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Granzyme K CD8⁺ T cells with tissue-resident features promote intestinal inflammation in patients with Crohn’s disease

GSE289496 Homo sapiens (human) RNA-seq (gene expression) 45 samples Submitted 2026/07/01 Platform GPL33762Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 45 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Samples
45 samples: 14 × Lamina propria, Uninflamed small intestine, Crohn's disease, biol vs 14 × Submucosa, Uninflamed small intestine, Crohn's disease, biol vs 8 × Blood, Crohn's disease, biol vs 6 × Inflamed small intestine, Crohn's disease, biolGroups 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
Granzyme K CD8⁺ T cells with tissue-resident features promote intestinal inflammation in patients with Crohn's diseaseExperimental & molecular medicine · 2026
Summary (written by the submitters)
The role of CD8+ T cells in Crohn's disease (CD) pathogenesis remains incompletely understood. This study aimed to characterize CD8+ T cells in CD and elucidate their potential contribution to intestinal inflammation.
Published in
Granzyme K CD8⁺ T cells with tissue-resident features promote intestinal inflammation in patients with Crohn's disease
Lee Y, Kim TY, Kim Y et al. · Experimental & molecular medicine 2026 · PMID 42409960 · doi:10.1038/s12276-026-01763-7
This dataset
Open GSE289496 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 GSE289496_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1223311. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42409960) ↗
Study design
14 × Lamina propria, Uninflamed small intestine, Crohn's disease, biol vs 14 × Submucosa, Uninflamed small intestine, Crohn's disease, biol vs 8 × Blood, Crohn's disease, biol vs 6 × Inflamed small intestine, Crohn's disease, biol

Supports a between-group comparison across 42 samples.

How we read this: 4 replicated groups read from 45 sample titles; they account for 42 of them. 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

+ 5 more — browse all 45 samples with per-sample file links →

Datasets on a similar topic

Search all human 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.