Longitudinal scRNA-seq of murine Il10KO colitis
Single-cell RNA-seq · mouse · 24 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
- 24 samples: 24 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
- Spatiotemporal analysis reveals distinct inflammatory programs underlying chronic colitisImmunity · 2026
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 GSE255423_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 PRJNA1074838 and SRA study SRP489066. 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 24 sample titles: 24 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.
- GSM8072282 Colon, WT W6, Epithelial fraction, gene expression
- GSM8072283 Colon, WT W6, Immune fraction, gene expression
- GSM8072284 Colon, WT W6, Stromal fraction, gene expression
- GSM8072285 Colon, Il10KO W6, Epithelial fraction, gene expression
- GSM8072286 Colon, Il10KO W6, Immune fraction, gene expression
- GSM8072287 Colon, Il10KO W6, Stromal fraction, gene expression
- GSM8072288 Colon, Il10KO W8, Epithelial fraction, gene expression
- GSM8072289 Colon, Il10KO W8, Immune fraction, gene expression
- GSM8072290 Colon, Il10KO W8, Stromal fraction, gene expression
- GSM8072291 Colon, Il10KO W10, Epithelial fraction, gene expression
- GSM8072292 Colon, Il10KO W10, Immune fraction, gene expression
- GSM8072293 Colon, Il10KO W10, Stromal fraction, gene expression
- GSM8072294 Colon, Il10KO W12, Epithelial fraction, gene expression
- GSM8072295 Colon, Il10KO W12, Immune fraction, gene expression
- GSM8072296 Colon, Il10KO W12, Stromal fraction, gene expression
- GSM8072297 Colon, Il10KO W14, Epithelial fraction, gene expression
- GSM8072298 Colon, Il10KO W14, Immune fraction, gene expression
- GSM8072299 Colon, Il10KO W14, Stromal fraction, gene expression
- GSM8072300 Colon, WT W6, Immune fraction, antibody capture
- GSM8072301 Colon, Il10KO W6, Immune fraction, antibody capture
- GSM8072302 Colon, Il10KO W8, Immune fraction, antibody capture
- GSM8072303 Colon, Il10KO W10, Immune fraction, antibody capture
- GSM8072304 Colon, Il10KO W12, Immune fraction, antibody capture
- GSM8072305 Colon, Il10KO W14, Immune fraction, antibody capture
- GSE236889 Longitudinal scRNA-seq of murine T cell transfer colitis 64 samples shares longitudinal, scrna-seq, colitis
- GSE236385 Longitudinal bulk RNA-seq of murine T cell transfer colitis 62 samples shares longitudinal, colitis
- GSE241770 ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq) 7899 samples shares scrna-seq
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares scrna-seq
- GSE271100 Stem cells tightly regulate dead cell clearance to maintain tissue fitness [scRNA-seq] 1037 samples shares scrna-seq
- GSE326100 scRNA-seq of mouse cochlea organoid cells 768 samples shares scrna-seq
- GSE265909 yHSC and oHSC scRNAseq with oHSC AThi ATlo Index Sorting. Assessing the transcriptional changes associated with autophagy engagement in old hematopoietic stem cells at single cell resolution. [scRNA-Seq] 563 samples shares scrna-seq
- GSE217662 Decoding Trp53 regulatory program with knockout cell transcriptomic landscape analyses [scRNA-seq] 247 samples shares 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.