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Loss of Activating transcription factor 3 restricts KRASG12D’s ability to promote PanIN progression through epithelial specific transcriptional regulation

GSE269938 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/06/14 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 conditions, mostly in triplicateGroups 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.
Summary (written by the submitters)
Pancreatic ductal adenocarcinoma (PDAC) is the 3rd leading cause of cancer-related deaths in North America with ~12% survival 5 years after diagnosis. Risk factors for PDAC, including smoking and chronic pancreatitis, trigger the unfolded protein response (UPR) and global loss of Activating Transcription Factor 3 (ATF3), a mediator of the UPR, restricts preneoplastic progression in mice expressing oncogenic KRAS (KRASG12D).
Read the full summary ↓
Since ATF3 is expressed in multiple cell compartments during PDAC progression, the goal of this study was to determine epithelial-specific roles for ATF3 during pre-neoplastic stages of PDAC. APK and AacinarPK tissue showed restricted neoplasia progression compared to Ptf1acreERT/+KRASG12D/+ mice. Ptf1acreERT/+KRASG12D/+ and APK organoids showed differential gene expression, and morphology, with APK organoids having reduced viability over time. This study reveals an epithelial-specific role for ATF3 in restricting KRASG12D -mediated PDAC and indicates ATF3 has functions in multiple cell compartments during PDAC progression.
This dataset
Open GSE269938 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 GSE269938_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 PRJNA1124146 and SRA study SRP514052. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in triplicate
Acinar_KRAS ×3 Acinar_ATF3-/-KRAS ×3 Acinar_WT ×3 Tissue_ATF3-/-KRAS ×3 Organoid_KRAS ×3 Organoid_ATF3-/-KRAS ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.