Evidence map›Paper›PMID 24003033›Full record

ArticleNucleic acids research2013

E-TALEN: a web tool to design TALENs for genome engineering.

Florian Heigwer, Grainne Kerr, Nike Walther, Kathrin Glaeser, Oliver Pelz, Marco Breinig, Michael Boutros

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Nuclease Target Site Selection for Maximizing On-target Activity and Minimizing Off-target Effects in Genome Editing.Molecular therapy : the journal of the American Society of Gene Therapy · 2016
    Review
  12. Designed nucleases for targeted genome editing.Plant biotechnology journal · 2016
    Review
  13. Article
  14. Review
  15. TALEN-mediated genome engineering to generate targeted mice.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2015
    Review
  16. TAL effectors: tools for DNA targeting.Briefings in functional genomics · 2014
    Article
  17. Tools for TAL effector design and target prediction.Methods (San Diego, Calif.) · 2014
    Review
  18. Article
  19. Article
  20. 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

7 authors.

Florian HeigwerGerman Cancer Research Center (DKFZ), Division of Signaling and Functional Genomics and Heidelberg University, Department of Cell and Molecular Biology, Medical Faculty Mannheim, D-69120 Heidelberg, Germany.
Grainne Kerr
Nike Walther
Kathrin Glaeser
Oliver Pelz
Marco Breinig
Michael Boutros

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Use of transcription activator-like effector nucleases (TALENs) is a promising new technique in the field of targeted genome engineering, editing and reverse genetics. Its applications span from introducing knockout mutations to endogenous tagging of proteins and targeted excision repair. Owing to this wide range of possible applications, there is a need for fast and user-friendly TALEN design tools. We developed E-TALEN (http://www.e-talen.org), a web-based tool to design TALENs for experiments of varying scale. E-TALEN enables the design of TALENs against a single target or a large number of target genes. We significantly extended previously published design concepts to consider genomic context and different applications. E-TALEN guides the user through an end-to-end design process of de novo TALEN pairs, which are specific to a certain sequence or genomic locus. Furthermore, E-TALEN offers a functionality to predict targeting and specificity for existing TALENs. Owing to the computational complexity of many of the steps in the design of TALENs, particular emphasis has been put on the implementation of fast yet accurate algorithms. We implemented a user-friendly interface, from the input parameters to the presentation of results. An additional feature of E-TALEN is the in-built sequence and annotation database available for many organisms, including human, mouse, zebrafish, Drosophila and Arabidopsis, which can be extended in the future.

Indexed as

Genetic EngineeringSoftwareAnimalsBinding SitesDeoxyribonucleases, Type II Site-SpecificDNA-Binding ProteinsGene TargetingGenomicsHumansInternetMiceSequence Analysis, DNADeoxyribonucleases, Type II Site-SpecificDNA-Binding Proteinsendodeoxyribonuclease FokI

Identifiers

PMID24003033
PMCPMC3814377

What OpenQuestion holds

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LicenceCC BY-NC
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.