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Question: What is measured through the NOMe-Seq methodology?

Context: Using Nucleosome Occupancy Methylome- Sequencing, NOMe-Seq, a single-molecule, high-resolution nucleosome positioning assay, we demonstrate that active, but not inactive, non-CpG island promoters display a nucleosome-depleted region (NDR) immediately upstream of the transcription start site (TSS).
Using Nucleosome Occupancy Methylome- Sequencing, NOMe-Seq, a single-molecule, high-resolution nucleosome positioning assay, we demonstrate that active, but not inactive, non-CpG island promoters display a nucleosome-depleted region (NDR) immediately upstream of the transcription start site (TSS)
According to our genome-wide expression and DNA methylation profiles, we find that the complete re-activation of silenced genes requires the insertion of the histone variant H2A.Z, which facilitates the acquisition of regions fully depleted of nucleosome as demonstrated by NOMe-seq (Nucleosome Occupancy Methylome-sequencing) assay.
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.
Genome-wide mapping of nucleosome positioning and DNA methylation within individual DNA molecules.
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.
Here, we evaluate the scope of global epigenetic alterations at enhancers and insulator elements in prostate and breast cancer cells using simultaneous genome-wide mapping of DNA methylation and nucleosome occupancy (NOMe-seq).
Nucleosome Occupancy and Methylome sequencing (NOMe-seq) was used to determine the allele-specific positioning of nucleosomes around heterozygous splice site mutations in lymphoblastoid cells lines (LCLs) derived from six Lynch syndrome patients.
To address this we used Nucleosome Occupancy and Methylation sequencing (NOMe-seq) to compare the genome-wide DNA methylation and nucleosome occupancy profiles between normal and cancer cell line models of the breast and prostate.
Here we describe the bioinformatic pipeline and methods that we developed for the processing and analysis of the NOMe-seq data published by (Taberlay et al., 2014 [1]) and deposited in the Gene Expression Omnibus with accession GSE57498.
The NOMe-seq accessibility assay unexpectedly revealed symmetrical and transcription-independent nucleosomal phasing across active, poised, and inactive genomic elements.
TEPIC can be applied to various open-chromatin data, e.g. DNaseI-seq and NOMe-seq.
Finally, these scores correctly predict known transcriptional regulators as illustrated by the application to novel DNaseI-seq and NOMe-seq data for primary human hepatocytes and CD4+ T-cells, respectively.
Recently, Methyltransferase Accessibility Protocol for individual templates-Bisulfite Genome Sequencing (MAPit-BGS) and nucleosome occupancy and methylome sequencing (NOMe-seq) have been developed for simultaneously profiling chromatin accessibility and DNA methylation on single molecules.
Here I adapted Nucleosome Occupancy and Methylome-sequencing (NOMe-seq) to measure chromatin accessibility and endogenous DNA methylation in single cells (scNOMe-seq).
Recently, Methyltransferase Accessibility Protocol for individual templates-Bisulfite Genome Sequencing (MAPit-BGS) and nucleosome occupancy and methylome sequencing (NOMe-seq) have been developed for simultaneously profiling chromatin accessibility and DNA methylation on single molecules.
We develop a statistical method, epiG, to infer and differentiate between different epi-allelic haplotypes, annotated with CpG methylation status and DNA polymorphisms, from whole-genome bisulfite sequencing data, and nucleosome occupancy from NOMe-seq data.
In this study, we make progress toward understanding these conflicting phenomena by implementing a bioinformatics approach that combines MNase-seq and NOMe-seq data and by comprehensively profiling DNA methylation and nucleosome occupancy throughout the human genome.
Nucleosome Occupancy and Methylome sequencing (NOMe-seq) was used to determine the allele-specific positioning of nucleosomes around heterozygous splice site mutations in lymphoblastoid cells lines (LCLs) derived from six Lynch syndrome patients.
Here, we evaluate the scope of global epigenetic alterations at enhancers and insulator elements in prostate and breast cancer cells using simultaneous genome-wide mapping of DNA methylation and nucleosome occupancy (NOMe-seq).
Nucleosome positioning and DNA methylation