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The effect of MDM2 overexpression on the cellular response to etoposide treatment

GSE305458 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/08/24 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × biallelic_Trp53_mut_Mdm2_OE vs 4 × biallelic_Trp53_mut_only vs 4 × monoallelic_Trp53_mut_Mdm2_OE vs 4 × monoallelic_Trp53_mut_onlyGroups 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
The pathogenesis of therapy-related myeloid neoplasms from TP53-mutant clonal hematopoiesisLeukemia · 2026
Summary (written by the submitters)
We aimed to study the effect of mutational and non-mutational p53 inactivation on the response of hematopoietic progenitor cells to genotoxic treatment. In order to study this in vitro, we generated HSPC lines by enforced ER-Hoxb8 expression in bone marrow cells derived from transgenic Trp53-fl-R245W-GFP mice (in hetero- or homozygous state).
Read the full summary ↓
Upon induction of the Trp53-R245W missense mutation, these cells carry mutational mono- or biallelic loss of wild-type p53. In the genetic background of mono- or biallelic Trp53 mutations, we additionally transduced these cells lentivirally with a construct overexpressing murine Mdm2 or a control vector. This leads to non-mutational inactivation of functional p53. Thereby, we aimed to compare the transcriptional response to genotoxic treatment in cells carrying mono- or biallelic Trp53 mutations with or without non-mutational p53 inactivation through Mdm2 overexpression.
Published in
The pathogenesis of therapy-related myeloid neoplasms from TP53-mutant clonal hematopoiesis
Fullin J, Topçu E, Zielińska KA et al. · Leukemia 2026 · PMID 41407825 · doi:10.1038/s41375-025-02839-5
This dataset
Open GSE305458 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 GSE305458_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 PRJNA1306013 and SRA study SRP608899. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41407825) ↗
Study design
4 × biallelic_Trp53_mut_Mdm2_OE vs 4 × biallelic_Trp53_mut_only vs 4 × monoallelic_Trp53_mut_Mdm2_OE vs 4 × monoallelic_Trp53_mut_only

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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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