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Air-liquid_interface_Caco-2_culture_with_vasointestinal_peptide_ mimicks_ gut_ mucosal_ barrier_ function_ in_ permeability_ and_bacterial infection

GSE283451 Homo sapiens (human) RNA-seq (gene expression) 17 samples Submitted 2024/12/04 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 17 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
17 samples
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
Development of a Caco-2-based intestinal mucosal model to study intestinal barrier properties and bacteria-mucus interactionsGut microbes · 2025
Summary (written by the submitters)
The intestinal mucosal barrier is a dynamic system that allows nutrient uptake, stimulates healthy microbe-host interactions, and prevents invasion by pathogens. The mucosa consists of epithelial cells connected by cellular junctions that regulate the passage of nutrients covered by a mucus layer that plays an important role in host-microbiome interactions.
Read the full summary ↓
Mimicking the intestinal mucosa for in vitro assays, in particular the generation of a viscous mucus layer, has proven to be challenging. Here, we present a novel in vitro intestinal culture model that produces a robust mucus layer and is based on the widely used intestinal Caco-2 cell line. We investigated the effects of air-liquid interface (ALI) culturing compared to liquid-liquid interface (LLI) on Caco-2 cells grown under low-glucose conditions in Transwell plates. In addition, we determined the impact of vasointestinal peptide (VIP) on mucus secretion, epithelial barrier properties and microbe-mucus interactions. A combination of ALI culturing with VIP addition led to formation of a robust mucus layer on the apical surface of the Caco-2 confluent layer in which the intestinal secreted mucin MUC2 was a major component. RNAseq analysis demonstrated upregulation of unique gene clusters in response to ALI and VIP conditions, but the ALI-VIP combination treatment resulted in a significant upregulation of multiple mucin genes and proteins including MUC2, MUC13 and MUC17. Expression of tight junction proteins was significantly altered in the ALI-VIP condition leading to increased permeability to small molecules, more closely reflecting an intestinal epithelium permissive for nutrient uptake. In infection experiments with commensal Lactobacillus plantarum, pathogenic Salmonella enterica serovar Enteritidis, or enterotoxigenic Escherichia coli (ETEC), the ALI-VIP mucus layer separated the bacteria from the underlying epithelium. In conclusion, ALI-VIP culture of Caco-2 cells provides an attractive in vitro model to study the function of the intestinal mucosal barrier and pathogenic and commensal microbe-host interactions.
Published in
Development of a Caco-2-based intestinal mucosal model to study intestinal barrier properties and bacteria-mucus interactions
Floor E, Su J, Chatterjee M et al. · Gut microbes 2025 · PMID 39714032 · doi:10.1080/19490976.2024.2434685
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 GSE283451_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 PRJNA1076117 and SRA study SRP489490. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 17 more — browse all 17 samples with per-sample file links →

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