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snRNA-seq dataset of 17 treatment-naive human PDAC patient-derived tumors

GSE291124 Homo sapiens (human) Single-nucleus RNA-seq 17 samples Submitted 2025/11/25 Platform GPL24676
At a glance

Single-nucleus RNA-seq · human · 17 samples

What it is
Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue).
Organism
Homo sapiens (human)
Topic
Pancreatic cancerThis series is part of our curated briefing on it.
Samples
17 samples: 17 × PDAC Tumor Sample PDACGroups 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
Multimodal profiling of pancreatic cancer reveals a TIMP-1-dominated secretory profile determining pro-tumor immunoinstruction in human cancersCell reports. Medicine · 2026
Summary (written by the submitters)
This is a human single nucleus RNA sequencing (snRNAseq) dataset of human primary pancreatic ductal adenocarcinoma (PDAC) tumor tissues of 17 (deidentified) treatment-naive patients. The goal of this study was to thoroughly characterize the tumor microenvironment in human primary PDAC.
Published in
Multimodal profiling of pancreatic cancer reveals a TIMP-1-dominated secretory profile determining pro-tumor immunoinstruction in human cancers
Frädrich J, Reyes CM, Hendel M et al. · Cell reports. Medicine 2026 · PMID 41564862 · doi:10.1016/j.xcrm.2025.102546
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 GSE291124_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1230557 and SRA study SRP567635. Searching any of these in the dataset finder brings you back here.

Study design
17 × PDAC Tumor Sample PDAC

Supports a between-group comparison across 17 samples.

How we read this: 1 replicated groups read from 17 sample titles; they account for 17 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.