DNA methylation analysis of Colon Cancer cell line SW48
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Noel Raynal
PROVIDER: E-GEOD-34427 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Publications
DNA methylation does not stably lock gene expression but instead serves as a molecular mark for gene silencing memory.
Raynal Noël J-M NJ Si Jiali J Taby Rodolphe F RF Gharibyan Vazganush V Ahmed Saira S Jelinek Jaroslav J Estécio Marcos R H MR Issa Jean-Pierre J JP
Cancer research 20120104 5
DNA methylation is commonly thought of as a "molecular lock" that leads to permanent gene silencing. To investigate this notion, we tested 24 different histone deacetylase inhibitors (HDACi) on colon cancer cells that harbor a GFP locus stably integrated and silenced by a hypermethylated cytomegalovirus (CMV) promoter. We found that HDACi efficiently reactivated expression of GFP and many other endogenous genes silenced by DNA hypermethylation. After treatment, all promoters were marked with act ...[more]
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE34077: Colon Cancer cell line YB5 untreated cells vs YB5 treated 24h with Depsipeptide at 20 nM GSE34427: DNA methylation analysis of Colon Cancer cell line SW48 Refer to individual Series
2012-04-03 | E-GEOD-34429 | biostudies-arrayexpress
Project description:We analyzed levels of 5-methyl cytosine nnnn CCCGGG target sites by sequential restriction digest by SmaI and XmaI enzymes, ligating Illumina adaptors to the restriction fragments and reading methylation-specific signatures at the ends of restriction fragments by paired ends Illumina high throughput sequencing. Digital restriction enzyme analysis of methylation (DREAM) was performed to determine the methylation profile of SW48 colon cancer cell line genomic DNA. Genomic DNA spiked in with unmethylated, partially methylated and fully methylated standards was sequentially cut at CCCGGG sites with the methylation-sensitive enzyme SmaI (blunt ends) and its methylation-tolerant neoschizomer XmaI (5'CCGG overhangs), creating different end sequences that represented methylation status of the CCCGGG sites. These end sequences were analyzed by Illumina high throughput sequencing. Methylation status at individual CCCGGG sites across the genome was determined by counting the methylated reads with the CCGGG signature and unmethylated reads with the GGG signature at the beginnings of the sequencing reads after alignment to the human genome.
2015-09-08 | E-GEOD-66296 | biostudies-arrayexpress
Project description:Methylation profiles of pancreatic adenocarcinoma cell lines were compared with normal pancreatic ductal tissues Methylated CpG island amplification was followed by CpG island microarray
2011-06-04 | E-GEOD-29723 | biostudies-arrayexpress
Project description:Cellular differentiation involves widespread epigenetic reprogramming, including modulation of DNA methylation patterns. We have investigated DNA genome-wide methylation dynamics in embryonic stem cells, primary myoblasts, terminal differentiated myotubes and mature myofibers. About 1.000 differentially methylated regions (DMRs) have been indentified during muscle-lineage determination and terminal differentiation. As a whole, muscle lineage commitment was characterized by a major gain of DNA methylation, while muscle differentiation was accompanied by loss of DNA methylation in CpG-poor regions. Notably, hypomethylated regions in muscle cells were neighboured by enhancer-type chromatin, suggesting the involvement of DNA methylation in the regulation of cell-type specific enhancers. Indeed, one of the hypomethylations detected in muscle cells affected the super-enhancer of the master transcription factor Myf5. Super-enhancers have been defined as large clusters of transcriptional enhancers driving cell-identity and gene expression, but how these lineage-specific super-enhancers are specifically activated or repressed in different tissues is not well understood. We demonstrated that the binding of the transcription factor USF1 to Myf5 locus occurs upon DNA demethylation of the super-enhancer region in myogenic committed cells. Taken all together, we have characterized the unique DNA methylation signatures of muscle-committed cells and highlighted the importance of DNA methylation mediated regulation of cell identity super-enhancers. We have investigated DNA genome-wide methylation dynamics in embryonic stem cells, primary myoblasts, terminal differentiated myotubes and mature myofibers by AIMS-seq techniques and coupled to microarray expression data by SurePrint G3 Mouse 8x60K from Agilent Technologies. Samples were in triplicates, except for ESCs (quadruplicates).
2015-01-16 | E-GEOD-65037 | biostudies-arrayexpress
Project description:A large-scale characterization of the methylation states of candidate CpG islands (CGIs) throughout the gastric cancer methylome has not previously been conducted. Genome-wide DNA methylation profiles were compared between 4 metastatic and 4 non-metastatic gastric carcinomas (GCs) and their surgical margins (SMs). The GC genome showed significantly higher proportions of hypomethylation in the promoter and exon-1 regions, as well as increased hypermethylation of intragenic fragments when compared to SMs. Differential methylation was observed in CGIs near transcription start sites of 546 genes between GCs and SMs, and 601 genes between metastatic and non-metastatic GCs. From the list of differentially methylated CGIs, 68 candidate genes and 10 known tumor-related genes were selected for further characterization based on their known molecular function using DHPLC. Significant differential methylation was validated in the CGIs of 15 genes between GCs and SMs (Ps<0.05) and confirmed using bisulfite-sequencing. These genes include BMP3, BNIP3, CDKN2A, ECEL1, ELK1, GFRA1, HOXD10, KCNH1, PSMD10, PTPRT, SIGIRR, SRF, TBX5, TFPI2, and ZNF382. Hypomethylation of CGIs correlated with up-regulation of GFRA1 expression in GCs, while hypermethylation of other genes inactivated their transcription. Most importantly, prevalence of GFRA1, SRF, and ZNF382 methylation alterations were inversely and coordinately associated with GC metastasis and the patients’ overall survival throughout discovery and testing cohorts in China as well as independent validation cohorts in Japan and Korea. In conclusion, methylation changes in the CGIs of 15 genes correlated strongly with GC development. GFRA1 hypomethylation and SRF and ZNF382 hypermethylation are potential synergistic biomarkers for the prediction of GC metastasis. To identify differential methylation of CGIs related to GC development and metastasis, genome-wide DNA methylation changes in 8 pairs of GC and SM samples were analysed using the MCAM assay with a 99K custom-designed Agilent oligonucleotide microarray composed of 99,027 probes targeting 6,177 unique protein-coding genes containing at least two methylation-sensitive/insensitive SmaI/ XmaI restriction sites (CCC|GGG/ C|CmCGGG) as described in Shen et al, PLoS Genet 3, 2023-2036 (2007).
2014-06-02 | E-GEOD-47724 | biostudies-arrayexpress
Project description:Purpose: to characterize epigenetic changes following Twist1 mediated Epithelial-Mesenchymal Transition in human Methods: we characterized the epigenetic and transcriptome landscapes using whole genome transcriptome analysis by RNA-seq, DNA methylation by digital restriction enzyme analysis of methylation (DREAM) and histone modifications by CHIP-seq of H3K4me3 and H3K27me3 in immortalized human mammary epithelial cells relative to cells induced to undergo EMT by Twist1. Results: EMT is accompanied by focal hypermethylation and widespread global DNA hypomethylation, predominantly within transcriptionally repressed gene bodies. At the chromatin level, the number of gene promoters marked by H3K4me3 increases by more than one fifth; H3K27me3 undergoes dynamic genomic redistribution characterized by loss at half of gene promoters and overall reduction of peak size by almost one-half. This is paralleled by increased phosphorylation of EZH2 at serine 21. Among genes with highly altered mRNA expression, 23.1% switch between H3K4me3 and H3K27me3 marks, and those point to the master EMT targets and regulators CDH1, PDGFRA and ESRP1. Strikingly, Twist1 increases the number of bivalent genes by more than two fold. Inhibition of the H3K27 methyltransferases EZH2 and EZH1, which form part of the PRC2 complex, results in blocking EMT and stemness properties. Conclusion: Our findings demonstrate that the EMT program requires epigenetic remodeling by the Polycomb/Trithorax complexes leading to increased cellular plasticity which suggests that its inhibition will prevent EMT, and the associated breast cancer metastasis. DREAM profiles of human mammary epithelial cells before (HMLE_parental) and after Twist1 transfection (HMLE_Twist) were generated in monolayer (HMLE_Twist2D) and sphere culture by deep sequencing using Illumina GAIIx or Illumina hiseq2000. Furthermore, DREAM profile was also obtained in parental human mammary epithelial cells transfected with GFP
2013-12-10 | E-GEOD-53025 | biostudies-arrayexpress
Project description:We describe a simple method, Digital Restriction Enzyme Analysis of Methylation (DREAM), based on sequential DNA digestion with a pair of methylation-blocked and methylation-tolerant neoschizomeric restriction enzymes SmaI/XmaI followed by end repair and ultra-deep sequencing. DREAM provides information on 160,000 unique CpG sites of which 39,000 are in CpG islands, and 33,000 are at transcription start sites (-1 kb to +1 kb) of 13,139 RefSeq genes. We compared DNA methylation values in white blood cells from 4 healthy individuals and found them to be remarkably uniform. Interindividual differences >30% were observed only at 227 of 28,331 (0.8%) of autosomal CCCGGG sites covered by 100+ sequencing reads. Similarly, differences at only 59 sites were observed between the cord and adult blood. Conserved methylation patterns in healthy blood cells contrasted with extensive changes affecting 18-40% of CpG sites in leukemia. The method is cost effective, quantitative (r2=0.93 when compared to bisulfite pyrosequencing), reproducible (r2=0.997), and can detect differences >25% with false positive rate <0.001. Accurate analysis of changes in DNA methylation will be useful in quantifying epigenetic effects of environment and nutrition, correlating developmental epigenetic variation with phenotypes, understanding epigenetics of cancer and chronic diseases, measuring the effects of drugs on DNA methylation or deriving new biological insights into mammalian genomes. Digital restriction enzyme analysis of methylation (DREAM) was performed to determine the DNA methylation profiles of healthy white blood cells from cord blood and adult blood, acute myeloid leukemia bone marrow, and two leukemia cell lines (HEL and K562). In this approach, genomic DNA is sequentially cut at CCCGGG sites with the methylation-sensitive enzyme SmaI (blunt ends) and its methylation-tolerant neoschizomer XmaI (5'CCGG overhangs), creating different end sequences that represent methylation status of the CCCGGG sites. These end sequences are analyzed by next-generation sequencing, and thereafter the methylation status at individual CCCGGG sites across the genome can be determined.
2012-11-08 | E-GEOD-39787 | biostudies-arrayexpress
Project description:We report that full length TET1 (TET1-FL) overexpression fails to induce global DNA demethylation in HEK293T cells. The preferential binding of TET1-FL to hypomethylated CpG islands (CGIs) through its CXXC domain leads to its inhibited 5-hydroxymethylcytosine (5hmC) production as methylation level increases. TET1-FL-induced 5hmC accumulates at CGI edges, while TET1 knockdown induces methylation spreading from methylated edges into hypomethylated CGIs. However, TET1 can regulate gene transcription independent of its dioxygenase catalytic function. Thus, our results identify TET1 as a maintenance DNA demethylase that does not purposely decrease methylation levels, but specifically maintains the DNA hypomethylation state of CGIs in adult cells. Digital restriction enzyme analysis of methylation (DREAM) was performed to determine the DNA methylation profiles of HEK293T cells overexpressing mTET1-CD, TET1-CD, mTET1-FL, or TET1-FL. In this approach, genomic DNA is sequentially cut at CCCGGG sites with the methylation sensitive enzyme SmaI (blunt ends) and its methylation-tolerant neoschizomer XmaI (5M-bM-^@M-^YCCGG overhangs), creating different end sequences that represent methylation status of the CCCGGG sites. These end sequences are analyzed by next generation sequencing, and thereafter the methylation status at individual CCCGGG sites across the genome can be determined.
2014-06-04 | E-GEOD-44038 | biostudies-arrayexpress
Project description:Human epidemiologic and animal model data indicate that early environmental influences can persistently alter an individual’s risk of obesity. Environmental effects on hypothalamic developmental epigenetics provide a strong candidate mechanism to explain such ‘developmental programming’ of obesity. To advance our understanding of these processes, it is essential to determine to what extent the diversity of hypothalamic cell types is regulated by epigenetic differences, and when these are established. By performing genome-scale DNA methylation profiling in hypothalamic neurons and non-neuronal cells at postnatal day 0 (P0) and P21, we found that most of the DNA methylation differences distinguishing these two cell types are established postnatally. We found dramatic neuron-specific increases in DNA methylation from P0 to P21. Gene ontology analyses indicated that cell-type specific P0 to P21 methylation changes are key regulators of hypothalamic development. Quantitative bisulfite pyrosequencing verified our methylation profiling results in 16 of 16 selected regions. Expression differences were associated with DNA methylation in several genes analyzed. Our data indicate that future studies of hypothalamic epigenetics in developmental programming of obesity will gain far greater sensitivity and insight by examining outcomes at the cell-type specific level. Moreover, our results provide new evidence that early postnatal life is a critical period for murine hypothalamic developmental epigenetics. Hypothalami were dissected from inbred male C57 mice at postnatal day 0 (P0) and P21. Non-neuronal and neuronal nuclei were separated via fluorescence-activated sorting based on staining for the neuron-specific nuclear surface marker NeuN; each sample for sorting was comprised of 2 age-matched hypothalami. Genome-scale DNA methylation profiling was performed by methylation specific amplification coupled with next generation sequencing (MSA-seq) as decribed below (5 independent samples per age).
2013-10-01 | E-GEOD-48256 | biostudies-arrayexpress
Project description:Early postnatal overnutrition causes persistent dysregulation of endocrine pancreas function. We used genome-scale DNA methylation profiling in the suckling-period small litter (SL) mouse model to test whether this occurs via persistent epigenetic changes in pancreatic islets. Although SL islets showed DNA methylation changes directly after weaning and in adulthood, few of these were present at both ages, contrary to our hypothesis. Most interestingly, we discovered that genomic regions that are hypermethylated in exocrine relative to endocrine pancreas tend to gain methylation in islets during aging. Focusing on a subset of genes relevant to β cell function, we showed that these methylation differences are strongly correlated with expression. Together, our results provide the novel insight that DNA methylation changes that occur as islets age indicate an overall epigenetic drift toward the exocrine pancreas epigenome. These concerted shifts in the islet methylome could contribute to the age-associated decline in endocrine pancreas function. Pancreatic islets were isolated from P21/P180 SL or C mice. To ensure purity of islets, 3 rounds of manual picking were performed in each samples. Whole pancreas samples, ~98% of which is exocrine pancreas, were used as exocrine pancreas. There are 5 mice per group.
2014-12-03 | E-GEOD-63811 | biostudies-arrayexpress