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Activated-ATF6α is an ER stress-inducing oncoprotein metabolically restricting immunosurveillance [bulk RNA-seq of TG-AAV-GFP/CRE, DEN/HFD]

GSE244342 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/11/16 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 5 × TG liver TG-AAV-CRE non-tumoral, vs 5 × TG liver TG-AAV-CRE tumoral, vs 3 × WT liver TG-AAV-GFP non-tumoral, vs 3 × WT liver TG-AAV-GFP tumoral,Groups 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
Activated ATF6α is a hepatic tumour driver restricting immunosurveillanceNature · 2026
Summary (written by the submitters)
Hepatocellular carcinoma (HCC) is the fastest growing cause of cancer-related mortality with limited therapies. While endoplasmic reticulum (ER)-stress and the unfolded protein response (UPR) are implicated in HCC, the involvement of the UPR-transducer activating transcription factor 6 alpha (ATF6α) remains unclear. In contrast to the well-characterized role of ATF6α-activation as an adaptive response to ER-stress, we here demonstrate its hitherto unknown function as an ER stress-inducing oncoprotein and metabolic master-regulator restricting cancer-immunosurveillance.
Read the full summary ↓
In human HCC, ATF6α-activation significantly correlated with reduced patient-survival, tumor-progression, local immunosuppression, and higher recurrence rates of liver-cancer upon hepatectomy. Hepatocyte-specific ATF6α-activation in mice induced progressive hepatitis with ER-stress, immunosuppression, and hepatocyte-proliferation. Concomitantly, activated-ATF6α increased glycolysis and repressed gluconeogenic enzyme fructose-1,6-bisphosphatase 1 (FBP1). Restoring FBP1 expression prevented ATF6α-activation-related pathologies. Prolonged ATF6α-activation in hepatocytes triggered hepatocarcinogenesis, intratumoral T-cell infiltration, and nutrient-deprived immune-exhaustion. Immune-checkpoint blockade (ICB) efficiently restored immunosurveillance and dramatically reduced HCC. In line, HCC patients with a significantly higher ATF6α-activation signature presented complete response to ICB monotherapy. Targeting Atf6 via germline, hepatocyte-specific ablation, or therapeutic delivery of antisense-oligonucleotides dampened HCC in preclinical liver-cancer models. Thus, prolonged ATF6α-activation drives ER-stress, leading to aberrant glucose metabolism-dependent immunosuppression in liver cancer. Our findings propose persistently activated ATF6α as an oncoprotein, stratification-marker for liver-cancer ICB, and targetable therapeutic strategy against HCC.
Published in
Activated ATF6α is a hepatic tumour driver restricting immunosurveillance
Li X, Lebeaupin C, Kadianaki A et al. · Nature 2026 · PMID 41639449 · doi:10.1038/s41586-025-10036-8
This dataset
Open GSE244342 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 GSE244342_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 PRJNA1022438 and SRA study SRP463873. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41639449) ↗
Study design
5 × TG liver TG-AAV-CRE non-tumoral, vs 5 × TG liver TG-AAV-CRE tumoral, vs 3 × WT liver TG-AAV-GFP non-tumoral, vs 3 × WT liver TG-AAV-GFP tumoral,

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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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