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Minimizing Context Dependency of Gene Networks Using Artificial Cells

Overview of attention for article published in ACS Applied Materials & Interfaces, August 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
9 news outlets
blogs
4 blogs
twitter
27 X users
patent
2 patents
facebook
2 Facebook pages
googleplus
1 Google+ user
reddit
2 Redditors
video
1 YouTube creator
podcasts
1 podcast

Readers on

mendeley
92 Mendeley
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Article details
Title
Minimizing Context Dependency of Gene Networks Using Artificial Cells
Published in
ACS Applied Materials & Interfaces, August 2018
DOI 10.1021/acsami.8b10029
Pubmed ID
Authors
Abstract

The functioning of synthetic gene circuits depends on their local chemical context defined by the types and concentrations of biomolecules in the surrounding milieu that influences gene transcription and translation. This chemical-context dependence of synthetic gene circuits arises from significant yet unknown cross talk between engineered components, host cells, and environmental factors and has been a persistent challenge for synthetic biology. Here, we show that the sensitivity of synthetic gene networks to their extracellular chemical contexts can be minimized, and their designed functions rendered robust using artificial cells, which are synthetic biomolecular compartments engineered from the bottom-up using liposomes that encapsulate the gene networks. Our artificial cells detect, interact with, and kill bacteria in simulated external environments with different chemical complexity. Our work enables the engineering of synthetic gene networks with minimal dependency on their extracellular chemical context and creates a new frontier in controlling robustness of synthetic biological systems using bioinspired mechanisms.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 92 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 %
Unknown 92 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 21 23%
Student > Bachelor 12 13%
Student > Master 10 11%
Researcher 8 9%
Professor 5 5%
Other 12 13%
Unknown 24 26%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 18%
Chemistry 14 15%
Agricultural and Biological Sciences 13 14%
Engineering 9 10%
Physics and Astronomy 3 3%
Other 8 9%
Unknown 28 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 111. 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 July 2022.
All research outputs
#481,803
of 34,492,055 outputs
Outputs from ACS Applied Materials & Interfaces
#165
of 30,871 outputs
Outputs of similar age
#7,653
of 353,536 outputs
Outputs of similar age from ACS Applied Materials & Interfaces
#5
of 694 outputs
Altmetric has tracked 34,492,055 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 30,871 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 99% 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 353,536 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 97% of its contemporaries.
We're also able to compare this research output to 694 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 99% of its contemporaries.