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Limosilactobacillus reuteri-derived exopolysaccharides facilitate the repair of intestinal epithelium barrier compromised by chemotherapy exposure

GSE288972 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2026/04/17 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 15 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
15 samples: 15 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)
A majority of patients undergoing chemotherapy treatment develop side effects that delay further cancer treatment. Antimetabolites, like 5 Fluorouracil (5 FU), are known to induce gut and oral inflammation, highlighting the importance of chemotherapy toxicity management. Here, we aimed to study whether probiotic bacterium Limosilactobacillus reuteri DSM 17938 (LR)-secreted components, including cell-free supernatant (CFS), exopolysaccharides (EPS), and extracellular membrane vesicles (MV), can improve gut barrier integrity following 5 FU exposure.
Read the full summary ↓
Collectively, 5 FU altered the viability, metabolic activity, barrier integrity, and functional response of Caco-2 cells. EPS stimulation after 5 FU removal significantly improved the integrity and permeability of intestinal barrier through modulation of the transcriptional program associated with extracellular matrix and structure organization. Further, we found that CFS, MV and EPS differentially influenced monocyte polarization pathways, when monocytes were cultured with the supernatant from 5 FU exposed Caco-2 cells. Together, our findings suggest that the incorporation of bacterial metabolites, such as EPS, during chemotherapy could accelerate intestinal barrier recovery without suppressing the immune system, potentially allowing for a more effective scheduling of therapy in cancer patients.
This dataset
Open GSE288972 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 GSE288972_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 PRJNA1220137 and SRA study SRP562044. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
15 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 15 sample titles: 15 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.