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Hereditary Chronic Pancreatitis Induced Plasticity Cooperates with Mutant Kras in Early Pancreatic Carcinogenesis

GSE297058 Mus musculus (mouse) Single-cell RNA-seq 128 samples Submitted 2025/12/20 Platform GPL24247Platform GPL34290
At a glance

Single-cell RNA-seq · mouse · 128 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Mus musculus (mouse)
Samples
128 samples: 120 distinct titles, 4 of them repeatedGroups 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
Hereditary chronic pancreatitis induced plasticity cooperates with mutant Kras in early pancreatic carcinogenesisGut · 2026
Summary (written by the submitters)
Hereditary chronic pancreatitis (CP) increases the risk of pancreatic cancer, but the mechanisms by which chronic inflammation influences oncogene-driven pancreatic carcinogenesis remain poorly understood. A recently developed mouse model of CP, carrying the human Carboxypeptidase A1 (CPA1) p.N256K mutation, offers a valuable platform for uncovering the molecular processes linking chronic inflammation to pancreatic carcinogenesis.
Read the full summary ↓
To investigate the impact of chronic inflammation on pancreatic cancer initiation, we crossed Cpa1N256K mice (Cpa1) with the pancreatic cancer model Ptf1aCre;KrasLSL-G12D (KC). In Cre, Cpa1, KC and KC-Cpa1 mice, we performed phenotypic characterization at different ages using histological, RNA sequencing and single-cell RNA-sequencing analyses.
Published in
Hereditary chronic pancreatitis induced plasticity cooperates with mutant Kras in early pancreatic carcinogenesis
Inamdar TV, Krannich F, Hesselbarth N et al. · Gut 2026 · PMID 41419303 · doi:10.1136/gutjnl-2025-335947
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 GSE297058_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 PRJNA1262456 and SRA study SRP584986. Searching any of these in the dataset finder brings you back here.

Study design
120 distinct titles, 4 of them repeated
266-6, ×3 266-6-pMMLV-Puro, ×3 266-6-Cpa1 (pMMLV-mCpa1-3xGS-Myc-IRES-Puro), ×3 266-6-Cpa1N256K (pMMLV-mCpa1*-3xGS-Myc-IRES-P… ×3

How we read this: Read from 128 sample titles: 120 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

+ 88 more — browse all 128 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.