scholarly journals Allele-specific DNA methylation is increased in cancers and its dense mapping in normal plus neoplastic cells increases the yield of disease-associated regulatory SNPs

2019 ◽  
Author(s):  
Catherine Do ◽  
Emmanuel LP Dumont ◽  
Martha Salas ◽  
Angelica Castano ◽  
Huthayfa Mujahed ◽  
...  

AbstractBackgroundMapping of allele-specific DNA methylation (ASM) can be a post-GWAS strategy for localizing regulatory sequence polymorphisms (rSNPs). However, the advantages of this approach, and the mechanisms underlying ASM in normal and neoplastic cells, remain to be clarified.ResultsWe performed whole genome methyl-seq on diverse normal cells and tissues and three types of cancers (multiple myeloma, lymphoma, glioblastoma multiforme). After excluding imprinting, the data pinpointed 15,114 high-confidence ASM differentially methylated regions (DMRs), of which 1,842 contained SNPs in strong linkage disequilibrium or coinciding with GWAS peaks. ASM frequencies were increased 5 to 9-fold in cancers vs. matched normal tissues, due to widespread allele-specific hypomethylation and focal allele-specific hypermethylation in poised chromatin. Cancers showed increased allele switching at ASM loci, but disruptive SNPs in specific classes of CTCF and transcription factor (TF) binding motifs were similarly correlated with ASM in cancer and non-cancer. Rare somatic mutations affecting these same motif classes tracked with de novo ASM in the cancers. Allele-specific TF binding from ChIP-seq was enriched among ASM loci, but most ASM DMRs lacked such annotations, and some were found in otherwise uninformative “chromatin deserts”.ConclusionsASM is increased in cancers but occurs by a shared mechanism involving disruptive SNPs in CTCF and TF binding sites in both normal and neoplastic cells. Dense ASM mapping in normal plus cancer samples reveals candidate rSNPs that are difficult to find by other approaches. Together with GWAS data, these rSNPs can nominate specific transcriptional pathways in susceptibility to autoimmune, neuropsychiatric, and neoplastic diseases. Custom genome browser tracks with annotated ASM loci can be viewed at a UCSC browser session hosted by our laboratory (https://bit.ly/tycko-asm)

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Catherine Do ◽  
Emmanuel L. P. Dumont ◽  
Martha Salas ◽  
Angelica Castano ◽  
Huthayfa Mujahed ◽  
...  

2019 ◽  
Vol 5 (12) ◽  
pp. eaay7246 ◽  
Author(s):  
Zhiyuan Chen ◽  
Qiangzong Yin ◽  
Azusa Inoue ◽  
Chunxia Zhang ◽  
Yi Zhang

Faithful maintenance of genomic imprinting is essential for mammalian development. While germline DNA methylation–dependent (canonical) imprinting is relatively stable during development, the recently found oocyte-derived H3K27me3-mediated noncanonical imprinting is mostly transient in early embryos, with some genes important for placental development maintaining imprinted expression in the extraembryonic lineage. How these noncanonical imprinted genes maintain their extraembryonic-specific imprinting is unknown. Here, we report that maintenance of noncanonical imprinting requires maternal allele–specific de novo DNA methylation [i.e., somatic differentially methylated regions (DMRs)] at implantation. The somatic DMRs are located at the gene promoters, with paternal allele–specific H3K4me3 established during preimplantation development. Genetic manipulation revealed that both maternal EED and zygotic DNMT3A/3B are required for establishing somatic DMRs and maintaining noncanonical imprinting. Thus, our study not only reveals the mechanism underlying noncanonical imprinting maintenance but also sheds light on how histone modifications in oocytes may shape somatic DMRs in postimplantation embryos.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 634-634 ◽  
Author(s):  
Heng Pan ◽  
Yanwen Jiang ◽  
David Redmond ◽  
Kui Nie ◽  
Leandro Cerchietti ◽  
...  

Abstract Diffuse Large B-cell Lymphoma (DLBCL) is the most common non-Hodgkin lymphoma worldwide. It is a heterogeneous disease in which one third of patients either do not respond to treatment or relapse within five years after chemotherapy. It is unclear whether epigenetic alterations are responsible for B cell lymphomas relapse phenotypes, such as increased aggressiveness and chemoresistance. To investigate how the B cell lymphoma epigenome evolves upon chemotherapy, we used Enhanced Reduced Representation Bisulfite Sequencing (ERRBS) to profile DNA methylation genome-wide in primary matched diagnosis-relapse DLBCL samples. We interrogated 13 pairs of DLBCL diagnosis tumors and their matched relapse samples. In addition, we performed methylation profiling of normal tonsilar B cell subsets (Naïve and germinal center B cells) from two healthy human individuals. ERRBS provided DNA methylation levels at 3-4M CpG sites. When combining methylation levels from all interrogated CpG sites, we observed increased DNA methylation levels at CpG-islands (CGIs; p=3.5e-9, t-test) in DLBCLs compared to normal B cells, and stable or slightly decreasing methylation levels outside of CGIs (>10 kb away from known CGIs; p=0.057, t-test). There was no significant change in average DNA methylation levels from diagnosis to relapse either at CGIs or outside of CGIs. However, when we investigated DNA methylation changes at gene promoters, we identified 107 consistently differentially methylated promoters between diagnosis and relapse (> 10% DNA methylation alteration and p < 0.05, paired t-test). Pathway analysis of the corresponding genes using iPAGE identified several pathways and processes associated with either hyper or hypo-methylated genes in relapse, demonstrating that methylation changes associated with relapse are functionally coherent. For example, several genes with TGF-beta receptor activity displayed lower DNA methylation in relapse. Taking advantage of single CpG resolution and high coverage provided by ERRBS, we then sought to investigate the extent of allele-specific methylation (ASM) levels in normal tissues and DLBCL patients. We found increased ASM levels in DLBCLs compared to normal tissues (p=0.0011, t-test) confirming observations in solid tumors. There was no significant change in ASM levels from diagnosis to relapse (p=0.24, t-test). These results suggest that methylation changes associated with lymphomagenesis might frequently involve one allele only, perhaps due to differential nuclear localization of individual chromosomes. However allele-specific methylation may not play a key role in lymphoma progression. Finally, we investigated whether intra-tumor methylation heterogeneity at diagnosis would predict whether a DLBCL patient would relapse. We quantified intra-tumor methylation heterogeneity using a statistical approach based on the probability that two randomly sampled DNA molecules from the tumor cell populations differ from each other in their methylation pattern. We found decreased intra-sample methylation heterogeneity in DLBCLs compared to normal germinal center B cells (p=1.9e-4, t-test), consistent with the clonal origin of tumors. 12 out of 13 pairs also displayed decreased methylation heterogeneity from diagnosis to relapse, which is also consistent with clonal selection upon chemotherapy treatment. We then performed ERRBS on primary tumors from 8 DLBCL patients who have not relapsed five years after treatment. We found that non-relapse patients displayed significantly lower intra-tumor methylation heterogeneity as compared to that of the relapsed patients (p=0.047, t-test), which suggests that increased epigenetic diversity within a population of tumor cells at diagnosis might fuel the Darwinian evolutionary process underlying relapse. We also looked at genetic clonal heterogeneity based on next-generation sequencing of somatic hypermutation profiles in IGH VDJ sequences, but found no differences between relapsed and not relapsed patients (p=0.22, Wilcoxon test). This suggests that epigenetic heterogeneity plays a more substantial role than clonal heterogeneity in fueling the relapse phenotype. In summary, this study provides the first comprehensive characterization of aberrations in DNA methylation in relapse DLBCLs and identified epigenetic diversity in DLBCLs as a potential predictor of relapse. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1235-1235
Author(s):  
Roger Mulet-Lazaro ◽  
Stanley van Herk ◽  
Claudia Erpelinck-Verschueren ◽  
Mathijs A. Sanders ◽  
Eric Bindels ◽  
...  

Introduction Transcriptional deregulation is a central event in the development of acute myeloid leukemia (AML), with most mutations occurring in genes related to transcription, chromatin regulation and DNA methylation. Furthermore, alterations involving cis-regulatory elements have been shown to play a critical role in aberrant gene expression in AML. Genetic variation in cis-regulatory regions usually involves a single allele, which results in differential expression of the two alleles. This phenomenon, termed allele-specific expression (ASE), is therefore an accurate marker for cis-regulatory variation (Pastinen, 2010). We propose that a systematic study of genes with aberrant ASE in AML may uncover aberrantly expressed genes caused by abnormalities in cis-regulatory elements. Therefore we aim to 1) chart the landscape of ASE in AML, 2) establish a link between relevant ASE events and AML subtypes, and 3) investigate the mechanisms driving ASE. Methods We performed whole exome sequencing (WES) and RNA-seq on leukemic blasts from 168 de novo AML patients, representing all major subtypes of the disease. Combining both datasets, we assessed ASE in every gene with informative (non-homozygous) single nucleotide variants (SNVs). Results Patients had a median of 37 genes with ASE, several of which were recurrently detected across multiple patients. To shorten the gene list we selected for this study genes known to be involved either in cancer or in myeloid development. The gene most commonly found to show ASE (53/140 cases with SNVs) was GATA2, which encodes a transcription factor crucial for proliferation and maintenance of hematopoietic stem cells with a known involvement in AML. Interestingly, integration with molecularly defined classification of AML revealed that all cases (n=17) with biallelic CEBPA mutations exhibited GATA2 ASE (p-value = 6.00·10-7, Fisher's test). Biallelic CEBPA mutations (CEBPA DM) identify an AML subtype with favorable clinical outcome and frequently co-occur with GATA2 mutations (Greif PA, 2012), pointing to a functional connection between these two genes. Indeed, 44% of the cases in our cohort exhibited a GATA2 mutation, and 27% carried a second, subclonal mutation in the same gene. Importantly, in cases where a GATA2 mutation was found, the mutant allele was always preferentially expressed. These findings were validated in the TCGA dataset, where all four CEBPA DM patients with informative SNVs in GATA2 exhibited GATA2 ASE. Although GATA2 ASE was present in other AML subtypes, none of these subtypes showed a significant association with this finding. Patients with a t(8;21) rearrangement (n=5), which represses CEBPA expression, did not exhibit GATA2 ASE, and we only observed GATA2 ASE in 4 out of 8 CEBPA silenced leukemias (Wouters BJ, 2007). Altogether, this demonstrates the uniqueness of the 1-to-1 relationship between CEBPA DM and GATA2 ASE, and excludes a causative role for inactive CEBPA protein in mediating mono-allelic expression of GATA2. The average expression of GATA2 in CEBPA DM patients was comparable to other AMLs, even in cases with monoallelic GATA2 expression. This suggests that a) ASE was achieved by repression of one allele rather than dramatically increased expression of the other, b) there was a compensation of the non-repressed allele. DNA methylation analysis of the GATA2 promoter did not reveal methylation-mediated gene silencing of the repressed allele. The long-distance +77 kb GATA2 enhancer appears to be involved in ASE, as RNA read-through levels at the enhancer were significantly different in CEBPA DM AMLs (p-value < 10-4, Wald test) in an allele-specific manner. The involvement of the enhancer was further confirmed by differences in H3K27ac levels between the two alleles. Conclusions An unbiased screen of 168 de novo AML cases revealed that all patients (n=17) with CEBPA biallelic mutations display GATA2 ASE. GATA2 mutations were found in 8 of the 17 cases, always in the allele that is preferentially expressed. Since GATA2 ASE is present in all CEBPA DM and GATA2 mutations only in a fraction, we hypothesize that GATA2 ASE is acquired first and mutations are only selected if they occur in the expressed allele. Moreover, given that other subgroups with CEBPA abnormalities do not show a similar pattern, we propose that ASE of GATA2 is not a consequence of CEBPA mutations, but rather a requirement for the development of AML in these patients. Disclosures No relevant conflicts of interest to declare.


2020 ◽  
Author(s):  
Katsuhiko Hirakawa ◽  
Hitomi Matsuzaki ◽  
Keiji Tanimoto

Abstract Monoallelic gene expression at the Igf2/H19 locus is controlled by paternal allele-specific DNA methylation of the imprinting control region (H19 ICR) that is established during spermatogenesis. We demonstrated that the H19 ICR fragment in transgenic mice acquires allele-specific methylation only after fertilization, which is essential for maintaining its allelic methylation during early embryogenesis. We identified a DNA element required for establishing post-fertilization methylation within a 118 bp (m118) region. A previously generated knock-in mouse whose endogenous H19 ICR was substituted with the human H19 ICR (hIC1; 4.8 kb) sequence revealed that the hIC1 sequence was partially methylated in sperm, although this methylation was lost by the blastocyst stage, which we assume is due to a lack of an m118-equivalent sequence in the hIC1 transgene. To identify a cis sequence involved in post-fertilization methylation within the hIC1 region, we generated three transgenic mouse lines (TgM): one carrying an 8.8 kb hIC1 sequence joined to m118 (hIC1+m118), one with the 8.8 kb hIC1, and one with the 5.8 kb hIC1 sequence joined to m118 (hIC1–3′+m118). We found that the hIC1–3′ region was resistant to de novo DNA methylation throughout development. In contrast, the 5′ portion of the hIC1 (hIC1–5′) in both hIC1+m118 and hIC1 TgM were preferentially methylated on the paternal allele only during preimplantation. As DNA methylation levels were higher in hIC1+m118, the m118 sequence could also induce imprinted methylation of the human sequence. Most importantly, the hIC1–5′ sequence appears to possess an activity equivalent to that of m118.


2004 ◽  
Vol 63 (6) ◽  
pp. 1018-1023 ◽  
Author(s):  
P.O. Bauer ◽  
A. Zumrova ◽  
V. Matoska ◽  
K. Mitsui ◽  
P. Goetz

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