← BioTransfer GEO Dataset Finder
GEO series

E-cadherin regulates female tumor aggressiveness by controlling estrogen-sensitivity [ChIP-seq]

GSE237500 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 13 samples Submitted 2025/04/21 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 13 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
13 samples: 13 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 GRPR for sex hormone-dependent cancer after loss of E-cadherinNature · 2025
Summary (written by the submitters)
Sex disparities in cancer have been documented, but understanding of the underlying mechanisms is still limited, restricting precision medicine and the discovery of new therapeutic options. By analyzing overall cancer frequency, we found that women, between puberty and menopause, are more prone to develop cancer than men. We identified the cell adhesion molecule, E-cadherin, as a central node of the estrogen response in multiple cancers.
Read the full summary ↓
Using original mouse melanoma model, a cancer with a higher incidence of women than in men during this period, we identify a previously unknown estrogen-sensitizing signaling pathway linking E-cadherin to the Estrogen Receptor  and to the Gastrin Releasing Peptide Receptor (GRPR), promoting melanoma aggressiveness in female only. Inhibition of this axis through GRPR targeting suppress metastasis in mice, representing a very promising therapeutic approach. Our results demonstrate that E-cadherin prevents carcinoma sensitivity to estrogens and identify a new therapeutic avenue to treat women suffering from multiple E-cadherin-dependent cancers.
Published in
Targeting GRPR for sex hormone-dependent cancer after loss of E-cadherin
Raymond JH, Aktary Z, Pouteaux M et al. · Nature 2025 · PMID 40500450 · doi:10.1038/s41586-025-09111-x
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 GSE237500_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA995537 and SRA study SRP449876. Searching any of these in the dataset finder brings you back here.

Study design
13 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 13 sample titles: 13 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.