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Pharmacological inhibition of SIRT1 limits the growth of ovarian granulosa cell tumors in vitro and in preclinical mouse models

GSE252773 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2024/12/31 Platform GPL24247Platform GPL24676
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples: 6 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
Pharmacologic Inhibition of SIRT1 Limits the Growth of Tumoral and Metastatic Granulosa Cells by Affecting mTOR, Myc, and E2F PathwaysMolecular cancer therapeutics · 2025
Summary (written by the submitters)
RNA-sequencing was used to analyze the impact of EX-527 treatment (SIRT1 inhibitor) on gene expression and molecular pathways
Published in
Pharmacologic Inhibition of SIRT1 Limits the Growth of Tumoral and Metastatic Granulosa Cells by Affecting mTOR, Myc, and E2F Pathways
Cluzet V, Airaud E, Tete A et al. · Molecular cancer therapeutics 2025 · PMID 40165749 · doi:10.1158/1535-7163.MCT-24-0957
This dataset
Open GSE252773 in finder → Find more 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 GSE252773_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 PRJNA1062422 and SRA study SRP482580. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40165749) ↗
Study design
6 conditions, mostly in triplicate
KGN-CT ×3 KGN-Ex-50uM ×3 COV-CT ×3 COV-Ex50uM ×3 AT29-CT ×3 AT29-Ex50uM ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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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