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A histone hyperacetylation pulse induces cellular memory of gene expression and 3-dimensional genome folding [RNA-seq]

GSE280488 Mus musculus (mouse) RNA-seq (gene expression) 114 samples Submitted 2024/11/22 Platform GPL28457
At a glance

RNA-seq (gene expression) · mouse · 114 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
114 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 memory enables the stable propagation of gene expression patterns in response to transient developmental and environmental stimuli. Although 3-dimensional (3D) organisation is emerging as a key regulator of genome function due its role in gene expression control, it is unknown whether it contributes to cellular memory. Here, we establish that acute perturbation of the epigenome can induce cellular memory of gene expression in mouse embryonic stem cells (mESCs).
Read the full summary ↓
Specifically, we uncover how a pulse of histone deacetylase inhibition translates to changes in the histone acetylation and methylation landscape, as well as global and local genome folding. While most epigenomic and transcriptional changes are readily reversible once the perturbation is removed, architectural features are not fully reestablished. Upon a second transient pulse of hyperacetylation, hundreds of genes maintain their dysregulated state. Using ultra-deep Micro-C, we associate memory of gene expression with enhancer-promoter contacts and repressive chromatin topology mediated by Polycomb. These results uncover the complex interplay between different epigenetic regulatory layers and establish a novel link between genome folding and cellular memory.
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 GSE280488_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1117356 and SRA study SRP510225. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 114 more — browse all 114 samples with per-sample file links →

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