TL1A-activated Tcells as upstream regulators of perianal fistulizing disease-associated changes in the rectum of Crohn's Disease patients.
Single-cell RNA-seq · human · 2 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 2 samples: 2 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
- TL1A-activated T cells remodel the rectal mucosa in patients with Crohn's disease with perianal fistulising diseaseGut · 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 GSE291125_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 PRJNA1232049 and SRA study SRP568049. 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 2 sample titles: 2 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.
- GSM8829438 PFD-006-T0-N
- GSM8829439 PFD-008-T0-N
- GSE290220 TL1A-activated Tcells as upstream regulators of perianal fistulizing disease-associated changes in the rectum of Crohn's Disease patients [scRNA-seq] 29 samples shares disease-associated, tl1a-activated, fistulizing, regulators, upstream, perianal, changes, tcells
- GSE291014 TL1A-activated Tcells as upstream regulators of perianal fistulizing disease-associated changes in the rectum of Crohn's Disease patients [RNA-seq] 28 samples shares disease-associated, tl1a-activated, fistulizing, regulators, upstream, perianal, changes, tcells
- GSE256497 COMPARATIVE SINGLE CELL PROFILING OF MUCOSA AND ORGANOIDS IMPLICATES ALTERED EPITHELIAL-MESENCHYMAL INTERACTIONS MEDIATED BY PTGER4 IN PERIANAL FISTULIZING CROHN’S DISEASE 44 samples shares fistulizing, perianal
- GSE293514 Development of a split-toxin CRISPR screening platform to systematically identify upstream regulators of human myoblast fusion 57 samples shares regulators, upstream
- GSE277387 Single-Cell and Spatial Multi-omics Reveal Interferon Signaling in the Pathogenesis of Perianal Fistulizing Crohn’s Disease 21 samples shares fistulizing, perianal
- GSE52529 Pseudo-temporal ordering of individual cells reveals regulators of differentiation 384 samples shares regulators
- GSE300841 Deciphering the functional impact of Alzheimer’s Disease-associated variants in resting and proinflammatory immune cells [crispr] 116 samples shares disease-associated
- GSE290248 Large-scale tethered screen of RNA-binding proteins reveals novel regulators of poly(A) site selection 97 samples shares regulators
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.