← BioTransfer GEO Dataset Finder
GEO series

CUT&Tag analysis of H3K4me3, H3K27Ac,H2A119Ub, H3K27me3 and H3K36me3 in KPC1199 murine PDAC cell line

GSE229903 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 10 samples Submitted 2024/12/31 Platform GPL13112
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 10 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
10 samples: 10 samples, each with a distinct title — no replicated groupsGroups 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
Targeting pancreatic cancer glutamine dependency confers vulnerability to GPX4-dependent ferroptosisCell reports. Medicine · 2025
Summary (written by the submitters)
To gain mechanistic insight into how Epigenetic factors reprogramming metabolism in response to glutamine starvation. we performed CUT&Tag sequencing in murine PDAC cells. KPC1199 cells were treated in Cont group or Low Gln group , and harvested after 72 hours. CUT&Tag assay was performed following the manual of hyperactive pG-Tn5/pA-Tn5 transposase for CUT&Tag kit (TD901, Vazyme). DNA library were prepared according to manufacturer’s instructions of Trueprep index kit v2 (TD202, Vazyme).
Published in
Targeting pancreatic cancer glutamine dependency confers vulnerability to GPX4-dependent ferroptosis
Shen X, Chen Y, Tang Y et al. · Cell reports. Medicine 2025 · PMID 39879992 · doi:10.1016/j.xcrm.2025.101928
This dataset
Open GSE229903 in finder → Find more mouse ChIP / ATAC / CUT&Tag 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 GSE229903_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA956558 and SRA study SRP433422. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39879992) ↗
Study design
10 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 10 sample titles: 10 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
Datasets on a similar topic

Search all mouse ChIP / ATAC / CUT&Tag datasets in GEO →

Share this dataset

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.