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Repressive and active histone methylation mark distinct promoters in human and mouse spermatozoa (Nimblegen)

GSE13863 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 6 samples Submitted 2010/05/16 Platform GPL7751
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 6 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
6 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
In higher eukaryotes, histone methylation is involved in the maintenance of cellular identity during somatic development. During spermatogenesis, most nucleosomes are replaced by protamines. Therefore, it is unclear if histone modifications function in paternal transmission of epigenetic information. Here we show that active H3K4 di-methylation (H3K4me2) and repressive H3K27 tri-methylation (H3K27me3), two modifications important for Trithorax and Polycomb-mediated gene regulation, are present in chromatin of human spermatozoa and show methylation-specific distributions at regulatory regions.
Read the full summary ↓
H3K4me2-marked promoters control gene functions in spermatogenesis and cellular homeostasis suggesting that this mark reflects germline transcription. In contrast, H3K27me3 marks promoters of key developmental regulators in sperm as in soma. Many H3K27me3-marked genes are never expressed in the male and female germline, and in early “totipotent” embryos, suggesting a function for Polycomb in repressing somatic determinants across generations. Targets of H3K4me2 and H3K27me3 are also modified in mouse spermatozoa, implicating an evolutionary conserved role for histone methylation in chromatin inheritance via the male germline.
This dataset
Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE13863_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA123771. Searching any of these in the dataset finder brings you back here.

Samples in this study

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