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Beta-hydroxybutyrate restores OXPHOS to reduce ischemia-induced AKI

GSE329901 Mus musculus (mouse) RNA-seq (gene expression) 9 samples Submitted 2026/05/09 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 9 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
9 samples: 3 × Sham vs 3 × bIRI vs 3 × BHBNa_bIRIGroups 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)
Bilateral renal ischemia-reperfusion injury (IRI) induces acute kidney injury (AKI) and impairs mitochondrial energy metabolism in renal tubules. While ketogenic diets rich in beta-hydroxybutyrate (BHB) are known to confer tissue protection, we investigated the specific effect of BHB sodium pretreatment in this model. Mice subjected to bilateral IRI with or without BHB sodium pretreatment were assessed 24 hours post-reperfusion.
Read the full summary ↓
Our results demonstrate that BHB administration restored oxidative phosphorylation (OXPHOS) and attenuated injury in post-ischemic AKI. These findings indicate that BHB enhances OXPHOS capacity within the electron transport chain, thereby regulating mitochondrial energy metabolism and ameliorating ischemia-induced AKI.
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 GSE329901_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 PRJNA1290348 and SRA study SRP600165. Searching any of these in the dataset finder brings you back here.

Study design
3 × Sham vs 3 × bIRI vs 3 × BHBNa_bIRI

Supports a between-group comparison across 9 samples.

How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.