← BioTransfer GEO Dataset Finder
GEO series

Loss of aryl hydrocarbon receptor reduces pancreatic tumor growth by increasing immune cell infiltration [II]

GSE284188 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/01/03 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 5 × WT HA vs 5 × PARP7KO HAGroups 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
Loss of Parp7 increases type I interferon signalling and reduces pancreatic tumour growth by enhancing immune cell infiltrationFrontiers in immunology · 2024
Summary (written by the submitters)
Pancreatic ductal adenocarcinoma (PDAC) is a devastating disease which remains poorly understood. Increasing evidence suggests that the aryl hydrocarbon receptor (AHR) plays a role in the pathogenesis of several cancers; however, its role in PDAC is unclear because AHR exhibits both pro- and anti-tumor activities. Here we evaluated the role of AHR in CR705 and K8484 murine PDAC cells in vitro and CR705 cells in vivo.
Read the full summary ↓
Loss of Ahr did not affect cell proliferation compared with Cas9 control cells and no differences in tumor development between CR705Cas9 and CR705AhrKO cells were observed in immunocompromised mice. Conversely, tumors from CR705AhrKO cells grew more slowly than tumors from CR705Cas9 cells in immune competent mice. RNA sequencing identified 1279 genes upregulated and 586 genes downregulated in CR705AhrKO tumors compared with CR705Cas9 tumors. Pathway analysis identified immunoregulatory interactions, interferon signaling, and chemokine signaling among the top upregulated pathways. Increased infiltration of CD45+ cells and higher numbers of CD8+ T cells and F4/80+ cells were observed in CR705AhrKO tumors. Ahr deficiency in macrophages (LysMCre) or lymphocytes (RorcCre) did not alter tumor development of CR705Cas9 cells compared with WT C57BL/6 mice. CR705AhrKO tumors in RorcCre mice, but not in LysMCre mice had significantly lower tumor weights normalized to body weights compared with CR705AhrKO tumors in WT mice. These findings show that Ahr loss in CR705 pancreatic cancer cells is sufficient to induce proinflammatory gene responses that contribute to increased immune cell infiltration and reduced tumor growth.
Published in
Loss of Parp7 increases type I interferon signalling and reduces pancreatic tumour growth by enhancing immune cell infiltration
Kannen V, Rasmussen M, Das S et al. · Frontiers in immunology 2024 · PMID 39867896 · doi:10.3389/fimmu.2024.1513595
This dataset
Open GSE284188 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 GSE284188_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 PRJNA1197526 and SRA study SRP551165. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39867896) ↗
Study design
5 × WT HA vs 5 × PARP7KO HA

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.