Signaling basis of gastric epithelial cell differentiation revealed by human and mouse organoids [scRNA-Seq]
Single-cell RNA-seq · human · 11 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 11 samples: 9 distinct titles, 1 of them repeatedGroups 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
- The critical role of BMP signaling in gastric epithelial cell differentiation revealed by organoidsCell regeneration (London, England) · 2025
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 GSE226196_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 PRJNA939154 and SRA study SRP424844. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 11 sample titles: 9 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.
- GSM7067894 scRNA-seq-tissue-human corpus-1
- GSM7067895 scRNA-seq-tissue-human corpus-2
- GSM7067896 scRNA-seq-tissue-human corpus-3
- GSM7067897 scRNA-seq-organoids-human stomach-WT
- GSM7067898 scRNA-seq-organoids-human stomach-BI
- GSM7067899 scRNA-seq-organoids-human stomach-EB
- GSM7067900 scRNA-seq-organoids-human stomach-IX
- GSM7067901 scRNA-seq-organoids-mouse stomach-WT
- GSM7067902 scRNA-seq-organoids-mouse stomach-BI
- GSM7067903 scRNA-seq-organoids-mouse stomach-EB
- GSM7067904 scRNA-seq-organoids-mouse stomach-NRC
- GSE226195 Signaling basis of gastric epithelial cell differentiation revealed by human and mouse organoids [RNA-Seq] 26 samples shares epithelial, organoids, revealed, gastric, basis
- GSE266952 Inflammation awakens dormant cancer cells by modulating epithelial-mesenchymal phenotypic state [scRNA-Seq] 6 samples shares epithelial, scrna-seq
- GSE327614 Early cell autonomous and niche-mediated alveolar epithelial response to influenza infection in primary lung organoids 24 samples shares epithelial, organoids
- GSE25965 Transduction signaling signature of Wilms tumor revealed by parallel analysis of kidney differentiation 78 samples shares revealed
- GSE305923 exoWNT3A/RSPO1 improves HE to LPC differentiation, hepatic organoids growth, and different acute and chronic liver injuries. 72 samples shares organoids
- GSE227075 Pro-inflammatory macrophages impair skeletal muscle regeneration in ischemic-damaged limbs by inducing precocious differentiation of satellite cells [scRNA-seq] 22 samples shares scrna-seq
- GSE261159 Gene expression dynamics of branching morphogenesis in pancreatic cancer organoids (2) 181 samples shares organoids
- GSE276386 Epithelial Cell Membrane Perforation Induces Allergic Airway Inflammation 99 samples shares epithelial
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.