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Dynamic regulation of gene expression using sucrose responsive promoters and RNA interference in Saccharomyces cerevisiae

Overview of attention for article published in Microbial Cell Factories, April 2015
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Title
Dynamic regulation of gene expression using sucrose responsive promoters and RNA interference in Saccharomyces cerevisiae
Published in
Microbial Cell Factories, April 2015
DOI 10.1186/s12934-015-0223-7
Pubmed ID
Authors

Thomas C Williams, Monica I Espinosa, Lars K Nielsen, Claudia E Vickers

Abstract

Engineering dynamic, environmentally- and temporally-responsive control of gene expression is one of the principle objectives in the field of synthetic biology. Dynamic regulation is desirable because many engineered functions conflict with endogenous processes which have evolved to facilitate growth and survival, and minimising conflict between growth and production phases can improve product titres in microbial cell factories. There are a limited number of mechanisms that enable dynamic regulation in yeast, and fewer still that are appropriate for application in an industrial setting. To address this problem we have identified promoters that are repressed during growth on glucose, and activated during growth on sucrose. Catabolite repression and preferential glucose utilisation allows active growth on glucose before switching to production on sucrose. Using sucrose as an activator of gene expression circumvents the need for expensive inducer compounds and enables gene expression to be triggered during growth on a fermentable, high energy-yield carbon source. The ability to fine-tune the timing and population density at which gene expression is activated from the SUC2 promoter was demonstrated by varying the ratio of glucose to sucrose in the growth medium. Finally, we also demonstrated that the system could also be used to repress gene expression (a process also required for many engineering projects). We used the glucose/sucrose system to control a heterologous RNA interference module and dynamically repress the expression of a constitutively regulated GFP gene. The low noise levels and high dynamic range of the SUC2 promoter make it a promising option for implementing dynamic regulation in yeast. The capacity to repress gene expression using RNA interference makes the system highly versatile, with great potential for metabolic engineering applications.

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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 1 1%
Chile 1 1%
Brazil 1 1%
India 1 1%
Denmark 1 1%
China 1 1%
Korea, Republic of 1 1%
United States 1 1%
Unknown 92 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 30%
Researcher 16 16%
Student > Bachelor 12 12%
Student > Master 11 11%
Student > Doctoral Student 5 5%
Other 11 11%
Unknown 15 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 36%
Agricultural and Biological Sciences 33 33%
Chemical Engineering 3 3%
Engineering 3 3%
Environmental Science 2 2%
Other 6 6%
Unknown 17 17%
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 18 April 2015.
All research outputs
#14,275,291
of 23,321,213 outputs
Outputs from Microbial Cell Factories
#878
of 1,642 outputs
Outputs of similar age
#136,715
of 265,740 outputs
Outputs of similar age from Microbial Cell Factories
#19
of 37 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,642 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 45th percentile – i.e., 45% 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 265,740 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.