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Integrated mapping of the dog epigenome (ChIP-seq)

ABSTRACT: Integrated mapping of the dog epigenome (ChIP-seq)

PROVIDER: PRJNA838586 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR19225200_1.fastq.gz	Fastqsanger.gz
	SRR19225200_2.fastq.gz	Fastqsanger.gz
	SRR19225201_1.fastq.gz	Fastqsanger.gz
	SRR19225201_2.fastq.gz	Fastqsanger.gz
	SRR19225202_1.fastq.gz	Fastqsanger.gz

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Integrated mapping of the dog epigenome

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Project description:Dogs have become a valuable model in exploring multifaceted diseases and biology relevant to human health. Despite large-scale dog genome projects producing high-quality draft references, a comprehensive annotation of functional elements is still lacking. We addressed this through integrative next-generation sequencing of transcriptomes paired with five histone marks and DNA methylome profiling across 11 tissue types, deciphering the dog’s epigenetic code by defining distinct chromatin states, super-enhancer and methylome landscapes, and thus showed that these regions are associated with a wide range of biological functions and cell/tissue identity. In addition, we confirmed that the phenotype-associated variants are enriched in tissue-specific regulatory regions and, therefore, the tissue of origin of the variants can be traced. Ultimately, we delineated conserved and dynamic epigenomic changes at the tissue- and species-specific resolutions. Our study provides an epigenomic blueprint of the dog that can be used for comparative biology and medical research.

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2008-04-20 | E-GEOD-10969 | biostudies-arrayexpress

Integrated mapping of the dog epigenome

Project description:This SuperSeries is composed of the SubSeries listed below.

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Highly integrated epigenome maps in Arabidopsis - methylcytosine immunoprecipitation

Project description:Part of a set of highly integrated epigenome maps for Arabidopsis thaliana. Keywords: methylcytosine ChIP-chip on tiling array

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Mapping Nanoscale-to-Single Cell Phosphoproteomic Landscape by Chip-DIA

Project description:Mapping dynamic protein phosphorylation within trace samples deciphers cellular heterogeneity in signaling events and network activations for better understanding biology and disease mechanisms. We present a Chip-DIA strategy combining a microfluidic chip and data-independent acquisition mass spectrometry (DIA-MS) for sensitive nanoscale-to-single cell phosphoproteomic profiling.

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