GEO series

Direct cytotoxicity to host cells by the MARTX toxin underlies the hypervirulence of foodborne Vibrio vulnificus

GSE308195 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/09/22 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 12 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: Mus musculus (mouse)
Samples: 12 samples: 12 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)

Vibrio vulnificus causes severe necrotizing wound infections and life-threatening foodborne infections. While clinical isolates of V. vulnificus are well-established as human pathogens, the pathogenic mechanisms underlying the virulence of food-derived isolates, particularly in the case of wound infections, remain poorly understood. This study aimed to elucidate the pathogenic mechanisms of a highly virulent, seafood-derived V.

Read the full summary ↓

vulnificus isolate. A molecular survey of 28 V. vulnificus isolates from Shenzhen identified four MARTX toxin types, with the D-type predominating (36%). We characterized a representative shrimp-derived isolate, Vv3, which carries a chromosomal D-type MARTX with an ACD-MCF-ABH-MCF effector architecture. Using a newly established mouse wound infection model, Vv3 induced 100% mortality within 12 hours, with high bacterial loads detected systemically. Pathological analysis revealed severe tissue damage at the infection site, marked by muscle necrosis, and significant distal organ damage. Strikingly, flow cytometry analysis of splenocytes showed a significant depletion of macrophages and lymphocytes, rather than a classic cytokine storm, which was supported by transcriptomic data. To dissect the molecular drivers underlying the pathogenicity of food-derived V. vulnificus, we generated isogenic toxin mutants. In vitro assays demonstrated that the MARTX toxin was the primary mediator of rapid cell death in both macrophages and epithelial cells. Deletion of the GD-rich repeat domain in the MARTX toxin (ΔrtxA-GD) significantly reduced cytotoxicity and allowed cells to maintain their morphology, while deletion of hemolysin (ΔvvhA) had a minor effect. Critically, In vivo mice wound infections indicated that MARTX-deficient mutants with or without deletion of vvhA is unable to cause mortality in mice. These results establish that the D-type MARTX toxin is the dominant virulence determinant in this foodborne isolate, driving mortality through a direct destruction of host cells. This study highlights the severe risk posed by foodborne V. vulnificus in wound exposures and informs that the GD-rich region serves as a potential target for intervention against V. vulnificus infection.

This dataset

Open GSE308195 in finder → Find more mouse 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 GSE308195_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 PRJNA1329186 and SRA study SRP620765. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

12 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 12 sample titles: 12 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

GSM9240138 Vv3_1_SI
GSM9240139 Vv3_2_SI
GSM9240140 Vv3_3_SI
GSM9240141 C1_SI
GSM9240142 C2_SI
GSM9240143 C3_SI
GSM9240144 Vv3_2_Spleen
GSM9240145 Vv3_3_Spleen
GSM9240146 Vv3_4_Spleen
GSM9240147 C1_Spleen
GSM9240148 C2_Spleen
GSM9240149 C3_Spleen

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