Differential roles of Stella in the modulation of DNA methylation during oocyte and zygotic development
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE122829 | GEO | 2018/11/22
REPOSITORIES: GEO
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Project description:In order to obtain genome-wide profiles, base-resolution methylomes of zygotes were generated using the bisulfite sequencing (BS-seq) method for small samples. We find that global loss of DNA methylation during zygotic development in HFD mice. A total of 412 DMRs were identified, of which 294 were hypomethylated (hypo-DMRs; 71.4%) and 118 were hypermethylated (hyper-DMRs; 28.6%) (Fig. 6A and 6B), showing a predominance of hypo-DMRs. Furthermore, we show that hyper-DMRs are significantly depleted from CGI, but enriched in short interspersed elements (SINEs) and non-CGI regions. Strikingly, hypo-DMRs are specifically depleted from SINEs, with a concurrent enrichment in DNA transposons.
2017-03-28 | GSE97109 | GEO
Project description:We report the application of MeDIP sequencing technology for high-throughput profiling of M2 and M1 phenotype U937 cells. A total of 260 differentially methylated regions (DMRs) within promotor regions were identified, with 191 hyper-methylated and 69 hypo-methylated every chromosome. These DMRs were then further examined using GO analysis, with the top10 most enriched GO terms for both the hyper- and hypo-methylation groups isolated. The processes associated with hyper-methylation included the regulation of protein processes (targeting, processing, maturation and localization) and tyrosine phosphorylation of STAT5 protein, while the hypo-methylated processes included the regulation of epithelial to mesenchymal transition, mesenchymal cell differentiation and epithelial to mesenchymal transition. When further analyzing the regulation of tyrosine STAT5 phosphorylation, three associated genes (IL-31RA, IL-3, and NF2) previous shown to be associated with tumor or cancer development were also identified, thus suggesting that hyper-methylation may be important during M2 polarization into M1 cells. The epithelial to mesenchymal transition (EMT) process has been long accepted to be associated with cancer metastasis and malignance. Herein, four genes (TGFB1I1, TWIST1, HPN, and PHLDB2) that have been previously reported to participate in cancer invasion and metastasis were hypo-methylated during the EMT process, thus suggesting that these hypo-methylation sites might be a potential therapeutic target to control cancer metastasis. Moreover, the hyper-methylation was found to be predominantly localized to membranes, including the leading edge membrane, whole membrane, endoplasmic reticulum-Golgi intermediate compartment membrane, recycling endosome membrane and ruffle membrane, whereas the hypo-methylation was predominantly localized to the cytoskeleton, cell junction and cell cortex. These findings also suggest a potential ability for epigenetic therapy due to both the membrane and cytoskeleton being feasible targets for therapeutic chemical or antibody targeting. When performing pathway enrichment analysis for the hyper-methylated genes, fatty acid biosynthesis, ubiquitin mediated proteolysis, mRNA surveillance and AMPK signaling pathways were enriched; while for the hypo-methylated genes, pathways associated with cancers, such as tight junction, VEGF signaling, cAMP signaling, proteoglycans and Ras signaling pathways were enriched during polarization from M2 to M1 cells
2022-03-01 | GSE128006 | GEO
Project description:DNA methylation at the 5-postion of cytosine (5mC) is a well-established epigenetic modification which regulates gene expression and cellular plasticity in development and disease. The ten-eleven translocation (TET) gene family is able to oxidize 5mC to 5-hydroxmethylcytosine (5hmC), providing an active mechanism for DNA demethylation, and may also provide its own regulatory function. Here we applied oxidative bisulfite sequencing to generate whole-genome DNA methylation and hydroxymethylation maps at single-base resolution in paired human liver and lung normal and cancer. We found that 5hmC is significantly enriched in CpG island (CGI) shores while depleted in CGS themselves, in particular at active genes, resulting in a 5hmC but not 5mC bimodal distribution around CGI corresponding to H3K4me1 marks. Hydroxymethylation on promoters, gene bodies, and transcription termination regions showed strong positive correlation with gene expression within and across tissues, suggesting that 5hmC is a mark of active genes and could play a role gene expression mediated by DNA demethylation. Comparative analysis of methylomes and hydroxymethylomes at differentially methylated regions (DMRs) revealed that 5hmC is significantly enriched in both tissue specific DMRs (t-DMRs) and cancer specific DMRs (c-DMRs), and 5hmC is negatively correlated with methylation changes, particularly in non-CGI associated DMRs. Analysis of differentially methylated regions (DMRs) in normal and tumor tissues revealed that gain or loss of 5hmC negatively correlated with changes in 5mC, especially on non-CGI associated DMRs, suggesting a profound role for hydroxymethylation in regulation of dynamic DNA demethylation. Together these findings indicate that changes in 5mC as well as in 5hmC and coupled to H3K4me1 correspond to differential gene expression in tissues and matching tumors, revealing an intricate gene expression regulation through interplay of methylome, hydroxymethylome, and histone modifications.
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Project description:DNA methylation at the 5-postion of cytosine (5mC) is a well-established epigenetic modification which regulates gene expression and cellular plasticity in development and disease. The ten-eleven translocation (TET) gene family is able to oxidize 5mC to 5-hydroxmethylcytosine (5hmC), providing an active mechanism for DNA demethylation, and may also provide its own regulatory function. Here we applied oxidative bisulfite sequencing to generate whole-genome DNA methylation and hydroxymethylation maps at single-base resolution in paired human liver and lung normal and cancer. We found that 5hmC is significantly enriched in CpG island (CGI) shores while depleted in CGS themselves, in particular at active genes, resulting in a 5hmC but not 5mC bimodal distribution around CGI corresponding to H3K4me1 marks. Hydroxymethylation on promoters, gene bodies, and transcription termination regions showed strong positive correlation with gene expression within and across tissues, suggesting that 5hmC is a mark of active genes and could play a role gene expression mediated by DNA demethylation. Comparative analysis of methylomes and hydroxymethylomes at differentially methylated regions (DMRs) revealed that 5hmC is significantly enriched in both tissue specific DMRs (t-DMRs) and cancer specific DMRs (c-DMRs), and 5hmC is negatively correlated with methylation changes, particularly in non-CGI associated DMRs. Analysis of differentially methylated regions (DMRs) in normal and tumor tissues revealed that gain or loss of 5hmC negatively correlated with changes in 5mC, especially on non-CGI associated DMRs, suggesting a profound role for hydroxymethylation in regulation of dynamic DNA demethylation. Together these findings indicate that changes in 5mC as well as in 5hmC and coupled to H3K4me1 correspond to differential gene expression in tissues and matching tumors, revealing an intricate gene expression regulation through interplay of methylome, hydroxymethylome, and histone modifications.
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Project description:To investigate the global DNA methylation changes in mouse hematopoietic stem cell aging, we performed whole-genome bisulfite sequencing (WGBS). We generated 1,494 million (4mo HSCs), and 1,493 million (24mo HSCs) raw reads; about 82.6% and 84.3%, respectively, were successfully aligned to either strand of the reference genome (mm9). Of all the cytosines present in the reference genome sequence, about 93% of Cs and 99% of CGs were covered in both datasets, with an average coverage of 46-fold (4mo) and 50-fold (24mo). In contrast to the age-associated hypomethylation observed in studies of somatic cells, mentioned above, HSCs showed an increase of methylation with age. The average methylation level over all 16 million covered CpGs increased from 83.5% in young (4mo) HSC to 84.6% in old (24mo) HSC. We observed a total of 448,166 differentially methylated CpGs (DMCs), defined as those having a 20% or more difference in methylation ratio, of which 38.5% (172,609) were hypomethylated (hypo-DMCs) and 61.5% (275,557) were hypermethylated (hyper-DMCs) with aging. For different genomic features, a slightly greater DNA methylation ratio increase was observed for the gene body, LINEs and SINEs, while CGIs and promoters showed balanced increases and decreases. Localization analysis of DMCs indicates that DNA encoding for ribosome RNA (rDNA) is primarily a hotspot for hypo-DMCs, while promoters without CpG islands, CpG island shores and LINE repetitive elements exhibit both hypo- and hyper-DMCs. Mouse hematopoietic stem cell DNA methylation profiles of 4 month and 24 month old WT mice were generated generated by deep sequencing, in duplicate, using Illumina Hiseq 2000.
2014-04-30 | E-GEOD-47815 | biostudies-arrayexpress
Project description:Chronic hepatitis C virus (HCV) infection is a leading cause of liver cancer. HCV propagation and oncogenicity depend in part on the phosphorylation states of its non-structural protein 5A (NS5A); however, little is known about how hypo- or hyper-phosphorylated NS5A functions. Here, we segregated hypo- from hyper-phosphorylated NS5A in HCV-infected Huh7.5.1 cells with two custom-made specific antibodies and differentiated their interacting proteins with dimethyl labeling-based quantitative proteomics. Bioinformatics analysis revealed that hyper-phosphorylated NS5A preferentially binds the polymerase II-associated factor 1 complex known to alter host gene expression involved in cancer progression. In contrast, hypo-phosphorylated NS5A binds proteins involved in host antiviral response. Moreover, we found that the hypo-phosphorylated NS5A binds DNA-dependent protein kinase catalytic subunit (DNA-PKcs) predicted to phosphorylate NS5A at serine 232, a key amino acid that governs NS5A transition from hypo- to hyper-phosphorylation state. Inhibition of DNA-PKcs with an inhibitor or via gene-specific knockdown significantly reduced serine 232 phosphorylation and NS5A hyper-phosphorylation. Collectively, we have identified a protein kinase that regulates a delicate balance of NS5A between hypo- and hyper-phosphorylation states respectively involved in host antiviral responses and liver cancer progression.
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Project description:I-motifs (iMs) are four-stranded non-B DNA structures containing C-rich DNA sequences, which can be formed under various pH conditions. DNA methylation exhibits complex impacts on iM formation in vitro. However, how DNA methylation differentially affects pH dependent iM formation on a genome wide scale is completely uncharacterized in both humans and plants. To this end, we conducted iM-IP-seq under pH 5.5 and 7.0 conditions using CK and hyper/hypomethylated DNA in combination with BS-seq in rice. We found that pH 7.0 and 5.5 biased iMs had distinct genomic features and differential DNA methylation levels, the former having higher DNA methylation levels than the latter. Moreover, DNA demethylation and hyper methylation had more impacts on a subset of iM formation under pH 7.0 and 5.5, respectively, indicating that DNA de/hyper-methylation exhibits pH dependent impacts on iM formation. Importantly, we found that CG hypo-DMRs and CHH hyper-DMRs alone or coordinated with CG/CHG hyper-DMRs may play determinant roles in the regulation of iM formation under pH 5.5 and 7.0. Thus, our study shows that intrinsic DNA sequences alone or in combination with DNA methylation play vital roles in determining pH-dependent formation of iMs. It will contribute to in-depth understanding of DNA methylation in the modulation of pH dependent dynamics of iM conformation, therefore broadening its biological implications and practical application ranges.
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Project description:I-motifs (iMs) are four-stranded non-B DNA structures containing C-rich DNA sequences, which can be formed under various pH conditions. DNA methylation exhibits complex impacts on iM formation in vitro. However, how DNA methylation differentially affects pH dependent iM formation on a genome wide scale is completely uncharacterized in both humans and plants. To this end, we conducted iM-IP-seq under pH 5.5 and 7.0 conditions using CK and hyper/hypomethylated DNA in combination with BS-seq in rice. We found that pH 7.0 and 5.5 biased iMs had distinct genomic features and differential DNA methylation levels, the former having higher DNA methylation levels than the latter. Moreover, DNA demethylation and hyper methylation had more impacts on a subset of iM formation under pH 7.0 and 5.5, respectively, indicating that DNA de/hyper-methylation exhibits pH dependent impacts on iM formation. Importantly, we found that CG hypo-DMRs and CHH hyper-DMRs alone or coordinated with CG/CHG hyper-DMRs may play determinant roles in the regulation of iM formation under pH 5.5 and 7.0. Thus, our study shows that intrinsic DNA sequences alone or in combination with DNA methylation play vital roles in determining pH-dependent formation of iMs. It will contribute to in-depth understanding of DNA methylation in the modulation of pH dependent dynamics of iM conformation, therefore broadening its biological implications and practical application ranges.
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Project description:We report the application of single molecule-based sequencing technology in combination with MBD affinity purifcation (MAP-seq) to generate methylation maps in a panel of human brain samples. Here we assay the methylation status of the human genome in eight distinct brain regions from three individuals in addition to a further thirty six hippocampal samples. The cerebellum was a consistent outlier compared to all other regions, showing over 16,000 differentially methylated regions (DMRs). Unexpectedly, the sequence properties of hypo- and hyper- methylated domains in cerebellum were distinct. In contrast we found very few DMRs that could distinguish between regions of the cortex, limbic system and brain stem. Inter-individual DMRs were readily detectable, however with the exception of cerebellum, DNA methylation patterns are more similar between different brain regions from the same individual, than they are for a single brain region between different individuals.
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