scholarly journals DNA methylation changes in Down syndrome derived neural iPSCs uncover co-dysregulation of ZNF and HOX3 families of transcription factors

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Loora Laan ◽  
Joakim Klar ◽  
Maria Sobol ◽  
Jan Hoeber ◽  
Mansoureh Shahsavani ◽  
...  

Abstract Background Down syndrome (DS) is characterized by neurodevelopmental abnormalities caused by partial or complete trisomy of human chromosome 21 (T21). Analysis of Down syndrome brain specimens has shown global epigenetic and transcriptional changes but their interplay during early neurogenesis remains largely unknown. We differentiated induced pluripotent stem cells (iPSCs) established from two DS patients with complete T21 and matched euploid donors into two distinct neural stages corresponding to early- and mid-gestational ages. Results Using the Illumina Infinium 450K array, we assessed the DNA methylation pattern of known CpG regions and promoters across the genome in trisomic neural iPSC derivatives, and we identified a total of 500 stably and differentially methylated CpGs that were annotated to CpG islands of 151 genes. The genes were enriched within the DNA binding category, uncovering 37 factors of importance for transcriptional regulation and chromatin structure. In particular, we observed regional epigenetic changes of the transcription factor genes ZNF69, ZNF700 and ZNF763 as well as the HOXA3, HOXB3 and HOXD3 genes. A similar clustering of differential methylation was found in the CpG islands of the HIST1 genes suggesting effects on chromatin remodeling. Conclusions The study shows that early established differential methylation in neural iPSC derivatives with T21 are associated with a set of genes relevant for DS brain development, providing a novel framework for further studies on epigenetic changes and transcriptional dysregulation during T21 neurogenesis.

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.


Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 3451-3451
Author(s):  
Maria E Figueroa ◽  
Sebastien Malinge ◽  
Timothy M Chlon ◽  
Yushan Li ◽  
Elisabeth Paietta ◽  
...  

Abstract Abstract 3451 Down syndrome (DS) is associated with an increased frequency of Acute Megakaryoblastic Leukemias (AMKL). In the context of DS, AMKL is usually preceded by the development of a transient myeloproliferative disorder (TMD). Up to 10% of DS children may develop this disorder, and approximately 20–30% of those with TMD go on to develop AMKL, which may or may not be preceded by a return to normal hematopoiesis. While trisomy 21 (tri21) alone is not sufficient to develop AMKL, it is clear that the acquisition of somatic mutations in GATA1 is a requirement for the development of DS-AMKL. Much has been studied in relation with this genetic mutation, however not much is known about the epigenetic changes accompanying the development of AMKL in DS patients. Given the step-wise nature of the development of DS-AMKL, we hypothesized that distinct and cumulative epigenetic changes would be associated with each of the phases of the disease. In order to address this hypothesis we performed DNA methylation profiling of a cohort of 7 primary DS-AMKL samples using the latest design of the HELP microarray assay, which covers ∼230,000 CpG sites at ∼22,000 RefSeq promoter regions. In order to better understand how aberrant epigenetic patterns become established during the development of this disease we compared these DNA methylation profiles to those of mononuclear cells from normal fetal liver (FL-MNC) (n=4), tri21 FL-MNC (n=4) and TMD blasts (n=6). We identified a set of 711 unique genes that displayed significant loss of methylation in Tri21 FL-MNC with respect to control FL-MNC (FDR < 5% and methylation delta ≥ 25%). However, when tri21 FL-MNC were compared to the GATA1s positive TMD blasts, we observed that TMD samples acquired significant hypermethylation of 346 unique genes at the same significance cutoff. A direct comparison of the genes affected by these two opposing waves of methylation changes demonstrated that different sets of genes were being targeted at each stage. Next we compared the DNA methylation profiles of TMD and DS-AMKL blasts, and found them to be virtually identical, indicating that an epigenetic imprint becomes established at the TMD phase, which is still present at the leukemic phase. Finally we compared DS-AMKL to a cohort of 8 non-DS AMKL, and observed that DS-AMKL samples display significant hypomethylation of 267 unique genes, indicating that these two diseases are not only genetically but also epigenetically distinct. In determining the location of the epigenetic changes acquired at the different stages of the disease we found that, similar to what had been previously reported for gene expression, DNA methylation changes did not localize solely to chr 21, but that these changes were distributed along all chromosomes. However, detailed analysis of chr 21 revealed that changes on this chromosome preferentially targeted a specific region on the long arm, the Down Syndrome Critical Region (DSCR). This region becomes significantly hypomethylated in Tri21 FL-MNC and remains hypomethylated through all the stages of the disease. Several groups have sought to identify candidate genes on the DSCR that may contribute to the pathogenesis of the disease. Two genes, BACH1 and CXADR, have been identified in common by two different studies as being overexpressed in DS-AMKL vs. Non-DS AMKL. Both of these genes displayed aberrant hypomethylation at their promoter regions in Tri21 FL MNC, TMD and DS-AMKL samples: such hypomethylation was absent from all the control samples. Finally, given that GATA1 mutations are a requirement for the development of DS-AMKL, we compared the different aberrant DNA methylation signatures to the normal GATA1 targets identified by ChIP sequencing experiments, and found 20–25% overlap. In summary, we have completed the first comprehensive DNA methylation study of the developmental phases of DS-AMKL and have demonstrated that a) specific epigenetic changes are associated with the different stages of the disease, b) these changes occur in ‘waves' of sequential hypo and hypermethylation, c) aberrant DNA methylation on chr 21 preferentially targets the DSCR and results in aberrant overexpression of the associated genes, and d) epigenetic profiles of TMD and DS-AMKL are virtually identical. These observations lead us to believe that an epigenetic memory established at the TMD stage may be at least in part contributing to the development of full-blown AMKL at a later time point. Disclosures: No relevant conflicts of interest to declare.


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.


2013 ◽  
Vol 25 (2) ◽  
pp. 66-76 ◽  
Author(s):  
Yaping Hou ◽  
Huayun Chen ◽  
Qiong He ◽  
Wei Jiang ◽  
Tao Luo ◽  
...  

BackgroundEfforts aiming at identifying biomarkers and corresponding methods for early diagnosis of Alzheimer's disease (AD) might be the most appropriate strategy to initiate promising new treatments and/or prevention of ADObjectiveThe aim of our study is to assess the association of DNA methylation pattern of various leucocyte genes with AD pathogenesis in order to find potential biomarkers and corresponding methods for molecular diagnosis of AD.MethodsDNA methylation level of various genes in AD patients and normal population were compared by bisulphite sequencing PCR and methylation-specific PCR (MSP). Furthermore, real-time PCR was used to explore the effects of DNA methylation on the expression of target genes.ResultsResults showed significant hypermethylation of mammalian orthologue of Sir2 (SIRT1) gene in AD patients compared with normal population. Meanwhile, changes in methylation level of SIRT1 gene between different severities of AD were also found. Specific primers were designed from the SIRT1 CpG islands to differentiate AD and control group by MSP method. Besides, significant demethylation of β-amyloid precursor protein (APP) gene was observed in AD patients, whereas no difference was observed in other AD-related genes. Moreover, significant decrease in expression of SIRT1 gene and increase in expression of APP gene were also found in AD patients. In addition, the expression level of SIRT1/APP genes was associated with the severity, but not with the age or gender, of AD patients.Conclusion:SIRT1 and APP might be the interesting candidate biomarkers and valuable for clinical diagnosis or treatment of AD.


Blood ◽  
2013 ◽  
Vol 122 (14) ◽  
pp. e33-e43 ◽  
Author(s):  
Sébastien Malinge ◽  
Tim Chlon ◽  
Louis C. Doré ◽  
Rhett P. Ketterling ◽  
Martin S. Tallman ◽  
...  

Key Points DNA methylation changes during the development of DS-AMKL occur in sequential waves of opposing losses and gains of methylation. Each wave of DNA methylation abnormalities targets specific gene networks that contribute to distinct biological features of the disease.


2014 ◽  
Vol 21 (4) ◽  
pp. 567-577 ◽  
Author(s):  
Florian Haller ◽  
Evgeny A Moskalev ◽  
Fabio R Faucz ◽  
Sarah Barthelmeß ◽  
Stefan Wiemann ◽  
...  

Carney triad (CT) is a rare condition with synchronous or metachronous occurrence of gastrointestinal stromal tumors (GISTs), paragangliomas (PGLs), and pulmonary chondromas in a patient. In contrast to Carney–Stratakis syndrome (CSS) and familial PGL syndromes, no germline or somatic mutations in the succinate dehydrogenase (SDH) complex subunits A, B, C, or D have been found in most tumors and/or patients with CT. Nonetheless, the tumors arising among patients with CT, CSS, or familial PGL share a similar morphology with loss of the SDHB subunit on the protein level. For the current study, we employed massive parallel bisulfite sequencing to evaluate DNA methylation patterns in CpG islands in proximity to the gene loci of all four SDH subunits. For the first time, we report on a recurrent aberrant dense DNA methylation at the gene locus of SDHC in tumors of patients with CT, which was not present in tumors of patients with CSS or PGL, or in sporadic GISTs with KIT mutations. This DNA methylation pattern was correlated to a reduced mRNA expression of SDHC, and concurrent loss of the SDHC subunit on the protein level. Collectively, these data suggest epigenetic inactivation of the SDHC gene locus with functional impairment of the SDH complex as a plausible alternate mechanism of tumorigenesis in CT.


2011 ◽  
pp. 26-38 ◽  
Author(s):  
Julio César Montoya ◽  
Juliana Soto ◽  
José María Satizábal ◽  
Adalberto Sánchez ◽  
Felipe García

Introduction: Previous reports have identified a region of chromosome 21 known as Down ayndrome critical region (DSCR) in which the expression of some genes would modulate the main clinical characteristics of this pathology. In this sense, there is currently limited information on the architecture of the DSCR associated. Objective: To obtain in silico a detailed vision of the chromatin structure associated with the evaluation of genomic covariables contained in public data bases. Methods: Taking as reference the information consigned in the National Center for Biotechnology Information, the Genome Browser from the University of California at Santa Cruz and from the HapMap project, a chromosome walk along 21 Mb of the distal portion of chromosome 21q arm was performed. In this distal portion, the number of single nucleotide polymorphisms (SNP), number of CpG islands, repetitive elements, recombination frequencies, and topographical state of that chromatin were recorded. Results: The frequency of CpG islands and Ref genes increased in the more distal 1.2 Mb DSCR that contrast with those localized near to the centromere. The highest level of recombination calculated for women was registered in the 21q22.12 to 22.3 bands. DSCR 6 and 9 genes showed a high percentage of methylation in CpG islands in DNA from normal and trisomic fibroblasts. The DSCR2 gene exhibited high levels of open chromatin and also methylation in some lysine residues of the histone H3 as relevant characteristics. Conclusion: The existence of a genomic environment characterized by high values of recombination frequencies and CpG methylation in DSCR 6 and 9 and also DSCR2 genes led us to postulate that in non-disjunction detected in Down syndrome, complex genomic, epigenetic and environmental relationships regulate some processes of meiosis.


2020 ◽  
Author(s):  
Keiji Kawatani ◽  
Toshihiko Nambara ◽  
Nobutoshi Nawa ◽  
Hidetaka Yoshimatsu ◽  
Haruna Kusakabe ◽  
...  

Abstract Astrocytes exert adverse effects on the brains of individuals with Down syndrome (DS). Although a neurogenic-to-gliogenic shift in the fate-specification step has been reported, the mechanisms and key regulators underlying the accelerated proliferation of astrocyte precursor cells (APCs) in DS remain elusive. Here, we established an isogenic cell line panel, based on DS-specific induced pluripotent stem cells, the XIST-mediated transcriptional silencing system in trisomic chromosome 21, and genome/chromosome-editing technologies to eliminate phenotypic fluctuations caused by genetic variation. The transcriptional responses of genes observed upon XIST induction and/or downregulation were not uniform, and only a small subset of genes showed a characteristic expression pattern, which is consistent with the proliferative phenotypes of DS APCs. Comparative analysis and experimental verification using gene modification revealed dose-dependent proliferation-promoting activity of DYRK1A and PIGP on DS APCs. Our collection of isogenic cell lines provides a comprehensive set of cellular models for DS investigations.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2189-2189
Author(s):  
Martin F Kaiser ◽  
Alexander Murison ◽  
Charlotte Pawlyn ◽  
Eileen M Boyle ◽  
David C Johnson ◽  
...  

Abstract Introduction Multiple myeloma is a clinically highly heterogeneous disease, which is reflected by both a complex genome and epigenome. Dynamic epigenetic changes are involved at several stages of myeloma biology, such as transformation and disease progression. Our previous genome wide epigenetic analyses identified prognostically relevant DNA hypermethylation at specific tumor suppressor genes (Kaiser MF et al., Blood 2013), indicating that specific epigenetic programming influences clinical behavior. This clinically relevant finding prompted further investigation of the epigenomic structure of myeloma and its interaction with genetic aberrations. Material and Methods Genome wide DNA methylation of CD138-purified myeloma cells from 464 patients enrolled in the NCRI Myeloma XI trial at presentation were analyzed using the high resolution 450k DNA methylation array platform (Illumina). In addition, 4 plasma cell leukemia (PCL) cases (two t(11;14) and two (4;14)) and 7 myeloma cell lines (HMCL) carrying different translocations were analysed. Analyses were performed in R Bioconductor packages after filtering and removal of low quality and non-uniquely mapping probes. Results Variation in genome wide DNA methylation was analyzed using unsupervised hierarchical clustering of the 10,000 most variable probes, which revealed epigenetically defined subgroups of disease. Presence of recurrent IGH translocations was strongly associated with specific epigenetic profiles. All 60 cases with t(4;14) clustered into two highly similar sub-clusters, confirming that overexpression of the H3K36 methyltransferase MMSET in t(4;14) has a defined and specific effect on the myeloma epigenome. Interestingly, HMCLs KMS-11 and LP-1, which carry t(4;14), MM1.S, a t(14;16) cell line with an E1099K MMSET activating mutation as well as two PCLs with t(4;14) all clustered in one sub-clade. The majority (59/85) of t(11;14) cases showed global DNA hypomethylation compared to t(4;14) cases and clustered in one subclade, indicating a epigenetic programming effect associated with CCND1, with a subgroup of t(11;14) cases showing a variable DNA methylation pattern. In addition to translocation-defined subgroups, a small cluster of samples with a distinct epigenetic profile was identified. In total 7 cases with a shared specific DNA methylation pattern (median inter-sample correlation 0.4) were identified. The group was characterized by DNA hypermethylation (4,341 hypermethylated regions vs. 750 hypomethylated regions) in comparison to all other cases. Intersection of regions hypermethylated in this subgroups with ENCODE datasets revealed mapping to poised enhancers and promoters in H1-hESC, indicating functionally relevant epigenetic changes. Gene set enrichment analysis (KEGG) demonstrated enrichment of developmental pathway genes, e.g. Hedgehog signaling (adj p=5x10exp-13), amongst others and all four HOX clusters were differentially methylated in this group. Of note, three of seven cases in this subgroup carried a t(11;14) and all t(11;14) or t(11;14)-like HMCLs clustered closely together with these patient cases, but not with the cluster carrying the majority of t(11;14) myeloma or t(11;14) PCLs. This potentially indicates that t(11;14) HMCL could be derived from a subgroup of patients with specific epigenetic characteristics. Conclusion Our results indicate that the recurrent IGH translocations are fundamentally involved in shaping the myeloma epigenome through either direct upregulation of epigenetic modifiers (e.g. MMSET) or through insufficiently understood mechanisms. However, developmental epigenetic processes seem to independently contribute to the complexity of the epigenome in some cases. This work provides important insights into the spectrum of epigenetic subgroups of myeloma and helps identify subgroups of disease that may benefit from specific epigenetic therapies currently being developed. Disclosures Walker: Onyx Pharmaceuticals: Consultancy, Honoraria.


Sign in / Sign up

Export Citation Format

Share Document