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Ribosomal Binding Site Switching: An Effective Strategy for High-Throughput Cloning Constructions

Overview of attention for article published in PLOS ONE, November 2012
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Title
Ribosomal Binding Site Switching: An Effective Strategy for High-Throughput Cloning Constructions
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050142
Pubmed ID
Authors

Yangbo Hu, Lipeng Feng, Yunlong Li, Yong Zhang, Pei Lu, Simon Rayner, Shiyun Chen

Abstract

Direct cloning of PCR fragments by TA cloning or blunt end ligation are two simple methods which would greatly benefit high-throughput (HTP) cloning constructions if the efficiency can be improved. In this study, we have developed a ribosomal binding site (RBS) switching strategy for direct cloning of PCR fragments. RBS is an A/G rich region upstream of the translational start codon and is essential for gene expression. Change from A/G to T/C in the RBS blocks its activity and thereby abolishes gene expression. Based on this property, we introduced an inactive RBS upstream of a selectable marker gene, and designed a fragment insertion site within this inactive RBS. Forward and reverse insertions of specifically tailed fragments will respectively form an active and inactive RBS, thus all background from vector self-ligation and fragment reverse insertions will be eliminated due to the non-expression of the marker gene. The effectiveness of our strategy for TA cloning and blunt end ligation are confirmed. Application of this strategy to gene over-expression, a bacterial two-hybrid system, a bacterial one-hybrid system, and promoter bank construction are also verified. The advantages of this simple procedure, together with its low cost and high efficiency, makes our strategy extremely useful in HTP cloning constructions.

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The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 6%
United States 1 3%
United Kingdom 1 3%
Unknown 32 89%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 19%
Researcher 5 14%
Professor 4 11%
Other 3 8%
Student > Master 3 8%
Other 6 17%
Unknown 8 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 28%
Agricultural and Biological Sciences 9 25%
Medicine and Dentistry 3 8%
Chemistry 3 8%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 8 22%