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Evaluating CD40 Agonist Alone and in Combination with IL-1R1 Blockade in Pancreatic Cancer

GSE301673 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/07/25 Platform GPL34290
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: 3 × aIL1R1 vs 3 × AgoCD40 vs 3 × Combo vs 2 × No TxGroups 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)
To investigate the immunomodulatory effects of IL-1R1 blockade in pancreatic ductal adenocarcinoma (PDAC), we performed bulk RNA sequencing of tumors subjected to distinct treatment regimens. Tumors were treated with either an anti–IL-1R1 antibody or left untreated, and another cohort received combination therapy with agonistic CD40 and anti–IL-1R1 antibodies versus CD40 agonist monotherapy.
Read the full summary ↓
Gene ontology enrichment analysis of differentially expressed genes (p ≤ 0.05) revealed that anti–IL-1R1 treatment upregulated genes involved in RNA processing, including spliceosome-associated pathways, compared with untreated controls. Conversely, immune-related pathways—such as response to type II interferon, leukocyte-mediated immunity, and T-cell activation—were significantly downregulated in the anti–IL-1R1 group. In contrast, tumors receiving combination therapy exhibited enhanced innate and adaptive immune signatures compared to CD40 monotherapy, including antigen presentation, lymphocyte-mediated immunity, and regulation of immune effector functions. Metabolic pathways were notably downregulated in the combination group. Gene set enrichment analysis further confirmed the upregulation of key immune pathways, including NOD-like receptor signaling, NF-κB signaling, NK cell–mediated cytotoxicity, and JAK-STAT signaling, in the combination therapy group. These findings highlight the context-dependent effects of IL-1R1 blockade and support its synergistic potential with CD40 agonism in modulating the PDAC tumor microenvironment.
This dataset
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.

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 GSE301673_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1285956 and SRA study SRP598229. Searching any of these in the dataset finder brings you back here.

Study design
3 × aIL1R1 vs 3 × AgoCD40 vs 3 × Combo vs 2 × No Tx

Supports a between-group comparison across 11 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 11 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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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.