← BioTransfer GEO Dataset Finder
GEO series

Interleukin-37 promotes wound healing in diabetic mice by inhibiting the MAPK/NLRP3 pathway

GSE282682 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2025/03/05 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 13 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
13 samples: 6 × skin wound, non-DM vs 4 × skin wound, DM+IL37tg vs 3 × skin wound, DMGroups 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
Interleukin-37 promotes wound healing in diabetic mice by inhibiting the MAPK/NLRP3 pathwayJournal of diabetes investigation · 2025
Summary (written by the submitters)
Diabetic foot ulcer (DFU) is a common complication of diabetes characterized by increased inflammation and a slowed healing process for wounds. Interleukin-37 (IL-37) may act as an alarm to alert the immune system when released by epithelial barrier tissues during trauma or infection, exerting a broad range of protective effects in several diseases.
Read the full summary ↓
The objective of this study was to examine the regenerative capabilities of IL-37 in improving the healing of diabetic wounds. Using streptozotocin (STZ)-induced diabetic mice, we found that diabetic IL-37Tg mice showed a significantly accelerated healing process. In addition, IL-37 strongly suppressed MAPK signaling pathway by inhibiting phosphorylation of the P38 and ERK. Moreover, IL-37 reduced the expression of Nod-like receptor protein-3 (NLRP3) and mature IL-1β. These results thus indicated that IL-37 inhibition of IL-1β production is mediated by suppressing the initial priming step and by inhibiting the NLRP3 inflammasome activation. Taken together, our findings demonstrated the promising regulatory activity of IL-37 against IL-1β production and indicated that IL-37 has the potential to be effective as a novel therapeutic agent for treatment of wound. Our data indicate a beneficial effect of IL-37 in diabetic wounds, suggesting a therapeutic potential for this cytokine in diabetic ulcer management.
Published in
Interleukin-37 promotes wound healing in diabetic mice by inhibiting the MAPK/NLRP3 pathway
Cui Q, Zhang Z, Qin L et al. · Journal of diabetes investigation 2025 · PMID 39714100 · doi:10.1111/jdi.14389
This dataset
Open GSE282682 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 GSE282682_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 PRJNA1189660. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39714100) ↗
Study design
6 × skin wound, non-DM vs 4 × skin wound, DM+IL37tg vs 3 × skin wound, DM

Supports a between-group comparison across 13 samples.

How we read this: 3 replicated groups read from 13 sample titles; they account for 13 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.