Epigenomic Studies Research Articles

Maternal intake of methyl-group donors affects DNA methylation of metabolic genes in infants

BackgroundMaternal nutrition during pregnancy and infant nutrition in the early postnatal period (lactation) are critically involved in the development and health of the newborn infant. The Maternal Nutrition and Offspring’s Epigenome (MANOE) study was set up to assess the effect of maternal methyl-group donor intake (choline, betaine, folate, methionine) on infant DNA methylation. Maternal intake of dietary methyl-group donors was assessed using a food-frequency questionnaire (FFQ). Before and during pregnancy, we evaluated maternal methyl-group donor intake through diet and supplementation (folic acid) in relation to gene-specific (IGF2 DMR, DNMT1, LEP, RXRA) buccal epithelial cell DNA methylation in 6 months old infants (n = 114) via pyrosequencing. In the early postnatal period, we determined the effect of maternal choline intake during lactation (in mothers who breast-fed for at least 3 months) on gene-specific buccal DNA methylation (n = 65).ResultsMaternal dietary and supplemental intake of methyl-group donors (folate, betaine, folic acid), only in the periconception period, was associated with buccal cell DNA methylation in genes related to growth (IGF2 DMR), metabolism (RXRA), and appetite control (LEP). A negative association was found between maternal folate and folic acid intake before pregnancy and infant LEP (slope = −1.233, 95% CI −2.342; −0.125, p = 0.0298) and IGF2 DMR methylation (slope = −0.706, 95% CI −1.242; −0.107, p = 0.0101), respectively. Positive associations were observed for maternal betaine (slope = 0.875, 95% CI 0.118; 1.633, p = 0.0241) and folate (slope = 0.685, 95% CI 0.245; 1.125, p = 0.0027) intake before pregnancy and RXRA methylation. Buccal DNMT1 methylation in the infant was negatively associated with maternal methyl-group donor intake in the first and second trimester of pregnancy and negatively in the third trimester. We found no clear association between maternal choline intake during lactation and buccal infant DNA methylation.ConclusionsThis study suggests that maternal dietary and supplemental intake of methyl-group donors, especially in the periconception period, can influence infant’s buccal DNA methylation in genes related to metabolism, growth, appetite regulation, and maintenance of DNA methylation reactions.

Plant Stress Responses and Phenotypic Plasticity in the Epigenomics Era: Perspectives on the Grapevine Scenario, a Model for Perennial Crop Plants.

Epigenetic marks include Histone Post-Translational Modifications and DNA methylation which are known to participate in the programming of gene expression in plants and animals. These epigenetic marks may be subjected to dynamic changes in response to endogenous and/or external stimuli and can have an impact on phenotypic plasticity. Studying how plant genomes can be epigenetically shaped under stressed conditions has become an essential issue in order to better understand the molecular mechanisms underlying plant stress responses and enabling epigenetic in addition to genetic factors to be considered when breeding crop plants. In this perspective, we discuss the contribution of epigenetic mechanisms to our understanding of plant responses to biotic and abiotic stresses. This regulation of gene expression in response to environment raises important biological questions for perennial species such as grapevine which is asexually propagated and grown worldwide in contrasting terroirs and environmental conditions. However, most species used for epigenomic studies are annual herbaceous plants, and epigenome dynamics has been poorly investigated in perennial woody plants, including grapevine. In this context, we propose grape as an essential model for epigenetic and epigenomic studies in perennial woody plants of agricultural importance.

Dental Pulp Stem Cells Model Early Life and Imprinted DNA Methylation Patterns.

Early embryonic stages of pluripotency are modeled for epigenomic studies primarily with human embryonic stem cells (ESC) or induced pluripotent stem cells (iPSCs). For analysis of DNA methylation however, ESCs and iPSCs do not accurately reflect the DNA methylation levels found in preimplantation embryos. Whole genome bisulfite sequencing (WGBS) approaches have revealed the presence of large partially methylated domains (PMDs) covering 30%-40% of the genome in oocytes, preimplantation embryos, and placenta. In contrast, ESCs and iPSCs show abnormally high levels of DNA methylation compared to inner cell mass (ICM) or placenta. Here we show that dental pulp stem cells (DPSCs), derived from baby teeth and cultured in serum-containing media, have PMDs and mimic the ICM and placental methylome more closely than iPSCs and ESCs. By principal component analysis, DPSC methylation patterns were more similar to two other neural stem cell types of human derivation (EPI-NCSC and LUHMES) and placenta than were iPSCs, ESCs or other human cell lines (SH-SY5Y, B lymphoblast, IMR90). To test the suitability of DPSCs in modeling epigenetic differences associated with disease, we compared methylation patterns of DPSCs derived from children with chromosome 15q11.2-q13.3 maternal duplication (Dup15q) to controls. Differential methylation region (DMR) analyses revealed the expected Dup15q hypermethylation at the imprinting control region, as well as hypomethylation over SNORD116, and novel DMRs over 147 genes, including several autism candidate genes. Together these data suggest that DPSCs are a useful model for epigenomic and functional studies of human neurodevelopmental disorders. Stem Cells 2017;35:981-988.

Tethered Oligonucleotide-Primed Sequencing, TOP-Seq: A High-Resolution Economical Approach for DNA Epigenome Profiling

Modification of CG dinucleotides in DNA is part of epigenetic regulation of gene function in vertebrates and is associated with complex human disease. Bisulfite sequencing permits high-resolution analysis of cytosine modification in mammalian genomes; however, its utility is often limited due to substantial cost. Here, we describe an alternative epigenome profiling approach, named TOP-seq, which is based on covalent tagging of individual unmodified CG sites followed by non-homologous priming of the DNA polymerase action at these sites to directly produce adjoining regions for their sequencing and precise genomic mapping. Pilot TOP-seq analyses of bacterial and human genomes showed a better agreement of TOP-seq with published bisulfite sequencing maps as compared to widely used MBD-seq and MRE-seq and permitted identification of long-range and gene-level differential methylation among human tissues and neuroblastoma cell types. Altogether, we propose an affordable single CG-resolution technique well suited for large-scale epigenome studies.

Epigenomic and Functional Characterization of Junctophilin 3 (JPH3) as a Novel Tumor Suppressor Being Frequently Inactivated by Promoter CpG Methylation in Digestive Cancers.

Junctophilin (JPH) proteins stabilize junctional membrane complexes between plasma membrane and endoplasmic reticulum, also implicated in some human diseases. JPH3 mutations are linked to Huntington's disease-like 2 syndrome. Through epigenomic study of a colon cancer cell line pair (HCT116 and DKO), we identified JPH3 as a methylated novel tumor suppressor gene (TSG) candidate at 16q24. We further studied its epigenetic alterations and functions in digestive tumorigenesis. JPH3 expression at the RNA level was found to be frequently silenced or reduced in colorectal and gastric cancers due to its promoter CpG methylation, which is associated with tumor progression and poor survival of digestive cancer patients. Ectopic expression of JPH3 inhibited tumor cell growth in vitro and in vivo. JPH3 expression upregulated the cytosolic Ca2+ levels, and unfolded protein response gene expression upon endoplasmic reticulum stress. JPH3 also induced calpain activation and subsequent mitochondrial membrane depolarization and cell apoptosis. Thus, JPH3 was identified as a novel TSG methylated in colorectal and gastric tumors which promotes mitochondrial-mediated apoptosis, also as a potential metastasis and survival biomarker for digestive cancers.

The epigenetic landscape of Alu repeats delineates the structural and functional genomic architecture of colon cancer cells.

Cancer cells exhibit multiple epigenetic changes with prominent local DNA hypermethylation and widespread hypomethylation affecting large chromosomal domains. Epigenome studies often disregard the study of repeat elements owing to technical complexity and their undefined role in genome regulation. We have developed NSUMA (Next-generation Sequencing of UnMethylated Alu), a cost-effective approach allowing the unambiguous interrogation of DNA methylation in more than 130,000 individual Alu elements, the most abundant retrotransposon in the human genome. DNA methylation profiles of Alu repeats have been analyzed in colon cancers and normal tissues using NSUMA and whole-genome bisulfite sequencing. Normal cells show a low proportion of unmethylated Alu (1%–4%) that may increase up to 10-fold in cancer cells. In normal cells, unmethylated Alu elements tend to locate in the vicinity of functionally rich regions and display epigenetic features consistent with a direct impact on genome regulation. In cancer cells, Alu repeats are more resistant to hypomethylation than other retroelements. Genome segmentation based on high/low rates of Alu hypomethylation allows the identification of genomic compartments with differential genetic, epigenetic, and transcriptomic features. Alu hypomethylated regions show low transcriptional activity, late DNA replication, and its extent is associated with higher chromosomal instability. Our analysis demonstrates that Alu retroelements contribute to define the epigenetic landscape of normal and cancer cells and provides a unique resource on the epigenetic dynamics of a principal, but largely unexplored, component of the primate genome.

PRMT5 Transgenic Mice Develop Aggressive Lymphoblastic Lymphomas

Introduction: Emerging data collected from whole genome and epigenomic studies in solid and blood cancers has pointed toward dysregulation of chromatin remodelers as a unique class of cancer drivers. Next generation sequencing of lymphoma has identified several mutations affecting enzymes that regulate epigenetic control of gene expression. The epigenetic modifier protein arginine methyltransferase 5 (PRMT5) that has been shown to be essential for Epstein-Barr virus-driven B-cell transformation, is overexpressed in several histologic subtypes of B-cell non-Hodgkin's lymphomas (NHL) and is required for the driver activity of oncogenes such as MYC and NOTCH. While these findings suggest that PRMT5 may act as a driver of lymphomagenesis, definitive experiments to address its driver activity have yet to be performed. To address this question, we developed a transgenic mouse model by immunoglobulin m heavy chain enhancer/promoter (Em)-driven PRMT5 over expression in the lymphoid compartment of FVB/N mice.Methods: Eµ-hPRMT5 transgenic mice were created by injecting a vector containing floxed human PRMT5 under the control of the Eµ enhancer/promoter into FVB/N pronuclei that were implanted into pseudo-pregnant FVB/N mice. We obtained 5 founder lines demonstrating the presence of transgene construct by genotype PCR analysis of tail snip DNA. Founder mice were crossed with wild type FVB/N mice to obtain a F1 generation. Mice were followed clinically in standard pathogen-free housing until exhibiting phenotypic features at which time necropsy was performed. Immunophenotypic analysis was performed by flow cytometry, clonality by T cell receptor (TCR) Vb PCR, and pathology by hematoxylin-eosin staining and tissue micro-arrays developed for immunohistochemical staining (IHCS). Statistical significance was determined using a two-tail t-test and survival analysis conducted using Kaplan Meier curves.Results: F1 generation Eµ-hPRMT5 mice significantly overexpressed PRMT5 mRNA in unpurified splenocytes or bone marrow relative to non-transgenic mice (p-value < 0.001). Sorting B (CD19), NK (NK1.1) and T-cell (CD3) mononuclear subsets from splenocytes collected from Eµ-hPRMT5 mice (n=3/group) revealed PRMT5 mRNA to be overexpressed 37-fold (p-value <0.01), 7-fold (p-value <0.01) and 6-fold (p-value <0.05), respectively compared to WT FVB/N mice. All 5 founder lines were found to develop aggressive lymphomas at a statistically significant higher incidence compared to wild type (WT) FVB/N mice (range 10.7-34.6% lymphomagenesis). Gross anatomical characterization of Lymphoma bearing mice demonstrated focal lymphoid tumors, lymphadenopathy, organomegaly (liver, spleen, kidney), and malignant atypical lymphocytosis. Flow cytometric and IHCS studies showed features consistent with immature pre B and T lymphoblastic lymphomas (LL). Pre B LLs were characterized by high surface IgM, TdT and CD19 expression as analyzed by flow cytometry. Pre T LL demonstrated cytoplasmic CD3, TdT, and CD43 expression. We successfully developed a T LL cell line (Tg813) from a pre T-LL tumor isolated from a thymic tumor. Tg813 was clonal (Vb-17), demonstrated complex cytogenetic features, and over-expressed PRMT5, CYCLIN D1, CYCLIN D3, C-MYC transcript and protein, and the PRMT5 histone mark, symmetric (Me2)-H4R3. Inhibition of PRMT5 with a small molecule inhibitor, shRNA or genetic deletion using CRISPR/CAS9 PRMT5-specific gRNA (targeting exon 2) led to reduced proliferation, apoptosis and loss of CYCLIN D1 and C-MYC expression in Tg813. Engraftment of the Tg813 LL into both SCID and immunocompetent FVB/N mice led to disseminated lymphomas 21 days post-engraftment. In vivo induced expression of PRMT5 gRNA in CAS9+ Tg813 tumors is currently underway.Conclusions:The spontaneous lymphomagenesis observed in the Eµ-hPRMT5 transgenic mouse model supports the hypothesis that PRMT5 over-expression can provide sufficient driver activity for this disease. We describe a novel in vivo and in vitro model of PRMT5-driven LL that provides a useful platform for studying the biologic role of this epigenetic modifier in cancer and for development of PRMT5 targeted therapeutic approaches for lymphoma. DisclosuresBaiocchi:Essanex: Research Funding.

Clinical Next Generation Sequencing to Identify Novel Platelet Disorders

Inherited platelet disorders (IPDs) comprise a heterogeneous group of disorders with a complex genetic etiology, characterized by impairments in platelet formation, morphology and function. Since the implementation of next generation sequencing (NGS) in 2009, the gene list for diagnosis of IPDs rapidly expanded from 39 to 53 genes. A diagnostic high-throughput targeted NGS platform (referred to as ThromboGenomics; www.thrombogenomics.org.uk) was very recently described as an affordable DNA-based test of 76 genes to diagnose patients ’suspected of having a known inherited platelet, thrombotic or bleeding disorder’ (BPD). When the phenotype is strongly indicative of the presence of a particular disease etiology but the variants are unknown, sensitivity remains high (>90% based on 61 samples) while patients included with an uncertain disease such as delta storage pool disease, mostly receive no genetic diagnosis (only 10% a genetic diagnosis was obtained). Such IPDs should be included in gene discovery NGS programs such as the BRIDGE-BPD2 study. For this study, whole genome sequencing results of the DNA samples of nearly 1000 probands with uncharacterized IPDs, analyzed using assigned Human Phenotype Ontology (HPO) terms have helped to identify pathogenic variants in almost 20% of cases. New clustering algorithms to group cases with similar phenotypes have been used to identify two novel IPD genes (DIAPH1 and SRC2) and several putative ones. Still many IPD patients don’t receive a genetic diagnosis. A majority of cases either harbor pathogenic variants in unknown genes or in regulatory regions or are the result of a digenic mode of inheritance. NGS combined with data from RNA-seq, ChIP-seq, gene regulatory network analysis, epigenome, proteomics and mouse knock-out studies amongst others will also help explore the non-coding regulatory space and gene-gene interactions. Given the existence of many non-pathogenic variants in any individual’s genome, the main challenge faced by researchers when interpreting NGS data of an IPD case is determining which variants are causing the disorder.3Interpreting the functional consequences of novel rare variants is not easy and it is extremely important to apply rigorous standards when assigning pathogenicity. Clinical genomic data are the same as other complex medical data and should be interpreted by a multidisciplinary team comprising typically a statistical geneticist, clinical geneticist, and genetic counselors, who have the skills to interpret these results in the context of the test methodology, the theoretical background of genetics, Bayesian reasoning, and a myriad of other factors.1. Simeoni I, Stephens JC, Hu F, et al. A comprehensive high-throughput sequencing test for the diagnosis of inherited bleeding, thrombotic and platelet disorders. Blood. 2016; 127: 279.2. Turro E, Greene D, Wijgaerts A, et al. A dominant gain-of-function mutation in universal tyrosine kinase SRC causes thrombocytopenia, myelofibrosis, bleeding, and bone pathologies. Sci Transl Med. 2016;8:328.3. Lentaigne C, Freson K, Laffan MA, et al. Inherited platelet disorders: towards DNA-based diagnosis. Blood. 2016; 127: 2814. DisclosuresNo relevant conflicts of interest to declare.

Methylome evolution in plants.

Despite major progress in dissecting the molecular pathways that control DNA methylation patterns in plants, little is known about the mechanisms that shape plant methylomes over evolutionary time. Drawing on recent intra- and interspecific epigenomic studies, we show that methylome evolution over long timescales is largely a byproduct of genomic changes. By contrast, methylome evolution over short timescales appears to be driven mainly by spontaneous epimutational events. We argue that novel methods based on analyses of the methylation site frequency spectrum (mSFS) of natural populations can provide deeper insights into the evolutionary forces that act at each timescale.Electronic supplementary materialThe online version of this article (doi:10.1186/s13059-016-1127-5) contains supplementary material, which is available to authorized users.

Expression and epigenomic landscape of the sex chromosomes in mouse post-meiotic male germ cells.

Background During meiosis, the X and Y chromosomes are transcriptionally silenced. The persistence of repressive chromatin marks on the sex chromatin after meiosis initially led to the assumption that XY gene silencing persists to some extent in spermatids. Considering the many reports of XY-linked genes expressed and needed in the post-meiotic phase of mouse spermatogenesis, it is still unclear whether or not the mouse sex chromatin is a repressive or permissive environment, after meiosis.Results To determine the transcriptional and chromatin state of the sex chromosomes after meiosis, we re-analyzed ten ChIP-Seq datasets performed on mouse round spermatids and four RNA-seq datasets from male germ cells purified at different stages of spermatogenesis. For this, we used the last version of the genome (mm10/GRCm38) and included reads that map to several genomic locations in order to properly interpret the high proportion of sex chromosome-encoded multicopy genes. Our study shows that coverage of active epigenetic marks H3K4me3 and Kcr is similar on the sex chromosomes and on autosomes. The post-meiotic sex chromatin nevertheless differs from autosomal chromatin in its enrichment in H3K9me3 and its depletion in H3K27me3 and H4 acetylation. We also identified a posttranslational modification, H3K27ac, which specifically accumulates on the Y chromosome. In parallel, we found that the X and Y chromosomes are enriched in genes expressed post-meiotically and display a higher proportion of spermatid-specific genes compared to autosomes. Finally, we observed that portions of chromosome 14 and of the sex chromosomes share specific features, such as enrichment in H3K9me3 and the presence of multicopy genes that are specifically expressed in round spermatids, suggesting that parts of chromosome 14 are under the same evolutionary constraints than the sex chromosomes.ConclusionsBased on our expression and epigenomic studies, we conclude that, after meiosis, the mouse sex chromosomes are no longer silenced but are nevertheless regulated differently than autosomes and accumulate different chromatin marks. We propose that post-meiotic selective constraints are at the basis of the enrichment of spermatid-specific genes and of the peculiar chromatin composition of the sex chromosomes and of parts of chromosome 14.Electronic supplementary materialThe online version of this article (doi:10.1186/s13072-016-0099-8) contains supplementary material, which is available to authorized users.

Genome-wide methylation profiling of ovarian cancer patient-derived xenografts treated with the demethylating agent decitabine identifies novel epigenetically regulated genes and pathways.

BackgroundIn high-grade serous ovarian cancer (HGSOC), intrinsic and/or acquired resistance against platinum-containing chemotherapy is a major obstacle for successful treatment. A low frequency of somatic mutations but frequent epigenetic alterations, including DNA methylation in HGSOC tumors, presents the cancer epigenome as a relevant target for innovative therapy. Patient-derived xenografts (PDXs) supposedly are good preclinical models for identifying novel drug targets. However, the representativeness of global methylation status of HGSOC PDXs compared to their original tumors has not been evaluated so far. Aims of this study were to explore how representative HGSOC PDXs are of their corresponding patient tumor methylome and to evaluate the effect of epigenetic therapy and cisplatin on putative epigenetically regulated genes and their related pathways in PDXs.MethodsGenome-wide analysis of the DNA methylome of HGSOC patients with their corresponding PDXs, from different generations, was performed using Infinium 450 K methylation arrays. Furthermore, we analyzed global methylome changes after treatment of HGSOC PDXs with the FDA approved demethylating agent decitabine and cisplatin. Findings were validated by bisulfite pyrosequencing with subsequent pathway analysis. Publicly available datasets comprising HGSOC patients were used to analyze the prognostic value of the identified genes.ResultsOnly 0.6–1.0 % of all analyzed CpGs (388,696 CpGs) changed significantly (p < 0.01) during propagation, showing that HGSOC PDXs were epigenetically stable. Treatment of F3 PDXs with decitabine caused a significant reduction in methylation in 10.6 % of CpG sites in comparison to untreated PDXs (p < 0.01, false discovery rate <10 %). Cisplatin treatment had a marginal effect on the PDX methylome. Pathway analysis of decitabine-treated PDX tumors revealed several putative epigenetically regulated pathways (e.g., the Src family kinase pathway). In particular, the C-terminal Src kinase (CSK) gene was successfully validated for epigenetic regulation in different PDX models and ovarian cancer cell lines. Low CSK methylation and high CSK expression were both significantly associated (p < 0.05) with improved progression-free survival and overall survival in HGSOC patients.ConclusionsHGSOC PDXs resemble the global epigenome of patients over many generations and can be modulated by epigenetic drugs. Novel epigenetically regulated genes such as CSK and related pathways were identified in HGSOC. Our observations encourage future application of PDXs for cancer epigenome studies.Electronic supplementary materialThe online version of this article (doi:10.1186/s13073-016-0361-5) contains supplementary material, which is available to authorized users.

DNA Methylation Machinery in the Endometrium and Endometrial Cancer.

During the normal menstrual cycle, endometrial tissue undergoes many biochemical and morphological changes which are under the control of steroid hormone levels. DNA methylation plays a key role in gene expression regulation and influences functional changes in endometrial tissue. Eliminating senescent cells from the functional layer of the endometrium is mediated by apoptotic cell death, which helps maintain cellular homeostasis. Aberrant DNA methylation changes result in deregulation of important apoptotic proteins during endometrial carcinogenesis and thus apoptosis resistance development. Evading apoptosis is still a major problem in the successful treatment of endometrial cancer patients with advanced disease. Despite intensive study of the cancer epigenome, there is missing information about disrupted apoptotic gene regulation in DNA methylation levels. Therefore, it is necessary to spread our knowledge in the field of epigenetics to help us differentiate normal and cancer tissues and detect the early stages of cancer disease.

A Hierarchical Framework for State-Space Matrix Inference and Clustering.

In recent years, a large number of genomic and epigenomic studies have been focusing on the integrative analysis of multiple experimental datasets measured over a large number of observational units. The objectives of such studies include not only inferring a hidden state of activity for each unit over individual experiments, but also detecting highly associated clusters of units based on their inferred states. Although there are a number of methods tailored for specific datasets, there is currently no state-of-the-art modeling framework for this general class of problems. In this paper, we develop the MBASIC (Matrix Based Analysis for State-space Inference and Clustering) framework. MBASIC consists of two parts: state-space mapping and state-space clustering. In state-space mapping, it maps observations onto a finite state-space, representing the activation states of units across conditions. In state-space clustering, MBASIC incorporates a finite mixture model to cluster the units based on their inferred state-space profiles across all conditions. Both the state-space mapping and clustering can be simultaneously estimated through an Expectation-Maximization algorithm. MBASIC flexibly adapts to a large number of parametric distributions for the observed data, as well as the heterogeneity in replicate experiments. It allows for imposing structural assumptions on each cluster, and enables model selection using information criterion. In our data-driven simulation studies, MBASIC showed significant accuracy in recovering both the underlying state-space variables and clustering structures. We applied MBASIC to two genome research problems using large numbers of datasets from the ENCODE project. The first application grouped genes based on transcription factor occupancy profiles of their promoter regions in two different cell types. The second application focused on identifying groups of loci that are similar to a GATA2 binding site that is functional at its endogenous locus by utilizing transcription factor occupancy data and illustrated applicability of MBASIC in a wide variety of problems. In both studies, MBASIC showed higher levels of raw data fidelity than analyzing these data with a two-step approach using ENCODE results on transcription factor occupancy data.

Higher order methylation features for clustering and prediction in epigenomic studies

Higher order methylation features for clustering and prediction in epigenomic studies

Higher order methylation features for clustering and prediction in epigenomic studies.

DNA methylation is an intensely studied epigenetic mark, yet its functional role is incompletely understood. Attempts to quantitatively associate average DNA methylation to gene expression yield poor correlations outside of the well-understood methylation-switch at CpG islands. Here, we use probabilistic machine learning to extract higher order features associated with the methylation profile across a defined region. These features quantitate precisely notions of shape of a methylation profile, capturing spatial correlations in DNA methylation across genomic regions. Using these higher order features across promoter-proximal regions, we are able to construct a powerful machine learning predictor of gene expression, significantly improving upon the predictive power of average DNA methylation levels. Furthermore, we can use higher order features to cluster promoter-proximal regions, showing that five major patterns of methylation occur at promoters across different cell lines, and we provide evidence that methylation beyond CpG islands may be related to regulation of gene expression. Our results support previous reports of a functional role of spatial correlations in methylation patterns, and provide a mean to quantitate such features for downstream analyses. https://github.com/andreaskapou/BPRMeth G.Sanguinetti@ed.ac.uk Supplementary data are available at Bioinformatics online.

Genome-wide DNA methylation profiling with MeDIP-seq using archived dried blood spots.

BackgroundIn utero and early-life experienced environmental exposures are suggested to play an important role in many multifactorial diseases potentially mediated through lasting effects on the epigenome. As the epigenome in addition remains modifiable throughout life, identifying specific disease-relevant biomarkers may prove challenging. This has led to an increased interest in epigenome-wide association studies using dried blood spots (DBS) routinely collected in perinatal screening programs. Such programs are in place in numerous countries around the world producing large and unique biobanks. However, availability of this biological material is highly limited as each DBS is made only from a few droplets of blood and storage conditions may be suboptimal for epigenetic studies. Furthermore, as relevant markers may reside outside gene bodies, epigenome-wide interrogation is needed.ResultsHere we demonstrate, as a proof of principle, that genome-wide interrogation of the methylome based on methylated DNA immunoprecipitation coupled with next-generation sequencing (MeDIP-seq) is feasible using a single 3.2 mm DBS punch (60 ng DNA) from filter cards archived for up to 16 years. The enrichment profile, sequence quality and distribution of reads across genetic regions were comparable between samples archived 16 years, 4 years and a freshly prepared control sample.ConclusionsIn summary, we show that high-quality MeDIP-seq data is achievable from neonatal screening filter cards stored at room temperature, thereby providing information on annotated as well as on non-RefSeq genes and repetitive elements. Moreover, the quantity of DNA from one DBS punch proved sufficient allowing for multiple epigenome studies using one single DBS.Electronic supplementary materialThe online version of this article (doi:10.1186/s13148-016-0242-1) contains supplementary material, which is available to authorized users.

Evaluation of techniques for performing cellular isolation and preservation during microgravity conditions.

Genomic and epigenomic studies require the precise transfer of microliter volumes among different types of tubes in order to purify DNA, RNA, or protein from biological samples and subsequently perform analyses of DNA methylation, RNA expression, and chromatin modifications on a genome-wide scale. Epigenomic and transcriptional analyses of human blood cells, for example, require separation of purified cell types to avoid confounding contributions of altered cellular proportions, and long-term preservation of these cells requires their isolation and transfer into appropriate freezing media. There are currently no protocols for these cellular isolation procedures on the International Space Station (ISS). Currently human blood samples are either frozen as mixed cell populations (within the CPT collection tubes) with poor yield of viable cells required for cell-type isolations, or returned under ambient conditions, which requires timing with Soyuz missions. Here we evaluate the feasibility of translating terrestrial cell purification techniques to the ISS. Our evaluations were performed in microgravity conditions during parabolic atmospheric flight. The pipetting of open liquids in microgravity was evaluated using analog-blood fluids and several types of pipette hardware. The best-performing pipettors were used to evaluate the pipetting steps required for peripheral blood mononuclear cell (PBMC) isolation following terrestrial density-gradient centrifugation. Evaluation of actual blood products was performed for both the overlay of diluted blood, and the transfer of isolated PBMCs. We also validated magnetic purification of cells. We found that positive-displacement pipettors avoided air bubbles, and the tips allowed the strong surface tension of water, glycerol, and blood to maintain a patent meniscus and withstand robust pipetting in microgravity. These procedures will greatly increase the breadth of research that can be performed on board the ISS, and allow improvised experimentation by astronauts on extraterrestrial missions.

Age-driven developmental drift in the pathogenesis of idiopathic pulmonary fibrosis.

Idiopathic pulmonary fibrosis (IPF) is a progressive and usually lethal disease of unknown aetiology. A growing body of evidence supports that IPF represents an epithelial-driven process characterised by aberrant epithelial cell behaviour, fibroblast/myofibroblast activation and excessive accumulation of extracellular matrix with the subsequent destruction of the lung architecture. The mechanisms involved in the abnormal hyper-activation of the epithelium are unclear, but we propose that recapitulation of pathways and processes critical to embryological development associated with a tissue specific age-related stochastic epigenetic drift may be implicated. These pathways may also contribute to the distinctive behaviour of IPF fibroblasts. Genomic and epigenomic studies have revealed that wingless/Int, sonic hedgehog and other developmental signalling pathways are reactivated and deregulated in IPF. Moreover, some of these pathways cross-talk with transforming growth factor-β activating a profibrotic feedback loop. The expression pattern of microRNAs is also dysregulated in IPF and exhibits a similar expression profile to embryonic lungs. In addition, senescence, a process usually associated with ageing, which occurs early in alveolar epithelial cells of IPF lungs, likely represents a conserved programmed developmental mechanism. Here, we review the major developmental pathways that get twisted in IPF, and discuss the connection with ageing and potential therapeutic approaches.

Epigenomic maintenance through dietary intervention can facilitate DNA repair process to slow down the progress of premature aging.

DNA damage caused by various sources remains one of the most researched topics in the area of aging and neurodegeneration. Increased DNA damage causes premature aging. Aging is plastic and is characterised by the decline in the ability of a cell/organism to maintain genomic stability. Lifespan can be modulated by various interventions like calorie restriction, a balanced diet of macro and micronutrients or supplementation with nutrients/nutrient formulations such as Amalaki rasayana, docosahexaenoic acid, resveratrol, curcumin, etc. Increased levels of DNA damage in the form of double stranded and single stranded breaks are associated with decreased longevity in animal models like WNIN/Ob obese rats. Erroneous DNA repair can result in accumulation of DNA damage products, which in turn result in premature aging disorders such as Hutchinson-Gilford progeria syndrome. Epigenomic studies of the aging process have opened a completely new arena for research and development of drugs and therapeutic agents. We propose here that agents or interventions that can maintain epigenomic stability and facilitate the DNA repair process can slow down the progress of premature aging, if not completely prevent it. © 2016 IUBMB Life, 68(9):717-721, 2016.

Epigenome-wide Association Studies and the Interpretation of Disease -Omics

Epigenome-wide association studies represent one means of applying genome-wide assays to identify molecular events that could be associated with human phenotypes. The epigenome is especially intriguing as a target for study, as epigenetic regulatory processes are, by definition, heritable from parent to daughter cells and are found to have transcriptional regulatory properties. As such, the epigenome is an attractive candidate for mediating long-term responses to cellular stimuli, such as environmental effects modifying disease risk. Such epigenomic studies represent a broader category of disease -omics, which suffer from multiple problems in design and execution that severely limit their interpretability. Here we define many of the problems with current epigenomic studies and propose solutions that can be applied to allow this and other disease -omics studies to achieve their potential for generating valuable insights.