Decoding Trp53 regulatory program with knockout cell transcriptomic landscape analyses [scRNA-seq]
Single-cell RNA-seq · mouse · 247 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 247 samples: 64 conditions, mostly in duplicateGroups 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
- Dissecting cross-lineage tumourigenesis under p53 inactivation through single-cell multi-omics and spatial transcriptomicsClinical and translational medicine · 2025
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 GSE217662_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 PRJNA899905 and SRA study SRP407088. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 133 samples.
How we read this: 64 replicated groups read from 247 sample titles; they account for 133 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.
- GSM6724095 scRNA_KO0069mouse_BoneMarrow
- GSM6724096 scRNA_KO0069mouse_Brain
- GSM6724097 scRNA_KO0069mouse_Heart
- GSM6724098 scRNA_KO0069mouse_LargeIntestine
- GSM6724099 scRNA_KO0069mouse_Lung
- GSM6724100 scRNA_KO0069mouse_LymphNodes
- GSM6724101 scRNA_KO0069mouse_Ovary
- GSM6724102 scRNA_KO0069mouse_Pancreas
- GSM6724103 scRNA_KO0069mouse_Spleen
- GSM6724104 scRNA_KO0069mouse_Stomach
- GSM6724105 scRNA_KO0069mouse_Uterus
- GSM6724106 scRNA_KO0058mouse_Bladder
- GSM6724107 scRNA_KO0058mouse_BoneMarrow
- GSM6724108 scRNA_KO0058mouse_Brain
- GSM6724109 scRNA_KO0058mouse_Gallbladder-BileDuct
- GSM6724110 scRNA_KO0058mouse_Heart
- GSM6724111 scRNA_KO0058mouse_Kidney
- GSM6724112 scRNA_KO0058mouse_LargeIntestine
- GSM6724113 scRNA_KO0058mouse_Liver
- GSM6724114 scRNA_KO0058mouse_Lung
- GSM6724115 scRNA_KO0058mouse_LymphNodes
- GSM6724116 scRNA_KO0058mouse_MammaryGland
- GSM6724117 scRNA_KO0058mouse_Ovary
- GSM6724118 scRNA_KO0058mouse_Pancreas
- GSM6724119 scRNA_KO0058mouse_SmallIntestine
- GSM6724120 scRNA_KO0058mouse_Spleen
- GSM6724121 scRNA_KO0058mouse_Stomach
- GSM6724122 scRNA_KO0058mouse_Thymus
- GSM6724123 scRNA_KO0058mouse_Uterus
- GSM6866097 plate1_scRNA_KO0045mouse_Bladder
- GSM6866098 plate1_scRNA_KO0045mouse_LargeIntestine
- GSM6866099 plate1_scRNA_WT0105mouse_Bladder
- GSM6866100 plate1_scRNA_WT0105mouse_BoneMarrow
- GSM6866101 plate1_scRNA_WT0105mouse_Brain
- GSM6866102 plate1_scRNA_WT0105mouse_Gallbladder-BileDuct
- GSM6866103 plate1_scRNA_WT0105mouse_Heart
- GSM6866104 plate1_scRNA_WT0105mouse_Kidney
- GSM6866105 plate1_scRNA_WT0105mouse_LargeIntestine
- GSM6866106 plate1_scRNA_WT0105mouse_Liver
- GSM6866107 plate1_scRNA_WT0105mouse_Lung
+ 207 more — browse all 247 samples with per-sample file links →
- GSE217664 Decoding Trp53 regulatory program in various tissues and organs 404 samples shares trp53, regulatory, decoding, program
- GSE267967 Foxp3 and BATF cooperatively direct cis-regulatory programs and gene expression for functional differentiation of Treg cells [RNA-seq] 26 samples shares regulatory, program
- GSE274081 A distinct cis-regulatory element is required for ILC3s to maintain intestinal tolerance through amplifying RORγt expression [scRNA-seq] 2 samples shares regulatory, scrna-seq
- GSE322558 Physiologic variation in sperm miRNAs tunes embryonic gene regulatory programs and developmental outcomes 622 samples shares regulatory, program
- GSE241378 Alternative splicing of a chromatin modifier alters the transcriptional regulatory programs of embryonic stem cell maintenance and neuronal differentiation. 36 samples shares regulatory, program
- GSE267882 Foxp3 and BATF cooperatively direct cis-regulatory programs and gene expression for effector Treg cell differentiation [ChIP-Seq] 34 samples shares regulatory, program
- GSE267881 Foxp3 and BATF cooperatively direct cis-regulatory programs and gene expression for effector Treg cell differentiation [ATAC-Seq] 30 samples shares regulatory, program
- GSE274125 Timestamp tracing delineates thymic regulatory T cell ontogeny in native conditions [scRNA-seq] 20 samples shares regulatory, scrna-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.