Evidence map›Paper›PMID 28985763›Full record

ArticleGenome biology2017

Crossing enhanced and high fidelity SpCas9 nucleases to optimize specificity and cleavage.

Péter István Kulcsár, András Tálas, Krisztina Huszár, Zoltán Ligeti, Eszter Tóth, Nóra Weinhardt, Elfrieda Fodor, Ervin Welker

Abstract read
In one paragraph

Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing 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

87 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Wheat's Up with CRISPR-Cas-Current Advances, Obstacles and Perspectives.International journal of molecular sciences · 2026
    Review
  5. CRISPR Gene Tagging for Illuminating Endogenous Protein Dynamics.International journal of molecular sciences · 2026
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Precise gene editing of pathogenic Lamin A mutations corrects cardiac disease.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Review
  14. Review
  15. Review
  16. Harnessing the evolving CRISPR/Cas9 for precision oncology.Journal of translational medicine · 2024
    Review
  17. Article
  18. Engineering Cas9: next generation of genomic editors.Applied microbiology and biotechnology · 2024
    Review
  19. Review
  20. Review

27 more citing papers are in PubMed but not listed here.

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

8 authors.

Péter István KulcsárInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
András TálasInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Krisztina HuszárInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Zoltán LigetiInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Eszter TóthInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Nóra WeinhardtInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary.
Elfrieda FodorInstitute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged, Hungary.
Ervin WelkerInstitute of Enzymology, Research Centre for Natural Sciences of the Hungarian Academy of Sciences, Budapest, Hungary. welker.ervin@ttk.mta.hu.ORCID 0000-0001-9874-8794

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe propensity for off-target activity of Streptococcus pyogenes Cas9 (SpCas9) has been considerably decreased by rationally engineered variants with increased fidelity (eSpCas9; SpCas9-HF1). However, a subset of targets still generate considerable off-target effects. To deal specifically with these targets, we generated new "Highly enhanced Fidelity" nuclease variants (HeFSpCas9s) containing mutations from both eSpCas9 and SpCas9-HF1 and examined these improved nuclease variants side by side to decipher the factors that affect their specificities and to determine the optimal nuclease for applications sensitive to off-target effects.

resultsThese three increased-fidelity nucleases can routinely be used only with perfectly matching 20-nucleotide-long spacers, a matching 5' G extension being more detrimental to their activities than a mismatching one. HeFSpCas9 exhibit substantially improved specificity for those targets for which eSpCas9 and SpCas9-HF1 have higher off-target propensity. The targets can also be ranked by their cleavability and off-target effects manifested by the increased fidelity nucleases. Furthermore, we show that the mutations in these variants may diminish the cleavage, but not the DNA-binding, of SpCas9s.

conclusionsNo single nuclease variant shows generally superior fidelity; instead, for highest specificity cleavage, each target needs to be matched with an appropriate high-fidelity nuclease. We provide here a framework for generating new nuclease variants for targets that currently have no matching optimal nuclease, and offer a simple means for identifying the optimal nuclease for targets in the absence of accurate target-ranking prediction tools.

Indexed as

DNA CleavageBacterial ProteinsCRISPR-Associated Protein 9DNAEndonucleasesMutationProtein BindingRNASubstrate SpecificityBacterial ProteinsCas9 endonuclease Streptococcus pyogenesCRISPR-Associated Protein 9DNAEndonucleasesRNACas9CRISPRDisruption assayeSpCas9Extended sgRNAHeFm2SpCas9HeFSpCas9High fidelity nucleaseOff-targetsgRNASpCas9-HF1Truncated sgRNA

Identifiers

PMID28985763
PMCPMC6389135

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Registered trials

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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.