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Role of GPNMB in Foam Cells Formation and Atherosclerosis Progression

GSE274954 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/09/04 Platform GPL24247
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 × BMDMs from control mice vs 3 × BMDMs from GpnmbR150X mice vs 3 × OxLDL-treated BMDMs from control mice vs 3 × OxLDL-treated BMDMs from GpnmbR150X miceGroups 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
Regulation of lipoprotein processing by GPNMB in foamy macrophages: potential therapeutic targets for atherosclerosisNature communications · 2025
Summary (written by the submitters)
Currently, both reliable biomarkers for disease monitoring and specific therapeutic targets are needed to combat atherosclerosis, one of the dangerous lipid metabolism disorders. We observed attenuation of atherosclerosis in a GPNMB auto-mutant (GpnmbR150X) mouse model as well as in a myeloid-specific Gpnmb-knockout mouse model.
Read the full summary ↓
Furthermore, in GpnmbR150X BMDMs, we observed that impaired lipid droplet formation, enhanced lipid oxidative metabolism, and more robust lipid degradation by the lysosomal pathway suppressed the macrophage foaming, thereby reducing the atherosclerotic burden of excess OxLDL.
Published in
Regulation of lipoprotein processing by GPNMB in foamy macrophages: potential therapeutic targets for atherosclerosis
Wang J, Peng L, Wang H et al. · Nature communications 2025 · PMID 41238574 · doi:10.1038/s41467-025-65224-x
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 GSE274954_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 PRJNA1148641 and SRA study SRP526730. Searching any of these in the dataset finder brings you back here.

Study design
3 × BMDMs from control mice vs 3 × BMDMs from GpnmbR150X mice vs 3 × OxLDL-treated BMDMs from control mice vs 3 × OxLDL-treated BMDMs from GpnmbR150X mice

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

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
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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.