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Cited by 212

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Confinement-induced quorum sensing of individual Staphylococcus aureus bacteria

Open access
Carnes, Eric C, Lopez, DeAnna M, Donegan, Niles P, Cheung, Ambrose, Gresham, Hattie, Timmins, Graham S, Brinker, C Jeffrey·2010·Nature Chemical Biology

Abstract

It is postulated that, in addition to cell density, other factors, such as the dimensions and diffusional characteristics of the environment, could influence quorum sensing (QS) and induction of genetic reprogramming. Modeling studies predict that QS may operate at the level of a single cell, but, due to experimental challenges, the potential benefits of QS by individual cells remain virtually unexplored. Here we report a physical system that mimics isolation of a bacterium, such as within an endosome or phagosome during infection, and maintains cell viability under conditions of complete chemical and physical isolation. For Staphylococcus aureus, we show quorum sensing and genetic re-programming to occur in a single isolated organism. Quorum sensing allows S. aureus to sense confinement and to activate virulence and metabolic pathways needed for survival. To demonstrate the benefit of confinement-induced quorum sensing to individuals, we showed quorum sensing bacteria to have significantly greater viability over non-QS bacteria.

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Metadata

Authors
Carnes, E. C., Lopez, D. M., Donegan, N. P., Cheung, A., Gresham, H., Timmins, G. S., & Brinker, C. J.
Venue
Nature Chemical Biology
Published
2009-11-22
Volume
6
Issue
1
Pages
41-45
ISSN
  • 1552-4450 (ISSN-L)
  • 1552-4469
OpenAlex
W1991505160
Cited by
212
References
1
FWCI
5.64
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Confinement-induced quorum sensing of individual Staphylococcus aureus bacteria. https://app.cochat.ai/papers/10.1038/nchembio.264
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Carnes, E. C., Lopez, D. M., Donegan, N. P., Cheung, A., Gresham, H., Timmins, G. S., & Brinker, C. J. (2010). Confinement-induced quorum sensing of individual Staphylococcus aureus bacteria. Nature Chemical Biology. https://doi.org/10.1038/nchembio.264

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.