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SARS-COV2 in intestinal organoids

GSE208684 Homo sapiens (human) RNA-seq (gene expression) 81 samples Submitted 2025/07/13 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 81 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
81 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.
Summary (written by the submitters)
Inflammatory bowel disease (IBD) patients are generally at an increased risk for viral diseases. Viral infections of tissue affected by chronic IBD are insufficiently understood, especially in the context of flare-ups; while some studies have confidently shown aggravation of symptoms in large cohorts, others found no association. Although not considered at an increased risk of Coronavirus Disease 2019 (COVID-19), IBD patients suffer more frequent gastrointestinal symptoms during COVID-19 and a worse outcome has been associated with certain IBD medications and disease activity.
Read the full summary ↓
For this reason, we generated intestinal epithelial organoids from ileum with Crohn’s disease (CD) and colon with ulcerative colitis (UC) together with healthy controls. Each group included five to six patients. Using RNA sequencing we showed that IBD organoids were not more susceptible to infection. The highest viral load two days after infection was in healthy ileum and is correlated to the expression of SARS-CoV-2 entry receptor ACE2 and proteases CTSL/B. Pathway analyses determined an apparently weaker defense reaction in CD organoids to SARS-CoV-2 which could simply be due to the lower viral load compared to the healthy group. In contrast to CD, there was an activation of viral defense in infected UC colon, especially interferon signaling, resembling highly infected healthy ileum. This was not seen in healthy colon and was unexpected since UC and healthy colon did not differ in viral load. In uninfected IBD organoids compared to healthy, there was an already stronger basal expression of genes implicated in viral defense, for example, of viral sensors OAS1 and OASL in CD and interferon regulatory transcription factor IRF7 in UC. Some were further influenced by SARS-CoV-2 infection with notable differences between CD and UC. To conclude, infection with SARS-CoV-2 did not lead to higher viral numbers in IBD organoids providing reassurance for patients in remission. Still, we observed a more pronounced epithelial defense reaction to the virus in UC colon, prompting further investigations on whether this could be the reason for stronger gastrointestinal symptoms of COVID-19 seen in IBD patients or if it could lead to a consequent IBD flare.
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 GSE208684_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 PRJNA860608 and SRA study SRP387328. Searching any of these in the dataset finder brings you back here.

Samples in this study

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