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Mitochondrial transfer to granulocytic myeloid-derived suppressor cells augments immunosuppressive activity

GSE295742 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/02/04 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 × Control G-MDSC, Unstimulated, biol vs 3 × Control G-MDSC, Biofilm, biol vs 3 × Mitochondria-transferred G-MDSC, Unstimulated, biol vs 3 × Mitochondria-transferred G-MDSC, Biofilm, biolGroups 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
Mitochondrial transfer to granulocytic myeloid-derived suppressor cells augments immunosuppressive activityCell reports · 2026
Summary (written by the submitters)
The anti-inflammatory properties of granulocytic myeloid-derived suppressor cells (G-MDSCs) promote Staphylococcus aureus (S. aureus) biofilm persistence. Evidence suggests that G-MDSC activity is not only shaped by S. aureus products but also by intrinsic metabolic programs. This study explored whether G-MDSC activity could be modulated by increasing mitochondrial abundance using a co-culture paradigm with macrophages as a mitochondrial donor.
Read the full summary ↓
Macrophages transferred mitochondria directly to G-MDSCs via tunneling nanotubes, which enhanced G-MDSC respiration as reflected by increased basal, maximal, and spare respiratory capacity. Augmenting mitochondrial abundance in G-MDSCs enhanced T cell suppressive activity concomitant with decreased cytokine production. Adoptive transfer of macrophages in a mouse model of S. aureus prosthetic joint infection revealed mitochondrial transfer to G-MDSCs in vivo that enhanced their suppressive activity, leading to increased bacterial burden. These findings support that G-MDSCs can exploit mitochondria to augment their anti-inflammatory properties in response to S. aureus biofilm.
Published in
Mitochondrial transfer to granulocytic myeloid-derived suppressor cells augments immunosuppressive activity
Arumugam P, Heim CE, Fallet RW et al. · Cell reports 2026 · PMID 41811849 · doi:10.1016/j.celrep.2026.117057
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 GSE295742_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 PRJNA1256286 and SRA study SRP581970. Searching any of these in the dataset finder brings you back here.

Study design
3 × Control G-MDSC, Unstimulated, biol vs 3 × Control G-MDSC, Biofilm, biol vs 3 × Mitochondria-transferred G-MDSC, Unstimulated, biol vs 3 × Mitochondria-transferred G-MDSC, Biofilm, biol

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
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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.