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Resource Competition Shapes the Response of Genetic Circuits

Overview of attention for article published in ACS Synthetic Biology, April 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
2 blogs
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16 X users
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5 patents
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1 Facebook page

Readers on

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270 Mendeley
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Article details
Title
Resource Competition Shapes the Response of Genetic Circuits
Published in
ACS Synthetic Biology, April 2017
DOI 10.1021/acssynbio.6b00361
Pubmed ID
Authors
Abstract

A common approach to design genetic circuits is to compose gene expression cassettes together. While appealing, this modular approach is challenged by the fact that expression of each gene depends on the availability of transcriptional/translational resources, which is in turn determined by the presence of other genes in the circuit. This raises the question of how competition for resources by different genes affects a circuit's behavior. Here, we create a library of genetic activation cascades in bacteria E. coli, where we explicitly tune the resource demand by each gene. We develop a general Hill-function-based model that incorporates resource competition effects through resource demand coefficients. These coefficients lead to non-regulatory interactions among genes, which reshape circuit's behavior. For the activation cascade, such interactions result in surprising biphasic or monotonically decreasing responses. Finally, we use resource demand coefficients to guide the choice of ribosome binding site (RBS) and DNA copy number to restore the cascade's intended monotonically increasing response. Our results demonstrate how unintended circuit's behavior arises from resource competition and provide a model-guided methodology to minimize the resulting effects.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 270 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 <1%
China 1 <1%
Unknown 268 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 75 28%
Researcher 40 15%
Student > Master 29 11%
Student > Bachelor 22 8%
Student > Doctoral Student 10 4%
Other 29 11%
Unknown 65 24%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 97 36%
Agricultural and Biological Sciences 32 12%
Engineering 27 10%
Chemical Engineering 12 4%
Chemistry 8 3%
Other 24 9%
Unknown 70 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 19 June 2025.
All research outputs
#1,703,323
of 33,957,889 outputs
Outputs from ACS Synthetic Biology
#197
of 3,430 outputs
Outputs of similar age
#25,307
of 352,042 outputs
Outputs of similar age from ACS Synthetic Biology
#6
of 64 outputs
Altmetric has tracked 33,957,889 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,430 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done particularly well, scoring higher than 94% 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 352,042 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.