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Jungle Express is a versatile repressor system for tight transcriptional control

Overview of attention for article published in Nature Communications, September 2018
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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 (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
51 X users
patent
1 patent
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
141 Mendeley
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Title
Jungle Express is a versatile repressor system for tight transcriptional control
Published in
Nature Communications, September 2018
DOI 10.1038/s41467-018-05857-3
Pubmed ID
Authors

Thomas L. Ruegg, Jose H. Pereira, Joseph C. Chen, Andy DeGiovanni, Pavel Novichkov, Vivek K. Mutalik, Giovani P. Tomaleri, Steven W. Singer, Nathan J. Hillson, Blake A. Simmons, Paul D. Adams, Michael P. Thelen

Abstract

Tightly regulated promoters are essential for numerous biological applications, where strong inducibility, portability, and scalability are desirable. Current systems are often incompatible with large-scale fermentations due to high inducer costs and strict media requirements. Here, we describe the bottom-up engineering of 'Jungle Express', an expression system that enables efficient gene regulation in diverse proteobacteria. This system is guided by EilR, a multidrug-binding repressor with high affinity to its optimized operator and cationic dyes that act as powerful inducers at negligible costs. In E. coli, the engineered promoters exhibit minimal basal transcription and are inducible over four orders of magnitude by 1 µM crystal violet, reaching expression levels exceeding those of the strongest current bacterial systems. Further, we provide molecular insights into specific interactions of EilR with its operator and with two inducers. The versatility of Jungle Express opens the way for tightly controlled and efficient gene expression that is not restricted to host organism, substrate, or scale.

X Demographics

X Demographics

The data shown below were collected from the profiles of 51 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 141 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 28%
Researcher 26 18%
Student > Bachelor 14 10%
Student > Master 11 8%
Student > Doctoral Student 7 5%
Other 8 6%
Unknown 35 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 48 34%
Agricultural and Biological Sciences 25 18%
Chemical Engineering 7 5%
Engineering 5 4%
Chemistry 4 3%
Other 10 7%
Unknown 42 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 63. 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 31 March 2023.
All research outputs
#699,465
of 25,891,484 outputs
Outputs from Nature Communications
#12,043
of 58,917 outputs
Outputs of similar age
#14,659
of 347,409 outputs
Outputs of similar age from Nature Communications
#318
of 1,425 outputs
Altmetric has tracked 25,891,484 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,917 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one has done well, scoring higher than 79% 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 347,409 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 95% of its contemporaries.
We're also able to compare this research output to 1,425 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.