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Cardiomyocyte-intrinsic somatic mtDNA mutations induce an OXPHOS-dependent immune response and promote progressive heart failure

GSE336233 Mus musculus (mouse) RNA-seq (gene expression) 17 samples Submitted 2026/07/24 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 17 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
17 samples: 9 × hMut mouse heart tissue sample K vs 8 × Ctrl mouse heart tissue sample CGroups 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)
Mitochondrial DNA (mtDNA) mutations accumulate with age, but their mechanistic contribution to ageing remains unclear. The classical mtDNA mutator mouse expresses a proofreading-deficient mtDNA polymerase (POLGD257A) and accumulates mtDNA mutations across all tissues leading to premature ageing. However, this model cannot resolve whether the ageing phenotype results from systemic dysfunction or cell-intrinsic effects of somatic mtDNA mutations.
Read the full summary ↓
To overcome this limitation, we generated PolgiMut mice allowing spatial and temporal control of POLGD257A expression. We demonstrate here that mtDNA mutations induced in cardiomyocytes cause progressive contractile dysfunction and respiratory chain deficiency in the heart without accompanying systemic pathology. Proteomic analyses link cardiac mosaic OXPHOS dysfunction to a progressive immune response, characterized by upregulation of antigen-processing proteins and immune cell infiltration. In contrast, longevity-associated pathways are suppressed and uncoupled from mitochondrial and immune alterations, indicating distinct regulatory mechanisms. These findings demonstrate that mtDNA mutations can drive cardiac dysfunction and reveal a mechanistic link between mitochondrial dysfunction, immune responses and ageing.
This dataset
Open GSE336233 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 GSE336233_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 PRJNA1481119 and SRA study SRP711837. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
9 × hMut mouse heart tissue sample K vs 8 × Ctrl mouse heart tissue sample C

Supports a between-group comparison across 17 samples.

How we read this: 2 replicated groups read from 17 sample titles; they account for 17 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.