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Parallel analysis of H3K9ac reveals Dux-dependent 2C activation deficiency in mouse SCNT embryos

GSE143523 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 59 samples Submitted 2020/10/15 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 59 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
59 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)
Somatic cell nuclear transfer (SCNT) enables gaining of totipotency by reprogramming nuclei of terminally differentiated donor cell. Recent studies have clearly demonstrated that intervention of epigenetic networks can significantly elevate both in vitro and in vivo development potential of NT embryos. Specifically, trichostatin A (TSA), a kind of histone deacetylase inhibitors (HDACi), was proved to functionally works during cloning in various mammal systems.
Read the full summary ↓
However, how it modulates histone acylation lacks careful illustration. Here, we systematically evaluate the effect and limitation of TSA during SCNT embryo development by generating genome-wide H3K9ac maps. In addition, a Dux-dependent 2-cell (2C) activation deficiency is observed in SCNT embryos as compared with their natural fertilized counterparts. Strikingly, a refined Dux supplement can successfully assist SCNT embryos in overcoming the 2C activation defect and further promotes the overall cloning efficiency. Together, our study for the first time reveals the regulation mechanism of histone marker H3K9ac in SCNT and provides the new insight of Dux during embryogenesis.
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 GSE143523_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 PRJNA600888 and SRA study SRP241716. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 59 more — browse all 59 samples with per-sample file links →

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