Bait-capture based single molecule footprinting on ES cells and derivatives
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Charles Girardot
PROVIDER: E-MTAB-9123 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Single Molecule Footprinting (SMF) data from Sonmezer et al., 2020. SMF data is obtained by treating isolated nuclei with methyltransferases, where binding of proteins on DNA, e.g. nucleosomes and TFs, leave behind unmethylated cytosines as footprints. Data in this experiment comprises SMF data obtained from ES cells and various derivatives of ES cells, such DNMT-null, REST-knockout ES cells, neural progenitors and ES cells treated with NRF1 sirNA.
2020-12-26 | E-MTAB-9033 | biostudies-arrayexpress
Project description:Bait-capture based Single Molecule Footprinting (SMF) data from Kreibich et al., 2022. SMF data is obtained by treating extracted nuclei with a GpC methyltransferase, where binding of proteins on DNA, e.g. nucleosomes and transcription factors (TFs), leave behind unmethylated GpCs as footprints. Data in this experiment comprises SMF data obtained from WT embryonic stem cells (ES), DNMT TKO ES, TET TKO ES, F1 hybrid ES (129/CAST), neural progenitor (NP),�myoblast (C2C12) and�murine erythroleukemia (MEL)�cells. These data were generated by employing Agilent Sure-Select Mouse Methyl-Seq kit, enriching the sample for cis-regulatory regions of the mouse genome prior to library preparation. Thus, these data contain high coverage accessibility information at regulatory loci in different cell types. The SMF procedure maintains the endogenous DNA methtylation in CpG context, allowing the simultaneous detection of chromatin accessibility, TF binding and endogenous DNA methylation.
2023-02-06 | E-MTAB-11700 | biostudies-arrayexpress
Project description:Placental gene expression is a finely controlled process, yet little is known about the factors that regulate it, including epigenetic factors such as DNA methylation. In this study, we quantified the effects of DNA methylation on placental gene expression. Using targeted high throughput sequencing, we generated methylation profiles of 3.7 million CpG dinucleotides from 6 karyotypically normal CVS samples and compared these to gene expression data obtained from a publically available database. We found a broad association between methylation and gene expression at both the chromosome and individual gene levels. At the chromosome level, we found alternating domains of high and low methylation. Within each gene, we found distinct methylation patterns at different regulatory genetic elements. For example, the promoters of highly expressed genes were neither highly methylated, nor completely unmethylated. Rather, they had < 50% of the CG dinucleotides in their sequences in the methylated state. In contrast, promoters of unexpressed genes tended to be either highly methylated or fully unmethylated. Similarly, patterns of methylation in exons and introns differed between highly expressed and unexpressed genes. Our data show that the relationship between DNA methylation and gene expression is nuanced: highly expressed and unexpressed genes differ, not only by their extent of methylation, but also by minute changes in the locations of their methylation sites. DNA methylation analysis of placental genes may help predict abnormal placental gene expression and pregnancy complications, making it a possible tool for prenatal diagnosis. DNA from 6 chorionic villus samples from the 1st trimester (from 3 male and 3 female fetuses) as well as 3 maternal blood cell samples was extracted, hybridized to probes in the Agilent SureSelectXT Methyl-Seq Target Enrichment kit, targeting 84Mb of the genome and then bisulfite converted before sequencing.
2016-06-25 | E-GEOD-58826 | biostudies-arrayexpress
Project description:We exploited six paired pre-treatment and post-chemotherapy circulating tumour cell patient-derived explant (CDX) models from donors with extensive stage SCLC to investigate changes at disease progression after chemotherapy. WES data from the patient germ line and from the biopsy of the solid tumour is reported in this submission and RNASeq data from these models is reported previously (E-MTAB-8465 - RNA of Small Cell Lung Cancer Circulating Tumour Cells Derived Explants). Both chemo naive and progression models were taken from patients and their drug sensitivity tested within the mouse models. Blood samples were taken from patients, and RosetteSep CTC Enrichment was used to implant these cells into mice. Tumours were allowed to grow, then extracted and re-implanted into second and third generations of mice, before finally being subjected to molecular profiling.
2021-09-15 | E-MTAB-10880 | biostudies-arrayexpress
Project description:Background: Epigenetic modification is a hallmark of cancer cells achieved through altered patterns of DNA methylation, histone modifications and nucleosome positions. These events have only been described in detail at gene promoters. Results: Here, we integrate multiple epigenome-wide maps to evaluate the scope of global epigenetic reprogramming in cancer cells at enhancers and insulators. Using high-resolution simultaneous mapping of global DNA methylation and nucleosome positions within individual DNA strands (NOMe-Seq), we observe a reorganization of the DNA methylome coupled with simultaneous modulation of nucleosome depleted regions (NDRs) at distal regulatory elements in cancer cells. We show that while NDRs are preferentially found at enhancers in normal breast and prostate epithelial cells, there are fewer NDRs coupled with increased DNA methylation detected at enhancersin cancer cells. Our data suggests that the acquisition of a nucleosome is key to DNA hypermethylation susceptibility and contributes to epigenetic silencing of enhancers in cancer, which can notably occur without loss of H3K4me1. Further we observe that NDRs are not necessary for peripheral phasing of adjacent nucleosomes, contrary to the common dogma, and show that nucleosomes remain organized and phased, even in the absence of a NDR as an anchor. Finally we observe the potential for transcription factors (TF) to organize NDRs genome-wide; all TF-binding sites are strongly hypomethylated and some show extensive peripheral nucleosome phasing. Conclusion: Together our findings suggest that, in addition to epigenetic alterations to promoter regions in cancer, there is substantial disruption to the distal regulatory architecture that provides an additional layer of epigenetic plasticity in malignancy. NOMe-seq, ChIP-seq for 5 marks and input control for breast normal (HMEC), breast cancer (MCF7), prostate normal (PrEC) and prostate cancer (PC3) cell lines
2014-06-04 | E-GEOD-57498 | biostudies-arrayexpress
Project description:Whole exome sequencing of a cell line derived from an Rb1 and Trp53 genetically engineered mouse model (GEMM) to assess the baseline copy number landscape of the cells prior to experimental modification.
2019-07-09 | E-MTAB-7412 | biostudies-arrayexpress
Project description:Introduction: Prenatal and postnatal cigarette smoke exposure enhances the risk of developing asthma. Despite this as well as other smoking related risks, 11% of women still smoke during pregnancy. We hypothesized that cigarette smoke exposure during prenatal development generates long lasting differential methylation altering transcriptional activity that correlates with disease. Methods: In a house dust mite (HDM) model of allergic airway disease, we measured airway hyperresponsiveness (AHR) and airway inflammation between mice exposed prenatally to cigarette smoke (CS) or filtered air (FA). DNA methylation and gene expression were then measured in lung tissue. Results: We demonstrate that HDM-treated CS mice develop a more severe allergic airway disease compared to HDM-treated FA mice including increased AHR and airway inflammation. While DNA methylation changes between the two HDM-treated groups failed to reach genome-wide significance, 99 DMRs had an uncorrected p-value < 0.001. 6 of these 99 DMRs were selected for validation, based on the immune function of adjacent genes, and only 2 of the 6 DMRs confirmed the bisulfite sequencing data. Additionally, genes near these 6 DMRs (Lif, Il27ra, Tle4, Ptk7, Nfatc2, and Runx3) are differentially expressed between HDM-treated CS mice and HDM-treated FA mice. Conclusions: Our findings confirm that prenatal exposure to cigarette smoke is sufficient to modify allergic airway disease, however, it is unlikely that specific methylation changes account for the exposure-response relationship. These findings highlight the important role in utero cigarette smoke exposure plays in the development of allergic airway disease. Lung DNA methylation profiles of mice exposed in utero to cigarette smoke (CS) then treated with house dust mite (HDM, n = 8) or saline (n = 6), or exposed in utero to filtered air (FA) then treated with HDM (n = 9) or saline (n = 6)
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Project description:Genome-wide association studies have been tremendously successful in identifying genetic variants associated with complex diseases. The majority of association signals are intergenic and evidence is accumulating that a high proportion of signals lie in enhancer regions.We use Capture Hi-C to investigate, for the first time, the interactions between associated variants for four autoimmune diseases and their functional targets in B- and T-cell lines. Here we report numerous looping interactions and provide evidence that only a minority of interactions are common to both B- and T-cell lines, suggesting interactions may be highly cell-type specific; some disease-associated SNPs do not interact with the nearest gene but with more compelling candidate genes (for example, FOXO1, AZI2) often situated several megabases away; and finally, regions associated with different autoimmune diseases interact with each other and the same promoter suggesting common autoimmune gene targets (for example, PTPRC, DEXI and ZFP36L1). Capture Hi-C was carried out to characterise the interactions of confirmed susceptibility loci for four autoimmune diseases: rheumatoid arthritis (RA), type 1 diabetes (T1D), psoriatic arthritis (PsA) and juvenile idiopathic arthritis (JIA) with the aim of linking associated variants with disease-causing genes. We have tested the interactions in two complementary experiments: the first, Region Capture, targets regions associated with disease; the second, Promoter Capture, provides independent validation through capturing all known promoters within 500kb of lead associated disease SNPs. All experiments were performed in human T-cell (Jurkat) and B-cell (GM12878) lines in duplicate.
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Project description:DNA methylation was measured by MBD2 enrichment of DNA fragments in IMR90. A statistical model was developed to estimate absolute methylation levels, and compared to whole genome bisulfite sequencing results (Lister, R. et al. (2009) Human DNA methylomes at base resolution show widespread epigenomic differences. Nature) Two techincal replicates of MBD2 methylated DNA enrichment in IMR90 cells.
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