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SUMOylated Etv1 establishes tumor-initiating cells during mammary oncogenesis

GSE242487 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 39 samples Submitted 2025/03/16 Platform GPL21273Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 39 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
39 samples: 11 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
Sumoylated Etv1 establishes mouse mammary cancer stem cells that support tumorigenesis by non-stem cancer cellsDevelopmental cell · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
Sumoylated Etv1 establishes mouse mammary cancer stem cells that support tumorigenesis by non-stem cancer cells
Li Z, Koch KE, Thompson DT et al. · Developmental cell 2025 · PMID 40315856 · doi:10.1016/j.devcel.2025.04.005
This dataset
Open GSE242487 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 GSE242487_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 PRJNA1013565 and SRA study SRP458869. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40315856) ↗
Study design
11 conditions, mostly in triplicate
Ube2iF/F SUMO1_CRE ×3 Ube2iF/F SUMO1_GFP ×3 Ube2iF/F Etv1_CRE ×3 Ube2iF/F Etv1_GFP ×3 Ube2iF/F_Ad-Cre ×3 Ube2iF/F_Ad-mCherry ×3 Ube2iF/F 5xKR ×3 Ube2iF/F 5xKR-S1 ×3 +12 more

Supports a between-group comparison across 30 samples.

How we read this: 11 replicated groups read from 39 sample titles; they account for 30 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.