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Human giant GTPase GVIN1 forms an antimicrobial coatomer around the intracellular bacterial pathogen Burkholderia thailandensis

GSE288527 Homo sapiens (human) RNA-seq (gene expression) 40 samples Submitted 2025/04/14 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 40 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
40 samples: 10 conditions, mostly with about 4 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
Human giant GTPase GVIN1 forms an antimicrobial coatomer around the intracellular bacterial pathogen Burkholderia thailandensisbioRxiv : the preprint server for biology · 2025
Summary (written by the submitters)
Several human pathogens exploit the kinetic forces generated by polymerizing actin to power their intracellular motility. Human cell-autonomous immune responses activated by the cytokine interferon-gamma (IFNγ) interfere with such microbial actin-based motility, yet the underlying molecular mechanisms are poorly defined. Here, we identify the IFNγ-inducible human giant GTPases GVIN1 as a novel host defense protein that blocks the bacterial pathogen Burkholderia thailandensis from high-jacking the host's actin polymerization machinery.
Read the full summary ↓
We found that GVIN1 proteins form a coatomer around cytosolic bacteria and prevent Burkholderia from establishing force-generating actin comet tails. Coatomers formed by a second IFNγ-inducible GTPase, human guanylate binding protein 1 (GBP1), constitute a GVIN1-independent but mechanistically related anti-motility pathway. We show that coating with either GVIN1 or GBP1 displaces the Burkholderia outer membrane protein BimA, an actin nucleator that is essential for actin tail formation. Both GVIN1 and GBP1 coatomers require additional IFNγ-inducible co-factors to disrupt the membrane localization of BimA, demonstrating the existence of two parallel-acting IFNγ-inducible defense modules that evolved to target a virulence trait critical for the pathogenesis of numerous bacterial infectious agents.
Published in
Human giant GTPase GVIN1 forms an antimicrobial coatomer around the intracellular bacterial pathogen Burkholderia thailandensis
Guo W, Apte SS, Dickinson MS et al. · bioRxiv : the preprint server for biology 2025 · PMID 40196472 · doi:10.1101/2025.03.24.645074
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 GSE288527_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 PRJNA1217935 and SRA study SRP560977. Searching any of these in the dataset finder brings you back here.

Study design
10 conditions, mostly with about 4 replicates each
A549 untreated ×4 A549 6h IFNg ×4 HeLa untreated ×4 HeLa 6h IFNg ×4 T24 untreated ×4 T24 6h IFNg ×4 THP1 untreated ×4 THP1 6h IFNg ×4 +2 more

Supports a between-group comparison across 40 samples.

How we read this: 10 replicated groups read from 40 sample titles; they account for 40 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
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