Blocking Nuclear Receptor Nr4a3 Unlocks the Senescence Barrier to Promote Direct Cardiac Reprogramming
Single-cell RNA-seq · mouse · 12 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
- 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
- Blocking nuclear receptor Nr4a3 unlocks the senescence barrier to promote direct cardiac reprogrammingScience advances · 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 GSE267466_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 PRJNA1111552 and SRA study SRP507630. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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.
- GSM8267086 LacZ Neo 1 replicate 1, MGT, Day3
- GSM8267087 LacZ Neo 2 replicate 1, MGT, Day3
- GSM8267088 LacZ Adult 1 replicate 1, MGT, Day3
- GSM8267089 LacZ Adult 2 replicate 1, MGT, Day3
- GSM8267090 LacZ Aged 1 replicate 1, MGT, Day3
- GSM8267091 LacZ Aged 2 replicate 1, MGT, Day3
- GSM8267092 MGT Neo 1 replicate 1, MGT, Day3
- GSM8267093 MGT Neo 2 replicate 1, MGT, Day3
- GSM8267094 MGT Adult 1 replicate 1, MGT, Day3
- GSM8267095 MGT Adult 2 replicate 1, MGT, Day3
- GSM8267096 MGT Aged 1 replicate 1, MGT, Day3
- GSM8267097 MGT Aged 2 replicate 1, MGT, Day3
- GSE267452 Loss of Nuclear Receptor Nr4a3 Alleviates Cellular Senescence to Promote Adult Direct Cardiac Reprogramming 54 samples shares nr4a3, reprogramming, senescence, receptor, nuclear
- GSE267447 Loss of Nuclear Receptor Nr4a3 Alleviates Cellular Senescence to Promote Adult Direct Cardiac Reprogramming (ATAC-Seq) 16 samples shares nr4a3, reprogramming, senescence, receptor, nuclear
- GSE296768 Plaque-induced transcriptional reprogramming of microglia towards lymphoid receptor expression protects against Alzheimer's disease [scRNA-seq] 12 samples shares reprogramming, receptor
- GSE254077 Effect of depletion of NR4A3 on vascular calcification [RNA-seq] 12 samples shares nr4a3
- GSE268822 Transcriptional landscapes underlying Notch-induced lineage conversion and reprogramming of mammary cells 840 samples shares reprogramming
- GSE302857 Multi-tier signaling and epigenomic reprogramming drive microglial inflammatory states and functions associated with demyelination [RNA-seq] 81 samples shares reprogramming
- GSE242709 Global transcriptional profiles of primary and secondary cellular senescence in vivo by oncogene-induced senescence (OIS) and stress-induced senescence (SIS) 76 samples shares senescence
- GSE301216 Distinct lung functional, histological and cell senescence signatures in the single vs repetitive bleomycin mouse model of idiopathic pulmonary fibrosis 53 samples shares senescence
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.