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Characterising transcriptional changes throughout c-MYC-driven tumorigenesis in the mammary gland (MMTV-cMYC mouse model)

GSE295796 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2025/09/12 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 5 conditions, mostly with about 5 replicates eachGroups 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)
c-MYC oncogene is one of the driver lesions in many types of cancer. Among breast cancers, triple negative subtype (TNBC) is characterised by high aggressivness and is associated with high transcriptional activity of MYC. MMTV-cMYC mouse model, in which ectopic expression of c-MYC is driven by mouse mammary tumour virus promoter, is a widely used model of MYC-driven breast cancer.
Read the full summary ↓
MMTV-cMYC mice develop tumours in the mammary gland(s) at ages ranging from 6 to 10 months. MYC regulates activity of multiple processes including cell cyle, proliferation, metabolism, protein translation, inflammation and apoptosis among others. Previous studies demonstrated that MMTV-cMYC tumours are very heterogeneous. However, how different procecesses regulated by MYC contribute to different steps of the transformation process and tumour development is not known. To evaluate how the expression of genes changes from the initiation of transformation process by ectopic expression of c-MYC in mammary gland epithelial cells to the development of tumours, we perfomed RNAseq analysis of tissues collected from mammary glands and tumours of MMTV-cMYC mice of different ages. Wild type age-matched littermates were used as controls.
This dataset
Open GSE295796 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 GSE295796_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: 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 PRJNA1256383 and SRA study SRP581796. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 conditions, mostly with about 5 replicates each
LARGE_MYCPOS ×9 SMALL_MYCPOS ×6 6WK_NEG ×5 6WK_MYCPOS ×5 12WK_MYCPOS ×5

Supports a between-group comparison across 30 samples.

How we read this: 5 replicated groups read from 30 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.