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p21, ccng1, foxo3b and fbxw7 contribute to p53-dependent cell-cycle arrest [Mouse IR]

GSE288659 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/06/16 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples
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
p21, ccng1, foxo3b, and fbxw7 contribute to p53-dependent cell cycle arrestiScience · 2025
Summary (written by the submitters)
p53 is a transcription factor that plays a critical role in cancer prevention. However, the mechanisms by which p53 exerts its tumor-suppressive function is still unclear. While PUMA/BBC3 and NOXA/PMAIP1 are known to be important in p53-dependent apoptosis, and p21/CDKN1A is crucial for p53-dependent cell-cycle arrest, we demonstrate that zebrafish lacking puma, noxa, and p21 do not show a predisposition to cancer.
Read the full summary ↓
This suggests that additional p53 transcriptional targets are sufficient for its tumor suppressive function. Contrary to the prevailing belief that p21 is the key regulator of p53-dependent cell-cycle arrest, we provide evidence that p53 can still induce cell-cycle arrest in the absence of p21, following DNA damage or loss of mdm2 (p53 activation in the absence of stress). This implies the involvement of other p53 transcriptional targets in mediating p53-dependent cell-cycle arrest. Since p53 tumor suppression is conserved across multiple vertebrate species, we conducted a cross-species comparative analysis of p53-dependent transcriptional profiles to identify a conserved set of 136 p53-upregulated transcripts. Our analysis stresses the importance of ortholog to paralog analysis across species, since in many cases the paralog but not ortholog in differing species is p53 dependent. Additionally, we performed a CRISPR/Cas9 G0 “crispant” screen in a genetic background lacking mdm2, puma, noxa, and p21 to identify key components involved in p53-dependent cell-cycle arrest. Our findings revealed that ccng1, fbxw7, and foxo3b play an important role in this process.
Published in
p21, ccng1, foxo3b, and fbxw7 contribute to p53-dependent cell cycle arrest
Wang J, Li Z, Thomas HR et al. · iScience 2025 · PMID 40487439 · doi:10.1016/j.isci.2025.112558
This dataset
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.

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 GSE288659_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1218810 and SRA study SRP561351. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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