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Systemic reprogramming of monocytes in Crohn’s disease promotes their intestinal inflammatory function

GSE268626 Homo sapiens (human) Single-cell RNA-seq 20 samples Submitted 2026/07/23 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 20 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
20 samples: 8 × Peripheral_Monocytes_HC vs 6 × Peripheral_Monocytes_CD vs 6 × Peripheral_Monocytes_UCGroups 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)
Dysfunctional intestinal monocyte-derived macrophages contribute to pathology in Inflammatory Bowel Disease (IBD). Signals from the tissue micro-environment contribute to this dysfunction, however growing evidence suggests that monocytes can be primed for inflammatory function prior to tissue recruitment.
Read the full summary ↓
Here we use single cell RNA sequencing (scRNA-seq) to define blood monocyte heterogeneity in a cohort of newly diagnosed, treatment naive Crohn’s disease and Ulcerative Colitis patients and healthy controls, and to establish the scope of of IBD-associated transcriptional changes in monocyte populations prior to arrival in the intestine.
This dataset
Open GSE268626 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 GSE268626_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 PRJNA1117930 and SRA study SRP510684. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 × Peripheral_Monocytes_HC vs 6 × Peripheral_Monocytes_CD vs 6 × Peripheral_Monocytes_UC

Supports a between-group comparison across 20 samples.

How we read this: 3 replicated groups read from 20 sample titles; they account for 20 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
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.