ArticleMethods in molecular biology (Clifton, N.J.)2024
Quantitative Determination of Antibacterial Activity During Bacterial Coculture.
Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Type VI secretion system activity at lethal antibiotic concentrations leads to overestimation of weapon potency.Microbiology (Reading, England) · 2025Article
- Competitive behaviors in Serratia marcescens are coordinately regulated by a lifestyle switch frequently inactivated in the clinical environment.Cell host & microbe · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antibacterial activity assays are an important tool in the assessment of the ability of one bacterium to kill or inhibit the growth of another, for example, during the study of the Type VI secretion system (T6SS) and the antibacterial toxins it secretes. The method we describe here can detect the ability of a bacterial strain to kill or inhibit other bacterial cells in a contact-dependent manner when cocultured on an agar surface. It is particularly useful since it enumerates the recovery of viable target cells and thus enables quantification of the antibacterial activity. We provide a detailed description of how to measure the T6SS-dependent antibacterial activity of a bacterium such as Serratia marcescens against a competitor prokaryotic organism, Escherichia coli, and describe possible variations in the method to allow adaptation to other attacker and target organisms.
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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.