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SLC33A1 exports oxidized glutathione to maintain endoplasmic reticulum redox homeostasis [KPK_Slc33a1_KO_TUNC]

GSE318827 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/02/12 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples
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
SLC33A1 exports oxidized glutathione to maintain endoplasmic reticulum redox homeostasisbioRxiv : the preprint server for biology · 2026
Summary (written by the submitters)
Endoplasmic reticulum stress and redox homeostasis influence protein folding and unfolded protein response signaling. To examine transcriptional responses associated with Slc33a1 loss and complementation, we performed RNA sequencing of KPK cells with Slc33a1 knockout and cells complemented with either empty vector or cDNA constructs. Cells were treated with either DMSO or tunicamycin to induce ER stress, and total RNA was collected for sequencing. This dataset provides transcriptome profiles that enable comparison of gene expression changes across genotypes and treatment conditions.
Published in
SLC33A1 exports oxidized glutathione to maintain endoplasmic reticulum redox homeostasis
Liu S, Gad M, Li C et al. · bioRxiv : the preprint server for biology 2026 · PMID 41676593 · doi:10.64898/2026.02.01.703113
This dataset
Open GSE318827 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 GSE318827_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 PRJNA1420681 and SRA study SRP675646. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41676593) ↗
Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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