Nucleic Acids Research · 2012 · 591 citations · 23 references
Life SciencesGeneticsMolecular BiologyGenome EditingGenomicsTranscriptional RegulationCrispr-cas SystemsEffector BiologyOff-target EffectsPlant Gene ExpressionPromoter DesignTarget Site SelectionEffector PolymorphismHost Gene ExpressionNucleasesSite-specific Gene TargetingTalen-mediated Genome EditingTarget Site RecognitionTranscription Activator-like EffectorsTranscription Factor Binding Site Design
Transcription activator-like (TAL) effectors are repeat-containing proteins used by plant pathogenic bacteria to manipulate host gene expression. Repeats are polymorphic and individually specify single nucleotides in the DNA target, with some degeneracy. A TAL effector-nucleotide binding code that links repeat type to specified nucleotide enables prediction of genomic binding sites for TAL effectors and customization of TAL effectors for use in DNA targeting, in particular as custom transcription factors for engineered gene regulation and as site-specific nucleases for genome editing. We have developed a suite of web-based tools called TAL Effector-Nucleotide Targeter 2.0 (TALE-NT 2.0; https://boglab.plp.iastate.edu/) that enables design of custom TAL effector repeat arrays for desired targets and prediction of TAL effector binding sites, ranked by likelihood, in a genome, promoterome or other sequence of interest. Search parameters can be set by the user to work with any TAL effector or TAL effector nuclease architecture. Applications range from designing highly specific DNA targeting tools and identifying potential off-target sites to predicting effector targets important in plant disease.
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Breaking the Code of DNA Binding Specificity of TAL-Type III Effectors
Jens Boch, Heidi Scholze, Sebastian Schornack et al. · Science · 2009 · 2.7K citations
A TALE nuclease architecture for efficient genome editing
Jeffrey C. Miller, Siyuan Tan, Guijuan Qiao et al. · Nature Biotechnology · 2010 · 2.1K citations
Targeting DNA Double-Strand Breaks with TAL Effector Nucleases
Michelle Christian, Tomáš Čermák, Erin Doyle et al. · Genetics · 2010 · 2K citations · Full text