ArticleProceedings of the National Academy of Sciences of the United States of America2024
Microscopic phage adsorption assay: High-throughput quantification of virus particle attachment to host bacterial cells.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Phage host range: determinants, dynamics and applications.Nature reviews. Microbiology · 2026Review
- Rapid and quantitative measurement of bacteriophage infectivity via fully automated droplet digital PCR.Nature communications · 2026Article
- Rage against the mean: a perspective on measuring fitness of individual phage particles.Npj viruses · 2026Review
- Tools and approaches to study the human gut virome: from the bench to bioinformatics.mSystems · 2026Review
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4 authors.
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Abstract
Phages, viruses of bacteria, play a pivotal role in Earth's biosphere and hold great promise as therapeutic and diagnostic tools in combating infectious diseases. Attachment of phages to bacterial cells is a crucial initial step of the interaction. The classic assay to quantify the dynamics of phage attachment involves coculturing and enumeration of bacteria and phages, which is laborious, lengthy, hence low-throughput, and only provides ensemble estimates of model-based adsorption rate constants. Here, we utilized fluorescence microscopy and particle tracking to obtain trajectories of individual virus particles interacting with cells. The trajectory durations quantified the heterogeneity in dwell time, the time that each phage spends interacting with a bacterium. The average dwell time strongly correlated with the classically measured adsorption rate constant. We successfully applied this technique to quantify host-attachment dynamics of several phages including those targeting key bacterial pathogens. This approach should benefit the field of phage biology by providing highly quantitative, model-free readouts at single-virus resolution, helping to uncover single-virus phenomena missed by traditional measurements. Owing to significant reduction in manual effort, our method should enable rapid, high-throughput screening of a phage library against a target bacterial strain for applications such as therapy or diagnosis.
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