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Sex determines the Natural Killer cell-mediated immunity against Pancreatic Cancer.

GSE309514 Mus musculus (mouse) RNA-seq (gene expression) 22 samples Submitted 2026/03/17 Platform GPL32159
At a glance

RNA-seq (gene expression) · mouse · 22 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
22 samples: 5 conditions, mostly with about 4 replicates eachGroups 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
Sex determines the natural killer cell-mediated immunity against pancreatic cancerOncoimmunology · 2026
Summary (written by the submitters)
Pancreatic ductal adenocarcinoma ranks among the most aggressive malignancies and exhibits a higher prevalence and poorer prognosis in male patients. Natural killer cells play a critical role in tumor immunosurveillance by directly recognizing and eliminating tumor cells. It is well established that females generally mount stronger immune responses than males.
Read the full summary ↓
The present study aims to answer the question of whether sex has an influence on the NK cell-mediated anti-tumor function in PDAC. To validate our in vitro findings in a physiological context, we employed a syngeneic allograft mouse model.
Published in
Sex determines the natural killer cell-mediated immunity against pancreatic cancer
Arlt E, Bley N, Rausch A et al. · Oncoimmunology 2026 · PMID 41872676 · doi:10.1080/2162402X.2026.2645298
This dataset
Open GSE309514 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 GSE309514_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 PRJNA1336196 and SRA study SRP629606. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41872676) ↗
Study design
5 conditions, mostly with about 4 replicates each
Panc02, allograft ×8 ctrl, sample ×4 NK only, sample ×4 co-culture, sample ×4 Panc02, cell line ×2

Supports a between-group comparison across 22 samples.

How we read this: 5 replicated groups read from 22 sample titles; they account for 22 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

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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.