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Faecalibacterium prausnitzii EXL01 for the Maintenance of Steroid-induced Clinical Response or Remission in Patients with Crohn’s Disease: a first in human trial

GSE327577 Homo sapiens (human) RNA-seq (gene expression) 43 samples Submitted 2026/04/14 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 43 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
43 samples: 43 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.
Paper
Faecalibacterium prausnitzii EXL01 for the Maintenance of Steroid-induced Clinical Response or Remission in Patients with Crohn's Disease: a first in human trialNature communications · 2026
Summary (written by the submitters)
A marked decrease in Faecalibacterium prausnitzii is a hallmark of Crohn’s disease (CD)-associated dysbiosis and predicts disease relapse. Here, we present the development and first-in-human evaluation of F. prausnitzii strain EXL01 for CD treatment. The EXL01-strain demonstrated anti-inflammatory effects in four models of colitis in rodents.
Read the full summary ↓
A first-in-human, open-label, single-arm study of oral EXL01 was conducted in eight adult participants with mild to moderate CD, following corticosteroids-induced clinical response or remission. The primary endpoint was safety, and secondary endpoints included clinical, endoscopic, histological, molecular, and microbiome assessments. EXL01 was well-tolerated with no treatment-related adverse events. Six participants completed the study; two discontinued treatment due to disease flare. While gut microbiota composition remained largely stable, transcriptomic analyses revealed distinct changes in ileal gene expression following EXL01 treatment, notably modulation of immune-related genes and upregulation of energy metabolism pathways. Compared to participants who remained in remission, those who flared showed higher baseline systemic inflammation markers and innate immunity gene expression. These findings demonstrate that oral administration of EXL01 is feasible and well tolerated, and establishes proof-of-concept for F. prausnitzii as a first-in-class live biotherapeutic for CD. ClinicalTrials.gov registration: NCT05542355.
Published in
Faecalibacterium prausnitzii EXL01 for the Maintenance of Steroid-induced Clinical Response or Remission in Patients with Crohn's Disease: a first in human trial
Guarino-Vignon P, Louis E, Pham HP et al. · Nature communications 2026 · PMID 42049742 · doi:10.1038/s41467-026-72375-y
This dataset
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.

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 GSE327577_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1451260 and SRA study SRP690663. Searching any of these in the dataset finder brings you back here.

Study design
43 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 43 sample titles: 43 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

+ 3 more — browse all 43 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.