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Oscillations by Minimal Bacterial Suicide Circuits Reveal Hidden Facets of Host-Circuit Physiology

Overview of attention for article published in PLOS ONE, July 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
1 blog
patent
4 patents

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
163 Mendeley
citeulike
7 CiteULike
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Title
Oscillations by Minimal Bacterial Suicide Circuits Reveal Hidden Facets of Host-Circuit Physiology
Published in
PLOS ONE, July 2010
DOI 10.1371/journal.pone.0011909
Pubmed ID
Authors

Philippe Marguet, Yu Tanouchi, Eric Spitz, Cameron Smith, Lingchong You

Abstract

Synthetic biology seeks to enable programmed control of cellular behavior though engineered biological systems. These systems typically consist of synthetic circuits that function inside, and interact with, complex host cells possessing pre-existing metabolic and regulatory networks. Nevertheless, while designing systems, a simple well-defined interface between the synthetic gene circuit and the host is frequently assumed. We describe the generation of robust but unexpected oscillations in the densities of bacterium Escherichia coli populations by simple synthetic suicide circuits containing quorum components and a lysis gene. Contrary to design expectations, oscillations required neither the quorum sensing genes (luxR and luxI) nor known regulatory elements in the P(luxI) promoter. Instead, oscillations were likely due to density-dependent plasmid amplification that established a population-level negative feedback. A mathematical model based on this mechanism captures the key characteristics of oscillations, and model predictions regarding perturbations to plasmid amplification were experimentally validated. Our results underscore the importance of plasmid copy number and potential impact of "hidden interactions" on the behavior of engineered gene circuits - a major challenge for standardizing biological parts. As synthetic biology grows as a discipline, increasing value may be derived from tools that enable the assessment of parts in their final context.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 6%
United Kingdom 6 4%
Germany 3 2%
Spain 2 1%
India 1 <1%
Canada 1 <1%
Chile 1 <1%
Mexico 1 <1%
France 1 <1%
Other 2 1%
Unknown 135 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 31%
Researcher 31 19%
Student > Master 12 7%
Student > Bachelor 11 7%
Professor > Associate Professor 11 7%
Other 34 21%
Unknown 14 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 40%
Biochemistry, Genetics and Molecular Biology 30 18%
Computer Science 12 7%
Engineering 12 7%
Medicine and Dentistry 4 2%
Other 22 13%
Unknown 18 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 February 2024.
All research outputs
#2,607,589
of 23,806,312 outputs
Outputs from PLOS ONE
#32,935
of 203,376 outputs
Outputs of similar age
#9,702
of 96,060 outputs
Outputs of similar age from PLOS ONE
#158
of 761 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 203,376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 96,060 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 761 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.