricles from E10.5 to P21. Error bars, SD (n = 3/stage), *P < 0.05 as compared to E10.5 and calculated by the Student's t-test. E, embryonic; P, postnatal.

Increased HCN2 expression in developing hearts and its association with decreased REST and DNMT3 expression and reduced non-CpG methylation of an intronic REST binding element in the Hcn2 gene (Hcn2-RE1). (A, B) qRT-PCR analysis of Hcn1-4 showed that Hcn2 was the predominant form expressed in postnatal ventricles at P21 (A), and developmentally upregulated from E10.5 to P21 (B). P trend-value was calculated using Mann–Kendall test. (C, D) Quantitative Western blot analysis showed that a steadily increased HCN2 level in the developing ventricle from E10.5 to P21 was associated with gradually decreased levels of REST, DNMT3A and DNMT3B. Error bars, SD (n = 3–5/stage), *P < 0.05 as compared to P21 for HCN2, and E10.5 for DNMT1, DNMT3 and REST. (E) Top panel: the Methprimer histogram of CpG islands (blue) and CpG dinucleotides (red vertical lines) in the regulatory region of Hcn2 (TSS, transcription start site). Boxes indicate a segment of Hcn2-RE1 in the first intron of Hcn2. Bottom right panel: Representative bisulfite sequencing of 8 clones from each stage for the Hcn2-RE1. Three mouse hearts were analyzed at each stage, with 8 clones selected for bisulfite sequencing for each heart. (F) Representative bisulfite sequencing data for Hcn2-RE1 from E14.5 and P1 ventricles. (G) Reduction of non-CpG methylation within the Hcn2-RE1 (%) in the developing ventricles from E10.5 to P21. Error bars, SD (n = 3/stage), *P < 0.05 as compared to E10.5 and calculated by the Student's t-test. E, embryonic; P, postnatal. Since DNMT1 has been suggested to be a potential REST co-factor (12) and DNA methylation at CpG sites of the RE-1 motif has been shown to be overall low and affected by REST occupancy in embryonic stem cells and neural progenitors (44,46,47), we next examined the expression of DNMTs (Dnmt1, Dnmt3A and Dnmt3B) and found that the expression of the DNMT3s, especially DNMT3B, was also downregulated from E10.5 to P1, whereas DNMT1 expression was relatively stable (Figure 1C and D). This promoted us to examine DNA methylation of the Hcn2-RE1 by bisulfite sequencing (Figure 1E and F). The results showed that DNA methylation at the non-CpGs was more dynamic than at the CpG site, and the level of DNA methylation at the non-CpGs reduced with progression of heart development (Figure 1G & Supplementary Figure S1), especially from E14.5 (57.9 ± 8.6%) to E18.5 (17.9 ± 1.9%), and a further reduction at P1 (4.8 ± 1.7%). In contrast, the one CpG within the RE1 site and the adjacent CpGs were stably hypomethylated (<5%) throughout development. The findings suggest that non-CpG rather than CpG methylation of the Hcn2-RE1 may play a role in Hcn2 expression during heart development.

Hcn2 silencing in the developing heart depends on the non-CpG methylation of the Hcn2-RE1 by DNMT3B

We next tested whether DNMT3A or DNMT3B is involved in the regulation of Hcn2. Chromatin immunoprecipitation (ChIP) and re-ChIP assays showed that REST and DNMT3B, but not DNMT3A, co-occupied the Hcn2-RE1 in E14.5 ventricles, reflected by an enrichment of Hcn2-RE1 sequence in the immunoprecipitated DNA (Figure 2A). The occupancy of each protein gradually reduced from E14.5 to P1 (Figure 2B). Interestingly, the reduction of their occupancy appeared to follow the trend of decreasing non-CpG methylation in the Hcn2-RE1 (Figure 2C). To test whether REST binding and transcriptional repression of Hcn2 were affected by DNA methylation directly, we generated unmethylated and methylated pGL3 enhancer reporter constructs with or without Hcn2-RE1, and quantified reporter luciferase activity in cultured P1 cardiomyocytes. The results showed that a functional Hcn2-RE1 is required for suppressing Hcn2 transcription in the presence of REST, and the DNA methylation of the RE1 sequence augments the suppression (Figure 2D and E). Furthermore, we found that only Dnmt3b overexpression in P1 cardiomyocytes was able to augment the REST suppression. While Dnmt3a or Dnmt3b knockdown by shRNAs had no effect, presumably due to their already very low expression level in cultured P1 cardiomyocytes, overexpression of Dnmt3b (but not Dnmt3a) increased non-CpG methylation of the Hcn2-RE1 (Figure 2F and Supplementary Figure S2). Altogether, these results suggest that inactivation of Hcn2 transcription in embryonic hearts depends on non-CpG methylation of the Hcn2-RE1 by DNMT3B.
Figure 2.

DNMT3B-mediated non-CpG methylation of Hcn2-RE1 increased REST suppression. (A) Enrichment of targeted Hcn2-RE1 DNA fragments in the chromatin immunoprecipitated by REST and DNMT3A/B antibodies using ChIP and re-ChIP assays and PCR analysis. Top, ChIP by REST and then re-ChIP by DNMT3A, DNMT3B or IgG antibodies (top panel). Bottom, ChIP by DNMT3B and then re-ChIP by REST or IgG antibodies. In all cases, PCR analysis was performed with primers targeting the Hcn2-RE1 region. Representative images of ChIP and re-ChIP assays showing that the Hcn2-RE1 is co-occupied by REST and DNMT3B but not DNMT3A in E14.5 ventricles. (B) qChIP analyses of the ventricles from E14.5, E18.5 and P1, showing a gradual decrease of DNMT3B and REST occupancy at the Hcn2-RE1. (C) Quantitative bisulfite sequencing analyses of the Hcn2-RE1 immunoprecipitated by REST antibody, showing gradually decreasing non-CpG methylation from E14.5, E18.5 and P1. *P < 0.05 compared to E14.5. (D) Reporter assays using cultured P1 ventricular cardiomyocytes transfected with pGL3 enhancer constructs containing either wild type (WT) or deletion (Del) Hcn2-RE1 fragment (from bottom to top), showing that the WT Hcn2-RE1 was required for transcriptional suppression. Reducing REST activities by X5050 abolished the suppression, whereas in vitro methylation by SssI recombinant methyltransferase of the fragment enhanced its suppression [pGL3 enhancer (Me+) versus WT (Me+)]. (E) The shRNA inhibition of Rest but not of Dnmt3a or Dnmt3b expression increased the transcription of the WT pGL3 enhancer construct, whereas overexpression of Dnmt3b but not Dnmt3a was repressive. Luciferase activities were measured and normalized to the Renilla activities. *P < 0.05 compared to the control pGL3 enhancer construct (D) or scrambled shRNA (Ctrl shRNA) (E). (F) Bisulfite sequencing analysis, showing changes in the non-CpG methylation of Hcn2-RE1 in cultured P1 ventricular cardiomyocytes by overexpression of Dnmt3a or Dnmt3b; *P < 0.05 compared to the control empty construct (Ctrl). Error bars, SD (n = 3–4 independent experiments). P-value was calculated using the Student's t-test. E, embryonic; P, postnatal.

DNMT3B-mediated non-CpG methylation of Hcn2-RE1 increased REST suppression. (A) Enrichment of targeted Hcn2-RE1 DNA fragments in the chromatin immunoprecipitated by REST and DNMT3A/B antibodies using ChIP and re-ChIP assays and PCR analysis. Top, ChIP by REST and then re-ChIP by DNMT3A, DNMT3B or IgG antibodies (top panel). Bottom, ChIP by DNMT3B and then re-ChIP by REST or IgG antibodies. In all cases, PCR analysis was performed with primers targeting the Hcn2-RE1 region. Representative images of ChIP and re-ChIP assays showing that the Hcn2-RE1 is co-occupied by REST and DNMT3B but not DNMT3A in E14.5 ventricles. (B) qChIP analyses of the ventricles from E14.5, E18.5 and P1, showing a gradual decrease of DNMT3B and REST occupancy at the Hcn2-RE1. (C) Quantitative bisulfite sequencing analyses of the Hcn2-RE1 immunoprecipitated by REST antibody, showing gradually decreasing non-CpG methylation from E14.5, E18.5 and P1. *P < 0.05 compared to E14.5. (D) Reporter assays using cultured P1 ventricular cardiomyocytes transfected with pGL3 enhancer constructs containing either wild type (WT) or deletion (Del) Hcn2-RE1 fragment (from bottom to top), showing that the WT Hcn2-RE1 was required for transcriptional suppression. Reducing REST activities by X5050 abolished the suppression, whereas in vitro methylation by SssI recombinant methyltransferase of the fragment enhanced its suppression [pGL3 enhancer (Me+) versus WT (Me+)]. (E) The shRNA inhibition of Rest but not of Dnmt3a or Dnmt3b expression increased the transcription of the WT pGL3 enhancer construct, whereas overexpression of Dnmt3b but not Dnmt3a was repressive. Luciferase activities were measured and normalized to the Renilla activities. *P < 0.05 compared to the control pGL3 enhancer construct (D) or scrambled shRNA (Ctrl shRNA) (E). (F) Bisulfite sequencing analysis, showing changes in the non-CpG methylation of Hcn2-RE1 in cultured P1 ventricular cardiomyocytes by overexpression of Dnmt3a or Dnmt3b; *P < 0.05 compared to the control empty construct (Ctrl). Error bars, SD (n = 3–4 independent experiments). P-value was calculated using the Student's t-test. E, embryonic; P, postnatal.

Non-CpG methylation of the Hcn2-RE1 increases REST binding, suppressing Hcn2 expression

Next, we compared the sequences of the Hcn2-RE1 among human, rabbit, rat, and mouse, and found that they share >90% identity. This 21 bp site contains 7 non-CpGs and 1 CpG. We therefore generated Hcn2-RE1s with different DNA methylation states of their cytosines and tested their differences in binding to REST by electrophoretic mobility shift assays (EMSA) using nuclear extracts from E14.5 ventricular cardiomyocytes (Figure 3). The results showed that non-CpG hypermethylation increased REST binding, and that more binding to REST was detected when more non-CpGs were methylated (Figure 3B). In contrast, CpG methylation had zero or limited effect on REST binding. The assay did not test individual Cs, but these results show that non-CpG methylation at both halves of the Hcn2-RE1 facilities REST binding in vitro.
Figure 3.

Non-CpG methylation of the Hcn2-RE1 facilitates REST binding. (A) The top panel shows the conservation of the Hcn2-RE1 among humans, rabbits, and rodents. The bottom panel shows the biotinylated Hcn2-RE1 with varied CpG or non-CpG methylation (Me+) in probes used for electrophoretic mobility shift assay (EMSA). (B) The top panel shows a representative blot of the EMSA assay using nuclear extracts from E14.5 ventricles and the biotinylated Hcn2-RE1. The bottom panel shows the percentages (%) of super shifted band / total binding complex, averaged from four independent experiments. Data are presented as mean ± SD, *P < 0.05 compared to the unmethylated Hcn2-RE1 (Hcn2-RE1 Me-), indicating significantly increased REST binding to the non-CpG methylated Hcn2-RE1. P-value was calculated using the Student's t-test.

Non-CpG methylation of the Hcn2-RE1 facilitates REST binding. (A) The top panel shows the conservation of the Hcn2-RE1 among humans, rabbits, and rodents. The bottom panel shows the biotinylated Hcn2-RE1 with varied CpG or non-CpG methylation (Me+) in probes used for electrophoretic mobility shift assay (EMSA). (B) The top panel shows a representative blot of the EMSA assay using nuclear extracts from E14.5 ventricles and the biotinylated Hcn2-RE1. The bottom panel shows the percentages (%) of super shifted band / total binding complex, averaged from four independent experiments. Data are presented as mean ± SD, *P < 0.05 compared to the unmethylated Hcn2-RE1 (Hcn2-RE1 Me-), indicating significantly increased REST binding to the non-CpG methylated Hcn2-RE1. P-value was calculated using the Student's t-test.

Non-CpG methylation by DNMT3B facilitates Hcn2 suppression by REST

We then directly examined the in vitro regulation of Hcn2 expression by REST and DNMT3B in E14.5 and P1 cardiomyocytes. The results revealed that Hcn2 transcripts were upregulated by a REST inhibitor (X5050, reducing REST protein level) or Dnmt3b knockdown by shRNAs in cultured E14.5 cardiomyocytes, in which there were high levels of REST and DNMT3B (Figure 4A and Supplementary Figure S2A). In comparison, release of Hcn2 suppression by Dnmt3b shRNA-mediated knockdown was not seen in cultured P1 cardiomyocytes, in which Dnmt3b is expressed at a low baseline level (Figure 4B and Supplementary Figure S2B). Conversely, we found that overexpression of Dnmt3b in P1, but not E14.5, cardiomyocytes suppressed Hcn2 expression. Additionally, we found by immunofluorescence that REST inhibition increased the level of HCN2 in E14.5 cardiomyocytes, whereas overexpression of Dnmt3b had no effect at this stage (Figure 4C). In cultured P1 cardiomyocytes, reduction of REST by X5050 or shRNAs increased the level of HCN2, whereas overexpression of Dnmt3b reduces its basal expression (Figure 4D). These observations support the model that Dnmt3B downregulation causes a release of Hcn2 repression, and non-CpG methylation of the Hcn2-RE1 by DNMT3B maintains Hcn2 repression through increasing or stabilizing REST binding.
Figure 4.

REST and DNMT3B function together to regulate Hcn2 expression in developing ventricular cardiomyocytes. (A and B) qRT-PCR analyses showing that Hcn2 expression in cultured E14.5 or P1 ventricular cardiomyocytes was upregulated by inhibition of REST with X5050. Data are presented as mean ± SD (n = 4) *P < 0.05 compared to the control without treatment (Ctrl) or scrambled shRNA (Ctrl shRNA). (C and D) Immunofluorescence confirming that the level of HCN2 proteins (red) in the cultured E14.5 cardiomyocytes was upregulated by X5050, or Dnmt3b shRNA, whereas in the cultured P1 cardiomyocytes the HCN2 level was increased by X5050, but decreased by DNMT3B overexpression.

REST and DNMT3B function together to regulate Hcn2 expression in developing ventricular cardiomyocytes. (A and B) qRT-PCR analyses showing that Hcn2 expression in cultured E14.5 or P1 ventricular cardiomyocytes was upregulated by inhibition of REST with X5050. Data are presented as mean ± SD (n = 4) *P < 0.05 compared to the control without treatment (Ctrl) or scrambled shRNA (Ctrl shRNA). (C and D) Immunofluorescence confirming that the level of HCN2 proteins (red) in the cultured E14.5 cardiomyocytes was upregulated by X5050, or Dnmt3b shRNA, whereas in the cultured P1 cardiomyocytes the HCN2 level was increased by X5050, but decreased by DNMT3B overexpression. Furthermore, we showed by qRT-PCR that in P1 hearts, compared to cardiomyocytes, cardiac fibroblasts expressed a lower level of Dnmt3a and Hcn2 but a higher level of Dnmt3b (Supplementary Figure S3A). The same cardiac fibroblast cells were tested by bisulfite sequencing, revealing higher levels of non-CpG methylation of the Hcn2-RE1 in comparison to cardiomyocytes (Supplementary Figure S3B). Additionally, expression of Nppb, another known REST-targeted gene (5), shared the same patterns of expression and regulation by REST as Hcn2 (data not shown). Taken together, the results indicate that non-CpG methylation of Hcn2-RE1 by DNMT3B facilities Hcn2 suppression by REST in developing cardiomyocytes. While the suppression is developmentally released in cardiomyocytes, it persists in cardiac fibroblast cells to suppress Hcn2 expression.

REST and DNMT3B are required for Hcn2 suppression in embryonic hearts through non-CpG methylation

To confirm the requirement of REST and DNMT3B for regulating myocardial Hcn2 expression in hearts, we deleted Dnmt3a, Dnmt3b and Rest individually in the myocardium using the Troponin T (Tnt)-Cre transgene (48). The results of Western blot and qRT-PCR analyses showed that these deletions significantly reduced the expression of each of these three genes in the E12.5 ventricle, as expected, and, more importantly, Dnmt3a, Dnmt3b and Rest deletion resulted in significantly increased Hcn2 expression (Figure 5A and B). Of note, deletion of Dnmt3a or Dnmt3b did not affect REST expression. Moreover, qChIP studies and bisulfite sequencing showed that deletion of Dnmt3b, but not Dnmt3a, reduced non-CpG methylation and REST occupancy at the Hcn2-RE1 (Figure 5C and D). qChIP also confirmed that myocardial knockout of Rest diminished REST occupancy at the Hcn2-RE1, but had no effect on DNMT3B binding (Figure 5E). These observations thus provide strong genetic evidence for supporting the model that non-CpG methylation of the Hcn2-RE1 by DNMT3B facilitates REST binding to suppress Hcn2 transcription during heart development.
Figure 5.

REST and DNMT3B were required for developmentally regulated Hcn2 expression in the embryonic hearts. (A) Western blot analysis showing that the levels of DNMT3A, DNMTB, REST and HCN2 proteins in E12.5 ventricles. Quantification assays indicated that the levels of HCN2 proteins are increased in E12.5 ventricles of myocardial deletion of Dnm3a (Dnmt3a KO), Dnmt3b (Dnmt3b KO) or Rest (Rest KO) embryos, *P < 0.05 compared to their corresponding wild type (WT) embryos. (B) qRT-PCR analysis showing that mRNA expression of Hcn2, but not Rest, was increased in E12.5 Dnmt3a or Dnmt3b KO ventricles compared to the WT embryos. (C) ChIP-qPCR showing that the occupancy of the Hcn2-RE1 by REST was decreased in E12.5 by silencing Dnmt3b, but not Dnmt3a, expression. (D) Bisulfite sequencing showing a decrease of non-CpG methylation in the Hcn2-RE1 in E12.5 Dnmt3b KO, but not Dnmt3a KO, ventricles. (E) ChIP-qPCR showing decreased REST occupancy at the Hcn2-RE1 in E12.5 Rest KO ventricles, without any changes in DNMT3B occupancy. Gapdh expression was used as an internal control for qPCR and western blot analyses. Data are presented as mean ± SD, n = 6 for qPCR and n = 8 for bisulfite sequencing analysis. *P < 0.05 compared to WT and calculated using the Student's t-test.

REST and DNMT3B were required for developmentally regulated Hcn2 expression in the embryonic hearts. (A) Western blot analysis showing that the levels of DNMT3A, DNMTB, REST and HCN2 proteins in E12.5 ventricles. Quantification assays indicated that the levels of HCN2 proteins are increased in E12.5 ventricles of myocardial deletion of Dnm3a (Dnmt3a KO), Dnmt3b (Dnmt3b KO) or Rest (Rest KO) embryos, *P < 0.05 compared to their corresponding wild type (WT) embryos. (B) qRT-PCR analysis showing that mRNA expression of Hcn2, but not Rest, was increased in E12.5 Dnmt3a or Dnmt3b KO ventricles compared to the WT embryos. (C) ChIP-qPCR showing that the occupancy of the Hcn2-RE1 by REST was decreased in E12.5 by silencing Dnmt3b, but not Dnmt3a, expression. (D) Bisulfite sequencing showing a decrease of non-CpG methylation in the Hcn2-RE1 in E12.5 Dnmt3b KO, but not Dnmt3a KO, ventricles. (E) ChIP-qPCR showing decreased REST occupancy at the Hcn2-RE1 in E12.5 Rest KO ventricles, without any changes in DNMT3B occupancy. Gapdh expression was used as an internal control for qPCR and western blot analyses. Data are presented as mean ± SD, n = 6 for qPCR and n = 8 for bisulfite sequencing analysis. *P < 0.05 compared to WT and calculated using the Student's t-test.

Non-CpG methylation at RE1s influences genome-wide REST binding to repress gene expression in the developing heart

To test whether non-CpG methylation of RE1s is required for repression of REST targets other than Hcn2 in the developing heart, we performed RNA-seq analysis of E12.5 wild type (WT) and Rest knockout (KO) ventricles to identify genes repressed by REST, and then investigated whether their expression was also dependent on DNMT3B and non-CpG methylation at their local RE1s. The RNA-seq results showed that the expression levels of 134 genes were significantly REST-dependent (FDR < 0.05) (Figure 6A, Dataset S1; GEO:GSE80378). The vast majority (127 of 134, 94.7%) of the differentially expressed genes (DEGs) were upregulated in the REST-inactivated ventricles, consistent with REST acting as transcriptional repressor. Gene function analysis revealed that REST-suppressed genes in embryonic hearts were enriched for the known functions of REST-targeted genes (11,12,44), including neurotransmission, neuronal development, and seizure-associated properties (Figure 6B). The analysis also found enrichments of DEGs for metal ion transport, cerebrovascular dysfunction, myocardial infarction, cell cycle and ventricular arrhythmia, which are properties related to heart development and function. To demonstrate whether those DEGs are direct REST targets, we used HOMER (49) to analyze transcription factor binding motifs in their promoters and found that the consensus RE1 sequence (Figure 6C) is the only significantly enriched motif, present in 29.4% of the promoters of DEGs, compared with 2.1% of the promoters of non-DEGs (Benjamini corrected P < 0.0001, Fisher's test). We then reanalyzed REST ChIP-seq data from the mouse embryonic stem cells (44) and found that our DEGs are significantly more likely to be bound by REST than non-DEGs, both at promoters (odds ratio (OR) = 24.89, P < 2.2e−16, Fisher's exact test) and at distal regulation regions (OR = 8.28, P < 2.2e−16) (Figure 6D). These results support that the majority of our DEGs are likely to be directly regulated by REST.
Figure 6.

Many REST targets are co-regulated by DNMT3B through non-CpG methylation. (A) A volcano plot shows differential gene expression between E12.5 WT and Rest KO ventricles. Red and green dots represent significantly upregulated and downregulated genes in the KO, respectively (FDR < 0.05). (B) Enriched function terms in differentially expressed genes. (C) The only motif enriched in the promoters of DEGs (versus non-DEGs) was the consensus RE1 motif. (D) Significantly greater fractions of DEGs contained REST ChIP-seq peaks (from mouse embryonic stem cells, ESCs) in their promoters and distal regulator regions than non-DEGs. (E) Diagram showing the procedure and result for identifying the REST-suppressed genes that were also regulated by non-CpG methylation and DNMT3B. ↑ for upregulation, ↓ for downregulation. (F) Bisulfite sequencing showing decreased non-CpG methylation of REST sites in all six randomly selected REST/DNMT3 co-regulated genes (from 41 genes) in E12.5 Dnmt3b KO ventricles compared with WT ventricles.

Many REST targets are co-regulated by DNMT3B through non-CpG methylation. (A) A volcano plot shows differential gene expression between E12.5 WT and Rest KO ventricles. Red and green dots represent significantly upregulated and downregulated genes in the KO, respectively (FDR < 0.05). (B) Enriched function terms in differentially expressed genes. (C) The only motif enriched in the promoters of DEGs (versus non-DEGs) was the consensus RE1 motif. (D) Significantly greater fractions of DEGs contained REST ChIP-seq peaks (from mouse embryonic stem cells, ESCs) in their promoters and distal regulator regions than non-DEGs. (E) Diagram showing the procedure and result for identifying the REST-suppressed genes that were also regulated by non-CpG methylation and DNMT3B. ↑ for upregulation, ↓ for downregulation. (F) Bisulfite sequencing showing decreased non-CpG methylation of REST sites in all six randomly selected REST/DNMT3 co-regulated genes (from 41 genes) in E12.5 Dnmt3b KO ventricles compared with WT ventricles.

DNMT3B and REST co-regulate expression of REST targets in early embryonic hearts

We next identified the genes co-regulated by REST and DNMT3B in the developing heart using qRT-PCR assays on E12.5 ventricles from either myocardial Rest or Dnmt3b null embryos. Of the 134 DEGs from the RNA-seq results, qRT-PCR confirmed the differential expression of 110 genes (82.1%) in E12.5 myocardial Rest null (Figure 6E & Supplementary Table S5) and 77 genes (57.5%) in Dnmt3b null ventricles. Together, the results indicate that, of the 110 confirmed REST-suppressed genes, 68 (61.8%) genes were co-regulated by DNMT3B, whereas 42 genes seemed to be regulated by REST only. Of the 68 genes confirmed to have differential expression in both Rest KO and Dnmt3b KO animals, 61 were upregulated in expression (Figure 6E). Of note, each of these 68 co-regulated genes contains one or more putative RE1s that overlap with REST peaks from ChIP-seq data of mouse embryonic stem cells (44). To test the effect of DNMT3B loss on REST occupancy of the RE1s at these 68 co-regulated genes, we performed qChIP and found that in 41 of the 68 genes, REST binding to their putative RE1s was significantly reduced by knockout of Dnmt3b but not Dnmt3a (Supplementary Table S6). To further test if the non-CpGs in these RE1s were methylated, we randomly selected 6 of the 41 REST/DNMT3B co-targeted genes, including neuronal (Syn1, Snap25 and Unc5a) and cardiac genes (Nppb, Kcnb1 and Fgf12), for bisulfite sequencing analysis of their RE1s and flanking sequences. The results showed that, as with Hcn2, non-CpG methylation of the RE1s at these 6 genes was constitutively high in wild type conditions and significantly decreased by the Dnmt3b knockout (Figure 6F & Supplementary Table S7). As controls, no changes in DNA methylation were detected for two randomly selected genes (Mapk8ip1 and Gabrb3), whose expression was only dependent on REST (Supplementary Figure S4 & Table S7). The results thus indicate that non-CpG methylation of RE1s by DNMT3B is likely to be a general mechanism for regulating a subset of REST targets throughout the mouse genome in the developing heart.

REST and DNMT3B co-regulate temporal gene expression in developing hearts

The above genetic studies compared wild type and mutant embryos at specific time points. To further support that REST and DNMT3B co-regulation has a development role in the dynamic expression of their targets during normal heart maturation, we profiled the developmental expression of the 110 REST regulated genes (confirmed by qRT-PCR) using microarray data from a previous report (45), which quantified gene expression of mouse hearts (or ventricles) at multiple developmental stages [E10.5, E12.5, E14.5, E16.5, E18.5, P10, P10W (postnatal 10 weeks) and P13W]. Of the 110 genes, 63 were represented in the pre-processed microarray data, including 35 shown to be co-regulated by REST and DNMT3B in our above analysis. As we observed for Hcn2 (Figure 1), the expression of the majority of the 35 REST and DNMT3B co-regulated genes increased at late gestation, at E18.5 and after birth (Supplementary Figure S5). In contrast, the group of 28 genes whose expression was regulated by REST but not DNMT3B exhibited two patterns, with one cluster (n = 11) displaying negative expression correlations (low in early and high in later stages, referred as ‘REST only reg-up’) and the other (n = 17) positive correlations with Rest expression (‘REST only reg-down’) (Supplementary Figure S5). Examining the average fold-change (compared with E10.5) at individual stages for the three groups of REST targets (Figure 7A), we found that genes in the ‘REST only reg-up’ group did not change their expression very much during the prenatal stages (E10.5–E18.5), but were significantly upregulated postnatally from P10, in a trend concurrent with the timing of postnatal downregulation of REST expression (Figure 1), indicating that the expression of these genes is likely to be directly repressed by REST during normal heart development. The expression of the ‘REST only reg-down’ group, in contrast, decreased their expression gradually from E10.5 to E16.5, but then became stably low up to P13 weeks, suggesting that REST is probably not the major regulator of their expression. More interestingly, for REST and DNMT3B co-regulated genes (‘REST and DNMT3B co-reg’), their expression started to increase at the late stages between E16.5 and E18.5, which was coincident with the downregulation of DNMT3B, as determined by western blot analysis (Figure 7B). Their expression then continued to increase by P10, which was again coincident with the downregulation of REST (Figure 7A and B). Note that Rest expression is subject to post-transcriptional regulation (50,51) and therefore protein level is a better approximation of its regulatory function than mRNA abundance. These results suggest that the suppression of the REST/DNMT3B co-regulated targets is released earlier than that of the REST-only targets. Overall, the results support that REST and DNMT3B co-regulate a group of genes during heart development and myocardial maturation, potentially through modulating the DNA methylation levels of the non-CpGs in the REST-binding sites of these genes, thus revealing a critical role of non-CpG methylation in heart maturation (Figure 7C).
Figure 7.

Developmental expression profiles of REST and DNMT3B regulated genes in mouse embryonic and adult hearts. (A) Average expression changes for the three groups of REST-regulated genes as described in Supplemental Figure S5. For each gene and each stage, expression change was calculated in relation to E10.5 data. The fold changes were averaged within each group and shown on the y-axis as log2 (fold change) ± SEM. E12.5 to E18.5 were microarray data for ventricles and the rest were for whole hearts. (B) Developmental expression patterns of REST and DNMT3B proteins, as determined by western blot analysis. Data are mean ± SD (n = 3–6 per stage). (C) A schematic model showing the activation of REST/DNMT3B co-regulated targets occurs before the activation of genes suppressed by REST only during heart development. Three small boxes are used to depict only the temporal reduction of non-CpG methylation in RE1s of REST targets, and not for illustrating the contribution of any specific non-CpGs.

Developmental expression profiles of REST and DNMT3B regulated genes in mouse embryonic and adult hearts. (A) Average expression changes for the three groups of REST-regulated genes as described in Supplemental Figure S5. For each gene and each stage, expression change was calculated in relation to E10.5 data. The fold changes were averaged within each group and shown on the y-axis as log2 (fold change) ± SEM. E12.5 to E18.5 were microarray data for ventricles and the rest were for whole hearts. (B) Developmental expression patterns of REST and DNMT3B proteins, as determined by western blot analysis. Data are mean ± SD (n = 3–6 per stage). (C) A schematic model showing the activation of REST/DNMT3B co-regulated targets occurs before the activation of genes suppressed by REST only during heart development. Three small boxes are used to depict only the temporal reduction of non-CpG methylation in RE1s of REST targets, and not for illustrating the contribution of any specific non-CpGs.

DISCUSSION

The current study addresses how REST and DNMT3B function coordinately to suppress the expression of adult genes in early developing mouse hearts and release their repression at a later developmental period. Collectively, our results demonstrate that ∼60% of REST-targeted genes in the embryonic heart are controlled at least partially by DNMT3B. Furthermore, for 41 of these 68 REST target genes, REST occupancy at their RE1s is likely to be facilitated by DNMT3B, whose function appears to involve depositing non-CpG methylation locally. The findings support a previously unappreciated model of REST suppression of gene expression in the developing heart by using both DNMT3B and non-DNMT3B dependent mechanisms, as illustrated in Figure 7C. Consistent with the observations of higher REST expression during early stages of neuronal differentiation (10), we found that REST is expressed at high levels in developing mouse hearts to repress the cardiac expression of its target gene Hcn2 prior to E14.5. We found that, despite high levels of REST expression between E18.5 and P1, Hcn2 expression starts at E12.5 and reaches a sustained high level from P1 onward, indicating that additional levels of regulation exist to allow derepression of REST targets during later cardiac development and maturation (prior to P1). Our study of this derepression points to a role of Dnmt3b (but not Dnmt3a), as Dnmt3b downregulation is associated with earlier increased expression of Hcn2. We tested these findings using multiple complementary assays, which revealed that non-CpG methylation of the Hcn2-RE1 was dependent on DNMT3B, and that DNMT3B promoted REST binding to the Hcn2-RE1 to suppress Hcn2 transcription. All together, our findings provide the first evidence that DNMT3B is required for non-CpG methylation at the functional RE1 sequences of essential cardiac genes, which in turn facilitates REST binding and gene repression. Two research groups have previously examined the relationship between REST binding and DNA methylation. In non-neuronal cells, hypermethylation (in the CpG context) was observed at REST binding sites and the recruitment of DNMT1 by REST was proposed to be a potential cause (10,12). In mouse embryonic stem cells and neuronal stem cells, Schübeler et al. found that REST, like CTCF, binds to DNA to create low methylated regions (LMRs), and that Rest KO resulted in an increase of local DNA methylation (46,47). Consistent with these findings, we also observed that the CpG in the Hcn2-RE1 (Figure 1E) and the RE1s of other REST targets, as well as the CpGs flanking these RE1s exhibited hypomethylation (5∼30%) (Figure 6F & Supplementary Table S3). The CpG methylation flanking the Hcn2-RE1 was slightly increased from E12.5 to E18.5 and P1 (Figure 1E). However, we found that non-CpG methylation at RE1s specifically facilitates REST binding to its targets in the developing mouse heart. Since the previous studies did not consider non-CpG methylation, it was not tested whether there is a difference in methylation between non-CpGs and CpGs within RE1s in the stem cells studied. It is nevertheless conceivable that the seemingly discrepancy could be a result of continuous crosstalk between transcription factor binding and local DNA methylation. Putting this in the content of REST function, it is possible that non-CpG methylation facilitates REST binding to RE1 sites, and then DNA methylation in the REST-bound regions may be subsequently increased or decreased in a context-specific manner, depending on whether methyltransferases or demethylases are recruited to or blocked by REST occupancy at individual sites. Consistent with this, 5-hydroxymethlcytosine (5hmC) was found to be enriched at the REST binding site, and Rest deletion led to a decrease of 5hmC and a concomitant increase of DNA methylation at the REST binding sites (47). This scenario, however, does not address how DNMT3B is recruited to RE1s for methylating the non-CpGs, a critical question that remains to be addressed in the future. On the other hand, CpA methylation was previously reported to promote Mecp2 (methyl CpG binding protein 2) binding to its targets (52). Our current results show that hypermethylation of non-CpGs (mostly CpAs), known to have a relatively higher affinity for DNMT3B than DNMT3A (53), within RE1s enhances REST binding (Figures 1E–G and 5F). It will therefore be interesting to address in the future whether this dynamic pattern of DNA methylation is different between non-CpG and CpG cytosines in a tissue and/or stage specific manner, and how the DNA methylation changes influence the functions of REST and other transcription factors during development. Our results indicate that DNMT3B-regulated REST repression plays a critical role in suppressing Hcn2 transcription during earlier embryonic heart development, whereas later in development, downregulation of DNMT3B releases such suppression to allow HCN2 to become the major channel expressed in the cardiomyocytes of the mature heart. Therefore, our study reveals a previous unknown developmental and molecular mechanism that drives Hcn2 transcription to become the primary HCN protein in the adult heart (8). Our genome-wide analysis further showed that many other key genes important for adult heart functions are likely regulated in a manner similar to Hcn2 by REST and DNMT3B through the dynamic change of non-CG methylation in the RE1s of REST targets. The dynamic interaction between REST binding and DNA methylation is probably critical, as the adult cardiac genes need to be repressed in early embryonic stage but then derepressed later. Recent genome-wide DNA methylation studies have indicated that non-CpG methylation (mostly in the CpA context, but with contributions from CpTs and CpCs) is abundant in embryonic stem cells, but decreases during tissue development and differentiation (17,27,28), with the exception of tissues like adult brains, in which non-CpG methylation may reach as high as 25% of all cytosine methylation (52,54). Since high expression of DNMT3A and DNMT3B can be associated with high levels of non-CpG methylation (27), and the deletion of Dnmt3a and Dnmt3b results in hypomethylation of non-CpG cytosines (28), non-CpG methylation has suggested to be mainly controlled by the activities of DNMT3A and DNMT3B (27,28). This model is consistent with our results. The functional importance of non-CpG methylation in mammalian cells remains to be fully studied, but evidence for its role in the regulation of several genes has been established. For instance, an increase of non-CpG methylation in the PPARGC1A promoter was induced by an exposure of skeletal muscle cells to TNF-alpha or free fatty acids, and associated with the downregulation of PPARGC1A expression (54). Likewise, Chen et al. (55) showed that non-CpG hypermethylation occurred preferentially in a subgroup of genes (e.g. Bdnf) important for brain development, whereas CpG methylation showed relatively less change. MeCP2, a transcription factor whose mutation leads to Rett syndrome, also binds to non-CG (CA) methylated DNA and regulates gene expression as neurons mature (52,55). For developing hearts, Gilsbach et al. have recently reported a large number of genomic regions to be differentially DNA methylated during development and maturation of cardiomyocytes (14). In particular, de novo methylation by DNMT3A/B causes repression of fetal cardiac genes, whereas demethylation of cardiomyocyte gene bodies is correlated with increased expression during cardiac development (14). In this study, we extend these observations by showing a critical role of non-CpG methylation in the suppression of REST targets in developing hearts. We have focused here on the roles of DNMT3B and non-CpG methylation in modulating the repression of REST targets. As shown in Figure 7 and Supplementary Figure S5, the expression of some REST targets identified from our RNA-seq analysis and qRT-PCR validation did not show a negative expression correlation with REST during normal heart development. Some of them are neural genes (e.g. Ache and Nefl), whose low expression in adult hearts is perhaps repressed by epigenetic mechanisms that involve REST only in early developmental stages, as previously proposed (10). Interestingly, a few genes exhibit a bimodal expression pattern, with high expression in both early embryonic and adult hearts. It is, however, unclear whether this is related to functional importance of those genes in two developmental stages. As we used microarray data from previous publication (45), which itself was derived from multiple studies using different platforms, tissues or cells, these results need more careful follow-up studies, including the seeming difference between P10D and P13W expression for several REST targets. In summary, our study highlights a new paradigm of transcriptional regulation critical for cardiac development and maturation that is controlled by the interaction of REST, DNMT3B and non-CpG methylation. As disruptions of the normal temporal expression of cardiac genes during development underlie a number of heart diseases, our findings provide new insights into potential mechanisms that can lead to the disruptions. Click here for additional data file.
  55 in total

1.  DNA-binding factors shape the mouse methylome at distal regulatory regions.

Authors:  Michael B Stadler; Rabih Murr; Lukas Burger; Robert Ivanek; Florian Lienert; Anne Schöler; Erik van Nimwegen; Christiane Wirbelauer; Edward J Oakeley; Dimos Gaidatzis; Vijay K Tiwari; Dirk Schübeler
Journal:  Nature       Date:  2011-12-14       Impact factor: 49.962

2.  MeCP2 binds to non-CG methylated DNA as neurons mature, influencing transcription and the timing of onset for Rett syndrome.

Authors:  Lin Chen; Kaifu Chen; Laura A Lavery; Steven Andrew Baker; Chad A Shaw; Wei Li; Huda Y Zoghbi
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-13       Impact factor: 11.205

3.  Non-CpG methylation is prevalent in embryonic stem cells and may be mediated by DNA methyltransferase 3a.

Authors:  B H Ramsahoye; D Biniszkiewicz; F Lyko; V Clark; A P Bird; R Jaenisch
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

4.  Age-related down-regulation of HCN channels in rat sinoatrial node.

Authors:  Xin Huang; Pei Yang; Yuan Du; Junbo Zhang; Aiqun Ma
Journal:  Basic Res Cardiol       Date:  2007-06-18       Impact factor: 17.165

5.  An essential role of Bmp4 in the atrioventricular septation of the mouse heart.

Authors:  Kai Jiao; Holger Kulessa; Kevin Tompkins; Yingna Zhou; Lorene Batts; H Scott Baldwin; Brigid L M Hogan
Journal:  Genes Dev       Date:  2003-09-15       Impact factor: 11.361

6.  SCFbeta-TRCP controls oncogenic transformation and neural differentiation through REST degradation.

Authors:  Thomas F Westbrook; Guang Hu; Xiaolu L Ang; Peter Mulligan; Natalya N Pavlova; Anthony Liang; Yumei Leng; Rene Maehr; Yang Shi; J Wade Harper; Stephen J Elledge
Journal:  Nature       Date:  2008-03-20       Impact factor: 49.962

7.  The interaction of mycobacterial protein Rv2966c with host chromatin is mediated through non-CpG methylation and histone H3/H4 binding.

Authors:  Garima Sharma; Sandeep Upadhyay; M Srilalitha; Vinay K Nandicoori; Sanjeev Khosla
Journal:  Nucleic Acids Res       Date:  2015-03-30       Impact factor: 16.971

8.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

9.  Control of chromosome stability by the beta-TrCP-REST-Mad2 axis.

Authors:  Daniele Guardavaccaro; David Frescas; N Valerio Dorrello; Angelo Peschiaroli; Asha S Multani; Timothy Cardozo; Anna Lasorella; Antonio Iavarone; Sandy Chang; Eva Hernando; Michele Pagano
Journal:  Nature       Date:  2008-03-20       Impact factor: 49.962

10.  Accumulation and loss of asymmetric non-CpG methylation during male germ-cell development.

Authors:  Tomoko Ichiyanagi; Kenji Ichiyanagi; Miho Miyake; Hiroyuki Sasaki
Journal:  Nucleic Acids Res       Date:  2012-11-23       Impact factor: 16.971

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Journal:  Cell Death Dis       Date:  2021-05-20       Impact factor: 8.469

Review 2.  Epigenomes in Cardiovascular Disease.

Authors:  Manuel Rosa-Garrido; Douglas J Chapski; Thomas M Vondriska
Journal:  Circ Res       Date:  2018-05-25       Impact factor: 17.367

3.  Discriminating Origin Tissues of Tumor Cell Lines by Methylation Signatures and Dys-Methylated Rules.

Authors:  Shiqi Zhang; Tao Zeng; Bin Hu; Yu-Hang Zhang; Kaiyan Feng; Lei Chen; Zhibin Niu; Jianhao Li; Tao Huang; Yu-Dong Cai
Journal:  Front Bioeng Biotechnol       Date:  2020-05-26

4.  Changes of N6-methyladenosine modulators promote breast cancer progression.

Authors:  Lianpin Wu; Dengying Wu; Jinfeng Ning; Wei Liu; Donghong Zhang
Journal:  BMC Cancer       Date:  2019-04-05       Impact factor: 4.430

5.  m6A modification promotes miR-133a repression during cardiac development and hypertrophy via IGF2BP2.

Authors:  Benheng Qian; Ping Wang; Donghong Zhang; Lianpin Wu
Journal:  Cell Death Discov       Date:  2021-06-26

6.  REST regulates the cell cycle for cardiac development and regeneration.

Authors:  Donghong Zhang; Yidong Wang; Pengfei Lu; Ping Wang; Xinchun Yuan; Jianyun Yan; Chenleng Cai; Ching-Pin Chang; Deyou Zheng; Bingruo Wu; Bin Zhou
Journal:  Nat Commun       Date:  2017-12-07       Impact factor: 14.919

Review 7.  A Lexicon of DNA Modifications: Their Roles in Embryo Development and the Germline.

Authors:  Qifan Zhu; Reinhard Stöger; Ramiro Alberio
Journal:  Front Cell Dev Biol       Date:  2018-03-27

Review 8.  DNA Methyltransferases, DNA Methylation, and Age-Associated Cognitive Function.

Authors:  Di Cui; Xiangru Xu
Journal:  Int J Mol Sci       Date:  2018-04-28       Impact factor: 5.923

9.  Chromosome 19 miRNA cluster and CEBPB expression specifically mark and potentially drive triple negative breast cancers.

Authors:  Goodwin G Jinesh; Elsa R Flores; Andrew S Brohl
Journal:  PLoS One       Date:  2018-10-18       Impact factor: 3.240

10.  MethMotif: an integrative cell specific database of transcription factor binding motifs coupled with DNA methylation profiles.

Authors:  Quy Xiao Xuan Lin; Stephanie Sian; Omer An; Denis Thieffry; Sudhakar Jha; Touati Benoukraf
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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