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GZMK-expressing tissue-resident memory CD8+ T cells mediate human intestinal acute graft-versus-host disease

GSE284015 Homo sapiens (human) Single-cell RNA-seq 26 samples Submitted 2026/05/06 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 26 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
26 samples: 26 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)
Tissue-resident memory T cells (TRM) have recently emerged as crucial cellular players for murine acute graft-versus-host disease (aGVHD) development. However, the role of distinct subsets of CD8+TRM cells in human intestinal aGVHD is not well known yet. Herein,we combined multiplex immunohistochemical staining with single-cell RNA sequencing to elucidate the differentiation trajectory, lineage commitment, clonal expansion and functional properties of distinct CD8+TRM cell subsets in human intestinal aGVHD.
Read the full summary ↓
We revealed seven functionally distinct CD8+TRM subsets and innovatively uncovered a significant GZMK+CD8+TRM subset. GZMK+CD8+TRM subset mediated human intestinal aGVHD by exhibiting enhanced clonal expansion, IFN signaling pathway-associated proinflammatory, and lineage bifurcation differentiation properties. High GZMK+CD8+TRM subset infiltration is correlated with human intestinal aGVHD severity and poor prognosis. Therefore, we demonstrated that human intestinal aGVHD is in good part mediated by pivotal GZMK+CD8+TRM subset. Targeting key CD8+TRM cell subsets could be a new treatment approach in the human intestinal aGVHD.
This dataset
Open GSE284015 in finder → Find more human 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 GSE284015_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 PRJNA1196840 and SRA study SRP550791. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
26 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 26 sample titles: 26 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

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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.