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Molecular Features of Aggressive Preinvasive Lesions driven by Combined MYC Activation and PTEN Loss in Mouse Prostate

GSE287166 Mus musculus (mouse) RNA-seq (gene expression) 21 samples Submitted 2025/10/13 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 21 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
21 samples: 7 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
Combined MYC Activation and PTEN Loss Drives Molecular Features of Aggressive Preinvasive Lesions in Mouse ProstateMolecular cancer research : MCR · 2026
Summary (written by the submitters)
Gain of MYC combined with biallelic PTEN loss strongly predicts prostate cancer mortality. Prior studies have shown that combined MYC overexpression and Pten loss resulted in the development of mouse prostatic intraepithelial neoplastic (PIN) precursor lesions that progress to invasive and metastatic disease (BMPC mice). Yet, single gene alterations in these mice result only in PIN. Herein, we performed transcriptomic profiling of PIN lesions from mouse prostates with MYC overexpression, loss of Pten, and the combination thereof in BMPC mice.
Published in
Combined MYC Activation and PTEN Loss Drives Molecular Features of Aggressive Preinvasive Lesions in Mouse Prostate
Rubenstein M, Rege A, Hubbard G et al. · Molecular cancer research : MCR 2026 · PMID 41081599 · doi:10.1158/1541-7786.MCR-24-1206
This dataset
Open GSE287166 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 GSE287166_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 PRJNA1211536 and SRA study SRP557963. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41081599) ↗
Study design
7 conditions, mostly in triplicate
Anterior prostate FVB mouse ×3 Ventral prostate FVB mouse ×3 Ventral prostate Hoxb13-MYC mouse ×3 Anterior prostate Hoxb1313-Cre|PtenFl/Fl mouse ×3 Anterior prostate BMPC mouse ×3 Primary prostate tumor BMPC mouse ×3 Lymph node metastasis BMPC mouse ×3

Supports a between-group comparison across 21 samples.

How we read this: 7 replicated groups read from 21 sample titles; they account for 21 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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