Mechanosensing by endothelial Piezo1 promotes liver regeneration after partial hepatectomy via ATF2-ID1-Wnt2 pathway
RNA-seq (gene expression) · mouse · 16 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 16 samples: 16 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.
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 GSE298695_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1270968 and SRA study SRP590217. 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 16 sample titles: 16 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.
- GSM9034125 KOH1 70%ph
- GSM9034126 KOH2 70%ph
- GSM9034127 KOH3 70%ph
- GSM9034128 KOH4 70%ph
- GSM9034129 FLOXH1 70%ph
- GSM9034130 FLOXH2 70%ph
- GSM9034131 FLOXH3 70%ph
- GSM9034132 FLOXH4 70%ph
- GSM9034133 KOL1 70%ph
- GSM9034134 KOL2 70%ph
- GSM9034135 KOL3 70%ph
- GSM9034136 KOL4 70%ph
- GSM9034137 FLOXL1 70%ph
- GSM9034138 FLOXL2 70%ph
- GSM9034139 FLOXL3 70%ph
- GSM9034140 FLOXL4 70%ph
- GSE301448 Epigenetic Reactivation of CNS Endothelial Developmental Programs Triggers Adult Brain Angiogenesis, Promotes Post-Stroke Revascularization and Neuroregeneration [RNAseq-Stroke] 18 samples shares regeneration, endothelial, promotes
- GSE233516 DNA dioxygenase Tet2 regulates liver regeneration after partial hepatectomy. 18 samples shares regeneration, hepatectomy, partial
- GSE108449 Altas of gene expression in mice liver during liver regeneration process post 2/3 partial hepatectomy using RNA-seq 18 samples shares regeneration, hepatectomy, partial
- GSE301293 Epigenetic Reactivation of CNS Endothelial Developmental Programs Triggers Adult Brain Angiogenesis, Promotes Post-Stroke Revascularization and Neuroregeneration. 12 samples shares regeneration, endothelial, promotes
- GSE283887 Piezo1 promotes the progression of necrotizing enterocolitis via activating Ca2(+)/CaMKII-dependent pathway 12 samples shares piezo1, promotes
- GSE314943 Single-cell multiomics uncovers an endothelial mechanosensitive PIEZO1-IL-33 axis driving pulmonary fibrosis 18 samples shares piezo1, endothelial
- GSE269634 Triggering AHR resolves TGF-β1 induced fibroblast activation and promotes AT1 cell regeneration in alveolar organoids 32 samples shares regeneration, promotes
- GSE317252 Enhanced mitophagy promotes lung repair and regeneration by restoring epithelial metabolic fitness [RNA-Seq] 16 samples shares regeneration, promotes
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.