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Synthetic feedback control using an RNAi-based gene-regulatory device

Overview of attention for article published in Journal of Biological Engineering, April 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

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6 X users
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1 patent
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1 peer review site
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1 Facebook page

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84 Mendeley
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Title
Synthetic feedback control using an RNAi-based gene-regulatory device
Published in
Journal of Biological Engineering, April 2015
DOI 10.1186/s13036-015-0002-3
Pubmed ID
Authors

Ryan J Bloom, Sally M Winkler, Christina D Smolke

Abstract

Homeostasis within mammalian cells is achieved through complex molecular networks that can respond to changes within the cell or the environment and regulate the expression of the appropriate genes in response. The development of biological components that can respond to changes in the cellular environment and interface with endogenous molecules would enable more sophisticated genetic circuits and greatly advance our cellular engineering capabilities. Here we describe a platform that combines a ligand-responsive ribozyme switch and synthetic miRNA regulators to create an OFF genetic control device based on RNA interference (RNAi). We developed a mathematical model to highlight important design parameters in programming the quantitative performance of RNAi-based OFF control devices. By modifying the ribozyme switch integrated into the system, we demonstrated RNAi-based OFF control devices that respond to small molecule and protein ligands, including the oncogenic protein E2F1. We utilized the OFF control device platform to build a negative feedback control system that acts as a proportional controller and maintains target intracellular protein levels in response to increases in transcription rate. Our work describes a novel genetic device that increases the level of silencing from a miRNA in the presence of a ligand of interest, effectively creating an RNAi-based OFF control device. The OFF switch platform has the flexibility to be used to respond to both small molecule and protein ligands. Finally, the RNAi-based OFF switch can be used to implement a negative feedback control system, which maintains target protein levels around a set point level. The described RNAi-based OFF control device presents a powerful tool that will enable researchers to engineer homeostasis in mammalian cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 1%
China 1 1%
Unknown 80 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 38%
Researcher 12 14%
Student > Doctoral Student 6 7%
Student > Bachelor 5 6%
Professor > Associate Professor 4 5%
Other 12 14%
Unknown 13 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 30%
Biochemistry, Genetics and Molecular Biology 22 26%
Engineering 9 11%
Chemistry 5 6%
Chemical Engineering 2 2%
Other 7 8%
Unknown 14 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 25 November 2021.
All research outputs
#3,948,393
of 22,799,071 outputs
Outputs from Journal of Biological Engineering
#55
of 260 outputs
Outputs of similar age
#50,371
of 264,369 outputs
Outputs of similar age from Journal of Biological Engineering
#2
of 4 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 260 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 77% 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 264,369 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 80% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.