Evidence map›Paper›PMID 36369279›Full record

ArticleNature communications2022

SuperFi-Cas9 exhibits remarkable fidelity but severely reduced activity yet works effectively with ABE8e.

Péter István Kulcsár, András Tálas, Zoltán Ligeti, Sarah Laura Krausz, Ervin Welker

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. The evolution of AI-integrated genome editing and its challenges.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
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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

5 authors.

Péter István Kulcsár *Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.ORCID 0000-0002-7783-5108
András Tálas *Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.
Zoltán LigetiInstitute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.
Sarah Laura KrauszInstitute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.
Ervin WelkerInstitute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary. welker.ervin@ttk.hu.ORCID 0000-0001-9874-8794

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several advancements have been made to SpCas9, the most widely used CRISPR/Cas genome editing tool, to reduce its unwanted off-target effects. The most promising approach is the development of increased-fidelity nuclease (IFN) variants of SpCas9, however, their fidelity has increased at the cost of reduced activity. SuperFi-Cas9 has been developed recently, and it has been described as a next-generation high-fidelity SpCas9 variant, free from the drawbacks of first-generation IFNs. In this study, we characterize the on-target activity and the off-target propensity of SuperFi-Cas9 in mammalian cells, comparing it to first-generation IFNs. SuperFi-Cas9 demonstrates strongly reduced activity but high fidelity features that are in many aspects similar to those of some first-generation variants, such as evo- and HeFSpCas9. SuperFi-cytosine (CBE3) and -adenine (ABE7.10) base editors, as well as SuperFi-prime editor show no meaningful activity. When combined with ABE8e, SuperFi-Cas9, similarly to HeFSpCas9, executes DNA editing with high activity as well as high specificity reducing both bystander and SpCas9-dependent off-target base editing.

Indexed as

CRISPR-Cas SystemsGene EditingCytosineDNAEndonucleasesCytosineDNAEndonucleases

Identifiers

PMID36369279
PMCPMC9652449

What OpenQuestion holds

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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.