Single-cell multiomics uncovers an endothelial mechanosensitive PIEZO1-IL-33 axis driving pulmonary fibrosis
Single-cell RNA-seq · mouse · 18 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
- 18 samples: 18 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
- Single-cell multiomics uncovers an endothelial mechanosensitive PIEZO1-IL-33 axis driving pulmonary fibrosisNature communications · 2026
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 GSE314943_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 PRJNA1393397 and SRA study SRP657947. 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 18 sample titles: 18 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.
- GSM9473144 Mouse, Lung, Saline_1, scRNA
- GSM9529135 Mouse, Lung, Saline_2, scRNA
- GSM9529136 Mouse, Lung, Saline_3, scRNA
- GSM9529137 Mouse, Lung, Bleomycin_1, scRNA
- GSM9529138 Mouse, Lung, Bleomycin_2, scRNA
- GSM9529139 Mouse, Lung, Bleomycin_3, scRNA
- GSM9529140 Mouse, Lung, Silica_1, scRNA
- GSM9529141 Mouse, Lung, Silica_2, scRNA
- GSM9529142 Mouse, Lung, Silica_3, scRNA
- GSM9626839 Mouse, Lung, Bleomycin_2, scATAC
- GSM9626840 Mouse, Lung, Bleomycin_3, scATAC
- GSM9626841 Mouse, Lung, Saline_2, scATAC
- GSM9626842 Mouse, Lung, Saline_3, scATAC
- GSM9626843 Mouse, Lung, Silica_1, scATAC
- GSM9626844 Mouse, Lung, Silica_2, scATAC
- GSM9626845 Mouse, Lung, Silica_3, scATAC
- GSM9640637 Mouse, Lung, Bleomycin_1, scATAC
- GSM9640638 Mouse, Lung, Saline_1, scATAC
- GSE309471 Single-cell RNA sequencing of lung cells from bleomycin-induced and doxycycline-inducible TGF-β transgenic mouse models of pulmonary fibrosis 46 samples shares single-cell, pulmonary, fibrosis
- GSE192687 Single-cell RNAseq analysis of renal endothelial cells in murine diabetic nephropathy 5464 samples shares single-cell, endothelial
- GSE294772 Single-Cell Epigenomics Uncovers Heterochromatin Instability and Transcription Factor Dysfunction during Mouse Brain Aging [snATAC-Seq] [10X Multiome] 142 samples shares single-cell, uncovers
- GSE239602 Single-cell and spatial transcriptomics uncovers the role of senescent vascular cells in pathological arterial remodeling during murine atherosclerosis 82 samples shares single-cell, uncovers
- GSE264278 TIme-cource single-cell RNA-seq analysis of bleomycin and LPS-induced lung injury and fibrosis 18 samples shares single-cell, fibrosis
- GSE249931 Temporal single-cell profiling of distinct mesenchymal, epithelial, endothelial, and immune cell lineages in the lung after injury 17 samples shares single-cell, endothelial
- GSE274819 Single-cell RNA sequencing of murine kidneys for ischemia-reperfusion induced renal injury and fibrosis 10 samples shares single-cell, fibrosis
- GSE295293 Single-cell fixed RNAseq of liver fibrosis progression and regression 9 samples shares single-cell, fibrosis
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.