Myeloid Piezo1 Drives Cardiac Repair Through Orai1–Rac1-Dependent Efferocytosis
Single-cell RNA-seq · mouse · 10 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
- 10 samples: 5 × KO vs 5 × WTGroups 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.
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 GSE319694_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 PRJNA1424966 and SRA study SRP677768. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM9523842 KO1 KO
- GSM9523843 KO2 KO
- GSM9523844 KO3 KO
- GSM9523845 KO4 KO
- GSM9523846 KO5 KO
- GSM9523847 WT1 WT
- GSM9523848 WT2 WT
- GSM9523849 WT3 WT
- GSM9523850 WT4 WT
- GSM9523851 WT5 WT
- GSE230042 Cardiac Piezo1 Exacerbates Lethal Ventricular Arrhythmogenesis by Linking Mechanical Stress with Ca2+ Handling After Myocardial Infarction 8 samples shares piezo1, cardiac
- GSE311976 Piezo1 Knockdown Activates PI3K/AKT and Enhances SPP1 to Drive M2 Macrophage Polarization and Reduce Cardiac Inflammation 6 samples shares piezo1, cardiac
- GSE261530 Myeloid EGFR deficiency accelerates recovery from Aki via macrophage efferocytosis and neutrophil apoptosis 4 samples shares efferocytosis, myeloid
- GSE300915 Efferocytosis-induced metabolic shift in bone macrophages drives lactate production and modulates inflammation and osteoclastogenesis 2 samples shares efferocytosis, drives
- GSE297515 Piezo1-dependent activation of stromal cells ignites muscle inflammation in exercise and injury and is associated with inflammaging 90 samples shares piezo1
- GSE310141 Microglial reactivity and neuroinflammation-driven in motivational behaviors are regulated by Orai1 channels 67 samples shares orai1
- GSE244524 ORAI1 inhibition as an efficient preclinical therapy for tubular aggregate myopathy and Stormorken syndrome 32 samples shares orai1
- GSE297134 PIEZO1 mediates mechanical reprogramming of neutrophils for proangiogenic specialization in the lung 23 samples shares piezo1
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.