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Tumorigenic p53S Balances Aging and Tumorigenesis via Regulating DREAM/MMB and its Downstream Telomere DNA Replication Pathways

GSE295548 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2025/04/29 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 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.
Summary (written by the submitters)
The Werner Syndrome (WS) is characterized with both premature aging and tumorigenic phenotypes. We introduced a tumorigenic mutation p53S found in immortalized WS mouse embryo fibroblasts (MEFs) back into WS mice to investigate the impact of p53S in telomere dysfunction induced aging process. We found that the introduction of p53S rescued the aging phenotypes of Werner syndrome, showing as the extension of life span, and the delay of organ degeneration.
Read the full summary ↓
Further studies revealed that the introduction of p53S transcriptionally upregulated DREAM/MMB pathway and its downstream DNA helicase and telomere maintenance proteins, and facilitated the recruitment of these proteins to G4 DNA structures and DNA replication forks, which compensated the loss of Wrn and telomerase function and solved the DNA replication, telomere lengthening, and cell proliferation problems via unwinding G4 structures, which ultimately, rescue the aging phenotypes of WS. Together, our data reveal that certain features of tumorigenesis can be applied to balance with premature aging, rescue aging phenotype without tumor risk. This study suggests a new mechanism and potential tumor-free longevity strategy in aging regulation.
This dataset
Open GSE295548 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 GSE295548_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 PRJNA1255161 and SRA study SRP581169. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
6 conditions, mostly in triplicate
G3TM ×3 G5DM ×3 G5TM ×3 G1DM ×2 G1TM ×2 G3DM ×2

Supports a between-group comparison across 15 samples.

How we read this: 6 replicated groups read from 15 sample titles; they account for 15 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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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.