ArticleAntimicrobial agents and chemotherapy2023
High-Resolution Bacterial Cytological Profiling Reveals Intrapopulation Morphological Variations upon Antibiotic Exposure.
Article in Antimicrobial agents and chemotherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Synthesis of Ag/TiOScientific reports · 2026Article
- Temperature-dependent coliphage induces distinct temporal bacterial morphological dynamics during infection.Microbiology spectrum · 2026Article
- ENOblock synergizes with colistin to treat Acinetobacter baumannii infections.EMBO molecular medicine · 2025Article
- Article
- Exploring microbial diversity in the Kharasinpur hot spring of West Bengal, India.Molecular biology reports · 2025Article
- Advancing antibiotic discovery with bacterial cytological profiling: a high-throughput solution to antimicrobial resistance.Frontiers in microbiology · 2025Review
- Nucleus-forming jumbophage PhiKZ therapeutically outcompetes non-nucleus-forming jumbophage Callisto.iScience · 2024Article
- A novel coli myophage and antibiotics synergistically inhibit the growth of the uropathogenicMicrobiology spectrum · 2023Article
- Sensing of Antibiotic-Bacteria Interactions.Antibiotics (Basel, Switzerland) · 2023Review
- Combination of genetically diverse Pseudomonas phages enhances the cocktail efficiency against bacteria.Scientific reports · 2023Article
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phenotypic heterogeneity is crucial to bacterial survival and could provide insights into the mechanism of action (MOA) of antibiotics, especially those with polypharmacological actions. Although phenotypic changes among individual cells could be detected by existing profiling methods, due to the data complexity, only population average data were commonly used, thereby overlooking the heterogeneity. In this study, we developed a high-resolution bacterial cytological profiling method that can capture morphological variations of bacteria upon antibiotic treatment. With an unprecedented single-cell resolution, this method classifies morphological changes of individual cells into known MOAs with an overall accuracy above 90%. We next showed that combinations of two antibiotics induce altered cell morphologies that are either unique or similar to that of an antibiotic in the combinations. With these combinatorial profiles, this method successfully revealed multiple cytological changes caused by a natural product-derived compound that, by itself, is inactive against Acinetobacter baumannii but synergistically exerts its multiple antibacterial activities in the presence of colistin. The findings have paved the way for future single-cell profiling in bacteria and have highlighted previously underappreciated intrapopulation variations caused by antibiotic perturbation.
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