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TAL Effector-Nucleotide Targeter (TALE-NT) 2.0: tools for TAL effector design and target prediction
- Source :
- Nucleic Acids Research
- Publication Year :
- 2012
-
Abstract
- 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.
- Subjects :
- Transcription Activator-Like Effectors
Repetitive Sequences, Amino Acid
Biology
Protein Engineering
Genome
03 medical and health sciences
User-Computer Interface
0302 clinical medicine
Genome editing
TAL effector
Genetics
030304 developmental biology
0303 health sciences
Transcription activator-like effector nuclease
Internet
Binding Sites
Effector
urogenital system
Gene targeting
DNA
Sequence Analysis, DNA
Articles
Plant disease
DNA-Binding Proteins
Trans-Activators
030217 neurology & neurosurgery
Algorithms
Software
Subjects
Details
- ISSN :
- 13624962
- Volume :
- 40
- Database :
- OpenAIRE
- Journal :
- Nucleic acids research
- Accession number :
- edsair.doi.dedup.....5b562b8e04dc233c14aa8ef5113f334c