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Urolithin A attenuates inflammation and enhances barrier integrity in an experimental NEC-in-a-Dish model

GSE312490 Homo sapiens (human) RNA-seq (gene expression) 44 samples Submitted 2026/05/27 Platform GPL34281
At a glance

RNA-seq (gene expression) · human · 44 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
44 samples: 12 conditions, mostly with about 4 replicates eachGroups 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)
Necrotizing enterocolitis (NEC) is a devastating gastrointestinal disease in preterm infants, characterized by exaggerated inflammation and poorly understood pathogenesis. Aryl hydrocarbon receptor (AhR) signaling has been shown to reduce intestinal inflammation in colitis models. In these models, a microbial-derived AhR ligand, Urolithin A (UroA), has demonstrated anti-inflammatory properties and improved gut barrier function. We hypothesize that UroA attenuates inflammation and enhances epithelial barrier integrity in an in vitro NEC-in-a-Dish model.
This dataset
Open GSE312490 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 GSE312490_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 PRJNA1374058 and SRA study SRP651344. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
12 conditions, mostly with about 4 replicates each
Intestinal Tissue, WT No Treatment, Batch 1, ×4 Intestinal Tissue, WT DMSO, Batch 1, ×4 Intestinal Tissue, WT UroA, Batch 1, ×4 Intestinal Tissue, NEC No Treatment, Batch 1, ×4 Intestinal Tissue, WT No Treatment, Batch 2, ×4 Intestinal Tissue, WT UroA, Batch 2, ×4 Intestinal Tissue, NEC DMSO, Batch 2, ×4 Intestinal Tissue, NEC UroA, Batch 2, ×4 +4 more

Supports a between-group comparison across 44 samples.

How we read this: 12 replicated groups read from 44 sample titles; they account for 44 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

+ 4 more — browse all 44 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.