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Loss of ADAR1 in tumor cells activates cDC1s and sensitizes pancreatic cancer to immunotherapy

GSE289275 Mus musculus (mouse) RNA-seq (gene expression) 14 samples Submitted 2025/04/11 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 14 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
14 samples: 4 × pancreatic cancer, sgControl, vs 4 × pancreatic cancer, sgADAR1, vs 3 × FC1199, sgControl+IFNγ, vs 3 × FC1199, sgADAR1+IFNγ,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.
Summary (written by the submitters)
Pancreatic cancer is notoriously resistant to immunotherapy, primarily due to inadequate antigen presentation and the exclusion of immunogenic cells from the tumor microenvironment. Strategies to enhance antigen presentation and promote the infiltration of cytotoxic CD8+ T cells may improve the efficacy of immunotherapy in pancreatic cancer.
Read the full summary ↓
In this study, we show that ADAR1 is overexpressed in pancreatic cancer, and higher ADAR1 expression correlates with poorer survival outcomes in patients. Depletion of ADAR1 in tumor cells leads to an accumulation of endogenous double-stranded RNA (dsRNA), which triggers the MDA5-mediated type I interferon (IFN) response and results in excessive IFNβ production. Tumor-derived IFNβ then promotes the recruitment and activation of cDC1s, thereby enhancing CD8+ T cell infiltration and activation, and ultimately sensitizing pancreatic cancer to CD8+ T cell-based immunotherapy. These findings suggest that combining ADAR1 inhibition with immunotherapy may offer a promising therapeutic strategy for pancreatic cancer.
This dataset
Open GSE289275 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 GSE289275_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 PRJNA1222324 and SRA study SRP563173. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
4 × pancreatic cancer, sgControl, vs 4 × pancreatic cancer, sgADAR1, vs 3 × FC1199, sgControl+IFNγ, vs 3 × FC1199, sgADAR1+IFNγ,

Supports a case/control comparison: 4 samples read as cases, 3 as controls.

How we read this: 4 replicated groups read from 14 sample titles; they account for 14 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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