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Wars1 loss-of-function in the liver identifies a unique cytosol-to-mitochondria stress response.

GSE266539 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2025/05/01 Platform GPL28457
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: 24 samples, each with a distinct title — no replicated groupsGroups 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)
Several laboratories, including ours, have used the Slc25a47tm1c(EUCOMM)Hmgu mouse model to characterize the role of SLC25A47, an hepatocyte-specific mitochondrial carrier, in hepatic metabolism and systemic physiology. In this study, we report that the hepatic and systemic phenotypes observed in Slc25a47tm1c(EUCOMM)Hmgu mouse model upon recombination of the Slc25a47-Wars1 locus, are driven by the unanticipated downregulation of Wars1, the cytosolic tryptophan aminoacyl-tRNA synthetase whose gene is located in close vicinity to Slc25a47.
Read the full summary ↓
We show that downregulation of Wars1 in hepatocytes not only impacts on cytosolic translation, as expected, but also impairs the ability of hepatic mitochondria to translate proteins eventually leading to a profound activation of the mitochondrial unfolded protein response (UPRmt), an integral part of the mitochondrial stress response (MSR). Our results clarify the respective roles of Slc25a47 and Wars1 in both systemic and hepatic metabolism and suggest that a bidirectional stress communication system operates in the mammalian liver between the cytosol and mitochondria highlighting the complexity and promiscuity of cellular stress mechanisms. This newly identified anterograde pathway complements the previously recognized Mitochondrial-to-Cytosolic Stress Response (MCSR), which we propose to call the Cytosolic-to-Mitochondrial Stress Response (CMSR).
This dataset
Open GSE266539 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 GSE266539_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 PRJNA1107534 and SRA study SRP505550. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
24 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 24 sample titles: 24 distinct titles with little repetition. 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 →

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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.