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Spatiotemporal control of SMARCA5 by a MAPK-RUNX1 axis distinguishes mutant KRAS-driven pancreatic malignancy from tissue regeneration (RNA-Seq)

GSE248947 Mus musculus (mouse) RNA-seq (gene expression) 28 samples Submitted 2025/07/01 Platform GPL24247Platform GPL28330Platform GPL29480
At a glance

RNA-seq (gene expression) · mouse · 28 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)
Topic
Pancreatic cancerThis series is part of our curated briefing on it.
Samples
28 samples: 10 conditions, mostly in duplicateGroups 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)
De-differentiation or trans-differentiation is a common response to injury in many tissues, and the processes predispose cells to cancer. Acute pancreatitis-induced acinar-to-ductal metaplasia (ADM) is similar to pancreatic ductal adenocarcinoma (PDAC) at both the chromatin level and gene expression level. Mutant KRAS induces chromatin remodeling activities required for both regeneration and tumorigenesis at the peak of ADM, and it blocks regeneration.
Read the full summary ↓
We show that chromatin remodeler SMARCA5 (SNF2H) can promotes the regeneration defects caused by mutant KRAS by maintaining chromatin accessibility at regions specifically required for malignancy. Mechanistically, regeneration-related chromatin remodeling activities are shared between wild-type and mutant KRAS and they occur very early upon pancreatitis, while the malignancy-related chromatin regions become accessible much later. The activity of SMARCA5 is controlled spatiotemporally by transcription factor RUNX1, which is only accumulated at sufficient levels at late ADM lock-in stage. Finally, we show that the malignancy regulation activity of SMARCA5 is different from its general function in CTCF recruitment. In summary, we have identified a specific function of a general chromatin remodeler that is precisely controlled during acinar cell trans-differentiation to separate malignancy from tissue regeneration.
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 GSE248947_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 PRJNA1046497 and SRA study SRP474954. Searching any of these in the dataset finder brings you back here.

Study design
10 conditions, mostly in duplicate
RNA_D7_Rosa ×5 RNA_D7_Smarca5 ×2 RNA_D7_Runx1 ×2 RNA_tumor_Rosa ×2 RNA_tumor_Smarca5 ×2 PDCC,shRUNX1, ×2 PDCC,shScramble, ×2 PDCC,shSMARCA5, ×2 +7 more

Supports a case/control comparison: 6 samples read as cases, 4 as controls.

How we read this: 10 replicated groups read from 28 sample titles; they account for 23 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
More Pancreatic cancer datasets

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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.