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Ultra-low-input native ChIP-seq data of four germ-cell types during mouse spermatogenesis

ABSTRACT: Ultra-low-input native ChIP-seq data of four germ-cell types during mouse spermatogenesis

PROVIDER: PRJNA566429 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR10148908_1.fastq.gz	Fastqsanger.gz
	SRR10148908_2.fastq.gz	Fastqsanger.gz
	SRR10148909_1.fastq.gz	Fastqsanger.gz
	SRR10148909_2.fastq.gz	Fastqsanger.gz
	SRR10148910_1.fastq.gz	Fastqsanger.gz

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Ultra-low-input native ChIP-seq data of four germ-cell types during mouse spermatogenesis

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ltra-low-input native ChIP-seq and Whole genome bisulfite Sequencing data of four types mouse spermatogenesis

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Project description:The development of combined chromatin immunoprecipitation and next generation sequencing (ChIP-seq) technologies has enabled genome-wide epigenetic profiling of numerous cell lines and tissue types. A major limitation of ChIP-seq, however, is the large number of cells required to generate high quality datasets, precluding the study of rare cell populations. Here, we present an ultra-low-input micrococcal nuclease-based native ChIP (ULI-NChIP) and sequencing method, to generate genome-wide histone mark profiles with high resolution and reproducibility from as few as one thousand cells. Using ULI-NChIP, we generated high quality maps of several covalent histone marks from 10^3-10^6 embryonic stem cells. To further validate our procedure we demonstrate that genome-wide H3K27me3 profiles generated from 10^3 E13.5 primordial germ cells (PGCs) using ULI-NChIP-seq show high similarity to recently generated datasets using 50-180× more material, illustrating the utility of this method for generating high quality libraries with improved complexity from rare cell populations.

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