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Can terminators be used as insulators into yeast synthetic gene circuits?

Overview of attention for article published in Journal of Biological Engineering, December 2016
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Title
Can terminators be used as insulators into yeast synthetic gene circuits?
Published in
Journal of Biological Engineering, December 2016
DOI 10.1186/s13036-016-0040-5
Pubmed ID
Authors

Wenjiang Song, Jing Li, Qiang Liang, Mario Andrea Marchisio

Abstract

In bacteria, transcription units can be insulated by placing a terminator in front of a promoter. In this way promoter leakage due to the read-through from an upstream gene or RNA polymerase unspecific binding to the DNA is, in principle, removed. Differently from bacterial terminators, yeast S. cerevisiae terminators contain a hexamer sequence, the efficiency element, that strongly resembles the eukaryotic TATA box i.e. the promoter sequence recognized and bound by RNA polymerase II. By placing different yeast terminators (natural and synthetic) in front of the CYC1 yeast constitutive promoter stripped of every upstream activating sequences and TATA boxes, we verified that the efficiency element is able to bind RNA polymerase II, hence working as a TATA box. Moreover, terminators put in front of strong and medium-strength constitutive yeast promoters cause a non-negligible decrease in the promoter transcriptional activity. Our data suggests that RNA polymerase II molecules upon binding the insulator efficiency element interfere with protein expression by competing either with activator proteins at the promoter enhancers or other RNA polymerase II molecules targeting the TATA box. Hence, it seems preferable to avoid the insulation of non-weak promoters when building synthetic gene circuit in yeast S. cerevisiae.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 30%
Researcher 5 15%
Student > Master 4 12%
Student > Bachelor 3 9%
Student > Doctoral Student 1 3%
Other 0 0%
Unknown 10 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 33%
Biochemistry, Genetics and Molecular Biology 9 27%
Immunology and Microbiology 1 3%
Chemistry 1 3%
Engineering 1 3%
Other 0 0%
Unknown 10 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 January 2017.
All research outputs
#18,504,575
of 22,925,760 outputs
Outputs from Journal of Biological Engineering
#213
of 262 outputs
Outputs of similar age
#310,179
of 421,168 outputs
Outputs of similar age from Journal of Biological Engineering
#5
of 7 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 262 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 7 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.