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Proper chromatin programming during spermatogenesis is required for embryonic development

GSE55471 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 7 samples Submitted 2015/11/03 Platform GPL13112
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 7 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
Mus musculus (mouse)
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)
Epigenetic mechanisms including DNA methylation, non-coding RNAs and histone modifications control gene expression. Studies suggest that a father's lifetime experiences can be transmitted to his offspring to affect development and health. The mechanisms underlying such epigenetic inheritance are unknown. A potential route for paternal transmission is the unique chromatin composition of spermatozoa.
Read the full summary ↓
Unlike somatic cells and oocytes, most nucleosomes in sperm are replaced with protamine nucleoproteins. The role of residual nucleosomes, residing at gene regulatory sequences, for epigenetic control of embryonic development is unknown. Here we generated a transgenic mouse model in which over-expression of the histone H3 lysine 4 (H3K4) demethylase LSD1/KDM1A during spermatogenesis alters H3K4 methylation in sperm. Strikingly, KDM1A over-expression in one generation causes severe embryonic defects in non-transgenic descendants spanning three subsequent generations. We show for the first time that correct histone methylation homeostasis during spermatogenesis is critical for offspring development and survival over multiple generations.
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 GSE55471_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 peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA239699 and SRA study SRP039082. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 7 more — browse all 7 samples with per-sample file links →

Datasets on a similar topic

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