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OPA1 mutations associated with dominant optic atrophy affect mitochondrial fusion and cell death in a domain-specific manner

GSE289826 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2025/02/24 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 5 conditions, mostly in triplicateGroups 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
OPA1 mutations in dominant optic atrophy: domain-specific defects in mitochondrial fusion and apoptotic regulationJournal of translational medicine · 2025
Summary (written by the submitters)
Our study uncovered the role of OPA1 BSE domain in modulation of mitochondrial dynamics and cell death, and characterized the related signaling pathways, hereby providing the insight into the understanding of the domain-specific effect of OPA1 on mitochondrial morphology and function.
Published in
OPA1 mutations in dominant optic atrophy: domain-specific defects in mitochondrial fusion and apoptotic regulation
Zhang K, Zhang W, Zhang L et al. · Journal of translational medicine 2025 · PMID 40275276 · doi:10.1186/s12967-025-06471-w
This dataset
Open GSE289826 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 GSE289826_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 PRJNA1225147 and SRA study SRP564580. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40275276) ↗
Study design
5 conditions, mostly in triplicate
N2a cells,siControl/Control,Day3, ×3 N2a cells,siOPA1/OPA1-V560F,Day3, ×3 N2a cells,siOPA1/OPA1,Day3, ×3 N2a cells,siOPA1/Control,Day3, ×3 N2a cells,siOPA1/OPA1-V465F,Day3, ×3

Supports a between-group comparison across 15 samples.

How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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.