Evidence map›Paper›PMID 26750397›Full record

ReviewMolecular therapy : the journal of the American Society of Gene Therapy2016

Nuclease Target Site Selection for Maximizing On-target Activity and Minimizing Off-target Effects in Genome Editing.

Ciaran M Lee, Thomas J Cradick, Eli J Fine, Gang Bao

Abstract readReview
In one paragraph

Review in Molecular therapy : the journal of the American Society of Gene Therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–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

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Loop engineering improves prime editing efficiency.Molecular therapy. Nucleic acids · 2025
    Article
  4. Current Techniques of Gene Editing in Pigs for Xenotransplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Review
  5. Review
  6. Pharmacological interventions enhance virus-free generation ofMolecular therapy. Methods & clinical development · 2022
    Article
  7. Article
  8. Review
  9. Tips, Tricks, and Potential Pitfalls of CRISPR Genome Editing inFrontiers in bioengineering and biotechnology · 2022
    Review
  10. Computational Approaches for Designing Highly Specific and Efficient sgRNAs.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Multicellular Systems to Translate Somatic Cell Genome Editors to Humans.Current opinion in biomedical engineering · 2020
    Article
  18. Review
  19. Article
  20. Review
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

4 authors.

Ciaran M LeeDepartment of Bioengineering, Rice University, Houston, Texas, USA.
Thomas J CradickCRISPR Therapeutics, Cambridge, Massachusetts, USA.
Eli J FineCoyne Scientific, Atlanta, Georgia, USA.
Gang BaoDepartment of Bioengineering, Rice University, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid advancement in targeted genome editing using engineered nucleases such as ZFNs, TALENs, and CRISPR/Cas9 systems has resulted in a suite of powerful methods that allows researchers to target any genomic locus of interest. A complementary set of design tools has been developed to aid researchers with nuclease design, target site selection, and experimental validation. Here, we review the various tools available for target selection in designing engineered nucleases, and for quantifying nuclease activity and specificity, including web-based search tools and experimental methods. We also elucidate challenges in target selection, especially in predicting off-target effects, and discuss future directions in precision genome editing and its applications.

Indexed as

Binding SitesGene EditingGene TargetingGenomeAnimalsComputational BiologyCRISPR-Cas SystemsEndonucleasesGenomicsHumansProtein BindingWeb BrowserEndonucleases

Identifiers

PMID26750397
PMCPMC4786925

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.