← BioTransfer GEO Dataset Finder
GEO series

DISTINCTIVE MOLECULAR SIGNATURE AND STRUCTURAL ALTERATIONS OF THE COLONIC BRUSH BORDER IN MICROSCOPIC COLITIS

GSE282696 Homo sapiens (human) RNA-seq (gene expression) 48 samples Submitted 2026/01/14 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: 27 × CMGroups 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
Integrated Multi-Omic Analysis Identifies Altered Colonic Brush Border Profile as a Key Feature of Microscopic ColitisUnited European gastroenterology journal · 2026
Summary (written by the submitters)
BACKGROUND: Collagenous colitis (CC) and lymphocytic colitis (LC) are chronic inflammatory diseases of the colon of unknown etiology. We aimed to explore the underlying mechanisms of the colonic barrier dysfunction in MC by analysing the molecular pathways involved in the colonic epithelial brush border. METHODS: We obtained colonic biopsies from CC and LC patients and from healthy controls (H) and irritable bowel syndrome with predominance of diarrhea (IBS-D) patients, as control groups.
Read the full summary ↓
Transcriptomic and proteomic analysis by RNA-seq and liquid chromatography mass spectrometry, respectively, and an ultrastructural assessment or the epithelium by electron microscopy were performed. The impact of budesonide therapy on the epithelial structure was also evaluated in samples from CC patients Integrated clinical and biological data analysis was performed using R. FINDINGS: A paired-omic analysis focused on the brush border identified a reduced expression of the inter-microvilli adhesion complex and the actin-bundling proteins in parallel to an increased expression of the actin-membrane connection of microvilli in MC patients compared to control groups. Moreover, colonic microvilli were shorter in length and reduced in number in CC and LC respect to controls. Treatment with oral budesonide partially recovered the ultrastructural alterations in parallel to clinical improvement. INTERPRETATION: Differentiated molecular and structural dysregulation of the colonic brush border features the colonic epithelium in MC. Given the fundamental role of the brush border in maintaining homeostasis, these previously undescribed findings open new perspectives to further define MC etiopathogenesis and the search of targeted therapies.
Published in
Integrated Multi-Omic Analysis Identifies Altered Colonic Brush Border Profile as a Key Feature of Microscopic Colitis
Guagnozzi D, Gonzalez-Castro AM, Zabana Y et al. · United European gastroenterology journal 2026 · PMID 41442229 · doi:10.1002/ueg2.70156
This dataset
Open GSE282696 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 GSE282696_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 PRJNA1189813 and SRA study SRP547160. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41442229) ↗
Study design
27 × CM

Supports a between-group comparison across 27 samples.

How we read this: 1 replicated groups read from 48 sample titles; they account for 27 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.