← BioTransfer GEO Dataset Finder
GEO series

Human GPR15 deficiency reveals CD8+ T regulatory cell-macrophage crosstalk in intestinal inflammation

GSE314446 Homo sapiens (human) Single-cell RNA-seq 16 samples Submitted 2026/05/05 Platform GPL28330Platform GPL34284
At a glance

Single-cell RNA-seq · human · 16 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
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.
Summary (written by the submitters)
We employed a CITE-seq combined with single-cell sequencing approach using 10x Genomics scRNA-seq to analyze peripheral and intestinal lymphocytes from Gpr15⁻/⁻ mice and from patients carrying deleterious GPR15 mutations. We show that GPR15, a G protein–coupled receptor (GPCR) expressed in immune cells and previously described as an entry co-factor for human and simian immunodeficiency viruses, serves as a crucial marker and homing receptor for a unique subset of intramucosal GPR15-guided regulatory CD8⁺ T lymphocytes (CD8⁺ TIGR cells).
Read the full summary ↓
Our results demonstrate that deleterious GPR15 variants in humans impair the homing of CD8⁺ TIGR cells, leading to severe early-onset inflammatory bowel disease (IBD). In mice, GPR15 deficiency disrupts the colonic recruitment of CD8⁺ TIGR cells, causing an accumulation of inflammatory macrophages and heightened susceptibility to colitis. Together, our findings identify CD8⁺ TIGR cells as a previously unrecognized component of organ-specific immune regulation and reveal potential therapeutic avenues for the treatment of IBD.
This dataset
Open GSE314446 in finder → Find more RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE314446_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1391336 and SRA study SRP656701. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
16 samples, each with a distinct title — no replicated groups

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.

Samples in this study
Datasets on a similar topic

Search all RNA-seq datasets in GEO →

Share this dataset

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.