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Fibroblast growth factor receptor signaling modulates cholesterol storage in a SOAT1-dependent manner to promote mammary tumor cell invasion

GSE276731 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2025/07/07 Platform GPL21626
At a glance

RNA-seq (gene expression) · mouse · 18 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)
Samples
18 samples: 18 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
Fibroblast growth factor receptor signaling modulates cholesterol storage in a SOAT1-dependent manner to promote mammary tumor cell invasionBreast cancer research : BCR · 2025
Summary (written by the submitters)
Signaling by fibroblast growth factor receptors (FGFRs) is active in up to 85% of breast cancers and results in enhanced proliferation, migration, and invasion of tumor cells. Here, we show that FGFR signaling regulates cholesterol metabolism in breast cancer. Specifically, we demonstrate that FGFR signaling promotes cellular cholesterol storage by upregulating expression of the enzyme sterol O-acyltransferase 1 (SOAT1).
Read the full summary ↓
Moreover, we demonstrate that inhibition of SOAT1 attenuates FGFR-driven colony formation and invasion in tumor cells. Finally, we identify a relationship between SOAT1 inhibition and decreased integrin expression and fibronectin binding by tumor cells. Taken together, these findings suggest a previously undiscovered metabolic role for FGFR signaling in breast cancer and present a therapeutic vulnerability that could be targeted in FGFR-driven breast cancer.
Published in
Fibroblast growth factor receptor signaling modulates cholesterol storage in a SOAT1-dependent manner to promote mammary tumor cell invasion
Tuokkola JE, Reese LE, Wang Y et al. · Breast cancer research : BCR 2025 · PMID 40665359 · doi:10.1186/s13058-025-02084-9
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 GSE276731_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 PRJNA1158773 and SRA study SRP531551. Searching any of these in the dataset finder brings you back here.

Study design
18 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 18 sample titles: 18 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

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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.