The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Comparative characterization of Cas12f orthologs reveals mechanistic features underlying enhanced genome editing efficiency
Open accessPublished version of a preprint
Abstract
Miniature CRISPR–Cas12f nucleases are attractive candidates for therapeutic genome editing because of their compact size and compatibility with adeno-associated virus (AAV) delivery. However, editing efficiencies in mammalian cells are lower than those of larger systems. The extensive phylogenetic diversity of Cas12f suggests unexplored mechanistic variation with the potential for optimization. Here we identify and characterize a naturally occurring Cas12f ortholog discovered through metagenomics, Alistipes sp. Cas12f (Al3Cas12f), which supports robust genome editing in human cells. Through structural, biochemical and kinetic analyses, we compare Al3Cas12f to two recently described orthologs, Oscillibacter sp. Cas12f and Ruminiclostridium herbifermentans Cas12f. These orthologs present divergent architectures and regulatory features governing protospacer-adjacent motif recognition, guide RNA (gRNA) binding, dimerization and DNA cleavage. Notably, Al3Cas12f achieves efficient R-loop formation through a stable dimer interface and a naturally optimized gRNA. Leveraging these structural insights, we generate an engineered Al3Cas12f variant (RKK) that increases editing and improves activity across several tested genomic loci. By overcoming locus-dependent variability and an apparent potency threshold, this engineered compact editor seems to expand the feasibility of low-dose, AAV-compatible therapeutic genome editing. Our results elucidate mechanistic determinants of Cas12f activity and offer a framework for engineering compact genome editors that may bear therapeutic potential.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · cited 1×
“48) was fitted into the ternary complex map as a rigid body in ChimeraX 49 . gRNA was modeled on the basis of secondary-structure prediction and the gRNA architecture of AsCas12f.”
Automated model building and protein identification in cryo-EM maps
Jamali, K., Käll, L., Zhang, R., Brown, A., Kimanius, D., & Scheres, S. H. W. (2023) · doi:10.1101/2023.05.16.541002 · Cited by 686
The widespread IS200/IS605 transposon family encodes diverse programmable RNA-guided endonucleases
Altae-Tran, H., Kannan, S., Demircioglu, F. E., Oshiro, R., Nety, S. P., McKay, L. J., Dlakić, M., Inskeep, W. P., Makarova, K. S., Macrae, R. K., et al. (2021) · Science · doi:10.1126/science.abj6856 · Cited by 407
Flagged first, then by citations
Research works printed but not linked: 52
- Cong, L. et al. Multiplex genome engineering using CRISPR/Cas systems. Science 339, 819–823 (2013). · DOI · Paper page
- Hwang, W. Y. et al. Efficient genome editing in zebrafish using a CRISPR–Cas system. Nat. Biotechnol. 31, 227–229 (2013). · DOI · Paper page
- Feng, Z. et al. Efficient genome editing in plants using a CRISPR/Cas system. Cell Res. 23, 1229–1232 (2013). · DOI
- Jinek, M. et al. A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity. Science 337, 816–821 (2012). · DOI · Paper page
- Ran, F. A. et al. Genome engineering using the CRISPR–Cas9 system. Nat. Protoc. 8, 2281–2308 (2013). · DOI · Paper page
- Koonin, E. V., Gootenberg, J. S. & Abudayyeh, O. O. Discovery of diverse CRISPR–Cas systems and expansion of the genome engineering toolbox. Biochemistry 62, 3465–3487 (2023). · DOI
- Zetsche, B. et al. Cpf1 is a single RNA-guided endonuclease of a class 2 CRISPR–Cas system. Cell 163, 759–771 (2015). · DOI · Paper page
- Gier, R. A. et al. High-performance CRISPR–Cas12a genome editing for combinatorial genetic screening. Nat. Commun. 11, 3455 (2020). · DOI
- Tang, K. et al. Cas12a-knock-in mice for multiplexed genome editing, disease modelling and immune-cell engineering. Nat. Biomed. Eng 9, 1290–1308 (2025). · DOI
- Ma, E. et al. Improved genome editing by an engineered CRISPR–Cas12a. Nucleic Acids Res. 50, 12689–12701 (2022). · DOI · Paper page
- Fuentes, C. M. & Schaffer, D. V. Adeno-associated virus-mediated delivery of CRISPR–Cas9 for genome editing in the central nervous system. Curr. Opin. Biomed. Eng 7, 33–41 (2018). · DOI
- Karvelis, T. et al. PAM recognition by miniature CRISPR–Cas12f nucleases triggers programmable double-stranded DNA target cleavage. Nucleic Acids Res. 48, 5016–5023 (2020). · DOI
- Aliaga Goltsman, D. S. et al. Compact Cas9d and HEARO enzymes for genome editing discovered from uncultivated microbes. Nat. Commun. 13, 7602 (2022). · DOI
- Harrington, L. B. et al. Programmed DNA destruction by miniature CRISPR–Cas14 enzymes. Science 362, 839–842 (2018). · DOI
- Bigelyte, G. et al. Miniature type V-F CRISPR–Cas nucleases enable targeted DNA modification in cells. Nat. Commun. 12, 6191 (2021). · DOI
- Kong, X. et al. Engineered CRISPR–OsCas12f1 and RhCas12f1 with robust activities and expanded target range for genome editing. Nat. Commun. 14, 2046 (2023). · DOI
- Xiao, R., Li, Z., Wang, S., Han, R. & Chang, L. Structural basis for substrate recognition and cleavage by the dimerization-dependent CRISPR–Cas12f nuclease. Nucleic Acids Res. 49, 4120–4128 (2021). · DOI
- Takeda, S. N. et al. Structure of the miniature type V-F CRISPR–Cas effector enzyme. Mol. Cell 81, 558–570 (2021). · DOI
- Wu, T. et al. An engineered hypercompact CRISPR–Cas12f system with boosted gene-editing activity. Nat. Chem. Biol. 19, 1384–1393 (2023). · DOI
- Wu, Z. et al. Structure and engineering of miniature Acidibacillus sulfuroxidans Cas12f1. Nat. Catal. 6, 695–709 (2023). · DOI
- Su, M. et al. Molecular basis and engineering of miniature Cas12f with C-rich PAM specificity. Nat. Chem. Biol. 20, 180–189 (2024). · DOI
- Hino, T. et al. An AsCas12f-based compact genome-editing tool derived by deep mutational scanning and structural analysis. Cell 186, 4920–4935 (2023). · DOI
- Wu, Z. et al. Programmed genome editing by a miniature CRISPR–Cas12f nuclease. Nat. Chem. Biol. 17, 1132–1138 (2021). · DOI
- Zhang, X. et al. Engineered circular guide RNAs enhance miniature CRISPR/Cas12f-based gene activation and adenine base editing. Nat. Commun. 16, 3016 (2025). · DOI
- Madariaga-Marcos, J. et al. Structural and mechanistic insights into the sequential dsDNA cleavage by SpCas12f. Nucleic Acids Res. 53, gkaf588 (2025). · DOI
- Sharrar, A. et al. Discovery and characterization of novel type V Cas12f nucleases with diverse protospacer adjacent motif preferences. CRISPR J. 6, 350–358 (2023). · DOI
- Tordoff, J. et al. Initial characterization of 12 new subtypes and variants of type V CRISPR systems. CRISPR J. 8, 149–154 (2025). · DOI
- Stella, S. et al. Conformational activation promotes CRISPR–Cas12a catalysis and resetting of the endonuclease activity. Cell 175, 1856–1871 (2018). · DOI
- Zhang, H., Li, Z., Xiao, R. & Chang, L. Mechanisms for target recognition and cleavage by the Cas12i RNA-guided endonuclease. Nat. Struct. Mol. Biol. 27, 1069–1076 (2020). · DOI
- Kurihara, N. et al. Structure of the type V-C CRISPR–Cas effector enzyme. Mol. Cell 82, 1865–1877.e4 (2022). · DOI
- Gong, S., Yu, H. H., Johnson, K. A. & Taylor, D. W. DNA unwinding is the primary determinant of CRISPR–Cas9 activity. Cell Rep. 22, 359–371 (2018). · DOI
- Liu, M.-S., Gong, S., Yu, H.-H., Taylor, D. W. & Johnson, K. A. Kinetic characterization of Cas9 enzymes. Methods Enzymol. 616, 289–311 (2019). · DOI
- Johnson, K. A. Fitting enzyme kinetic data with KinTek Global Kinetic Explorer. Methods Enzymol. 467, 601–626 (2009). · DOI
- Johnson, K. A., Simpson, Z. B. & Blom, T. FitSpace Explorer: an algorithm to evaluate multidimensional parameter space in fitting kinetic data. Anal. Biochem. 387, 30–41 (2009). · DOI
- Ocampo, R. F. et al. DNA targeting by compact Cas9d and its resurrected ancestor. Nat. Commun. 16, 457 (2025). · DOI
- Hibshman, G. N. et al. Unraveling the mechanisms of PAMless DNA interrogation by SpRY-Cas9. Nat. Commun. 15, 3663 (2024). · DOI
- Liu, M.-S. et al. Engineered CRISPR/Cas9 enzymes improve discrimination by slowing DNA cleavage to allow release of off-target DNA. Nat. Commun. 11, 3576 (2020). · DOI
- Bravo, J. P. K. et al. Structural basis for mismatch surveillance by CRISPR–Cas9. Nature 603, 343–347 (2022). · DOI
- Pacesa, M. et al. R-loop formation and conformational activation mechanisms of Cas9. Nature 609, 191–196 (2022). · DOI
- Li, D., Liu, C.-M., Luo, R., Sadakane, K. & Lam, T.-W. MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph. Bioinformatics 31, 1674–1676 (2015). · DOI
- Hyatt, D. et al. Prodigal: prokaryotic gene recognition and translation initiation site identification. BMC Bioinformatics 11, 119 (2010). · DOI
- Menzel, P., Ng, K. L. & Krogh, A. Fast and sensitive taxonomic classification for metagenomics with Kaiju. Nat. Commun. 7, 11257 (2016). · DOI
- Alexander, L. M. et al. Novel and engineered type II CRISPR systems from uncultivated microbes with broad genome editing capability. CRISPR J. 6, 261–277 (2023). · DOI
- Passaro, S. et al. Boltz-2: towards accurate and efficient binding affinity prediction. Preprint at bioRxiv https://doi.org/10.1101/2025.06.14.659707 (2025). · DOI
- Mastronarde, D. N. Automated electron microscope tomography using robust prediction of specimen movements. J. Struct. Biol. 152, 36–51 (2005). · DOI
- Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290–296 (2017). · DOI · Paper page
- Pettersen, E. F. et al. UCSF ChimeraX: structure visualization for researchers, educators, and developers. Protein Sci. 30, 70–82 (2021). · DOI
- Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D Biol. Crystallogr. 66, 486–501 (2010). · DOI · Paper page
- Liebschner, D. et al. Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in PHENIX. Acta Crystallogr. D Struct. Biol. 75, 861–877 (2019). · DOI · Paper page
- Cianfrocco, M. A., Wong-Barnum, M., Youn, C., Wagner, R. & Leschziner, A. COSMIC2: a science gateway for cryo-electron microscopy structure determination. In Proc. Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact (ed. Hart, D.) (ACM, 2017). · DOI
- Croll, T. I. ISOLDE: a physically realistic environment for model building into low-resolution electron-density maps. Acta Crystallogr. D Struct. Biol. 74, 519–530 (2018). · DOI
- Sonn-Segev, A. et al. Quantifying the heterogeneity of macromolecular machines by mass photometry. Nat. Commun. 11, 1772 (2020). · DOI
Metadata
- Authors
- Guan, K., Ocampo, R. F., Matheus Carnevali, P. B., Castelle, C. J., Gonzalez-Osorio, L., Castanzo, D. T., Thomas, N. C., Brothers, M., Dangerfield, T. L., Hooper, M. M., West, M. S., Appleby, N. M., Krudop, I., Lamothe, R. C., Aliaga Goltsman, D. S., Alexander, L. M., Butterfield, C. N., Johnson, K. A., Brown, C. T., & Taylor, D. W.
- Affiliations
- The University of Texas at Austin (US)
- University of Nevada, Las Vegas (US)
- Corresponding author
- Taylor, David W.
- ORCID
- Venue
- Nature Structural & Molecular Biology
- Published
- 2026-04-13
- Volume
- 33
- Issue
- 5
- Pages
- 756-767
- ISSN
- 1545-9985 (ISSN-L)
- 1545-9993
- OpenAlex
- W4413348174
- Cited by
- 5
- References
- 3
- Citations by year
- 2026: 5
- FWCI
- 10.33
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature Structural & Molecular Biology (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- Funders
- University of Texas at Austin
- National Institutes of Health (F-1938)
- National Institute of General Medical Sciences (R35GM138348, R35GM158551)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Health Sciences › Medicine › Oncology › CAR-T cell therapy research
- Keywords
- genome editing efficiency, R-loop formation, therapeutic genome editing
- MeSH terms
- Eubacteriales, Gene Editing, R-Loop Structures, RNA, Guide, CRISPR-Cas Systems, Humans, Models, Molecular, HEK293 Cells, CRISPR-Cas Systems, CRISPR-Associated Proteins
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review