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Tauroursodeoxycholic Acid (TUDCA) Reduces ER Stress and Lessens Disease Activity in Ulcerative Colitis

GSE266963 Homo sapiens (human) RNA-seq (gene expression) 38 samples Submitted 2025/05/30 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 38 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
38 samples: 38 samples, each with a distinct title — no replicated groupsGroups 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)
Background and Aims: In inflammatory bowel disease, protein misfolding in the endoplasmic reticulum (ER) potentiates epithelial barrier dysfunction and impairs mucosal healing. Tauroursodeoxycholic acid (TUDCA), a naturally occurring bile acid, acts as a chemical chaperone to reduce protein aggregation and colitis severity in preclinical models.
Read the full summary ↓
We conducted an open label trial evaluating oral TUDCA as therapy in patients with active ulcerative colitis (UC). Methods: Patients with moderate-to-severely active UC (Mayo score ≥6, endoscopic subscore ≥1) received oral TUDCA at 1.75 or 2 g/day for 6 weeks. Exclusion criteria included known hepatic disorders or change in UC therapy within 60 days. Clinical disease activity questionnaires, endoscopy with biopsy, blood, and stool were collected at enrollment and after 6 weeks. The primary outcome measure was change in ER stress markers while safety, tolerability and change in UC disease activity were secondary outcomes. Results: Thirteen participants completed the study with eleven evaluable for clinical response. TUDCA was well-tolerated with transient dyspepsia being the most common side effect. Mucosal biopsies revealed significant reductions in ER stress and inflammation as well as an increase in markers of epithelial restitution. Clinical, endoscopic, and histologic disease activity were significantly improved at week 6 (mean total Mayo Score: 9 to 4.5, p<0.001). Conclusions: Six weeks of oral TUDCA promoted mucosal healing, lessened ER stress, and reduced UC clinical disease activity. TUDCA was safe and well-tolerated in patients with active UC. A randomized controlled trial of adjunctive TUDCA therapy in patients with UC is warranted. ClinicalTrials.gov (NCT04114292).
This dataset
Open GSE266963 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 GSE266963_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 PRJNA1108804 and SRA study SRP506289. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
38 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 38 sample titles: 38 distinct titles with little repetition. 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.