← BioTransfer GEO Dataset Finder
GEO series

Sandfly saliva reprogrammes skin fibroblasts to enhance arbovirus infection

GSE297255 Mus musculus (mouse) RNA-seq (gene expression) 11 samples Submitted 2025/12/10 Platform GPL34328
At a glance

RNA-seq (gene expression) · mouse · 11 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
11 samples: 6 × Sandfly salivary gland extract-treated fibroblasts, vs 5 × Resting fibroblasts,Groups 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
Sand fly saliva reprograms skin fibroblasts to enhance arbovirus infectioniScience · 2025
Summary (written by the submitters)
Arbovirus transmission by sand flies is a growing public health concern, yet the early skin events shaping infection outcomes remain undefined. We establish a new mouse model of Toscana virus (TOSV) infection that incorporates sand fly salivary factors to mimic natural transmission. Saliva from two distinct sand fly genera significantly enhanced infection and promoted neurological signs and joint inflammation, recapitulating key features of human TOSV disease.
Read the full summary ↓
In the skin, dermal macrophages and fibroblasts were the main infected cell types, but only fibroblasts generated infectious virus. Saliva reprogrammed fibroblasts into a wound-healing state permissive to viral replication, driving local viral amplification, systemic spread, and thereby clinical disease. These findings identify skin fibroblasts as central determinants of host susceptibility and reveal that sand fly saliva actively remodels the skin to exacerbate viral pathogenesis. This work redefines the skin’s role in sand fly-transmitted infection and highlights new targets for therapeutic and vaccine development.
Published in
Sand fly saliva reprograms skin fibroblasts to enhance arbovirus infection
Keskek Turk Y, McCafferty-Brown A, Barningham L et al. · iScience 2025 · PMID 41362756 · doi:10.1016/j.isci.2025.113854
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 GSE297255_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 PRJNA1263399 and SRA study SRP585652. Searching any of these in the dataset finder brings you back here.

Study design
6 × Sandfly salivary gland extract-treated fibroblasts, vs 5 × Resting fibroblasts,

Supports a between-group comparison across 11 samples.

How we read this: 2 replicated groups read from 11 sample titles; they account for 11 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

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.