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Engineered amphiregulin promotes tissue healing via multiple mechanisms following acute injury

GSE328352 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2026/05/28 Platform GPL30173
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 12 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
Homo sapiens (human)
Samples
12 samples: 4 × PBS-treated negative control, vs 4 × Inflammatory cytokine-treated only, vs 4 × Inflammatory cytokine and engineered AREG-treated,Groups 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)
Amphiregulin (AREG), a growth factor expressed by immune cells, has emerged as an important mediator of tissue healing; however, its therapeutic potential remains elusive. Here, we engineered an optimized AREG (eAREG) that promotes robust skin repair and muscle regeneration in murine models. We found that eAREG improves tissue healing following acute injury via multiple synergistic mechanisms.
Read the full summary ↓
These pro-regenerative effects were preserved in diabetic mice with elevated inflammation and impaired healing. Together, these findings identify eAREG as a promising regenerative biologic for multiple injury types.
This dataset
Open GSE328352 in finder → Find more human 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 GSE328352_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 PRJNA1454820. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × PBS-treated negative control, vs 4 × Inflammatory cytokine-treated only, vs 4 × Inflammatory cytokine and engineered AREG-treated,

Supports a between-group comparison across 12 samples.

How we read this: 3 replicated groups read from 12 sample titles; they account for 12 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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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.