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High-grade serous ovarian cancer induced in different sites of origin in mice exemplifies diverse features of the human disease

GSE299754 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2025/10/31 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 32 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
32 samples: 32 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.
Summary (written by the submitters)
We have developed novel genetically engineered mouse models for high-grade serous carcinoma of the ovary. We compare expression profiles of 4 different models for HGSC, one developing carcinoma from the ovarian surface epithelium (OSE) and 3 others that develop carcinoma from Fallopian tube epithelium (FTE).
Read the full summary ↓
FTE-originating cancer models utilize either Pax8- or Ovgp1-promotor driven expression of inducible Cre recombinase (CreERT2) and the last model utilizes direct injection of adeno-virus expressing Cre recombinase into oviducts to induce the desired genetic aberrations: loss of Brca1, loss or mutation (R172H) of Trp53 and inhibition of proteins of the Rb family (via expression of K18GT121 transgene). We compare tumors from genetically engineered mouse models (GEMMs) and from GEM-derived allografts and compare them to corresponding normal tissue: ovary or oviduct (mouse equivalent of Fallopian tube). Expression profiling allowed us to investigate molecular subtypes of HGSC in these models and comparison to human HGSC.These well-defined, tractable models represent a valuable resource for assessing novel drugs and immunotherapies for patients with HGSC.
This dataset
Open GSE299754 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 GSE299754_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 PRJNA1276438 and SRA study SRP591903. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
32 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 26 samples read as cases, 6 as controls.

How we read this: Read from 32 sample titles: 32 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 RNA-seq datasets in GEO →

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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.