Evidence map›Paper›PMID 24981075›Full record

ReviewMethods (San Diego, Calif.)2014

Tools for TAL effector design and target prediction.

Nicholas J Booher, Adam J Bogdanove

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. ThePlant communications · 2021
    Article
  3. Article
  4. A Pathovar ofFrontiers in plant science · 2019
    Article
  5. Review
  6. Article
  7. Article
  8. The genome of the cotton bacterial blight pathogenStandards in genomic sciences · 2017
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Nicholas J BooherPlant Pathology and Plant-Microbe Biology, 334 Plant Science, Cornell University, Ithaca, NY 14853, USA. Electronic address: njb98@cornell.edu.
Adam J BogdanovePlant Pathology and Plant-Microbe Biology, 334 Plant Science, Cornell University, Ithaca, NY 14853, USA. Electronic address: ajb7@cornell.edu.

Funding

DNA targeting by TAL effectorsR01GM098861 · NIGMS · IOWA STATE UNIVERSITY · PI BOGDANOVE, ADAM J, STODDARD, BARRY L. · 2011 to 2014
$2.0M
NIGMS NIH HHS R01 GM098861
6 · The paper itself

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.

Indexed as

AnimalsBinding SitesDNA-Binding ProteinsForecastingGene TargetingHumansDNA-Binding ProteinsBioinformaticsDNA targetingGenome editingProtein–DNA interactionsTALENsTarget prediction

Identifiers

PMID24981075
PMCPMC4175064

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.