← BioTransfer GEO Dataset Finder
GEO series

Epithelial relay of microbial signals coordinates intestinal macrophage supported barrier repair

GSE261040 Homo sapiens (human) RNA-seq (gene expression) 48 samples Submitted 2024/03/11 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 48 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
48 samples: 18 conditions, mostly in duplicateGroups 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
Intestinal epithelial TLR5 signaling promotes barrier-supportive macrophagesScience immunology · 2026
Summary (written by the submitters)
The gastrointestinal tract is colonized by trillions of microorganisms collectively known as the gut microbiota. These microbes provide essential signals to support healthy gut function. The microbiota is separated from internal tissue by a single layer of intestinal epithelial cells that not only provides a physical barrier but also relays luminal signals to underlying gut immune cells.
Read the full summary ↓
Altered microbiota composition including loss of anti-inflammatory microbes or outgrowth of mucosa-associated bacteria such as adherent-invasive E. coli (AIEC) are hallmarks of inflammatory disease including inflammatory bowel disease (IBD). In contrast to their hypothesized role in pathology, we recently identified select AIEC isolates that improve outcomes in mouse colitis models. These AIEC induce macrophage production of the anti-inflammatory cytokine IL-10 which limits gut inflammation and supports barrier repair. These benefits were lost if the AIEC was unable to attach to epithelial cells. However, the epithelial signaling underlying this protection remained unclear. To understand if intestinal epithelial cells signaled to immune cells after microbial attachment, we utilized human colonic organoid monolayers and found co-culture with a subset of AIEC isolates upregulated immune regulatory genes including CCL2, a macrophage recruiting chemokine. This effect was only observed in undifferenced epithelial cells, indicating epithelial stem cell recognition of microbes leads to macrophage recruitment. In vivo, antibody blockade of CCR2 abrogated the protective effect of AIEC colonization. Using bacterial transcriptome analysis, we identified high flagellin expression in AIEC isolates that activated epithelial signaling, with lost signaling in organoids deficient for TLR5, the receptor for flagellin. Together our findings suggest intestinal epithelial cells recognize microbial signals to coordinate macrophage recruitment that support intestinal repair, protecting from colitis.
Published in
Intestinal epithelial TLR5 signaling promotes barrier-supportive macrophages
Tsai MT, Callaghan R, Ng C et al. · Science immunology 2026 · PMID 41544147 · doi:10.1126/sciimmunol.adr4057
This dataset
Open GSE261040 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 GSE261040_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 PRJNA1084862 and SRA study SRP493730. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41544147) ↗
Study design
18 conditions, mostly in duplicate
ASC161UD, T75, ×5 ASC161UD, 541-15, ×5 ASC103UD, NT, ×3 RC162UD, NT, ×3 ASC103UD, T75, ×3 RC162UD, T75, ×3 ASC103UD, 541-15, ×3 RC162UD, 541-15, ×3 +10 more

Supports a between-group comparison across 48 samples.

How we read this: 18 replicated groups read from 48 sample titles; they account for 48 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

+ 8 more — browse all 48 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.