Literature DB >> 24981075

Tools for TAL effector design and target prediction.

Nicholas J Booher1, Adam J Bogdanove2.   

Abstract

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.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bioinformatics; DNA targeting; Genome editing; Protein–DNA interactions; TALENs; Target prediction

Mesh:

Substances:

Year:  2014        PMID: 24981075      PMCID: PMC4175064          DOI: 10.1016/j.ymeth.2014.06.006

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  31 in total

1.  Targeting DNA double-strand breaks with TAL effector nucleases.

Authors:  Michelle Christian; Tomas Cermak; Erin L Doyle; Clarice Schmidt; Feng Zhang; Aaron Hummel; Adam J Bogdanove; Daniel F Voytas
Journal:  Genetics       Date:  2010-07-26       Impact factor: 4.562

2.  Live visualization of chromatin dynamics with fluorescent TALEs.

Authors:  Yusuke Miyanari; Céline Ziegler-Birling; Maria-Elena Torres-Padilla
Journal:  Nat Struct Mol Biol       Date:  2013-10-06       Impact factor: 15.369

3.  A simple cipher governs DNA recognition by TAL effectors.

Authors:  Matthew J Moscou; Adam J Bogdanove
Journal:  Science       Date:  2009-12-11       Impact factor: 47.728

4.  A TALE nuclease architecture for efficient genome editing.

Authors:  Jeffrey C Miller; Siyuan Tan; Guijuan Qiao; Kyle A Barlow; Jianbin Wang; Danny F Xia; Xiangdong Meng; David E Paschon; Elo Leung; Sarah J Hinkley; Gladys P Dulay; Kevin L Hua; Irina Ankoudinova; Gregory J Cost; Fyodor D Urnov; H Steve Zhang; Michael C Holmes; Lei Zhang; Philip D Gregory; Edward J Rebar
Journal:  Nat Biotechnol       Date:  2010-12-22       Impact factor: 54.908

5.  The crystal structure of TAL effector PthXo1 bound to its DNA target.

Authors:  Amanda Nga-Sze Mak; Philip Bradley; Raul A Cernadas; Adam J Bogdanove; Barry L Stoddard
Journal:  Science       Date:  2012-01-05       Impact factor: 47.728

Review 6.  TAL effectors: highly adaptable phytobacterial virulence factors and readily engineered DNA-targeting proteins.

Authors:  Erin L Doyle; Barry L Stoddard; Daniel F Voytas; Adam J Bogdanove
Journal:  Trends Cell Biol       Date:  2013-05-23       Impact factor: 20.808

7.  Iterative capped assembly: rapid and scalable synthesis of repeat-module DNA such as TAL effectors from individual monomers.

Authors:  Adrian W Briggs; Xavier Rios; Raj Chari; Luhan Yang; Feng Zhang; Prashant Mali; George M Church
Journal:  Nucleic Acids Res       Date:  2012-06-26       Impact factor: 16.971

8.  FLASH assembly of TALENs for high-throughput genome editing.

Authors:  Deepak Reyon; Shengdar Q Tsai; Cyd Khayter; Jennifer A Foden; Jeffry D Sander; J Keith Joung
Journal:  Nat Biotechnol       Date:  2012-05       Impact factor: 54.908

9.  Efficient design and assembly of custom TALEN and other TAL effector-based constructs for DNA targeting.

Authors:  Tomas Cermak; Erin L Doyle; Michelle Christian; Li Wang; Yong Zhang; Clarice Schmidt; Joshua A Baller; Nikunj V Somia; Adam J Bogdanove; Daniel F Voytas
Journal:  Nucleic Acids Res       Date:  2011-04-14       Impact factor: 16.971

10.  Identification of telomere-associated molecules by engineered DNA-binding molecule-mediated chromatin immunoprecipitation (enChIP).

Authors:  Toshitsugu Fujita; Yoshinori Asano; Junko Ohtsuka; Yoko Takada; Kazunobu Saito; Rieko Ohki; Hodaka Fujii
Journal:  Sci Rep       Date:  2013-11-08       Impact factor: 4.379

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  8 in total

1.  The Xa7 resistance gene guards the rice susceptibility gene SWEET14 against exploitation by the bacterial blight pathogen.

Authors:  Dangping Luo; Jose C Huguet-Tapia; R Taylor Raborn; Frank F White; Volker P Brendel; Bing Yang
Journal:  Plant Commun       Date:  2021-01-19

2.  The genome of the cotton bacterial blight pathogen Xanthomonas citri pv. malvacearum strain MSCT1.

Authors:  Kurt C Showmaker; Mark A Arick; Chuan-Yu Hsu; Brigitte E Martin; Xiaoqiang Wang; Jiayuan Jia; Martin J Wubben; Robert L Nichols; Tom W Allen; Daniel G Peterson; Shi-En Lu
Journal:  Stand Genomic Sci       Date:  2017-07-24

3.  TALEN based HPV-E7 editing triggers necrotic cell death in cervical cancer cells.

Authors:  Sumitra Shankar; Deepti Prasad; Rahul Sanawar; Ani V Das; M Radhakrishna Pillai
Journal:  Sci Rep       Date:  2017-07-14       Impact factor: 4.379

4.  PrediTALE: A novel model learned from quantitative data allows for new perspectives on TALE targeting.

Authors:  Annett Erkes; Stefanie Mücke; Maik Reschke; Jens Boch; Jan Grau
Journal:  PLoS Comput Biol       Date:  2019-07-11       Impact factor: 4.475

5.  Epigenetic features improve TALE target prediction.

Authors:  Annett Erkes; Stefanie Mücke; Maik Reschke; Jens Boch; Jan Grau
Journal:  BMC Genomics       Date:  2021-12-29       Impact factor: 3.969

6.  QueTAL: a suite of tools to classify and compare TAL effectors functionally and phylogenetically.

Authors:  Alvaro L Pérez-Quintero; Léo Lamy; Jonathan L Gordon; Aline Escalon; Sébastien Cunnac; Boris Szurek; Lionel Gagnevin
Journal:  Front Plant Sci       Date:  2015-08-03       Impact factor: 5.753

Review 7.  Engineering altered protein-DNA recognition specificity.

Authors:  Adam J Bogdanove; Andrew Bohm; Jeffrey C Miller; Richard D Morgan; Barry L Stoddard
Journal:  Nucleic Acids Res       Date:  2018-06-01       Impact factor: 16.971

8.  Efficient enrichment cloning of TAL effector genes from Xanthomonas.

Authors:  T T Tran; H Doucouré; M Hutin; L M Jaimes Niño; B Szurek; S Cunnac; R Koebnik
Journal:  MethodsX       Date:  2018-09-04
  8 in total

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