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ID8 cells manifest phenotypic plasticity and molecular heterogeneity of high-grade serous ovarian cancer in response to the local tissue niche

GSE289286 Mus musculus (mouse) RNA-seq (gene expression) 17 samples Submitted 2025/07/02 Platform GPL21493
At a glance

RNA-seq (gene expression) · mouse · 17 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
17 samples: 5 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
ID8 cells manifest phenotypic plasticity and molecular heterogeneity of high-grade serous ovarian cancer in response to the local tissue nicheScientific reports · 2025
Summary (written by the submitters)
Spontaneously transformed mouse ovarian surface epithelial cell line ID8 generates a syngeneic mouse model, frequently used in pre-clinical evaluation. Towards a precise, subtype-specific perspective of such applications, we thought it pertinent to study its stratification into a specific molecular subtype, which would provide an accurate setting for interpretation of experimental data.
Read the full summary ↓
Stratification of ID8 model was achieved through phenotypic, histopathological, and molecular assessment of ID8 cells grown in vitro, its primary xenografts and metastases. TME investigation of primary and metastatic tumors revealed contrasting immune populations.
Published in
ID8 cells manifest phenotypic plasticity and molecular heterogeneity of high-grade serous ovarian cancer in response to the local tissue niche
Gupta R, Shravan S, Agwane SB et al. · Scientific reports 2025 · PMID 41044210 · doi:10.1038/s41598-025-18264-8
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 GSE289286_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 PRJNA1222341 and SRA study SRP563223. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in triplicate
ID8 ortho ×3 ID8 asc T1 ×3 ID8 asc T2 ×3 ID8 Met Int ×3 ID8 sc ×2 ID8 cell line ×1 C57BL6 OVARY ×1 C57BL6 INTESTINE ×1

Supports a between-group comparison across 14 samples.

How we read this: 5 replicated groups read from 17 sample titles; they account for 14 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
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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.