Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genome-wide mapping of nucleosome positioning and DNA methylation within Individual DNA molecules

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE40770 | GEO | 2012/09/12

SECONDARY ACCESSION(S): PRJNA174848

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Genome-wide mapping of nucleosome positioning and DNA methylation within Individual DNA molecules

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

The transcriptome and chromatin accessbility landscape of mammalian germline

Project description:We first isolate the PGCs from the Oct4-Gfp knock-in mice, and KIT-positive PGCs from the post-implantation human fetus. Then we use the Nome-seq (Nucleosome Occupancy and Methylome Sequencing), using a in vitro GpC methyltransferase (M.CviPI) and next generation sequencing to generate the endogenous DNA methylation information and chromatin accessibility of the same DNA molecules in these mammalian germ cells.

2016-11-14 | GSE79552 | GEO

Noncoding RNA-mediated DNA methylation directs nucleosome positioning

Project description:We explored the mechanism by which RdDM affects nucleosome positioning in Arabidopsis thaliana. We showed that POLV has a direct effect on nucleosomes through the SWI/SNF complex. We found that the AGO4-siRNA complex is involved in nucleosome positioning via IDN2. Moreover, the SWI/SNF complex is not required for DNA methylation in positioned nucleosomes. Instead, we found that DNA methylation is needed for nucleosome positioning in differentially methylated regions. Taken together, we propose a model where the RdDM pathway directs nucleosome positioning through DNA methylation to establish transcriptional gene silencing.

2023-04-06 | GSE148173 | GEO

Comparison of nucleosome occupancy and chromatin states between normal and cancer cell lines

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

Relationship between nucleosome positioning and DNA methylation: Bisulfite-Seq, ChIP-Seq, and Mnase-Seq

Project description:Nucleosomes compact and regulate access to DNA in the nucleus, and are composed of approximately 147 bases of DNA wrapped around a histone octamer. Here we report a genome-wide nucleosome positioning analysis of Arabidopsis thaliana utilizing massively parallel sequencing of mononucleosomes. By combining this data with profiles of DNA methylation at single base resolution, we identified ten base periodicities in the DNA methylation status of nucleosome-bound DNA and found that nucleosomal DNA was more highly methylated than flanking DNA. These results suggest that nucleosome positioning strongly influences DNA methylation patterning throughout the genome and that DNA methyltransferases preferentially target nucleosome-bound DNA. We also observed similar trends in human nucleosomal DNA suggesting that the relationships between nucleosomes and DNA methyltransferases are conserved. Finally, as has been observed in animals, nucleosomes were highly enriched on exons, and preferentially positioned at intron-exon and exon-intron boundaries. RNA Pol II was also enriched on exons relative to introns, consistent with the hypothesis that nucleosome positioning regulates Pol II processivity. We also found that DNA methylation enriched on exons, consistent with the targeting of DNA methylation to nucleosomes.

2010-05-29 | GSE21821 | GEO

Relationship between nucleosome positioning and DNA methylation: ChIP-chip

Project description:Nucleosomes compact and regulate access to DNA in the nucleus, and are composed of approximately 147 bases of DNA wrapped around a histone octamer1, 2. Here we report a genome-wide nucleosome positioning analysis of Arabidopsis thaliana utilizing massively parallel sequencing of mononucleosomes. By combining this data with profiles of DNA methylation at single base resolution, we identified ten base periodicities in the DNA methylation status of nucleosome-bound DNA and found that nucleosomal DNA was more highly methylated than flanking DNA. These results suggest that nucleosome positioning strongly influences DNA methylation patterning throughout the genome and that DNA methyltransferases preferentially target nucleosome-bound DNA. We also observed similar trends in human nucleosomal DNA suggesting that the relationships between nucleosomes and DNA methyltransferases are conserved. Finally, as has been observed in animals, nucleosomes were highly enriched on exons, and preferentially positioned at intron-exon and exon-intron boundaries. RNA Pol II was also enriched on exons relative to introns, consistent with the hypothesis that nucleosome positioning regulates Pol II processivity. We also found that DNA methylation enriched on exons, consistent with the targeting of DNA methylation to nucleosomes.

2010-05-29 | GSE21818 | GEO

Relationship between nucleosome positioning and DNA methylation: ChIP-chip

2010-05-28 | E-GEOD-21818 | biostudies-arrayexpress

Relationship between nucleosome positioning and DNA methylation: Bisulfite-Seq, ChIP-Seq, and Mnase-Seq

2010-05-29 | E-GEOD-21821 | biostudies-arrayexpress

Simultaneous measurement of chromatin accessibility, DNA methylation, and nucleosome phasing in single cells

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

Intrinsic histone-DNA interactions are not the major determinant of nucleosome positions in vivo

Project description:We assess the role of intrinsic histone-DNA interactions by mapping nucleosomes assembled in vitro on genomic DNA. Nucleosomes strongly prefer yeast DNA over E. coli DNA, indicating that the yeast genome evolved to favor nucleosome formation. Many yeast promoter and terminator regions intrinsically disfavor nucleosome formation, and nucleosomes assembled in vitro display strong rotational positioning. Nucleosome arrays generated by the ACF assembly factor display fewer nucleosome-free regions, reduced rotational positioning, and less translational positioning than obtained by intrinsic histone-DNA interactions. Importantly, in vitro assembled nucleosomes display only a limited preference for specific translational positions and do not show the pattern observed in vivo. Our results argue against a genomic code for nucleosome positioning, and they suggest that the nucleosomal pattern in coding regions arises primarily from statistical positioning from a barrier near the promoter that involves some aspect of transcriptional initiation by RNA polymerase II.

2009-07-15 | GSE15188 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data