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Dorsal Root Ganglion-Mediated Modulation of Neuroinflammation and Neurovasodilation in Rosacea by Gabapentin

GSE308876 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/09/27 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 6 × Skin tissue, control, vs 6 × DRG, control, vs 6 × Skin tissue, rosacea model, vs 6 × DRG, rosacea model,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)
Neurogenic rosacea features disproportionate pain and erythema resistant to conventional treatments. While gabapentin shows clinical efficacy, its molecular mechanism remains undefined.Using a murine rosacea model induced by LL37, we performed bulk RNA sequencing and molecular analyses of skin and dorsal root ganglia (DRG) to assess gabapentin's effects.
Read the full summary ↓
LL37 triggered parallel neuroimmune and neurovascular activation in skin and DRG, including upregulating of Th2, IGF, CGRP, and nitric oxide synthases. Gabapentin suppressed CGRP expression, NF-κB phosphorylation, and neurovascular remodeling, particularly in DRG and skin. Transcriptomic and protein analyses revealed that gabapentin modulates neuronal excitability and inflammatory signaling via GABAergic and calcium channel pathways. Gabapentin exerts anti-neuroinflammatory and anti-neurovascular actions via DRG-mediated pathways in rosacea. These findings identify the peripheral nervous system as a central therapeutic target and establish gabapentin’s molecular rationale in treating neurogenic skin inflammation.
This dataset
Open GSE308876 in finder → Find more mouse RNA-seq 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 GSE308876_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: 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 PRJNA1333307 and SRA study SRP625474. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 × Skin tissue, control, vs 6 × DRG, control, vs 6 × Skin tissue, rosacea model, vs 6 × DRG, rosacea model,

Supports a between-group comparison across 24 samples.

How we read this: 4 replicated groups read from 24 sample titles; they account for 24 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.