High resolution maps of nucleosome position and interactions [II]
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1270064 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR33773725_1.fastq.gz | Fastqsanger.gz | |||
| SRR33773725_2.fastq.gz | Fastqsanger.gz | |||
| SRR33773726_1.fastq.gz | Fastqsanger.gz | |||
| SRR33773726_2.fastq.gz | Fastqsanger.gz | |||
| SRR33773727_1.fastq.gz | Fastqsanger.gz |
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Project description:Genome wide patterns of histone modifications in fission yeast Keywords: High resolution maps of nucleosome modifications
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Project description:Genomes are packaged into nucleosomes whose position and modification state can profoundly influence regulation of gene expression. We have established new ChIP-based high-resolution genome-wide maps of histone acetylation and methylation that take into account changes in nucleosome occupancy at actively transcribed genes. These maps provide a more accurate picture of nucleosome occupancy and the nature of modifications associated with transcriptional activity in this eukaryotic genome. We describe the combination of modifications that occur at the average transcribed gene.
2005-08-25 | E-WMIT-3 | biostudies-arrayexpress
Project description:We describe a Hi-C based method, Micro-C, in which micrococcal nuclease is used instead of restriction enzymes to fragment chromatin, enabling nucleosome resolution chromosome folding maps. Analysis of Micro-C maps for budding yeast reveals abundant self-associating domains similar to those reported in other species, but not previously observed in yeast. These structures, far shorted than topologically-associating domains in mammals, typically encompass one to five genes in yeast. Strong boundaries between self-associating domains occur at promoters of highly transcribed genes, and regions of rapid histone turnover that are typically bound by the RSC chromatin-remodeling complex. Investigation of chromosome folding in mutants confirms roles for RSC, “gene looping” factor Ssu72, Mediator, H3K56 acetyltransferase Rtt109, and N-terminal tail of H4 in folding of the yeast genome. This approach provides detailed structural maps of a eukaryotic genome and our findings provide insights into the machinery underlying chromosome compaction. Chromatin is fragmented by Mnase, subsequenct nucleosomal end repair, and a modified two-step method for purfiying ligation products. Using Illumina paired-end sequencing maps Micro-C library and generates nucleosome resolution contact maps. The readme.txt file contains additional description of how each processed data file was generated.
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Project description:Genome-wide nucleosome position data for wildtype and mutant strains in S. cerevisiae, C. albicans, and S. pombe
2011-08-01 | GSE28839 | GEO
Project description:The nucleosome signature reflects the cellular epigenetic memory and contributes to the cellular phenotype and function. Obesity and type 2 diabetes pathogenesis is largely dependent on environmentally-induced epigenetic modifications and is marked by skeletal muscle insulin resistance; however, no in vivo skeletal muscle nucleosome maps exist to date. Herein, whole genome nucleosome maps via MNase-seq in skeletal muscle of mice on a low fat, high fat or high fat diet with the chromatin modifier sodium butyrate show that complex interactions among mitochondrial function, the tissue microenvironment, cellular phenotype and nucleosome landscape determine whole body phenotype and insulin resistance.
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Project description:The nucleosome signature reflects the cellular epigenetic memory and contributes to the cellular phenotype and function. Obesity and type 2 diabetes pathogenesis is largely dependent on environmentally-induced epigenetic modifications and is marked by skeletal muscle insulin resistance; however, no in vivo skeletal muscle nucleosome maps exist to date. Herein, whole genome nucleosome maps via MNase-seq in skeletal muscle of mice on a low fat, high fat or high fat diet with the chromatin modifier sodium butyrate show that complex interactions among mitochondrial function, the tissue microenvironment, cellular phenotype and nucleosome landscape determine whole body phenotype and insulin resistance. Skeletal muscle samples (n=5 per group) were pooled after homogenization under liquid nitrogen with a motar and pestle to give one sample per group for MNase-seq
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Project description:Genome-wide nucleosome position data for 3 yeast species
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Project description:Genome-wide nucleosome position data for 12 yeast species
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Project description:Nucleosomes are part of the first level of chromatin packaging. They each consist of a histone heterooctamer around which DNA wraps 1.6 times. The histone heterooctomamer is made up of two copies of histones 2A, 2B, 3 and 5. The segment of DNA wrapped around the histones, the so-called "core" fragment, is 147 base pairs long. Neighboring nucleosomes are separated from one another by a stretch of DNA called the "linker," whose size varies depending on organism, cell type, and even chromatin activity. Certain chromatin remodeling factors govern accessibility of DNA to regulatory proteins by repositioning nucleosomes to reveal regulatory sites that would otherwise be occluded by a nucleosome. In contrast to histone modifications such as methylation or acetylation, which are investigated by ChIP-seq, nucleosome positioning data are generated without immunoprecipitation (see Methods below). Instead, micrococcal nuclease is used to digest chromatin to apparent completion, the (well-defined and clearly visible) mononucleosomal core fragment fraction is isolated by gel purification, and one end is then sequenced. Mapping the sequence tag back to the genome reveals the precise position of one end of the core fragment that was protected by the nucleosome; the position of the other end can then simply be inferred by extending the read to a virtual length of 147 bases. Statistical analyses such as occupancy and positioning stringency can then be employed to analyze the local nucleosome landscape anywhere in the (mappable) genome or to infer global parameters of nucleosome organization. In the context of the ENCODE project, nucleosome positioning data are particularly valuable for analysis of the relationship between transcription factor binding, histone modifications, and gene activity. For a general primer on these types of data and analyses, refer to Valouev et al. (2008). For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf To isolate mononucleosome core DNA fragments from the GM12878 and K562 ENCODE cell lines we followed the micrococcal nuclease (MNase) digestion and isolation protocol as described in Johnson et al. (2006), Valouev et al. (2008), and Valouev et al. (2011) with the following modifications. The precise concentrations of the two flash-frozen cell samples received from the Snyder Lab were not known so, per our standard procedure, we performed a series of digestions titrating the amount of MNase to determine the concentration of MNase for optimal digestion of each sample. Final concentrations of 25 U/µL and 50 U/µL of MNase were used to digest the GM12878 cells and K562 cells respectively at 20°C for 12 min. All other steps in the digestion and isolation protocol were as described. Cells were grown according to the approved ENCODE cell culture protocols (http://hgwdev.cse.ucsc.edu/ENCODE/protocols/cell). K562 and GM12878 were each grown to ~2.5×108 cells. The cells were harvested, frozen and the nucleosome core isolation followed (Valouev et al. 2008). The SOLiD reads were mapped in color-space with the probabilistic mapper, DNAnexus (https://dnanexus.com/). The DNAnexus mapper measures and propagates mapping uncertainty by including both quality values and mismatches in the alignment score calculation. The scores are then scaled across all possible mappings of the read to estimate the posterior probability for alignment to each genomic location. Reads corresponding to posterior probability of correct mapping > 0.9 were reported. Nucleosome density signal maps (bedgraph and bigwig files) were generated by first shifting reads by 74 bp in the 5´ to 3´ direction and counting the total number of reads starting at each genomic coordinate on both strands. These counts are then smoothed using un-normalized kernel density smoothing with a triweight kernel. A bandwidth of 30 bp is used which is equivalent to a smoothing window of 60 bp. The smoothed counts at each position are then divided by the expected number of reads from an equivalent uniform distribution of reads in a ± 30 bp window around that position. If less than 25% of the positions in a ± 30 bp window around a genomic location are uniquely mappable or if the location is part of an assembly gap, the signal value at that position is considered unreliable and not recorded in the signal files. Hence, genomic coordinates that do not have any associated signal value should be considered missing or unreliable data. Genomic coordinates associated with a signal value of 0 are reliably mapable but do not have any signal in the dataset.
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Project description:Here, we present Methyltransferase Targeting-based chromosome Architecture Capture (MTAC), a method that maps the contacts between a target site (viewpoint) and the rest of the genome with high resolution and sensitivity. By targeting M.CviPI DNA methyltransferase to the viewpoint and by detecting differentially methylated regions, MTAC detects hundreds of intra- and inter-chromosomal interactions in the budding yeast genome that cannot be captured by 4C, Hi-C, or Micro-C.
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