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Bulk RNA-seq of WNT-responsive and WNT-secreting cancer cell populations from orthotopic PDAC tumors

GSE316194 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/05/20 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 16 samples, each with a distinct title — no replicated groupsGroups 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
Disruption of WNT/Notch signaling in pancreatic cancer reveals tumors depend on the intricate equilibrium of malignant cell statesDevelopmental cell · 2026
Summary (written by the submitters)
Pancreatic ductal adenocarcinoma (PDAC) exhibits pronounced intratumoral heterogeneity driven in part by WNT signaling dynamics. To characterize transcriptional differences among distinct WNT signaling states in vivo, we performed bulk RNA sequencing of fluorescence-activated cell sorting (FACS)-isolated cancer cell populations from orthotopic PDAC tumors.
Read the full summary ↓
WNT-responsive (WNT-R), WNT-secreting (WNT-S), double-positive (WNT-R/S), and double-negative (DN) cancer cells were isolated from KPC 7TCF-eGFP/Porcn-DMA reporter tumors. RNA libraries were prepared using the SMARTerSeq2 protocol and sequenced from four biological replicates per group. Differential gene expression analysis revealed enrichment of canonical WNT/β-catenin target genes in WNT-R cells, elevated Porcn expression in WNT-S cells, and intermediate transcriptional profiles in WNT-R/S cells, validating the fidelity of the reporter system in vivo. This dataset provides a resource for dissecting WNT-dependent cancer cell states and signaling interactions in PDAC.
Published in
Disruption of WNT/Notch signaling in pancreatic cancer reveals tumors depend on the intricate equilibrium of malignant cell states
Torborg SR, Kim JY, Singhal A et al. · Developmental cell 2026 · PMID 41875882 · doi:10.1016/j.devcel.2026.02.017
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 GSE316194_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 PRJNA1401785 and SRA study SRP661493. Searching any of these in the dataset finder brings you back here.

Study design
16 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 16 sample titles: 16 distinct titles with little repetition. 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.