ArticleThe Journal of biological chemistry2018
The chemical topology of a bacterial swarm.
Article in The Journal of biological chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Microbes respond to antibiotics by initiating a suite of defense mechanisms, including the production of small-molecule effectors. However, it is not well-known how these defenses vary according to the particular effector or antibiotic and bacterial state, due in part to the challenges of monitoring small molecules in complex environments. A new study uses state-of-the-art imaging techniques to track the location of secreted small molecules produced by a bacterial swarm in response to different antibiotics, providing unexpected insights into the spatial heterogeneity of bacterial stress responses.
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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.