Tools for TAL effector design and target prediction

被引:12
|
作者
Booher, Nicholas J. [1 ]
Bogdanove, Adam J. [1 ]
机构
[1] Cornell Univ, Ithaca, NY 14853 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
TALENs; Genome editing; Bioinformatics; Protein-DNA interactions; DNA targeting; Target prediction; DNA; SEQUENCE; SPECIFICITIES; RECOGNITION;
D O I
10.1016/j.ymeth.2014.06.006
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
TAL effectors are transcription factors injected into plant cells by pathogenic bacteria during infection. They find their specific DNA targets via a string of contiguous, structural repeats that individually recognize single nucleotides (with some degeneracy) by virtue of polymorphisms at residue 13. The number of repeats and sequence of the amino acids at position 13 determine the nucleotide sequence of the DNA target. Due to this modularity, TAL effectors are readily engineered and have been used alone or as molecular fusions for targeted gene activation, gene repression, chromatin modification, chromatin tagging, and most broadly, for genome editing as TAL effector nucleases (TALENs). Several moderate and high-throughput cloning methods are in place for assembling TAL effector-based genetic constructs. Targeting is complicated to an extent by a general requirement for thymine to precede the DNA target, a requirement of TALENs to bind paired opposing sites separated by a defined range of distances, differential contributions of different repeat types to overall affinity, and a polarity to mismatch tolerance. Several computational tools are available online to aid in design and the identification of candidate off-target binding sites, as well as assembly and implementation. These tools vary in their approaches, capabilities, and relative utility for different types of TAL effector applications. Accuracy of off-target prediction is not well characterized yet for any of the tools and will require a better understanding of the qualitative and quantitative variation in the nucleotide preferences of individual repeats. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:121 / 127
页数:7
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