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Mitochondrial profiling across macrophage states reveals inhibition of IL-4/IL-13 reprogramming by the integrated stress response

GSE335147 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/06/29 Platform GPL34475
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 20 distinct titles, 4 of them repeatedGroups 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)
Mitochondria drive cellular reprogramming by integrating metabolism and signaling. In macrophages, mitochondria are central to immunometabolic responses to external cues, but the extent to which they are remodeled and participate in macrophage reprogramming remains unclear. Here, we integrate transcriptomics with whole-cell and purified mitochondrial proteomics to profile LPS/IFNγ- and IL-4/IL-13-stimulated macrophages.
Read the full summary ↓
We reveal a striking disconnect between mitochondrial transcript and protein levels following either stimulus, and a STAT6-dependent increase in mitochondrial DNA (mtDNA) expression and intramitochondrial translation in IL-4/IL-13 macrophages. We demonstrate that pharmacological inhibition of mitochondrial translation or individual respiratory chain complexes variably impairs reprogramming, whereas ATP synthase inhibition uniquely triggers an HRI-dependent integrated stress response (ISR) through mitochondrial hyperpolarization, thereby preventing IL-4/IL-13 reprogramming. Mechanistically, we show that restoring mitochondrial membrane potential or inhibiting the ISR rescues IL-4/IL-13-mediated reprogramming. Together, we identify mtDNA expression, intramitochondrial translation, and mitochondrial membrane potential as critical, drug-sensitive determinants of the IL-4/IL-13 response.
This dataset
Open GSE335147 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 GSE335147_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 PRJNA1477458 and SRA study SRP708839. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
20 distinct titles, 4 of them repeated
Mouse1-M ×2 Mouse2-M ×2 Mouse4-M ×2 Mouse5-M ×2

How we read this: Read from 24 sample titles: 20 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
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.