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GSDMD-mediated metabolic crosstalk licenses a pro-regenerative niche for tissue repair

GSE250049 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2024/07/29 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 10 samples, each with a distinct title — no replicated groupsGroups 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)
The establishment of an early pro-regenerative niche is crucial for tissue regeneration. Gasdermin D (GSDMD)-dependent pyroptosis accounts for the release of inflammatory cytokines upon various insults. However, little is known about its role in tissue regeneration followed by homeostatic maintenance. Here, we show that macrophage GSDMD deficiency delayed tissue recovery, with little impact on the local inflammatory milieu or the lytic pyroptosis process.
Read the full summary ↓
Metabolite secretome profiling of hyperactivated macrophages unveiled the non-canonical metabolite-secreting function of GSDMD. And we further identified 11,12-epoxyeicosatrienoic acid (11,12-EET) as a bioactive pro-healing oxylipin, secreted from hyperactive macrophages in a GSDMD-dependent manner. Indeed, accumulation of 11,12-EET by direct supplementation or deletion of its hydrolytic enzyme Ephx2 accelerated muscle regeneration. We further demonstrated that the Ephx2 level accumulated within aged muscle, which led to a decreased intramuscular 11,12-EET level. And consecutive 11,12-EET treatment rejuvenated aged muscle. Mechanistically, 11,12-EET amplifies fibroblast growth factor/FGF receptor (FGF-FGFR) signaling by modulating FGF liquid-liquid phase separation, hence boosting the activation and proliferation of muscle stem cells (MuSCs). These data depict a GSDMD-guided metabolite crosstalk between macrophages and MuSCs that governs the repair process, which offers new therapeutic insights for the regeneration of injured or aged tissues.
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 GSE250049_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 PRJNA1051656 and SRA study SRP477674. Searching any of these in the dataset finder brings you back here.

Study design
10 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 10 sample titles: 10 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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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.