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Assembly of Designer TAL Effectors by Golden Gate Cloning

Overview of attention for article published in PLOS ONE, May 2011
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Title
Assembly of Designer TAL Effectors by Golden Gate Cloning
Published in
PLOS ONE, May 2011
DOI 10.1371/journal.pone.0019722
Pubmed ID
Authors

Ernst Weber, Ramona Gruetzner, Stefan Werner, Carola Engler, Sylvestre Marillonnet

Abstract

Generation of customized DNA binding domains targeting unique sequences in complex genomes is crucial for many biotechnological applications. The recently described DNA binding domain of the transcription activator-like effectors (TALEs) from Xanthomonas consists of a series of repeats arranged in tandem, each repeat binding a nucleotide of the target sequence. We present here a strategy for engineering of TALE proteins with novel DNA binding specificities based on the 17.5 repeat-containing AvrBs3 TALE as a scaffold. For each of the 17 full repeats, four module types were generated, each with a distinct base preference. Using this set of 68 repeat modules, recognition domains for any 17 nucleotide DNA target sequence of choice can be constructed by assembling selected modules in a defined linear order. Assembly is performed in two successive one-pot cloning steps using the Golden Gate cloning method that allows seamless fusion of multiple DNA fragments. Applying this strategy, we assembled designer TALEs with new target specificities and tested their function in vivo.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 484 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
Germany 4 <1%
France 4 <1%
Portugal 2 <1%
Spain 2 <1%
Japan 2 <1%
Mexico 2 <1%
Australia 1 <1%
United Kingdom 1 <1%
Other 7 1%
Unknown 451 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 123 25%
Student > Ph. D. Student 105 22%
Student > Master 58 12%
Student > Bachelor 53 11%
Student > Doctoral Student 24 5%
Other 68 14%
Unknown 53 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 293 61%
Biochemistry, Genetics and Molecular Biology 88 18%
Medicine and Dentistry 14 3%
Chemistry 8 2%
Engineering 8 2%
Other 20 4%
Unknown 53 11%