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RNA-seq Analysis of KRAS Mutant HPNE Pancreatic Ductal Epithelial Cells

GSE295683 Homo sapiens (human) RNA-seq (gene expression) 66 samples Submitted 2026/05/12 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 66 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
Homo sapiens (human)
Samples
66 samples: 22 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.
Paper
Mutant KRAS Heterogeneity Shapes Nuclear Architecture During Pancreatic Cancer InitiationEpigenomes · 2026
Summary (written by the submitters)
KRAS mutations drive pancreatic cancer initiation by reprogramming cellular signaling and the tumor microenvironment. Here, we investigate the early transcriptional impact of distinct KRAS mutants in a non-cancerous pancreatic epithelial context. Using RNA-seq, we profiled HPNE cells engineered with inducible KRAS variants (G12D, G12V, G12R, Q61H, Q61K, Q61R) compared to wild-type KRAS (WT) following 24-hour induction.
Read the full summary ↓
This comparative analysis reveals that KRAS mutations differentially regulate immune and extracellular matrix remodeling pathways, with G12D and Q61R/H mutants driving pro-inflammatory signaling, while G12R and Q61k exhibits distinct transcriptional suppression. These findings highlight the mutation-specific transcriptional landscapes of KRAS in pancreatic epithelial cells and provide insight into the early events shaping the pancreatic tumor microenvironment.
Published in
Mutant KRAS Heterogeneity Shapes Nuclear Architecture During Pancreatic Cancer Initiation
Pollin G, Mathison AJ, Leverence EN et al. · Epigenomes 2026 · PMID 41892368 · doi:10.3390/epigenomes10010019
This dataset
Open GSE295683 in finder → Find more human 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 GSE295683_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 PRJNA1255585 and SRA study SRP581315. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41892368) ↗
Study design
22 conditions, mostly in triplicate
EV-doxy ×3 EV+doxy ×3 WT-doxy ×3 WT+doxy ×3 G12C-doxy ×3 G12C+doxy ×3 G12D-doxy ×3 G12D+doxy ×3 +14 more

Supports a between-group comparison across 66 samples.

How we read this: 22 replicated groups read from 66 sample titles; they account for 66 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

+ 26 more — browse all 66 samples with per-sample file links →

Datasets on a similar topic

Search all human 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.