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Cited by 179

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Real-time monitoring of quorum sensing in 3D-printed bacterial aggregates using scanning electrochemical microscopy

Open access
Connell, Jodi L., Kim, Jiyeon, Shear, Jason B., Bard, Allen J., Whiteley, Marvin·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: Bacteria commonly reside in vivo as communities comprised of small, densely packed aggregates. Aggregates display important phenotypes, including enhanced antibiotic resistance, and recent evidence suggests that chemical interactions between aggregates are critical in human-associated microbial communities. However, studying aggregates is challenging because of the inability to confine and spatially organize small microbial populations. Here, we interface two analytical technologies, micro-3D printing and scanning electrochemical microscopy, to develop an in vitro platform with the capacity to manipulate the size and spatial arrangement of bacterial aggregates and quantify chemical interactions between aggregates in real time. We show that a quorum-sensing metabolite is produced by Pseudomonas aeruginosa aggregates containing as few as 500 cells and determine how spatial structure impacts communication between neighboring aggregates.

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Metadata

Authors
Connell, J. L., Kim, J., Shear, J. B., Bard, A. J., & Whiteley, M.
Venue
Proceedings of the National Academy of Sciences
Published
2014-12-08
Volume
111
Issue
51
Pages
18255-18260
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2021063995
Cited by
179
References
5
FWCI
4.38
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Real-time monitoring of quorum sensing in 3D-printed bacterial aggregates using scanning electrochemical microscopy. https://app.cochat.ai/papers/10.1073/pnas.1421211111
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Connell, J. L., Kim, J., Shear, J. B., Bard, A. J., & Whiteley, M. (2014). Real-time monitoring of quorum sensing in 3D-printed bacterial aggregates using scanning electrochemical microscopy. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1421211111

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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.