A p53-CCF circuit integrates genome integrity with senescence phenotypes [RNA-Seq 3]
Single-cell RNA-seq · mouse · 29 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 29 samples: 6 conditions, mostly with about 5 replicates eachGroups 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
- p53 enhances DNA repair and suppresses cytoplasmic chromatin fragments and inflammation in senescent cellsNature communications · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE259294_RAW.tar (it can run to tens of gigabytes).
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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1080589 and SRA study SRP491802. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 29 samples.
How we read this: 6 replicated groups read from 29 sample titles; they account for 29 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.
- GSM8113410 vehicle, 20 months, female, rep 1 vehicle, 20 months, fem…
- GSM8113411 vehicle, 20 months, female, rep 2 vehicle, 20 months, fem…
- GSM8113412 vehicle, 20 months, female, rep 3 vehicle, 20 months, fem…
- GSM8113413 vehicle, 20 months, female, rep 4 vehicle, 20 months, fem…
- GSM8113414 HDM201, 20 months, female, rep 1 HDM201, 20 months, fema…
- GSM8113415 HDM201, 20 months, female, rep 2 HDM201, 20 months, fema…
- GSM8113416 HDM201, 20 months, female, rep 3 HDM201, 20 months, fema…
- GSM8113417 HDM201, 20 months, female, rep 4 HDM201, 20 months, fema…
- GSM8113418 HDM201, 20 months, female, rep 5 HDM201, 20 months, fema…
- GSM8113419 vehicle, 24 months, male, rep 1 vehicle, 24 months, mal…
- GSM8113420 vehicle, 24 months, male, rep 2 vehicle, 24 months, mal…
- GSM8113421 vehicle, 24 months, male, rep 3 vehicle, 24 months, mal…
- GSM8113422 vehicle, 24 months, male, rep 4 vehicle, 24 months, mal…
- GSM8113423 vehicle, 24 months, male, rep 5 vehicle, 24 months, mal…
- GSM8113424 HDM201, 24 months, male, rep 1 HDM201, 24 months, male,
- GSM8113425 HDM201, 24 months, male, rep 2 HDM201, 24 months, male,
- GSM8113426 HDM201, 24 months, male, rep 3 HDM201, 24 months, male,
- GSM8113427 HDM201, 24 months, male, rep 4 HDM201, 24 months, male,
- GSM8113428 HDM201, 24 months, male, rep 5 HDM201, 24 months, male,
- GSM8113429 vehicle, 5 months, male, rep 1 vehicle, 5 months, male,
- GSM8113430 vehicle, 5 months, male, rep 2 vehicle, 5 months, male,
- GSM8113431 vehicle, 5 months, male, rep 3 vehicle, 5 months, male,
- GSM8113432 vehicle, 5 months, male, rep 4 vehicle, 5 months, male,
- GSM8113433 vehicle, 5 months, male, rep 5 vehicle, 5 months, male,
- GSM8113434 vehicle, 5 months, female, rep 1 vehicle, 5 months, fema…
- GSM8113435 vehicle, 5 months, female, rep 2 vehicle, 5 months, fema…
- GSM8113436 vehicle, 5 months, female, rep 3 vehicle, 5 months, fema…
- GSM8113437 vehicle, 5 months, female, rep 4 vehicle, 5 months, fema…
- GSM8113438 vehicle, 5 months, female, rep 5 vehicle, 5 months, fema…
- GSE294362 Aged bone marrow myeloid and mesenchymal cells develop unique senescence phenotypes 80 samples shares senescence, phenotypes
- GSE277393 Temporal misexpression of En1 during limb development causes distinct phenotypes [RNA-seq] 33 samples shares phenotypes, rna-seq
- GSE267450 Loss of Nuclear Receptor Nr4a3 Alleviates Cellular Senescence to Promote Adult Direct Cardiac Reprogramming (RNA-Seq) 30 samples shares senescence, rna-seq
- GSE237783 Complex interaction of tumor-derived factors instructs the niche specific phenotypes of tumor-associated macrophages [RNA-Seq] 28 samples shares phenotypes, rna-seq
- GSE297298 Single-cell RNA-sequencing identifies anti-cancer immune phenotypes in the early lung metastatic niche during breast cancer 18 samples shares phenotypes, rna-seq
- GSE281677 CD4 T cell therapy counteracts inflammaging and senescence by preserving gut barrier integrity 15 samples shares senescence, integrity
- GSE298836 Loss of Histone Methyltransferase Ezh2 Exacerbates Polarization of Macrophages toward M2-Like Phenotypes by Hepatocellular Carcinoma [RNA-Seq] 14 samples shares phenotypes, rna-seq
- GSE285108 SenCat: Redefining human cell senescence through multiomic profiling of multiple senescent cell types [scRNA-seq] 9 samples shares senescence, rna-seq
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.