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Targeting the Epigenome Reduces Keloid Fibroblast Cell Proliferation, Migration and Invasion

GSE232079 Homo sapiens (human) RNA-seq (gene expression) 28 samples Submitted 2024/07/23 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 28 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
Homo sapiens (human)
Samples
28 samples: 22 distinct titles, 6 of them repeatedGroups 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
Targeting the Epigenome Reduces Keloid Fibroblast Cell Proliferation, Migration, and InvasionThe Journal of investigative dermatology · 2025
Summary (written by the submitters)
Keloids are pathological fibroproliferative scars resulting from abnormal collagen deposition within and beyond the margins of the initial cutaneous insult. Keloids negatively impact quality of life cosmetically and functionally and have unsatisfactory treatment modalities with adverse side effects and high reoccurrence rates. Recent studies indicate that epigenetic dysregulation is involved in the development and progression of keloids, suggesting that this could be a viable therapeutic target.
Read the full summary ↓
The purpose of this study was to evaluate epigenetic targeting drugs, HDACi, LSD1i, Corin, and A-485, as potential therapies for keloids using in-vitro model systems with patient-derived keloid fibroblasts. Results demonstrated that both dual-acting CoREST inhibitor, corin, and HDAC inhibitor, MS-275, reduced fibroblast proliferation more than the LSD1 inhibitor. Corin was the most effective inhibitor of keloid fibroblast migration and invasion across keloid cell lines and primary cells. RNA-seq analysis showed that corin treatment upregulated a significant number of genes with an enrichment in neural differentiation and cell adhesion gene sets. Specifically, corin increased the expression of claudins, which may cause increased cell adhesion and contribute to corin-induced reductions in migration and invasion. Corin downregulated gene sets involved in cell cycle progression, confirmed by reductions in Cyclin A1 and Cyclin B2 at the protein level compared to DMSO. These results highlight the significant role for epigenetic regulation in pathogenic keloid fibroblasts properties and indicate that the epigenetic inhibitor corin may be useful in the prevention and/or treatment of keloids.
Published in
Targeting the Epigenome Reduces Keloid Fibroblast Cell Proliferation, Migration, and Invasion
Almier N, Leibowitz K, Gower AC et al. · The Journal of investigative dermatology 2025 · PMID 39009280 · doi:10.1016/j.jid.2024.06.1274
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 GSE232079_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 PRJNA970758 and SRA study SRP436687. Searching any of these in the dataset finder brings you back here.

Study design
22 distinct titles, 6 of them repeated
CRL-1762 P4 DMSO ×2 CRL-1762 P4 corin ×2 PK1 P7 DMSO ×2 PK1 P7 corin ×2 PK4 P2 DMSO ×2 PK4 P2 corin ×2

How we read this: Read from 28 sample titles: 22 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
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