C42B RNA-seq
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE204999 | GEO | 2023/01/11
REPOSITORIES: GEO
Similar Datasets
Project description:We performed Hi-C, Micro-C, and capture Micro-C in human prostate cancer cells and compared chromatin interactions called using different methods. By integrating Micro-C with NOMe-seq, ChIP-seq, and RNA-seq, we investigated the relationships among nucleosome positioning of regulatory elements, chromatin interactions, and transcription. This work provides a framework for understanding the chromatin interactions among regulatory elements, nucleosome-depleted regions, and transcription.
2023-01-11 | GSE204996 | GEO
Project description:We performed Hi-C, Micro-C, and capture Micro-C in human prostate cancer cells and compared chromatin interactions called using different methods. By integrating Micro-C with NOMe-seq, ChIP-seq, and RNA-seq, we investigated the relationships among nucleosome positioning of regulatory elements, chromatin interactions, and transcription. This work provides a framework for understanding the chromatin interactions among regulatory elements, nucleosome-depleted regions, and transcription.
2023-01-11 | GSE204998 | GEO
Project description:We performed Hi-C, Micro-C, and capture Micro-C in human prostate cancer cells and compared chromatin interactions called using different methods. By integrating Micro-C with NOMe-seq, ChIP-seq, and RNA-seq, we investigated the relationships among nucleosome positioning of regulatory elements, chromatin interactions, and transcription. This work provides a framework for understanding the chromatin interactions among regulatory elements, nucleosome-depleted regions, and transcription.
2023-01-11 | GSE204997 | GEO
Project description:We performed Hi-C, Micro-C, and capture Micro-C in human prostate cancer cells and compared chromatin interactions called using different methods. By integrating Micro-C with NOMe-seq, ChIP-seq, and RNA-seq, we investigated the relationships among nucleosome positioning of regulatory elements, chromatin interactions, and transcription. This work provides a framework for understanding the chromatin interactions among regulatory elements, nucleosome-depleted regions, and transcription.
2023-01-11 | GSE204995 | GEO
Project description:DNA methylation and nucleosome positioning work together to generate chromatin structures that regulate gene expression. Nucleosomes are typically mapped using nuclease digestion requiring significant amounts of material and varying enzyme concentrations. We have developed a method (NOMe-seq) that uses a GpC methyltransferase (M.CviPI) and next generation sequencing to generate a high resolution footprint of nucleosome positioning genome-wide using less than 1 million cells while retaining endogenous DNA methylation information from the same DNA strand. Using a novel bioinformatics pipeline we show a striking anti-correlation between nucleosome occupancy and DNA methylation at CTCF regions, that is not present at promoters. We further show that the extent of nucleosome depletion at promoters is directly correlated to expression level and can accommodate multiple nucleosomes and provide genome-wide evidence that expressed non-CpG island promoters are nucleosome depleted. Importantly, NOMe-seq obtains DNA methylation and nucleosome positioning information from the same DNA molecule, giving the first genome-wide DNA methylation and nucleosome positioning correlation at the single molecule and thus, single cell level that can be used to monitor disease progression and response to therapy. Nucleosome Occupancy and Methylome-Sequencing (NOMe-Seq) on IMR90 cell line and 2 GBM cell lines
2012-09-12 | E-GEOD-40770 | biostudies-arrayexpress
Project description:Chromatin accessibility plays a key role in epigenetic regulation of gene activation and silencing. Open chromatin regions allow regulatory elements such as transcription factors and polymerases to bind for gene expression while closed chromatin regions prevent the activity of transcriptional machinery. Nucleosome occupancy and methylome sequencing (NOMe-seq) has been developed for simultaneously profiling of chromatin accessibility and DNA methylation on single molecules. In this study, we combined the principle of NOMe-seq with targeted bisulfite sequencing method to analyze the genome-wide nucleosome occupancy and chromatin accessibility in the promoter and enhancer regions of over 20,000 genes. In addition, we developed CAME, a seed-extension based approach that identifies chromatin accessibility from NOMe-seq. Our results show that our method not only can precisely identify chromatin accessibility but also outperforms other methods.
2016-09-13 | GSE86823 | GEO
Project description:Gaining insights into the regulatory mechanisms that underlie the pervasive transcriptional variation observed between individual cells necessitates the development of methods that measure chromatin organization in single cells. Nucleosome Occupancy and Methylome-sequencing (NOMe-seq) employs a GpC methyltransferase to detect accessible chromatin and has been used to map nucleosome positioning and DNA methylation genome-wide in bulk samples. Here I provide proof-of-principle that NOMe-seq can be adapted to measure chromatin accessibility and endogenous DNA methylation in single cells (scNOMe-seq). scNOMe-seq recovered characteristic accessibility and DNA methylation patterns at DNase Hypersensitive sites and enabled direct estimation of the number of accessible DHS sites within an individual cell. In addition, scNOMe-seq provided high resolution of chromatin accessibility within individual loci which was exploited to detect footprints of CTCF binding and to estimate the average nucleosome phasing distances in single cells.
2017-06-20 | GSE83882 | GEO
Project description:DNA methylation and nucleosome positioning work together to generate chromatin structures that regulate gene expression. Nucleosomes are typically mapped using nuclease digestion requiring significant amounts of material and varying enzyme concentrations. We have developed a method (NOMe-seq) that uses a GpC methyltransferase (M.CviPI) and next generation sequencing to generate a high resolution footprint of nucleosome positioning genome-wide using less than 1 million cells while retaining endogenous DNA methylation information from the same DNA strand. Using a novel bioinformatics pipeline we show a striking anti-correlation between nucleosome occupancy and DNA methylation at CTCF regions, that is not present at promoters. We further show that the extent of nucleosome depletion at promoters is directly correlated to expression level and can accommodate multiple nucleosomes and provide genome-wide evidence that expressed non-CpG island promoters are nucleosome depleted. Importantly, NOMe-seq obtains DNA methylation and nucleosome positioning information from the same DNA molecule, giving the first genome-wide DNA methylation and nucleosome positioning correlation at the single molecule and thus, single cell level that can be used to monitor disease progression and response to therapy.
2012-09-12 | GSE40770 | GEO
Project description:Cis-regulatory elements coordinate the regulation of their targeted genes’ expression. However, the joint measurement of cis-regulatory elements’ activities and their interactions in spatial proximity is limited by the current sequencing approaches. We describe a method, NOMe-HiC, which simultaneously captures single nucleotide polymorphisms, DNA methylation, chromatin accessibility (GpC methyltransferase footprints), and chromosome conformation changes from the same DNA molecule, together with the transcriptome, in a single assay. NOMe-HiC shows high concordance with state-of-the-art mono-omic assays across different molecular measurements and reveals coordinated chromatin accessibility at distal genomic segments in spatial proximity and novel types of long-range allele-specific chromatin accessibility.
2023-02-28 | GSE189158 | GEO
Project description:Nucleosome positioning dictates the DNA accessibility for regulatory proteins, and thus is critical for gene expression and regulation. It has been well documented that only a subset of nucleosomes are reproducibly positioned (phased) in eukaryotic genomes. The most prominent example of phased nucleosomes is the context of genes, where phased nucleosomes flank the transcriptional starts sites (TSSs). It is unclear, however, what factors influence nucleosome phasing in regions that are not close to genes. We performed a combinational mapping of nucleosome positioning and DNase I hypersensitive sites (DHSs) across the rice genome. We discovered that DHSs located in a variety of contexts, both genic and intergenic, were flanked by strongly phased nucleosome arrays. Our results support the barrier model for nucleosome organization as a general feature of eukaryote genomes, including plant genomes, and not limited to TSSs. Specifically, regions bound with regulatory proteins, including intergenic regions, can serve as barriers that organize phased nucleosome arrays on both sides. Our results also suggest that rice DHSs often span a single, phased nucleosome, similar to the H2A.Z-containing nucleosomes observed in DHSs in the human genome. We propose that genome-wide nucleosome positioning in the eukaryotic genomes is orchestrated by genomic regions associated with regulatory proteins. Rice chromatin was digested by micrococcal nuclease (MNase) into mono-nucleosome size. Mono-nucleosomal DNA was isolated and sequenced (MNase-seq) using Illumina sequencing platforms. We obtained a total of 38 million (M) single-end reads from our first MNase-seq experiment and mapped ~26 M to unique positions in the rice genome. We also conducted pair-end sequencing of an independent MNase-seq library, obtained 274 M paired-end reads, and mapped ~231 M read pairs to unique positions in the rice genome.We applied a strategy of combinational mapping of nucleosome positioning and DHSs (GSE26610) to examine whether nucleosome positioning is associated with all cis-regulatory elements in the rice genome. All datasets used in the analysis were developed using rice leaf tissue in the same developmental stage
2014-05-01 | E-GEOD-53027 | biostudies-arrayexpress