ArticleNature structural & molecular biology2026
Improving the efficiency of high-fidelity Cas9 by enhancing PAM-distal interactions.
Article in Nature structural & molecular biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed.
- Compact 9dBEs Enable Efficient and Precise Genome Editing in Mammalian Cells and In Vivo.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- On-target and off-target activities of CRISPR therapeutics across scales.Trends in biotechnology · 2026Review
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Engineering CRISPR enzymes for high fidelity often impairs cleavage activity. Meanwhile, a mechanistic understanding of why high-fidelity mutations reduce Cas9's cleavage activity remains unclear, presenting a challenge in balancing nuclease specificity and efficiency for clinical applications. In this study, we show that extending the spacer region to 21 or 22 nucleotides restores the impaired cleavage activity of SuperFi-Cas9, a high-fidelity Cas9 variant with 7 mutations in the RuvC domain at the protospacer adjacent motif (PAM)-distal region. Cryo-electron microscopy structures and mutational analyses reveal that the negatively charged mutations in a protruding loop of the RuvC domain create repulsive forces that destabilize the nuclease-single guide (sg)RNA-DNA complex. Spacer extension enhances interactions in the PAM-distal region, effectively restoring cleavage activity and balancing editing efficiency with specificity. In addition, we develop a deep learning model, AIdit-SuperFi, to predict optimal sgRNA length for high-fidelity genome editing. Our findings introduce a straightforward strategy to enhance CRISPR complex stability and provide mechanistic insights into the impaired cleavage activity of engineered high-fidelity Cas9, presenting a pathway toward precise and efficient genome editing and clinical translation of CRISPR technologies.
Indexed as
Identifiers
41851507What OpenQuestion holds
Registered trials
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.