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Ketogenic diet induces p53-dependent cell senescence in multiple organs

GSE233831 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2024/04/12 Platform GPL24247
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
Ketogenic diet induces p53-dependent cellular senescence in multiple organsScience advances · 2024
Summary (written by the submitters)
Mice on two different ketogenic diets induce p53 and cellular senescence in multiple organs, including heart and kidney. This is mediated through inactivation of MDM2 by caspase-2 cleavage, leading to p53 accumulation and induction of p21. Ketogenic diet also induced pAMPK, suggesting that persistent activation leads to p53-dependent senescence.
Published in
Ketogenic diet induces p53-dependent cellular senescence in multiple organs
Wei SJ, Schell JR, Chocron ES et al. · Science advances 2024 · PMID 38758782 · doi:10.1126/sciadv.ado1463
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 GSE233831_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 PRJNA978062 and SRA study SRP440485. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
WT heart, 21 days keto, biol ×3 WT kidney, 21 days keto, biol ×3 WT liver, 21 days keto, biol ×3 WT heart, normal diet, biol ×3 WT kidney, normal diet, biol ×3 WT liver, normal diet, biol ×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
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.