Genome-Wide DNA Methylation Analysis Shows Enrichment of Differential Methylation in “Open Seas” and Enhancers and Reveals Hypomethylation in DNMT3A Mutated Cytogenetically Normal AML (CN-AML)

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 653-653 ◽  
Author(s):  
Ying Qu ◽  
Andreas Lennartsson ◽  
Verena I. Gaidzik ◽  
Stefan Deneberg ◽  
Sofia Bengtzén ◽  
...  

Abstract Abstract 653 DNA methylation is involved in multiple biologic processes including normal cell differentiation and tumorigenesis. In AML, methylation patterns have been shown to differ significantly from normal hematopoietic cells. Most studies of DNA methylation in AML have previously focused on CpG islands within the promoter of genes, representing only a very small proportion of the DNA methylome. In this study, we performed genome-wide methylation analysis of 62 AML patients with CN-AML and CD34 positive cells from healthy controls by Illumina HumanMethylation450K Array covering 450.000 CpG sites in CpG islands as well as genomic regions far from CpG islands. Differentially methylated CpG sites (DMS) between CN-AML and normal hematopoietic cells were calculated and the most significant enrichment of DMS was found in regions more than 4kb from CpG Islands, in the so called open sea where hypomethylation was the dominant form of aberrant methylation. In contrast, CpG islands were not enriched for DMS and DMS in CpG islands were dominated by hypermethylation. DMS successively further away from CpG islands in CpG island shores (up to 2kb from CpG Island) and shelves (from 2kb to 4kb from Island) showed increasing degree of hypomethylation in AML cells. Among regions defined by their relation to gene structures, CpG dinucleotide located in theoretic enhancers were found to be the most enriched for DMS (Chi χ2<0.0001) with the majority of DMS showing decreased methylation compared to CD34 normal controls. To address the relation to gene expression, GEP (gene expression profiling) by microarray was carried out on 32 of the CN-AML patients. Totally, 339723 CpG sites covering 18879 genes were addressed on both platforms. CpG methylation in CpG islands showed the most pronounced anti-correlation (spearman ρ =-0.4145) with gene expression level, followed by CpG island shores (mean spearman rho for both sides' shore ρ=-0.2350). As transcription factors (TFs) have shown to be crucial for AML development, we especially studied differential methylation of an unbiased selection of 1638 TFs. The most enriched differential methylation between CN-AML and normal CD34 positive cells were found in TFs known to be involved in hematopoiesis and with Wilms tumor protein-1 (WT1), activator protein 1 (AP-1) and runt-related transcription factor 1 (RUNX1) being the most differentially methylated TFs. The differential methylation in WT 1 and RUNX1 was located in intragenic regions which were confirmed by pyro-sequencing. AML cases were characterized with respect to mutations in FLT3, NPM1, IDH1, IDH2 and DNMT3A. Correlation analysis between genome wide methylation patterns and mutational status showed statistically significant hypomethylation of CpG Island (p<0.0001) and to a lesser extent CpG island shores (p<0.001) and the presence of DNMT3A mutations. This links DNMT3A mutations for the first time to a hypomethylated phenotype. Further analyses correlating methylation patterns to other clinical data such as clinical outcome are ongoing. In conclusion, our study revealed that non-CpG island regions and in particular enhancers are the most aberrantly methylated genomic regions in AML and that WT 1 and RUNX1 are the most differentially methylated TFs. Furthermore, our data suggests a hypomethylated phenotype in DNMT3A mutated AML. Disclosures: No relevant conflicts of interest to declare.

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 3618-3618
Author(s):  
Marwa Saied ◽  
Sabah Khaled ◽  
Thomas Down ◽  
Jacek Marzec ◽  
Paul Smith ◽  
...  

Abstract Abstract 3618 DNA methylation is the most stable epigenetic modification and has a major role in cancer initiation and progression. The two main aims for this research were, firstly, to use the genome wide analysis of DNA methylation to better understand the development of acute myeloid leukemia (AML). The second aim was to detect differentially methylated genes/regions between certain subtypes of AML and normal bone marrow (NBM). We used the methylated DNA immunoprecipitation technique followed by high-throughput sequencing by Illumina Genome Analyser II (MeDIP -seq) for 9 AML samples for which ethical approval has been obtained. The selected leukemias included three with the t(8; 21), three with the t(15; 17) translocations and three with normal karyotypes (NK). The control samples were 3 normal bone marrows (NBMs) from healthy donors. The number of reads generated from Illumina ranged between 18– 20 million paired-end reads/lane with a good base quality from both ends (base quality > 30 represented 75%-85% of reads). The reads were aligned using 2 algorithms (Maq and Bowtie) and the methylation analysis was performed by Batman software (Bayesian Tool for Methylation Analysis). The creation of this genome-wide methylation map for AML permits the examination of the patterns for key genetic elements. Investigation of the 35,072 promoter regions identified 80 genes, which showed a significant differential methylation levels in leukemic cases in comparison to NBM; consistently high methylation levels in leukaemia were detected in the promoters of 70 genes e.g. DPP6, ID4, DCC, whereas high methylation levels in NBM, lost in leukaemia was observed in 10 genes e.g. ATF4. For each AML subtype, we also identified significant differentially methylated promoter regions e.g. PAX1 for t(8; 21), GRM7 for t(15; 17), NPM2 for NK. An analysis of gene body methylation identified 49 genes with significantly higher methylation in AML in comparison to NBM e.g. MYOD1 and 31 genes with a higher methylation in NBMs than AML e.g. GNG8. A similar analysis of 23,600 CpG islands identified 400 CpG islands with significant differential methylation levels between leukaemia and NBMs (212 CpG islands were found to have significantly increased methylation in leukaemia and 188 CpG islands had significantly higher methylation in NBMs). The pattern of methylation in CpG island “shores” (2 KB from either side of each CpG island) has been investigated and 312 CpG island shores showed a higher methylation in leukaemia and 88 CpG shores had a significant increase methylation levels in NBMs. This genome wide methylation map has been validated by using direct bisulfite sequencing of the regions identified above (Spearman r= 0.8, P <0.0001) and also by using Illumina Infinium assay (Spearman r= 0.7 P <0.0001) which interrogates regions at single representative CpGs. Comparison of previous array based gene expression data with this methylation map revealed a significant negative correlation between promoter methylation and gene expression (Pearson r= -0.9, P< 0.0001) while, gene body methylation showed a small negative correlation with gene expression, that was found in genes of CpG density >3% (Pearson r= -0.3, P< 0.0001). Conclusion: we have established a high-resolution (100bp) map of DNA methylation in AML and thus identified a novel list of genes, which have significantly differential methylation levels in AML. Disclosures: No relevant conflicts of interest to declare.


2020 ◽  
Vol 21 (12) ◽  
pp. 4476
Author(s):  
Marcela A S Pinhel ◽  
Natália Y Noronha ◽  
Carolina F Nicoletti ◽  
Vanessa AB Pereira ◽  
Bruno AP de Oliveira ◽  
...  

Weight regulation and the magnitude of weight loss after a Roux-en-Y gastric bypass (RYGB) can be genetically determined. DNA methylation patterns and the expression of some genes can be altered after weight loss interventions, including RYGB. The present study aimed to evaluate how the gene expression and DNA methylation of PIK3R1, an obesity and insulin-related gene, change after RYGB. Blood samples were obtained from 13 women (35.9 ± 9.2 years) with severe obesity before and six months after surgical procedure. Whole blood transcriptome and epigenomic patterns were assessed by microarray-based, genome-wide technologies. A total of 1966 differentially expressed genes were identified in the pre- and postoperative periods of RYGB. From these, we observed that genes involved in obesity and insulin pathways were upregulated after surgery. Then, the PIK3R1 gene was selected for further RT-qPCR analysis and cytosine-guanine nucleotide (CpG) sites methylation evaluation. We observed that the PI3KR1 gene was upregulated, and six DNA methylation CpG sites were differently methylated after bariatric surgery. In conclusion, we found that RYGB upregulates genes involved in obesity and insulin pathways.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Tong Wang ◽  
Weijing Wang ◽  
Weilong Li ◽  
Haiping Duan ◽  
Chunsheng Xu ◽  
...  

Abstract Background Previous studies have determined the epigenetic association between DNA methylation and pulmonary function among various ethnics, whereas this association is largely unknown in Chinese adults. Thus, we aimed to explore epigenetic relationships between genome-wide DNA methylation levels and pulmonary function among middle-aged Chinese monozygotic twins. Methods The monozygotic twin sample was drawn from the Qingdao Twin Registry. Pulmonary function was measured by three parameters including forced expiratory volume the first second (FEV1), forced vital capacity (FVC), and FEV1/FVC ratio. Linear mixed effect model was used to regress the methylation level of CpG sites on pulmonary function. After that, we applied Genomic Regions Enrichment of Annotations Tool (GREAT) to predict the genomic regions enrichment, and used comb-p python library to detect differentially methylated regions (DMRs). Gene expression analysis was conducted to validate the results of differentially methylated analyses. Results We identified 112 CpG sites with the level of P < 1 × 10–4 which were annotated to 40 genes. We identified 12 common enriched pathways of three pulmonary function parameters. We detected 39 DMRs located at 23 genes, of which PRDM1 was related to decreased pulmonary function, and MPL, LTB4R2, and EPHB3 were related to increased pulmonary function. The gene expression analyses validated DIP2C, ASB2, SLC6A5, and GAS6 related to decreased pulmonary function. Conclusion Our DNA methylation sequencing analysis on identical twins provides new references for the epigenetic regulation on pulmonary function. Several CpG sites, genes, biological pathways and DMRs are considered as possible crucial to pulmonary function.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 3736-3736
Author(s):  
Huimin Geng ◽  
Mignon L. Loh ◽  
Richard C. Harvey ◽  
I-Ming Chen ◽  
Meenakshi Devidas ◽  
...  

Abstract Although survival of children with B-cell acute lymphoblastic leukemia (B-ALL) has improved substantially over time, 15% to 20% of patients will relapse, and most of those who experience a bone marrow relapse will die. A better understanding of genetic and epigenetic aberrations in relapsed ALL will facilitate new strategies for risk stratification and targeted therapy. In this collaborative study with the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) project, we performed high resolution genome-wide DNA methylation profiling using the HELP (HpaII tiny fragment Enrichment by Ligation-mediated PCR) array on a total of 178 (110 diagnosis, 68 relapse) leukemia samples from 111 patients with childhood B-ALL enrolled on the Children’s Oncology Group (COG) clinical trials who experienced relapsed, and 12 normal preB samples isolated from the bone marrows of 12 healthy individuals. The HELP array covers 117,521 CpG sites, annotated to ∼22,000 gene promoters. For eight diagnosis/relapse pairs, base-pair resolution DNA methylation using the eRRBS (enhanced Reduced Representation Bisulfite Sequencing) method was also performed on Illumina HiSeq2000. The median relapse time for the 111 patients was 21.8 months (range 2.1 to 56.2). Unsupervised clustering analysis using the HELP data revealed seven clusters: one cluster contained only the 12 normal preB samples; four clusters were enriched with MLLr, ETV6/RUNX1, Trisomy 4+10, and TCF3/PBX1 samples, respectively. The sixth cluster was not enriched for specific cytogenetic cases, but interestingly, all cases in this cluster were NCI High Risk (age>10 years or WBC>=50,000; p<0.0001, Fisher’s Exact test) while the seventh cluster has a mixture of other cases. Supervised analysis of HELP profiles between paired relapse/diagnosis samples (n=67) revealed a markedly aberrant DNA methylation signature (1011 probesets, 888 genes, FDR<0.01 and methylation difference dx >25%, paired t-test), with 70% of the genes hyper- and 30% hypo-methylated in relapse samples. Using a Bayesian predictor and leave-one-out cross validation, this methylation signature could predict a sample as diagnosis or relapse with 95.3% accuracy. When comparing early (<36 months; n=50) versus late relapses (>=36 months; n=18), we detected a profound hypermethylation signature in early relapse (96.6% of the 610 probesets, 544 genes, FDR<0.01, dx >25%). Finally, we identified 1800 probesets (1658 genes) as differentially methylated within all cytogenetic subtypes described above compared to the normal preB samples (Dunnett’s test with normal preB as reference, FDR<0.01, dx>25%). Again the majority (70%) of those genes were hypermethylated in relapse as compared to diagnostic and normal preB. The base-pair resolution and more comprehensive eRRBS methylation analysis for the eight pairs of samples identified 39,679 CpG sites as differentially methylated (dx >25%, FDR<0.01), with 78.2% CpG sites hyper- and 21.2% hypo-methylated in relapse samples. Remarkably, the hypermethylated CpGs are primarily in promoter regions (50%, defined as +/-1kb to TSS), followed by intergenic (26%), then intragenic (14%), and exonic (10%) regions. In contrast, the hypomethylated CpGs are mainly in intragenic (48%), followed by intergenic (31%), exonic (14%) and promoter (7%) regions. The hypermethylated CpGs were mainly in CpG islands (86%) or CpG shores (10%), while hypomethylated CpGs were not (CpG islands: 8%, CpG shores: 27%). We further identified 3040 differentially methylated regions (DMRs) with a median size 426 bp. 78.4% of those DMRs were hyper- (1362 gene promoters) and 21.6% hypo-methylated (98 promoters) in relapse compared to diagnostic samples. Gene set enrichment and Ingenuity pathway analysis showed epigenetically disrupted pathways that are highly involved in cell signaling, and embryonic and organismal development. Taken together, our genome-wide high resolution DNA methylation analysis on a large cohort of relapsed childhood B-ALL from the COG trial identified unique methylation signatures that correlated with relapse and with specific genetic subsets. Those methylation signatures featured prevailing promoter hypermethylation and to a lesser extent, intrageneic hypomethylation. Epigenetically dysregulated gene networks in those relapse samples involved cell signaling, and embryonic and organismal development. Disclosures: No relevant conflicts of interest to declare.


2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi2-vi2
Author(s):  
Aram Modrek ◽  
David Byun ◽  
Ravesanker Ezhilarasan ◽  
Matija Snuderl ◽  
Erik Sulman

Abstract PURPOSE/OBJECTIVE(S) In glioblastoma, DNA methylation states are the most predictive marker of overall survival and response to therapy. Our understanding of how epigenetic states, such as DNA methylation, are “mis-repaired” after DNA damage repair is scant, hampering our ability to understand how treatment associated DNA methylation alterations may drive tumor resistance and growth. MATERIALS AND METHODS Three different patient derived IDH wild-type glioma stem cell (GSC) lines, in duplicates, were treated with radiation (20 Gray in 10 fractions vs. sham control) and allowed to recover prior to DNA methylation analysis with 850K methylation arrays. To analyze the methylation array data via bioinformatic methods we used RnBeads (version 2.4.0) and R (version 3.6.1) packages. We further focused our analysis to specific genomic regions, including CpG islands, promoters, gene bodies and CTCF motifs to understand how methylation alterations may differ between these and other genomic contexts following radiation. RESULTS There were widespread differential methylation (pre-treatment vs. radiation treatment) changes among the genomic regions examined. Interestingly, we found differential methylation changes at CTCF motifs, which play important DNA-methylation dependent roles in gene expression and chromatin architecture regulation. Hierarchical clustering, PCA and MDS analysis of DNA methylation status amongst CpG islands, promoters, gene bodies and CTCF domains revealed strong intra-sample differences, but not inter-sample differences (between GSC lines), suggesting radiation associated methylation alterations maybe loci and context dependent. CONCLUSION Radiation treatment is associated with wide-spread alterations of DNA methylation states in this patient derived glioblastoma model. Such alterations may drive gene expression changes or genomic architecture alterations that lead to treatment resistance, warranting further mechanistic investigation of the interplay between radiation induced DNA damage and local epigenetic state restoration following DNA damage repair.


2009 ◽  
Vol 21 (1) ◽  
pp. 113 ◽  
Author(s):  
C. Couldrey ◽  
M. P. Green ◽  
D. N. Wells ◽  
R. S. F. Lee

Cloning of domestic animals by somatic cell nuclear transfer (SCNT) has permitted the rescue of valuable genetics and has the potential to allow rapid dissemination of desirable traits in production animals through the use of cloned sires. Whilst cloned animals may show developmental deviations and aberrant DNA methylation suggestive of incomplete nuclear reprogramming, it is widely accepted that their offspring are normal, as any aberrant epigenetic marks are believed to be corrected on passage of the genome through the germline. We assessed the extent of reprogramming by comparing DNA methylation patterns in sperm of SCNT bulls (n = 4) with sperm from bulls generated by AI (n = 5) and with the nuclear donor somatic cells (adult skin fibroblasts). The genomic regions examined were 3 repetitive sequences (satellites 1, 2, and alpha) and CpG islands in 5 genes [HAND1, LIT1, MASH2, IGF2, Dickkopf-1(DKK-1)]. Semen was collected from 16-month-old bulls and assessed for volume, sperm number, morphology, and motility. DNA was extracted from washed sperm and somatic donor cells, bisulfite-treated and processed for quantification of CpG methylation using the Sequenom MassArray system. Methylation levels at individual CpG sites/groups of CpGs were compared between sample groups using the t-test with pooled variances. No apparent difference was detected in semen characteristics between SCNT and AI bulls. Sperm DNA methylation levels were very low in single copy genes with the exception of the CpG island in IGF2, which has previously been shown to be completely methylated in sperm. At all genomic regions examined, each CpG site or CpG groups were methylated to different levels, and each region had a distinctive profile, which was almost invariant between individual sperm samples from either the SCNT or AI bulls. In all sites examined, there were no significant differences in methylation profiles between sperm from SCNT and AI bulls. In contrast, DNA methylation profiles were significantly different between SCNT bull sperm and the donor cells. The exception was the CpG island in MASH2, which was essentially unmethylated in both. For the 3 satellite sequences along with LIT1, HAND1, and to a lesser extent, the DKK-1 region, DNA was significantly less methylated in sperm than in the donor cells. Only IGF2 was significantly more methylated in SCNT and AI sperm than in the donor cells at 10/25 CpG sites (P < 0.02). The results indicate that gametes from SCNT bulls had different epigenotypes from the donor somatic cells. This is the first molecular evidence that donor cell genomes have been reprogrammed in these SCNT bulls and that after going through the germline had acquired DNA methylation profiles that were similar to AI-derived bulls. It also suggests that any epigenetic aberrations that SCNT bulls may harbor are unlikely to be passed on to their offspring through their gametes. Supported by FRST contract C10X0311.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 600-600
Author(s):  
Hyang-Min Byun ◽  
Timothy Triche ◽  
Hyeoung-Joon Kim ◽  
Hee Nam Kim ◽  
Yeo-Kyeoung Kim ◽  
...  

Abstract Abstract 600 Background: Azacitidine is hypothesized to exert its therapeutic effect in patients with myelodysplastic syndrome (MDS) through inhibition of DNA methylation. However to date no genomic DNA methylation pattern has been shown to predict response to azacitidine in patients with MDS, and no aberrantly silenced gene or group of genes has been shown to be reactivated by azacitidine that can be clearly linked to the beneficial clinical effect. We sought to identify the gene or group of aberrantly hypermethylated genes that are responsible for the therapeutic effect of azacitidine by retrospectively analyzing genome-wide DNA methylation profiles from bone marrow samples of a cohort of 113 patients with MDS treated with the DNA methylation inhibitor, azacitidine. Methods: Bone marrow aspirates were collected at time of diagnosis prior to treatment, after 4 cycles of azacitidine therapy and 8 cycles of therapy. DNA was isolated and bisulfite treated with the EZ-96 DNA Methylation-Gold Kit. DNA methylation analysis was performed on 27,578 CpG sites representing 14,475 genes (almost ¾ of known genes) using the Infinium Bead Array system for samples at the time of diagnosis, 4 and 8 cycles of therapy. Only 19,662 CpG sites were used for further analysis due to exclusion of CpG sites that were on the × chromosome, sites suspected of containing single nucleotide polymorphisms (SNP), and sites within DNA repeats. In total 91 samples were analyzed from 43 patients with MDS, which were selected to represent different disease classifications and responses to therapy, and bone marrow aspirates from 10 healthy control subjects without MDS. Results: Two-way hierarchical cluster analysis showed clear clustering of bone marrow samples taken from subjects without MDS. DNA methylation patterns from healthy controls clustered together, and pre and post azacitidine treatment samples from the same subject clustered together as well. Samples did not cluster by DNA methylation patterns for WHO classification, International Prognostic Scoring System (IPSS), cytogenetic abnormalities, or response to azacitidine. Supervised cluster analysis is ongoing. Global decreases in DNA methylation as measured by the average methylation for all 19,662 loci assayed did decrease with treatment and there was a trend for a larger decrease in DNA methylation in those patients who responded to azacitidine. Conclusion: In this pilot study of genome-wide DNA methylation analysis of MDS patients treated with azacitidine we find global decreases of DNA methylation. We were unable to identify a DNA methylation pattern or group of hypermethylated genes that would predict response to azacitidine. MDS samples did not cluster by WHO classification, IPSS or response to azacitidine. Larger translational studies are needed, but the possibility that DNA methylation decreases in patients treated with azacitidine serve as a pharmacological marker rather than a therapeutic target should also be considered Disclosures: Laird: Celgene: Consultancy. Yang:Celgene: Honoraria, Research Funding, Speakers Bureau.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Benjamin I. Laufer ◽  
J. Antonio Gomez ◽  
Julia M. Jianu ◽  
Janine M. LaSalle

Abstract Background Down syndrome (DS) is characterized by a genome-wide profile of differential DNA methylation that is skewed towards hypermethylation in most tissues, including brain, and includes pan-tissue differential methylation. The molecular mechanisms involve the overexpression of genes related to DNA methylation on chromosome 21. Here, we stably overexpressed the chromosome 21 gene DNA methyltransferase 3L (DNMT3L) in the human SH-SY5Y neuroblastoma cell line and assayed DNA methylation at over 26 million CpGs by whole genome bisulfite sequencing (WGBS) at three different developmental phases (undifferentiated, differentiating, and differentiated). Results DNMT3L overexpression resulted in global CpG and CpG island hypermethylation as well as thousands of differentially methylated regions (DMRs). The DNMT3L DMRs were skewed towards hypermethylation and mapped to genes involved in neurodevelopment, cellular signaling, and gene regulation. Consensus DNMT3L DMRs showed that cell lines clustered by genotype and then differentiation phase, demonstrating sets of common genes affected across neuronal differentiation. The hypermethylated DNMT3L DMRs from all pairwise comparisons were enriched for regions of bivalent chromatin marked by H3K4me3 as well as differentially methylated sites from previous DS studies of diverse tissues. In contrast, the hypomethylated DNMT3L DMRs from all pairwise comparisons displayed a tissue-specific profile enriched for regions of heterochromatin marked by H3K9me3 during embryonic development. Conclusions Taken together, these results support a mechanism whereby regions of bivalent chromatin that lose H3K4me3 during neuronal differentiation are targeted by excess DNMT3L and become hypermethylated. Overall, these findings demonstrate that DNMT3L overexpression during neurodevelopment recreates a facet of the genome-wide DS DNA methylation signature by targeting known genes and gene clusters that display pan-tissue differential methylation in DS.


2014 ◽  
Vol 34 (suppl_1) ◽  
Author(s):  
Jessilyn Dunn ◽  
Haiwei Qiu ◽  
Soyeon Kim ◽  
Daudi Jjingo ◽  
Ryan Hoffman ◽  
...  

Atherosclerosis preferentially occurs in arterial regions of disturbed blood flow (d-flow), which alters gene expression, endothelial function, and atherosclerosis. Here, we show that d-flow regulates genome-wide DNA methylation patterns in a DNA methyltransferase (DNMT)-dependent manner. We found that d-flow induced expression of DNMT1, but not DNMT3a or DNMT3b, in mouse arterial endothelium in vivo and in cultured endothelial cells by oscillatory shear (OS) compared to unidirectional laminar shear in vitro. The DNMT inhibitor 5-Aza-2’deoxycytidine (5Aza) or DNMT1 siRNA significantly reduced OS-induced endothelial inflammation. Moreover, 5Aza reduced lesion formation in two atherosclerosis models using ApoE-/- mice (western diet for 3 months and the partial carotid ligation model with western diet for 3 weeks). To identify the 5Aza mechanisms, we conducted two genome-wide studies: reduced representation bisulfite sequencing (RRBS) and transcript microarray using endothelial-enriched gDNA and RNA, respectively, obtained from the partially-ligated left common carotid artery (LCA exposed to d-flow) and the right contralateral control (RCA exposed to s-flow) of mice treated with 5Aza or vehicle. D-flow induced DNA hypermethylation in 421 gene promoters, which was significantly prevented by 5Aza in 335 genes. Systems biological analyses using the RRBS and the transcriptome data revealed 11 mechanosensitive genes whose promoters were hypermethylated by d-flow but rescued by 5Aza treatment. Of those, five genes contain hypermethylated cAMP-response-elements in their promoters, including the transcription factors HoxA5 and Klf3. Their methylation status could serve as a mechanosensitive master switch in endothelial gene expression. Our results demonstrate that d-flow controls epigenomic DNA methylation patterns in a DNMT-dependent manner, which in turn alters endothelial gene expression and induces atherosclerosis.


Circulation ◽  
2017 ◽  
Vol 135 (suppl_1) ◽  
Author(s):  
Xiaoling Wang ◽  
Yue Pan ◽  
Haidong Zhu ◽  
Guang Hao ◽  
Xin Wang ◽  
...  

Background: Several large-scale epigenome wide association studies on obesity-related DNA methylation changes have been published and in total identified 46 CpG sites. These studies were conducted in middle-aged and older adults of Caucasians and African Americans (AAs) using leukocytes. To what extend these signals are independent of cell compositions as well as to what extend they may influence gene expression have not been systematically investigated. Furthermore, the high prevalence of obesity comorbidities in middle-aged or older population may hide or bias obesity itself related DNA methylation changes. Methods: In this study of healthy AA youth and young adults, genome wide DNA methylation data from leukocytes were obtained from three independent studies: EpiGO study (96 obese cases vs. 92 lean controls, aged 14-21, 50% females, test of interest is obesity status), LACHY study (284 participants from general population, aged 14-18, 50% females, test of interest is BMI), and Georgia Stress and Heart study (298 participants from general population, aged 18-38, 52% females, test of interest is BMI) using the Infinium HumanMethylation450 BeadChip. Genome wide DNA methylation data from purified neutrophils as well as genome wide gene expression data from leukocytes using Illumina HT12 V4 array were also obtained for the EpiGO samples. Results: The meta-analysis on the 3 cohorts identified 76 obesity related CpG sites in leukocytes with p<1х10 -7 . Out of the 46 previously identified CpG sites, 36 can be replicated in this AA youth and young adult sample with same direction and p<0.05. Out of the 107 CpG sites including the 36 replicated ones and the 71 newly identified ones, 71 CpG sites (66%) had their relationship with obesity replicated in purified neutrophils (p<0.05). The analysis on the cis regulation of the 107 CpG sites on gene expression showed that 59 CpG sites had at least one gene within 250kb having expression difference between obese cases and lean controls. Furthermore, out of the 59 CpG sites, 6 showed significantly negative correlations and 1 showed significantly positive correlation with the differentially expressed genes. These CpG sites located in SOCS3, CISH, ABCG1, PIM3 and PTGDS genes. Conclusion: In this study of AA youth and young adults, we identified novel CpG sites associated with obesity and replicated majority of the CpG sites previously identified in middle-aged and older adults. For the first time, we showed that majority of the obesity related CpG sites identified from leukocytes are not driven by cell compositions and provided the direct link between DNA methylation-gene expression-obesity status for 7 CpG sites in 5 genes.


Sign in / Sign up

Export Citation Format

Share Document