← BioTransfer GEO Dataset Finder
GEO series

Persistent injury-induced mtDNA mutations compromise organ fitness by suppressing nucleotide biosynthesis

GSE239772 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/09/20 Platform GPL21103
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: 6 × Sham-Polg+/+-Biol vs 6 × Sham-PolgD257A-Biol vs 6 × B-IRI-Polg+/+-Biol vs 6 × B-IRI-PolgD257A-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
Reversible compromise of physiological resilience by accumulation of heteroplasmic mtDNA mutationsScience (New York, N.Y.) · 2025
Summary (written by the submitters)
The mitochondrial genome is present at thousands of copies/cell in metabolically active tissues. In organs such as the kidney that are exposed to frequent sublethal insults, the impact on mitochondrial DNA (mtDNA) quality is unknown. Here we show that acute kidney injury induces a burst of persistent random mtDNA mutations (mtDNA) that impair mitochondrial function, induce fibrosis, and increase subsequent injury risk in cells, mice, and humans, implicating a feed-forward loop of accumulating mtDNA mutations driving chronic disease.
Read the full summary ↓
Multi-omic interrogation of mtDNA settings implicates marked reduction of energy-intensive nucleotide biosynthesis. Strikingly, repletion of adenosine, but not other nucleosides, restores ATP and ameliorates injury risk via the purine biosynthetic enzyme adenylate kinase 4. mtDNA may therefore be a durable remnant of acute injuries that compromise future health and both a genetic and tissue-based indicator of organ fitness. Augmented purine biosynthesis may protect vulnerable organs from acute insults.
Published in
Reversible compromise of physiological resilience by accumulation of heteroplasmic mtDNA mutations
Huang H, Wang Y, Zsengeller ZK et al. · Science (New York, N.Y.) 2025 · PMID 40906782 · doi:10.1126/science.adk7978
This dataset
Open GSE239772 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 GSE239772_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 PRJNA1000944 and SRA study SRP452526. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40906782) ↗
Study design
6 × Sham-Polg+/+-Biol vs 6 × Sham-PolgD257A-Biol vs 6 × B-IRI-Polg+/+-Biol vs 6 × B-IRI-PolgD257A-Biol

Supports a between-group comparison across 24 samples.

How we read this: 4 replicated groups read from 24 sample titles; they account for 24 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.