ArticleCell genomics2025
Spatial transcriptomics identifies novel Pseudomonas aeruginosa virulence factors.
Article in Cell genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Direct bacterial transcript visualization illuminates spatiotemporal environmental adaptation ofScience advances · 2026Article
- Beyond Resistance Genes:Life (Basel, Switzerland) · 2026Review
- Novel Approaches for Investigating Host Responses to HIV Infection in Ex Vivo Human Genital Tissues.American journal of reproductive immunology (New York, N.Y. : 1989) · 2026Review
- Exploring microorganism-host interactions: Emerging organoid models and analytical approaches.mLife · 2026Review
- Dissecting microbial communities with single-cell transcriptome analysis.Science (New York, N.Y.) · 2025Review
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
To examine host-pathogen interactions, we leveraged a dual spatial transcriptomics approach that simultaneously captures the expression of Pseudomonas aeruginosa genes alongside the entire host transcriptome using a murine model of ocular infection. This method revealed differential pathogen- and host-specific gene expression patterns in infected corneas, which generated a unified transcriptional map of infection. By integrating these data, we developed a predictive ridge regression model trained on images from infected tissues. The model achieved an R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.