IRF3 and type I interferons fuel a fatal response to myocardial infarction [bulk RNA-Seq]
Single-cell RNA-seq · mouse · 6 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
- 6 samples
- 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 GSE106471_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 PRJNA417168 and SRA study SRP124082. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 6 more — browse all 6 samples with per-sample file links →
- GSE252027 Temporal co-regulation of microRNA arms among cell types after myocardial infarction [RNA-Seq] 96 samples shares myocardial, infarction, rna-seq, type
- GSE306097 Distinct immunometabolic signatures of type 1 versus type 2 diabetes in a murine model of myocardial infarction 55 samples shares myocardial, infarction, type
- GSE282766 VEGFA Stop-gained Variant Deteriorates Cardiac Remodeling in Myocardial Infarction [RNA-seq] 43 samples shares myocardial, infarction, rna-seq
- GSE267256 Bulk RNA-seq analysis reveals the crucial role of Collagen triplex helix repeat containing-1 (Cthrc1) cardiac fibroblasts for ventricular remodeling after myocardial infarction 17 samples shares myocardial, infarction, rna-seq
- GSE291962 CCR8 expression on regulatory T cells reveals trajectories of tissue adaptation and protects against myocardial infarction [bulk RNA-seq] 16 samples shares myocardial, infarction, rna-seq
- GSE246524 In Vivo Direct Reprogramming by AAV Improves Cardiac Function after Myocardial Infarction. [RNA-seq] 10 samples shares myocardial, infarction, rna-seq
- GSE276317 Sleep fragmentation aggravates myocardial infarction through promoting type I interferon-mediated SiglecFhi neutrophil expansion 6 samples shares myocardial, infarction, type
- GSE261428 Single cell RNA-seq analysis reveals the crucial role of Collagen triplex helix repeat containing-1 (Cthrc1) cardiac fibroblasts for ventricular remodeling after myocardial infarction 2 samples shares myocardial, infarction, 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.