Egr1 is a master regulator of regenerative senescence and cardiac repair
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: 2 × Egr1_KO_Agrin vs 2 × Egr1_WT_Agrin vs 2 × Egr1 WT_PBS vs 2 × Egr1 KO_PBSGroups 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.
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 GSE255181_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 PRJNA1073899 and SRA study SRP488489. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 8 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 8 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.
- GSM8065568 Egr1_KO_Agrin_1 Egr1_KO_Agrin
- GSM8065569 Egr1_WT_PBS
- GSM8065570 Egr1_KO_Agrin_2 Egr1_KO_Agrin
- GSM8065571 Egr1_KO_PBS
- GSM8065572 Egr1_WT_Agrin_1 Egr1_WT_Agrin
- GSM8065573 Egr1_WT_Agrin_2 Egr1_WT_Agrin
- GSM8065574 Egr1 WT_Agrin
- GSM8065575 Egr1 WT_PBS_1 Egr1 WT_PBS
- GSM8065576 Egr1 WT_PBS_2 Egr1 WT_PBS
- GSM8065577 Egr1 KO_PBS_1 Egr1 KO_PBS
- GSM8065578 Egr1 KO_PBS_2 Egr1 KO_PBS
- GSM8065579 Egr1 KO_Agrin
- GSE249978 Egr1 is a sex-specific regulator of neuronal chromatin, synaptic plasticity, and behaviour 52 samples shares egr1, regulator
- GSE287839 Gas6-Axl signaling drives oral regenerative wound repair [bulk RNA] 23 samples shares regenerative, repair
- GSE277998 Multi-omic analysis reveals retinoic acid molecular drivers for fibrosis and regenerative repair in skin fibrosis 11 samples shares regenerative, repair
- GSE287528 Gas6-Axl signaling drives oral regenerative wound repair [scRNA-seq] 10 samples shares regenerative, repair
- GSE267452 Loss of Nuclear Receptor Nr4a3 Alleviates Cellular Senescence to Promote Adult Direct Cardiac Reprogramming 54 samples shares senescence, cardiac
- GSE304622 KDM8 is a master regulator for hypoxia-induced metastatic heterogeneity in pancreatic cancer 43 samples shares regulator, master
- GSE292261 A dynamic gene regulatory code drives synaptic development of hippocampal granule cells [SS2] 576 samples shares regulator
- GSE290574 Gene Regulatory Networks Orchestrating Oocyte Fate Bifurcation in Primordial Follicles Revealed by Single-Cell Transcriptomics 386 samples shares regulator
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.