← BioTransfer GEO Dataset Finder
GEO series

A forward genetic screen identifies Sirtuin1 as a driver of neuroendocrine prostate cancer.

GSE271066 Mus musculus (mouse) RNA-seq (gene expression) 44 samples Submitted 2026/04/13 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 44 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
44 samples: 43 × CMZGroups 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
A forward genetic screen identifies Sirtuin1 as a driver of neuroendocrine prostate cancerbioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
Although most prostate tumors are relatively indolent, advanced disease can progress to aggressive, often lethal variants, including neuroendocrine prostate cancer (NEPC). To identify drivers of aggressive prostate cancer, we used Sleeping Beauty (SB) transposon mutagenesis in a mouse model having prostate-specific loss of Pten and Tp53 (NPp53 mice).
Read the full summary ↓
Compared with control NPp53-SB(—) mice, experimental NPp53-SB(+) mice developed more aggressive tumors with increased metastasis. Notably, NPp53-SB(+) mice exhibited NEPC phenotypes with transcriptomic features that recapitulate human NEPC. Analysis of recurrent common insertion sites (CIS) and associated genes (CIS-genes) identified genes differentially expressed between NEPC and non-NEPC tumors. Analysis of NEPC-enriched CIS genes by cross-species integration of genomic and transcriptomic data prioritized Sirtuin 1 (Sirt1) as a candidate mechanistic determinant of NEPC. Gain- and loss-of-function studies in human prostate cancer cells and mouse NEPC organoids confirmed that SIRT1 promotes NEPC, while pharmacological inhibition suppresses it. Thus, integration of cross-species analyses with an unbiased forward genetic screen uncovered novel drivers of NEPC.
Published in
A forward genetic screen identifies Sirtuin1 as a driver of neuroendocrine prostate cancer
de Almeida FN, Vasciaveo A, Antao AM et al. · bioRxiv : the preprint server for biology 2024 · PMID 39253480 · doi:10.1101/2024.08.24.609538
This dataset
Open GSE271066 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 GSE271066_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 PRJNA1129532 and SRA study SRP516823. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39253480) ↗
Study design
43 × CMZ

Supports a between-group comparison across 43 samples.

How we read this: 1 replicated groups read from 44 sample titles; they account for 43 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

+ 4 more — browse all 44 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.