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Crotonate-activated histone H3K14 crotonylation enhances intestinal regeneration after injury [ChIP-seq]

GSE278970 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 16 samples Submitted 2025/08/13 Platform GPL17021
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 16 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
16 samples: 16 samples, each with a distinct title — no replicated groupsGroups 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.
Paper
Crotonate enhances intestinal regeneration after injury via HBO1-mediated H3K14 crotonylationNature communications · 2025
Summary (written by the submitters)
The intestinal epithelium undergoes rapid turnover driven by Lgr5+ intestinal stem cells (ISCs) at the crypt base, and can recover despite ISC loss during damage. However, the role of epigenetic modifications in regulating this regeneration remains unclear. In this study, we report that H3K14 crotonylation (H3K14cr), a vital histone modification mediated by the acyltransferase HBO1, is essential for intestinal regeneration. HBO1 ablation in the intestinal epithelium exacerbates dextran sulfate sodium (DSS)-induced colitis.
Published in
Crotonate enhances intestinal regeneration after injury via HBO1-mediated H3K14 crotonylation
Xiao Y, Yu S, Zhang M et al. · Nature communications 2025 · PMID 41038843 · doi:10.1038/s41467-025-63869-2
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 GSE278970_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 PRJNA1169859 and SRA study SRP537254. Searching any of these in the dataset finder brings you back here.

Study design
16 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 16 sample titles: 16 distinct titles with little repetition. 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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