scholarly journals Pioneer transcription factors are associated with the modulation of DNA methylation patterns across cancers

2021 ◽  
Author(s):  
Roza Berhanu Lemma ◽  
Thomas Fleischer ◽  
Emily Martinsen ◽  
Vessela N Kristensen ◽  
Ragnhild Eskeland ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Transcription Factors ◽  
Gene Expression Regulation ◽  
De Novo ◽  
Aberrant Methylation ◽  
Cancer Types ◽  
Aberrant Dna Methylation ◽  
Methylation Patterns ◽  
Mcf 7

Methylation of cytosines on DNA is a prominent modification associated with gene expression regulation. Aberrant DNA methylation patterns have recurrently been linked to dysregulation of the regulatory program in cancer cells. To shed light on the underlying molecular mechanism driving this process, we hypothesized that aberrant methylation patterns could be controlled by the binding of specific transcription factors (TFs) across cancer types. By combining DNA methylation arrays and gene expression data with TF binding sites (TFBSs), we explored the interplay between TF binding and DNA methylation in 19 cancer cohorts. We performed emQTL (expression-methylation quantitative trait loci) analyses in each cohort and identified 13 TFs whose expression levels are correlated with local DNA methylation patterns around their binding site in at least 2 cancer types. The 13 TFs are mainly associated with local demethylation and are enriched for pioneer function, suggesting a specific role for these TFs in modulating chromatin structure and transcription in cancer patients. Furthermore, we confirmed that de novo methylation is precluded across cancers at CpGs lying in genomic regions enriched for TF-binding signatures associated with SP1, CTCF, NRF1, GABPA, KLF9, and/or YY1. The modulation of DNA methylation associated with TF binding was observed at cis-regulatory regions controlling immune- and cancer-associated pathways, corroborating that the emQTL signals were derived from both cancer and tumour-infiltrating cells. As a case example, we experimentally confirmed that FOXA1 knock-down is associated with higher methylation in regions bound by FOXA1 in breast cancer MCF-7 cells. Finally, we reported physical interactions between FOXA1 with TET1 and TET2 at physiological levels in MCF-7 cells, adding further support for FOXA1 attracting TET1 and TET2 to induce local demethylation in cancer.

scholarly journals Epigenome Chaos: Stochastic and Deterministic DNA Methylation Events Drive Cancer Evolution

Cancers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1800
Author(s):  
Giusi Russo ◽  
Alfonso Tramontano ◽  
Ilaria Iodice ◽  
Lorenzo Chiariotti ◽  
Antonio Pezone
Keyword(s):  
Dna Methylation ◽  
Tumor Heterogeneity ◽  
Tumor Evolution ◽  
Aberrant Methylation ◽  
Epigenetic Alterations ◽  
Cancer Evolution ◽  
Cancer Types ◽  
Chromatin Proteins ◽  
Aberrant Dna Methylation ◽  
Methylation Patterns

Cancer evolution is associated with genomic instability and epigenetic alterations, which contribute to the inter and intra tumor heterogeneity, making genetic markers not accurate to monitor tumor evolution. Epigenetic changes, aberrant DNA methylation and modifications of chromatin proteins, determine the “epigenome chaos”, which means that the changes of epigenetic traits are randomly generated, but strongly selected by deterministic events. Disordered changes of DNA methylation profiles are the hallmarks of all cancer types, but it is not clear if aberrant methylation is the cause or the consequence of cancer evolution. Critical points to address are the profound epigenetic intra- and inter-tumor heterogeneity and the nature of the heterogeneity of the methylation patterns in each single cell in the tumor population. To analyze the methylation heterogeneity of tumors, new technological and informatic tools have been developed. This review discusses the state of the art of DNA methylation analysis and new approaches to reduce or solve the complexity of methylated alleles in DNA or cell populations.

scholarly journals Focal DNA hypo-methylation in cancer is mediated by transcription factors binding

2021 ◽  
Author(s):  
Dylane Detilleux ◽  
Yannick G Spill ◽  
Delphine Balaramane ◽  
Michaël Weber ◽  
Anaïs Flore Bardet
Keyword(s):  
Breast Cancer ◽  
Dna Methylation ◽  
Transcription Factors ◽  
Cancer Cells ◽  
Bioinformatic Analysis ◽  
The Cancer Genome Atlas ◽  
Cancer Genome Atlas ◽  
Cancer Types ◽  
Aberrant Dna Methylation ◽  
Methylation Patterns

ABSTRACTAberrant DNA methylation has emerged as a hallmark of cancer cells and profiling their epigenetic landscape has widely been carried out in many types of cancer. However, the mechanisms underlying changes in DNA methylation remain elusive. Transcription factors, initially thought to be repressed from binding by DNA methylation, have recently emerged as potential drivers of DNA methylation patterns. Here we perform a rigorous bioinformatic analysis integrating the massive amount of data available from The Cancer Genome Atlas to identify transcription factors driving aberrant DNA methylation. We predict TFs known to be involved in cancer as well as novel candidates to drive hypo-methylated regions such as FOXA1 and GATA3 in breast cancer, FOXA1 and TWIST1 in prostate cancer and NFE2L2 in lung cancer. We also predict TFs that lead to hyper-methylated regions upon TF loss such as EGR1 in several cancer types. Finally, we validate experimentally that FOXA1 and GATA3 mediate hypo-methylated regions in breast cancer cells. Our work shows the importance of TFs as upstream regulators shaping DNA methylation patterns in cancer.

scholarly journals Nurse cell-derived small RNAs define paternal epigenetic inheritance in Arabidopsis

2021 ◽  
Author(s):  
Jincheng Long ◽  
James Walker ◽  
Wenjing She ◽  
Billy Aldridge ◽  
Hongbo Gao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Small Rnas ◽  
Nurse Cell ◽  
De Novo ◽  
Epigenetic Inheritance ◽  
Genome Integrity ◽  
Nurse Cells ◽  
Male Germline ◽  
Methylation Patterns

AbstractThe plant male germline undergoes DNA methylation reprogramming, which methylates genes de novo and thereby alters gene expression and facilitates meiosis. Why reprogramming is limited to the germline and how specific genes are chosen is unknown. Here, we demonstrate that genic methylation in the male germline, from meiocytes to sperm, is established by germline-specific siRNAs transcribed from transposons with imperfect sequence homology. These siRNAs are synthesized by meiocyte nurse cells (tapetum) via activity of the tapetum-specific chromatin remodeler CLASSY3. Remarkably, tapetal siRNAs govern germline methylation throughout the genome, including the inherited methylation patterns in sperm. Finally, we demonstrate that these nurse cell-derived siRNAs (niRNAs) silence germline transposons, thereby safeguarding genome integrity. Our results reveal that tapetal niRNAs are sufficient to reconstitute germline methylation patterns and drive extensive, functional methylation reprogramming analogous to piRNA-mediated reprogramming in animal germlines.

Profiling of Aberrant DNA Methylation In AML Reveals Subclasses of CpG Islands with Epigenetic or Genetic Association

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2498-2498
Author(s):  
Claudia Gebhard ◽  
Mohammed Sadeh ◽  
Dagmar Glatz ◽  
Lucia Schwarzfischer ◽  
Rainer Spang ◽  
...  
Keyword(s):  
Dna Methylation ◽  
De Novo ◽  
Conflicts Of Interest ◽  
Cpg Island ◽  
Cpg Islands ◽  
Sequencing Data ◽  
Cpg Island Methylator Phenotype ◽  
Chip Sequencing ◽  
Aberrant Dna Methylation ◽  
Methylation Patterns

Abstract Abstract 2498 CpG islands show frequent and often disease-specific epigenetic alterations during malignant transformation, however, the underlying mechanisms are poorly understood. We used methyl-CpG immunoprecipitation (MCIp) to generate comparative DNA methylation profiles of 30 patients with acute myeloid leukemia for human CpG islands across the genome. DNA methylation profiles across 23.000 CpG islands revealed highly heterogeneous methylation patterns in AML with over 6000 CpG islands showing aberrant de novo methylation in AML. Based on these profiles we selected a subset of 380 CpG islands (covering 15.000 individual CpGs) for detailed fine-mapping analyses of aberrant DNA methylation in 185 patients with AML (50% normal karyotype). We found that a proportion of patients (5/185) displayed a concerted hypermethylation at almost all studied loci, representing the rare CpG island methylator phenotype (CIMP) in AML. Meta analysis of methylation profiling and published ChIP sequencing data separated CpG islands in two groups. A highly correlated subgroup of CpG island regions was strongly associated with histone H3 lysine 27 trimethylation in human hematopoietic progenitor cells, suggesting that disease-related de novo DNA methylation at these CpG islands is linked with polycomb group protein (PcG)-mediated repression. The group of mainly non-PcG target CpG islands showed heterogeneous methylation patterns across patients and unsupervised hierarchical clustering revealed a correlation of methylation profiles with genetic disease markers, including oncofusion proteins as well as CEBPA- and NPM1-mutations. Our study suggests that both epigenetic as well as genetic aberrations may underlay AML-related changes in CpG island DNA methylation states. Disclosures: No relevant conflicts of interest to declare.

Changes in DNA methylation during mouse embryonic development in relation to X-chromosome activity and imprinting

1990 ◽  
Vol 326 (1235) ◽  
pp. 299-312 ◽  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Embryonic Development ◽  
X Chromosome ◽  
De Novo ◽  
Germ Line ◽  
X Chromosome Inactivation ◽  
Chromosome Inactivation ◽  
Chromatin Configuration ◽  
Methylation Patterns

Changing DNA methylation patterns during embryonic development are discussed in relation to differential gene expression, changes in X-chromosome activity and genomic imprinting. Sperm DNA is more methylated than oocyte DNA, both overall and for specific sequences. The methylation difference between the gametes could be one of the mechanisms (along with chromatin structure) regulating initial differences in expression of parental alleles in early development. There is a loss of methylation during development from the morula to the blastocyst and a marked decrease in methylase activity. De novo methylation becomes apparent around the time of implantation and occurs to a lesser extent in extra-embryonic tissue DNA. In embryonic DNA, de novo methylation begins at the time of random X-chromosome inactivation but it continues to occur after X-chromosome inactivation and may be a mechanism that irreversibly fixes specific patterns of gene expression and X-chromosome inactivity in the female. The germ line is probably delineated before extensive de novo methylation and hence escapes this process. The marked undermethylation of the germ line DNA may be a prerequisite for X-chromosome reactivation. The process underlying reactivation and removal of parent-specific patterns of gene expression may be changes in chromatin configuration associated with meiosis and a general reprogramming of the germ line to developmental totipotency.

scholarly journals The contrasting response to drought and waterlogging is underpinned by divergent DNA methylation programs associated with gene expression in sesame

2018 ◽  
Author(s):  
Komivi Dossa ◽  
Marie Ali Mmadi ◽  
Rong Zhou ◽  
Qi Zhou ◽  
Mei Yang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Abiotic Stresses ◽  
Cytosine Methylation ◽  
De Novo ◽  
Recovery Phase ◽  
Epigenetic Mechanism ◽  
Drought Tolerant ◽  
Sesame Genotypes ◽  
Methylation Patterns

AbstractDNA methylation is a heritable epigenetic mechanism that participates in gene regulation under abiotic stresses in plants. Sesame (Sesamum indicum L.) is typically considered a drought-tolerant crop but highly susceptible to waterlogging, a property attributed to its presumed origin in Africa or India. Understanding DNA methylation patterns in sesame under drought and waterlogging conditions can provide insights into the regulatory mechanisms underlying its contrasting responses to these principal abiotic stresses. Here, we combined Methylation-Sensitive Amplified Polymorphism and transcriptome analyses to profile cytosine methylation patterns, gene expression alteration, and their interplay in drought-tolerant and waterlogging-tolerant sesame genotypes under control, stress and recovery conditions. Our data showed that drought stress strongly induced de novo methylation (DNM) whereas most of the loci were demethylated (DM) during the recovery phase. In contrast, waterlogging decreased the level of methylation under stress but during the recovery phase, both DM and DNM were concomitantly deployed. In both stresses, the differentially expressed genes (DEGs) were highly correlated with the methylation patterns. We observed that DM was associated with the up-regulation of the DEGs while DNM was correlated with the down-regulation of the DEGs. In addition, we sequenced 44 differentially methylated regions of which 90% overlapped with the promoters and coding sequences of the DEGs. Altogether, we demonstrated that sesame has divergent epigenetic programs that respond to drought and waterlogging stresses. Our results also highlighted the possible interplay among DNA methylation and gene expression, which may modulate the contrasting responses to drought and waterlogging in sesame.

Specific promoter methylation identifies different subgroups of MLL-rearranged infant acute lymphoblastic leukemia, influences clinical outcome, and provides therapeutic options

Blood ◽  
2009 ◽  
Vol 114 (27) ◽  
pp. 5490-5498 ◽  
Author(s):  
Dominique J. P. M. Stumpel ◽  
Pauline Schneider ◽  
Eddy H. J. van Roon ◽  
Judith M. Boer ◽  
Paola de Lorenzo ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Acute Lymphoblastic Leukemia ◽  
Clinical Outcome ◽  
Cpg Island ◽  
Lymphoblastic Leukemia ◽  
Promoter Hypermethylation ◽  
Aberrant Dna Methylation ◽  
Methylation Patterns ◽  
Infant Acute Lymphoblastic Leukemia

Abstract MLL-rearranged infant acute lymphoblastic leukemia (ALL) remains the most aggressive type of childhood leukemia, displaying a unique gene expression profile. Here we hypothesized that this characteristic gene expression signature may have been established by potentially reversible epigenetic modifications. To test this hypothesis, we used differential methylation hybridization to explore the DNA methylation patterns underlying MLL-rearranged ALL in infants. The obtained results were correlated with gene expression data to confirm gene silencing as a result of promoter hypermethylation. Distinct promoter CpG island methylation patterns separated different genetic subtypes of MLL-rearranged ALL in infants. MLL translocations t(4;11) and t(11;19) characterized extensively hypermethylated leukemias, whereas t(9;11)-positive infant ALL and infant ALL carrying wild-type MLL genes epigenetically resembled normal bone marrow. Furthermore, the degree of promoter hypermethylation among infant ALL patients carrying t(4;11) or t(11;19) appeared to influence relapse-free survival, with patients displaying accentuated methylation being at high relapse risk. Finally, we show that the demethylating agent zebularine reverses aberrant DNA methylation and effectively induces apoptosis in MLL-rearranged ALL cells. Collectively these data suggest that aberrant DNA methylation occurs in the majority of MLL-rearranged infant ALL cases and guides clinical outcome. Therefore, inhibition of aberrant DNA methylation may be an important novel therapeutic strategy for MLL-rearranged ALL in infants.

scholarly journals Significant associations between driver gene mutations and DNA methylation alterations across many cancer types

2017 ◽  
Author(s):  
Yun-Ching Chen ◽  
Valer Gotea ◽  
Gennady Margolin ◽  
Laura Elnitski
Keyword(s):  
Gene Expression ◽  
Dna Methylation ◽  
Thyroid Cancer ◽  
Gene Mutations ◽  
Driver Gene ◽  
Driver Genes ◽  
Cancer Subtypes ◽  
Genome Wide ◽  
Cancer Types ◽  
Methylation Patterns

AbstractRecent evidence shows that mutations in several driver genes can cause aberrant methylation patterns, a hallmark of cancer. In light of these findings, we hypothesized that the landscapes of tumor genomes and epigenomes are tightly interconnected. We measured this relationship using principal component analyses and methylation-mutation associations applied at the nucleotide level and with respect to genome-wide trends. We found a few mutated driver genes were associated with genome-wide patterns of aberrant hypomethylation or CpG island hypermethylation in specific cancer types. We identified associations between 737 mutated driver genes and site-specific methylation changes. Moreover, using these mutation-methylation associations, we were able to distinguish between two uterine and two thyroid cancer subtypes. The driver gene mutation-associated methylation differences between the thyroid cancer subtypes were linked to differential gene expression in JAK-STAT signaling, NADPH oxidation, and other cancer-related pathways. These results establish that driver-gene mutations are associated with methylation alterations capable of shaping regulatory network functions. In addition, the methodology presented here can be used to subdivide tumors into more homogeneous subsets corresponding to their underlying molecular characteristics, which could improve treatment efficacy.Author summaryMutations that alter the function of driver genes by changing DNA nucleotides have been recognized as a key player in cancer progression. Recent evidence showed that DNA methylation, a molecular signature that is used for controlling gene expression and that consists of cytosine residues with attached methyl groups in the context of CG dinucleotides, is also highly dysregulated in cancer and contributes to carcinogenesis. However, whether those methylation alterations correspond to mutated driver genes in cancer remains unclear. In this study, we analyzed 4,302 tumors from 18 cancer types and demonstrated that driver gene mutations are inherently connected with the aberrant DNA methylation landscape in cancer. We showed that those driver gene-associated methylation patterns can classify heterogeneous tumors in a cancer type into homogeneous subtypes and have the potential to influence the genes that contribute to tumor growth. This finding could help us to better understand the fundamental connection between driver gene mutations and DNA methylation alterations in cancer and to further improve the cancer treatment.

scholarly journals Diagnostic classification based on DNA methylation profiles using sequential machine learning approaches

2021 ◽  
Author(s):  
M. W. Wojewodzic ◽  
J. P. Lavender
Keyword(s):  
Machine Learning ◽  
Dna Methylation ◽  
Machine Learning Algorithms ◽  
Aberrant Methylation ◽  
Learning Approaches ◽  
Tissue Samples ◽  
Non Invasive ◽  
Genome Wide ◽  
Cancer Types ◽  
Methylation Patterns

AbstractAberrant methylation patterns in human DNA have great potential for the discovery of novel diagnostic and disease progression biomarkers. In this paper, we used machine learning algorithms to identify promising methylation sites for diagnosing cancerous tissue and to classify patients based on methylation values at these sites.We used genome-wide DNA methylation patterns from both cancerous and normal tissue samples, obtained from the Genomic Data Commons consortium and trialled our methods on three types of urological cancer. A decision tree was used to identify the methylation sites most useful for diagnosis.The identified locations were then used to train a neural network to classify samples as either cancerous or non-cancerous. Using this two-step approach we found strong indicative biomarker panels for each of the three cancer types.These methods could likely be translated to other cancers and improved by using non-invasive liquid methods such as blood instead of biopsy tissue.

scholarly journals MDS and secondary AML display unique patterns and abundance of aberrant DNA methylation

Blood ◽  
2009 ◽  
Vol 114 (16) ◽  
pp. 3448-3458 ◽  
Author(s):  
Maria E. Figueroa ◽  
Lucy Skrabanek ◽  
Yushan Li ◽  
Anchalee Jiemjit ◽  
Tamer E. Fandy ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Bone Marrow ◽  
De Novo ◽  
Bone Marrow Cells ◽  
Mapk Signaling ◽  
Aberrant Methylation ◽  
Secondary Aml ◽  
De Novo Aml ◽  
Aberrant Dna Methylation ◽  
Marrow Cells

Abstract Increasing evidence shows aberrant hypermethylation of genes occurring in and potentially contributing to pathogenesis of myeloid malignancies. Several of these diseases, such as myelodysplastic syndromes (MDSs), are responsive to DNA methyltransferase inhibitors. To determine the extent of promoter hypermethylation in such tumors, we compared the distribution of DNA methylation of 14 000 promoters in MDS and secondary acute myeloid leukemia (AML) patients enrolled in a phase 1 trial of 5-azacytidine and the histone deacetylase inhibitor entinostat against de novo AML patients and normal CD34+ bone marrow cells. The MDS and secondary AML patients displayed more extensive aberrant DNA methylation involving thousands of genes than did the normal CD34+ bone marrow cells or de novo AML blasts. Aberrant methylation in MDS and secondary AML tended to affect particular chromosomal regions, occurred more frequently in Alu-poor genes, and included prominent involvement of genes involved in the WNT and MAPK signaling pathways. DNA methylation was also measured at days 15 and 29 after the first treatment cycle. DNA methylation was reversed at day 15 in a uniform manner throughout the genome, and this effect persisted through day 29, even without continuous administration of the study drugs. This trial was registered at www.clinicaltrials.gov as J0443.

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