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Biological Signal Processing with a Genetic Toggle Switch

Overview of attention for article published in PLOS ONE, July 2013
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2 X users
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1 Facebook page

Citations

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37 Dimensions

Readers on

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100 Mendeley
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2 CiteULike
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Title
Biological Signal Processing with a Genetic Toggle Switch
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0068345
Pubmed ID
Authors

Patrick Hillenbrand, Georg Fritz, Ulrich Gerland

Abstract

Complex gene regulation requires responses that depend not only on the current levels of input signals but also on signals received in the past. In digital electronics, logic circuits with this property are referred to as sequential logic, in contrast to the simpler combinatorial logic without such internal memory. In molecular biology, memory is implemented in various forms such as biochemical modification of proteins or multistable gene circuits, but the design of the regulatory interface, which processes the input signals and the memory content, is often not well understood. Here, we explore design constraints for such regulatory interfaces using coarse-grained nonlinear models and stochastic simulations of detailed biochemical reaction networks. We test different designs for biological analogs of the most versatile memory element in digital electronics, the JK-latch. Our analysis shows that simple protein-protein interactions and protein-DNA binding are sufficient, in principle, to implement genetic circuits with the capabilities of a JK-latch. However, it also exposes fundamental limitations to its reliability, due to the fact that biological signal processing is asynchronous, in contrast to most digital electronics systems that feature a central clock to orchestrate the timing of all operations. We describe a seemingly natural way to improve the reliability by invoking the master-slave concept from digital electronics design. This concept could be useful to interpret the design of natural regulatory circuits, and for the design of synthetic biological systems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 2%
Germany 1 1%
Brazil 1 1%
United Kingdom 1 1%
Argentina 1 1%
Spain 1 1%
United States 1 1%
Unknown 92 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 31%
Student > Master 14 14%
Researcher 13 13%
Student > Doctoral Student 11 11%
Student > Bachelor 10 10%
Other 13 13%
Unknown 8 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 32%
Biochemistry, Genetics and Molecular Biology 21 21%
Engineering 12 12%
Physics and Astronomy 9 9%
Computer Science 3 3%
Other 12 12%
Unknown 11 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 July 2013.
All research outputs
#15,204,667
of 24,226,848 outputs
Outputs from PLOS ONE
#129,573
of 208,425 outputs
Outputs of similar age
#112,563
of 198,188 outputs
Outputs of similar age from PLOS ONE
#2,705
of 4,695 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 208,425 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 198,188 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,695 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.