← BioTransfer GEO Dataset Finder
GEO series

STC-1 Attenuates Scar Formation via PI3K/AKT Pathway Activation and Immune Modulation

GSE303181 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/08/01 Platform GPL30215
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × Con vs 3 × STC1 vs 3 × TGFb1 vs 3 × TSGroups 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)
Objective: To investigate the role of Stanniocalcin-1 (STC-1) in scar formation and elucidate its underlying mechanisms in regulating fibroblast activity, immune microenvironment, oxidative stress, and PI3K/AKT signaling. Approach: A combination of clinical sample analysis, in vitro experiments using NIH-3T3 fibroblasts and macrophage co-culture models, RNA sequencing, and in vivo full-thickness wound mouse models were employed.
Read the full summary ↓
The effects of recombinant human STC-1 and STC-1 overexpression were evaluated on fibroblast function, extracellular matrix remodeling, inflammatory response, and scar formation. The impact on PI3K/AKT signaling was assessed by Western blot analysis. Results: STC-1 was specifically overexpressed in keloid tissues, primarily in fibroblasts, and its expression was upregulated by hypoxia in a HIF-1α–dependent manner. In vitro, STC-1 suppressed fibroblast proliferation, migration, and LPS-induced inflammation, while alleviating oxidative stress and mitochondrial dysfunction. STC-1 also promoted angiogenesis and induced M2 macrophage polarization. In vivo, STC-1 reduced scar size, improved collagen organization, modulated immune cell infiltration by activating the PI3K/AKT signaling pathway. Innovation: This study identifies STC-1 as a novel immunoregulatory and anti-fibrotic factor in scar pathogenesis. It highlights that STC-1 not only affects fibroblast function but also remodels the immune microenvironment through PI3K/AKT activation. Conclusion: STC-1 exerts anti-fibrotic, anti-inflammatory, antioxidant, and immunomodulatory effects during scar formation by activating the PI3K/AKT signaling pathway, highlighting its therapeutic potential in the treatment of pathological scars.
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 GSE303181_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 PRJNA1293396 and SRA study SRP601820. Searching any of these in the dataset finder brings you back here.

Study design
3 × Con vs 3 × STC1 vs 3 × TGFb1 vs 3 × TS

Supports a between-group comparison across 12 samples.

How we read this: 4 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.