The interleukin 22–oncostatin M axis promotes intestinal inflammation and tumorigenesis [scRNA-seq]
Single-cell RNA-seq · mouse · 12 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
- 12 samples: 12 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
- The IL-22-oncostatin M axis promotes intestinal inflammation and tumorigenesisNature immunology · 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 GSE269507_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 PRJNA1122158 and SRA study SRP513024. 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 12 sample titles: 12 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.
- GSM8317779 Epcam Group 2 Transcripts
- GSM8317780 Epcam Group 2 Hashtags
- GSM8317781 Epcam Group 3 Transcripts
- GSM8317782 Epcam Group 3 Hashtags
- GSM8317783 Stroma Group 2 Transcripts
- GSM8317784 Stroma Group 2 Hashtags
- GSM8317785 Stroma Group 3 Transcripts
- GSM8317786 Stroma Group 3 Hashtags
- GSM8317787 LPMCs Group 2 Transcripts
- GSM8317788 LPMCs Group 2 Hashtags
- GSM8317789 LPMCs Group 3 Transcripts
- GSM8317790 LPMCs Group 3 Hashtags
- GSE271362 CGRP-Related Neuropeptide Adrenomedullin 2 Promotes Tissue-Protective ILC2 Responses and Limits Intestinal Inflammation 11 samples shares intestinal, promotes
- GSE296401 Interleukin-23 promotes a pro-inflammatory Th17 cell state by stabilizing RORγt and suppressing glucocorticoid receptor activity II 38 samples shares interleukin, promotes
- GSE289723 Interleukin-4 modulates type I interferon to augment anti-tumour immunity [scRNA-Seq] 36 samples shares interleukin, scrna-seq
- GSE277228 Changing dynamics of the fibroblast differentiation hierarchy during mammary gland morphogenesis and tumorigenesis [scRNA-Seq I] 13 samples shares tumorigenesis, scrna-seq
- GSE280084 A Multipotent PROX1+ Tumor Cell Population Emerges During Intestinal Tumorigenesis and Mediates Radioresistance in Colorectal Cancer 13 samples shares tumorigenesis, intestinal
- GSE299487 LY6D Identifies Persistent Tumor-Initiating Cells Driving Pancreatic Tumorigenesis [scRNA-seq] 12 samples shares tumorigenesis, scrna-seq
- GSE269888 Oncogenic KRAS-dependent stromal interleukin-33 directs the pancreatic microenvironment to promote tumor growth [scRNA-seq] 11 samples shares interleukin, scrna-seq
- GSE329635 Single-cell RNA sequencing of small intestinal organoid self-organization [scRNA-Seq] 10 samples shares intestinal, scrna-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.