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Modulation of HDAC activity directly reprogramme embryonic stem cell to trophoblast stem cell [ChIP-Seq]

GSE193085 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 11 samples Submitted 2024/03/18 Platform GPL21273
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 11 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
11 samples: 5 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
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)
Embryonic stem cells (ESCs) can differentiate into all cell types of each of the embryonic germ layers. ESCs can also generate totipotent 2C-like cells and trophectodermal cells. However, these latter transitions occur at low frequency due to epigenetic barriers, the nature of which are not fully understood. Here, we show that mouse ESCs treated with sodium butyrate, an HDAC inhibitor, have a greatly increased 2C-like cell population and can transdifferentiate into trophoblast stem cells (TSCs).
Read the full summary ↓
Interestingly, this ESC to TSC transition is a direct reprogramming event that does not require transition through a 2C-like state. Mechanistically, butyrate inhibits Class I histone deacetylases activities in LSD1-HDAC1/2 corepressor complex, increasing acetylation levels in the regulatory regions of 2C and TSC specific genes. Importantly, butyrate treated cells acquire the capacity to generate blastocyst-like structures that can develop beyond the implantation stage in vitro and induce decidualization in vivo. These results uncover how epigenetic changes can expand the potency of ESCs.
This dataset
Open GSE193085 in finder → Find more mouse ChIP / ATAC / CUT&Tag datasets →
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.

Series matrix ↓
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 GSE193085_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA794742 and SRA study SRP353629. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly in duplicate
ES_-2D_H3K27ac ×2 ES+NaB_+2D_H3K27ac ×2 ES_-2D_H3K9ac ×2 ES+NaB_+2D_H3K9ac ×2 ES+NaB_+2D_Input ×2 ES_-2D_Input ×1

Supports a between-group comparison across 10 samples.

How we read this: 5 replicated groups read from 11 sample titles; they account for 10 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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