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Overlapping and Distinct Transcriptional Functions of an Extended Repertoire of KRAS Mutations

GSE230860 Homo sapiens (human) RNA-seq (gene expression) 114 samples Submitted 2026/04/01 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 114 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
114 samples: 110 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
Mutant KRAS Heterogeneity Shapes Nuclear Architecture During Pancreatic Cancer InitiationEpigenomes · 2026
Summary (written by the submitters)
The challenge of interpreting novel genetic variations in genomics is widespread. Previous studies have shown the role of KRAS mutations in heritable and somatic conditions, but more genetic variants have been observed than have been characterized. This study compares a broad genomic landscape of 25 KRAS mutations at three cellular checkpoint levels: ERK and AKT signaling, early cell-intrinsic transcriptional regulation, and secretory inflammatory responses.
Read the full summary ↓
The results show heterogeneity in KRAS biology, with distinct mutations inducing significantly different levels of phosphorylated ERK, transcriptional profiles, and cytokine protein profiles. This heterogeneity may underlie variation in inter-individual disease patterns and contribute to differences in disease initiation or progression. Transcriptional profiles implicate different extents of feedback from upstream receptor kinases through diverse downstream nuclear targets and immunomodulatory programs. Integrated analysis reveals heterogeneity and potentially actionable outcomes for distinct groups of KRAS mutations in human cells.
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 GSE230860 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 GSE230860_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 PRJNA962870 and SRA study SRP435038. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41892368) ↗
Study design
110 distinct titles, 4 of them repeated
Kras G12D c1 -doxy rep1 R2021-000567 ×2 Kras G12D c1 -doxy rep2 R2021-000568 ×2 Kras G12D c1 + doxy rep1 R2021-000569 ×2 Kras G12D c1 + doxy rep2 R2021-000570 ×2

How we read this: Read from 114 sample titles: 110 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

+ 74 more — browse all 114 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.