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Fibrogenic macrophages drive cardiac fibrosis via MMP12-mediated tissue remodeling

GSE292393 Mus musculus (mouse) Single-cell RNA-seq 9 samples Submitted 2026/06/30 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 9 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
9 samples: 3 × Floxed control FP vs 3 × MMP12-inhibitor treated FP vs 3 × Vehicle-treated FPGroups 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)
Fibrosis is a major contributor to mortality in various diseases, yet, it isunderlying mechanisms remain unclear. Here, we identified a mechanistic driver of fibrosis by investigating a fibrotic cardiac sarcoidosis mouse model. We demonstrate that mTORC1 induced a recently described fibrogenic macrophage population expressing Cd63, Spp1, Gpnmb, and Fabp5.
Read the full summary ↓
sc-RNAseq analysis revealed a stepwise differentiation process of monocytes into fibrogenic macrophages via TGFβ signaling under mTORC1 control. Crucially, we uncovered matrix metalloproteinase 12 (MMP12) as the key effector that enables fibrogenic macrophages to mediate fibrosis. Pharmacologic inhibition of MMP12 diminished fibroblast activation, granulomatous inflammation, and resolved fibrotic lesions in the myocardium. Analysis of human cardiac sarcoidosis tissue and transcriptomics data from human liver and lung fibrotic diseases suggests MMP12-driven fibrotic remodeling by macrophages as conserved pathogenic mechanism. These findings provide a mechanistic basis for fibrogenic macrophage function and establish MMP12 as promising therapeutic target for fibrotic disease and cardiac sarcoidosis.
This dataset
Open GSE292393 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 GSE292393_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1238305 and SRA study SRP571598. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × Floxed control FP vs 3 × MMP12-inhibitor treated FP vs 3 × Vehicle-treated FP

Supports a case/control comparison: 3 samples read as cases, 3 as controls.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.