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Immune factors produced by PBMCs upon stimulation with Lactobacillus delbrueckii ssp. bulgaricus OLL1073R-1-derived exopolysaccharides inhibit HCoV-229E and SARS-CoV-2 replication

GSE295798 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/08/30 Platform GPL30173
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 6 conditions, mostly with about 5 replicates eachGroups 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
Immune factors produced by PBMCs upon stimulation with lactobacillus delbrueckii ssp. bulgaricus OLL1073R-1-derived exopolysaccharides inhibit HCoV-229E and SARS-CoV-2 replicationScientific reports · 2025
Summary (written by the submitters)
The COVID-19 pandemic entered a controllable phase due to vaccine and drug development. The development of defense strategies of enhancing host innate immunity remains imperative to counter the emergence of infectious SARS-CoV-2 variants. In this study, we examined the inhibitory effects of Lactobacillus delbrueckii ssp. bulgaricus OLL1073R-1 (OLL1073R-1)-derived exopolysaccharides (R-1 EPS), a natural immunomodulator, against coronaviral infection.
Read the full summary ↓
The inhibitory effect of R-1 EPS on HCoV-229E was evaluated first and subsequently extended to SARS-CoV-2. Cell culture supernatant was obtained by stimulating human peripheral blood mononuclear cells with R-1 EPS (R-1 sup), and the inhibitory effect of R-1 sup on coronaviruses was evaluated using the human lung cell line, MRC5. High levels of proinflammatory cytokines were detected in R-1 sup, and replication of both HCoV-229E and SARS-CoV-2 was significantly suppressed in MRC5 cells pretreated with R-1 sup. Transcriptomic analysis revealed that type I IFN signaling was upregulated in R-1 sup-treated MRC5 cells. Our results suggest that immune factors, including proinflammatory cytokines, in R-1 sup, enhance type I IFN response, resulting in a broad spectral inhibitory effect on coronaviruses. This study provides a scientific basis for the application of OLL1073R-1 and R-1 EPS as preventive strategies against SARS-CoV-2 and other coronaviruses.
Published in
Immune factors produced by PBMCs upon stimulation with lactobacillus delbrueckii ssp. bulgaricus OLL1073R-1-derived exopolysaccharides inhibit HCoV-229E and SARS-CoV-2 replication
Tang S, Takai-Todaka R, Ishii S et al. · Scientific reports 2025 · PMID 40866523 · doi:10.1038/s41598-025-17308-3
This dataset
Open GSE295798 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 GSE295798_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 PRJNA1256396 and SRA study SRP581935. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40866523) ↗
Study design
6 conditions, mostly with about 5 replicates each
MRC5 cells, Control sup-treated ×5 MRC5 cells, R-1 sup-treated ×5 MRC5/hACE2 cells, Control sup-treated ×5 MRC5/hACE2 cells, R-1 sup-treated ×5 MRC5 cells, Untreated control ×2 MRC5/hACE2 cells, Untreated control ×2

Supports a between-group comparison across 24 samples.

How we read this: 6 replicated groups read from 24 sample titles; they account for 24 of them. 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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