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Spatial transcriptomics: P. aeruginosa corneal infection

ABSTRACT: To holistically unravel the complexity of pathogen-host interactions within infected tissues we leverage a dual spatial transcriptomic approach that, for the first time, simultaneously captures the expression of Pseudomonas aeruginosa genes alongside the entire host transcriptome in a model of ocular infection. This innovative method reveals differential pathogen and host-specific gene expression patterns across specific anatomical regions generating a unified transcriptional map of infection. By integrating these data, we developed a predictive ridge regression model trained on images from infected tissues.

ORGANISM(S): Mus musculus

PROVIDER: GSE285269 | GEO | 2024/12/27

REPOSITORIES: GEO

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