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HYPOXIA RESCUES COMPLEX 1-ASSOCIATED DISEASE CAUSED BY PROTEOSTATIC DEFECTS

GSE327486 Mus musculus (mouse) RNA-seq (gene expression) 19 samples Submitted 2026/05/29 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 19 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
19 samples: 9 conditions, mostly in duplicateGroups 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)
Impaired mitochondrial proteostasis underlies a broad spectrum of diseases, yet effective therapies remain limited. Here, we show that deficiency of HTRA2, a mitochondrial intermembrane space protease, can be rescued by hypoxia therapy. Using an Htra2 mutant mouse model that displays severe neurodegeneration and early lethality, we find that continuous hypoxia rescues striatal degeneration and extends lifespan.
Read the full summary ↓
Mechanistically, we demonstrate that HTRA2 forms a functional complex with the disaggregase CLPB. Loss of function of either protein drives aggregation of intermembrane space–facing subunits of complex I of the electron transport chain, resulting in secondary complex I dysfunction. These changes impair tissue oxygen consumption and likely cause pathological hyperoxia, which is corrected by hypoxia. Together, these findings define a proteostasis pathway linking intermembrane space quality control to complex I function and expand the potential of hypoxia therapy to secondary complex I disease.
This dataset
Open GSE327486 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 GSE327486_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 PRJNA1451084 and SRA study SRP690518. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
9 conditions, mostly in duplicate
1C ×2 1M ×2 2C ×2 2M ×2 3C ×2 3M ×2 4C ×2 4M ×2 +2 more

Supports a between-group comparison across 18 samples.

How we read this: 9 replicated groups read from 19 sample titles; they account for 18 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.