Omics · study · 2026
Modeling reptile virus infection in vitro using Python regius airway organoids II
Listed in NCBI GEO
Zoonoses pose substantial global health risks, highlighting the need to better understand animal-to-human transmission.
Description
Reptiles are increasingly recognized as hosts of diverse pathogens, including many viruses. Despite this, reptile pathogens remain poorly understood in terms of their diversity, prevalence, and potential risk to humans.
Yet human–reptile contact is increasing, driven in part by the global wildlife trade and pet industry. This underscores the need to better understand reptile-associated pathogens; however, models to study reptile viruses remain scarce. Here, we establish and characterize airway organoids derived from Python regius, providing an in vitro model of the reptile airway.
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Through de novo assembly of a Python regius reference genome, we characterized airway organoids at single-cell resolution, revealing diverse cell populations including ionocytes, ciliated, goblet, club, endocrine, tuft, and basal cells. The organoids supported productive infection with ball python nidovirus (BPNV) and mounted a robust epithelial antiviral response through induction of interferon-stimulated genes, cytokines and genes involved in chemical defense.
As a proof-of-concept, antiviral drug treatment reduced BPNV levels, highlighting the model's utility for drug testing. By providing a reductionist system of the serpentine airway, these organoids constitute a physiologically relevant in vitro model to study reptile viruses and host–pathogen interactions in the native host. This system has potential veterinary applications, ecology of serpentes, and zoonotic disease research.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE313nnn/GSE313817 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE313817 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1381627 ncbi.nlm.nih.gov/bioproject/PRJNA1381627 ↗
project · from NCBI GEO
- PubMed 42722640 pubmed.ncbi.nlm.nih.gov/42722640 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Disease 75%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE313817 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |