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

GSE19889 Homo sapiens (human) DNA methylation 7 samples Submitted 2010/05/16 Platform GPL9115
At a glance

DNA methylation · human · 7 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Samples
7 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
In higher eukaryotes, histone methylation is involved in the maintenance of cellular identity during somatic development. During spermatogenesis, Since most nucleosomes are replaced by protamines during spermatogenesis . Iit is therefore unclear whether if histone modifications function in paternal transmission of epigenetic information.
Read the full summary ↓
Here we show that H3K4 di-methylation (H3K4me2) and H3K27 tri-methylation (H3K27me3), two modifications important for Trithorax and Polycomb-mediated gene regulation, display methylation-specific distributions at regulatory regions in human spermatozoa. H3K4 dimethylation H3K4me2-marksed promoters of genes relevant control gene functions in spermatogenesis and cellular homeostasis suggesting that this mark reflects germline transcription. In contrast, H3K27 trimethylation (H3K27me3) marks promoters of key developmental regulators in sperm like in somatic cells. Promoters of orthologous genes are similarly modified in mouse spermatozoa. Further, particularly genes with extensive H3K27me3 coverage around transcriptional start sites are never expressed during male and female gametogenesis, nor in pre-implantation embryos. These data are compatible with a function for Polycomb in repressing somatic determinants across generations. Importantly, however, we observe only modest selective retention of nucleosomes at regulatory regions in human sperm suggesting that paternal transmission of H3K27me3-encoded epigenetic information may be subjected to variegation.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, 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, or the whole study as GSE19889_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA124021 and SRA study SRP002182. Searching any of these in the dataset finder brings you back here.

Samples in this study

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