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Gateway Vectors for Efficient Artificial Gene Assembly In Vitro and Expression in Yeast Saccharomyces cerevisiae

Overview of attention for article published in PLOS ONE, May 2013
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Title
Gateway Vectors for Efficient Artificial Gene Assembly In Vitro and Expression in Yeast Saccharomyces cerevisiae
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0064419
Pubmed ID
Authors

Claudiu V. Giuraniuc, Murray MacPherson, Yasushi Saka

Abstract

Construction of synthetic genetic networks requires the assembly of DNA fragments encoding functional biological parts in a defined order. Yet this may become a time-consuming procedure. To address this technical bottleneck, we have created a series of Gateway shuttle vectors and an integration vector, which facilitate the assembly of artificial genes and their expression in the budding yeast Saccharomyces cerevisiae. Our method enables the rapid construction of an artificial gene from a promoter and an open reading frame (ORF) cassette by one-step recombination reaction in vitro. Furthermore, the plasmid thus created can readily be introduced into yeast cells to test the assembled gene's functionality. As flexible regulatory components of a synthetic genetic network, we also created new versions of the tetracycline-regulated transactivators tTA and rtTA by fusing them to the auxin-inducible degron (AID). Using our gene assembly approach, we made yeast expression vectors of these engineered transactivators, AIDtTA and AIDrtTA and then tested their functions in yeast. We showed that these factors can be regulated by doxycycline and degraded rapidly after addition of auxin to the medium. Taken together, the method for combinatorial gene assembly described here is versatile and would be a valuable tool for yeast synthetic biology.

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Geographical breakdown

Country Count As %
United Kingdom 2 3%
Austria 1 1%
Sweden 1 1%
Lithuania 1 1%
Taiwan 1 1%
China 1 1%
United States 1 1%
Unknown 72 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 29%
Student > Ph. D. Student 16 20%
Student > Bachelor 8 10%
Other 6 8%
Student > Doctoral Student 4 5%
Other 13 16%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 38%
Biochemistry, Genetics and Molecular Biology 25 31%
Social Sciences 4 5%
Medicine and Dentistry 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 5 6%
Unknown 13 16%