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Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage
Open accessAbstract
Current genome-editing technologies introduce double-stranded (ds) DNA breaks at a target locus as the first step to gene correction. Although most genetic diseases arise from point mutations, current approaches to point mutation correction are inefficient and typically induce an abundance of random insertions and deletions (indels) at the target locus resulting from the cellular response to dsDNA breaks. Here we report the development of 'base editing', a new approach to genome editing that enables the direct, irreversible conversion of one target DNA base into another in a programmable manner, without requiring dsDNA backbone cleavage or a donor template. We engineered fusions of CRISPR/Cas9 and a cytidine deaminase enzyme that retain the ability to be programmed with a guide RNA, do not induce dsDNA breaks, and mediate the direct conversion of cytidine to uridine, thereby effecting a C→T (or G→A) substitution. The resulting 'base editors' convert cytidines within a window of approximately five nucleotides, and can efficiently correct a variety of point mutations relevant to human disease. In four transformed human and murine cell lines, second- and third-generation base editors that fuse uracil glycosylase inhibitor, and that use a Cas9 nickase targeting the non-edited strand, manipulate the cellular DNA repair response to favour desired base-editing outcomes, resulting in permanent correction of ~15-75% of total cellular DNA with minimal (typically ≤1%) indel formation. Base editing expands the scope and efficiency of genome editing of point mutations.
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“An alternative approach is to use CRISPR-Cas9 coupled to DNA editing enzymes that catalyze targeted A-to-G or Cto-T genomic sequence changes without inducing a break in DNA, potentially reversing pathogenic single-nucleotide changes or disabling genes via the introduction of a stop codon 25,26 .”
From The promise and challenge of therapeutic genome editing (2020) · cites this paper as [25]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Base editors are one such tool, which couple Cas9 nickases with nucleotide deaminases to achieve single nucleotide conversion without introducing DSBs.”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Komor et al., 2016
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The discovery of spontaneous hydrolytic deamination of cytosine converting C-G base pairs to T-A in humans highlighted the potential of base editing for direct base pair conversion without requiring double-strand breaks or homology repair templates (Komor, et al., 2016).”
From Emerging applications of gene editing technologies for the development of climate-resilient crops (2025) · cites this paper as Komor, et al., 2016
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Next-generation CRISPR tools, such as base editors, use enzymes like cytidine or adenine deaminases fused to Cas9 to introduce single nucleotide variants (SNVs) without DSBs.12,13”
From Protocol to create isogenic disease models from adult stem cell-derived organoids using next-generation CRISPR tools (2024) · cites this paper as [12]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In the same paper, with enhanced third-generation base editors, Komor et al. achieved >30-fold greater editing efficiency in various human cell lines when compared to HDR-mediated Cas9 editing, with fewer indel formation.”
From CRISPR-Cas: Converting A Bacterial Defence Mechanism into A State-of-the-Art Genetic Manipulation Tool (2019) · cites this paper as [82]
Experimental — accuracy not yet measured
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In the citing paper
“Alternatives to DNA cleavage-induced editing include using CRISPR-Cas9 for direct chemical sequence alteration (base editing) 25,26 , providing RNA templates for gene alteration (prime editing) 27,28 , and for transcriptional control (CRISPR interference, CRISPRi; CRISPR activation, CRISPRa) 29,30 (Fig. 3).”
From The promise and challenge of therapeutic genome editing (2020) · cites this paper as [25]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“CBE converts cytosine to thymine”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Komor et al., 2016
The cited source says what the claim attributes to it.
In the citing paper
“First-generation base editors had limitations such as low efficiency and base excision repair (BER) activity that reversed edits (Komor et al., 2016).”
From Emerging applications of gene editing technologies for the development of climate-resilient crops (2025) · cites this paper as Komor et al., 2016
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In the citing paper
“Second-generation editors, such as APOBEC-XTEN-dCas9-UGI, added an uracil DNA glycosylase inhibitor (UGI) to improve C-to-T conversion (Komor et al., 2016) but still had <0.1% indel formation, limiting precision (Azameti and Dauda, 2021).”
From Emerging applications of gene editing technologies for the development of climate-resilient crops (2025) · cites this paper as Komor et al., 2016
The cited source says what the claim attributes to it.
In the citing paper
“Fusion of a cytidine deaminase (rAPOBEC1) to a partially inactive nickase-Cas9(D10A) protein results in a cytidine base editor (CBE) that allows for C > T base changes via a uracil intermediate28”
From One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids (2023) · cites this paper as [28]
The cited source says what the claim attributes to it.
In the citing paper
“Coupling this Cas9n or dCas9, the catalytically “dead” variant of Cas9, with a cytidine deaminase enzyme enables the gRNA-mediated deamination of cytosine (C) bases in the non-target DNA strand into uracil (U), which shares the base-pairing properties of thymine (T) [82].”
From CRISPR-Cas: Converting A Bacterial Defence Mechanism into A State-of-the-Art Genetic Manipulation Tool (2019) · cites this paper as [82]
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In the citing paper
“The second study used CRISPR-Cas9-mediated genome editing to remove a mutation in exon 23 in the mdx mouse model of DMD, providing partial recovery of functional dystrophin protein in skeletal myofibers and cardiac muscle 25,26,49 .”
From The promise and challenge of therapeutic genome editing (2020) · cites this paper as [25]
Experimental — accuracy not yet measuredThe check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“ABE catalyzes the editing from adenine to guanine”
From Off-target effects in CRISPR/Cas9 gene editing (2023) · cites this paper as Komor et al., 2016
Experimental — accuracy not yet measuredIn the citing paper
“Variations on these methods enable the functional evaluation of genes (via knockout screens124), regulatory elements (using CRISPR interference and CRISPR activation screens125,126), and genetic variants (base editors127) at increasing scale and resolution29.”
From A brief history of human disease genetics (2020) · cites this paper as [127]
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Citations
Cites
A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity
Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J. A., & Charpentier, E. (2012) · Science · doi:10.1126/science.1225829 · Cited by 17,116
Multiplex Genome Engineering Using CRISPR/Cas Systems
Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339
Genome engineering using the CRISPR-Cas9 system
Ran, F. A., Hsu, P. D., Wright, J., Agarwala, V., Scott, D. A., & Zhang, F. (2013) · Nature Protocols · doi:10.1038/nprot.2013.143 · Cited by 11,133
Shrestha, S., & Offer, S. M. (2016) · Medical Epigenetics · doi:10.1159/000444713 · Cited by 8,951
CRISPR-Cas systems for editing, regulating and targeting genomes
Sander, J. D., & Joung, J. K. (2014) · Nature Biotechnology · doi:10.1038/nbt.2842 · Cited by 3,153
ClinVar: public archive of interpretations of clinically relevant variants
Landrum, M. J., Lee, J. M., Benson, M., Brown, G., Chao, C., Chitipiralla, S., Gu, B., Hart, J., Hoffman, D., Hoover, J., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1222 · Cited by 2,758
High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects
Kleinstiver, B. P., Pattanayak, V., Prew, M. S., Tsai, S. Q., Nguyen, N. T., Zheng, Z., & Joung, J. K. (2016) · Nature · doi:10.1038/nature16526 · Cited by 2,673
Rationally engineered Cas9 nucleases with improved specificity
Slaymaker, I. M., Gao, L., Zetsche, B., Scott, D. A., Yan, W. X., & Zhang, F. (2016) · Science · doi:10.1126/science.aad5227 · Cited by 2,414
GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases
Tsai, S. Q., Zheng, Z., Nguyen, N. T., Liebers, M., Topkar, V. V., Thapar, V., Wyvekens, N., Khayter, C., Iafrate, A. J., Le, L. P., et al. (2015) · Nature Biotechnology · doi:10.1038/nbt.3117 · Cited by 2,268
Mali, P., Aach, J., Stranges, P. B., Esvelt, K. M., Moosburner, M., Kosuri, S., Yang, L., & Church, G. M. (2013) · Nature Biotechnology · doi:10.1038/nbt.2675 · Cited by 1,752
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Li, M., Shi, M., Li, Y., Xie, G., Rao, X., Wu, D., Cheng, A., Niu, M., Xu, F., Yu, Y., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36600-2 · Cited by 65
Taemaitree, L., Shivalingam, A., El-Sagheer, A. H., & Brown, T. P. (2019) · Nature Communications · doi:10.1038/s41467-019-09600-4 · Cited by 61
Combinatorial mutagenesis en masse optimizes the genome editing activities of SpCas9
Choi, G. C. G., Zhou, P., Yuen, C. T. L., Chan, B. K. C., Xu, F., Bao, S., Chu, H. Y., Thean, D., Tan, K., Wong, K. H., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0473-0 · Cited by 63
CRISPR system: Discovery, development and off-target detection
Chen, S., Yao, Y., Zhang, Y., & Fan, G. (2020) · Cellular Signalling · doi:10.1016/j.cellsig.2020.109577 · Cited by 60
Prime Editing Technology and Its Prospects for Future Applications in Plant Biology Research
Hassan, M. M., Yuan, G., Chen, J., Tuskan, G. A., & Yang, X. (2020) · BioDesign Research · doi:10.34133/2020/9350905 · Cited by 63
Yang, L., Zhang, X., Wang, L., Yin, S., Zhu, B., Xie, L., Duan, Q., Hu, H., Zheng, R., Yu, W., et al. (2019) · Protein & Cell · doi:10.1007/s13238-019-0631-2 · Cited by 61
CRISPR/Cascade 9-Mediated Genome Editing-Challenges and Opportunities
Roy, B., Zhao, J. C., Yang, C., Luo, W., Xiong, T., Li, Y., Fang, X., Gao, G., Singh, C. O., Madsen, L., et al. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00240 · Cited by 61
GO: a functional reporter system to identify and enrich base editing activity
Katti, A., Foronda, M., Zimmerman, J., Diaz, B. J., Zafra, M. P., Goswami, S., & Dow, L. E. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa124 · Cited by 60
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Hong, S.-A., Kim, S., Lee, A.-Y., Hwang, G., Kim, J. H., Iwata, H., Kim, S., Bae, S., & Lee, S. E. (2022) · Molecular Therapy · doi:10.1016/j.ymthe.2022.06.005 · Cited by 64
HDAC inhibitors improve CRISPR-Cas9 mediated prime editing and base editing
Liu, N., Zhou, L., Lin, G., Hu, Y. F., Jiao, Y., Wang, Y., Liu, J., Yang, S., & Yao, S. (2022) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2022.05.036 · Cited by 60
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Zhu, M., Xu, R., Yuan, J., Wang, J., Ren, X., Cong, T., You, Y., Ju, A., Xu, L., Wang, H., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-024-02307-y · Cited by 62
Emerging trends in prime editing for precision genome editing
Lee, J., Kweon, J., & Kim, Y. (2025) · Experimental & Molecular Medicine · doi:10.1038/s12276-025-01463-8 · Cited by 70
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Black, J. B., Pérez‐Piñera, P., & Gersbach, C. A. (2017) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071516-044649 · Cited by 60
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Chari, R., & Church, G. M. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2017.59 · Cited by 60
CRISPR–Cas9D10A nickase‐assisted base editing in the solvent producer Clostridium beijerinckii
Li, Q., Seys, F. M., Minton, N. P., Yang, J., Jiang, Y., Jiang, W., & Yang, S. (2019) · Biotechnology and Bioengineering · doi:10.1002/bit.26949 · Cited by 60
Wang, J., Zhang, C., & Feng, B. (2020) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.15039 · Cited by 61
Delivery Approaches for Therapeutic Genome Editing and Challenges
Ates, I., Rathbone, T., Stuart, C., Bridges, P. H., & Cottle, R. N. (2020) · Genes · doi:10.3390/genes11101113 · Cited by 63
Cas9 deactivation with photocleavable guide RNAs
Zou, R. S., Liu, Y., Wu, B., & Ha, T. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.02.007 · Cited by 61
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Massaro, G., Geard, A. F., Liu, W., Coombe-Tennant, O., Waddington, S. N., Baruteau, J., Gissen, P., & Rahim, A. A. (2021) · Biomolecules · doi:10.3390/biom11040611 · Cited by 64
PAM-flexible genome editing with an engineered chimeric Cas9
Zhao, L., Koseki, S. R. T., Silverstein, R. A., Amrani, N., Peng, C., Kramme, C., Savic, N., Pacesa, M., Rodríguez, T. C., Stan, T., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41829-y · Cited by 59
Annunziato, S., Lutz, C., Henneman, L., Bhin, J., Wong, K., Siteur, B., van Gerwen, B., de Korte‐Grimmerink, R., Zafra, M. P., Schatoff, E. M., et al. (2020) · The EMBO Journal · doi:10.15252/embj.2019102169 · Cited by 62
Evolution and Application of Genome Editing Techniques for Achieving Food and Nutritional Security
Fiaz, S., Ahmar, S., Saeed, S., Riaz, A., Mora, F., & Jung, K. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22115585 · Cited by 61
Hepatocyte organoids and cell transplantation: What the future holds
Peng, W. C., Kraaier, L. J., & Kluiver, T. A. (2021) · Experimental & Molecular Medicine · doi:10.1038/s12276-021-00579-x · Cited by 62
Synthetic biology toolkit for engineering Cupriviadus necator H16 as a platform for CO2 valorization
Pan, H., Wang, J., Wu, H., Li, Z., & Lian, J. (2021) · Biotechnology for Biofuels · doi:10.1186/s13068-021-02063-0 · Cited by 61
The power and the promise of CRISPR/Cas9 genome editing for clinical application with gene therapy
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Predicting base editing outcomes using position-specific sequence determinants
Pallaseni, A., Peets, E. M., Koeppel, J., Weller, J., Vanderstichele, T., Ho, U. L., Crepaldi, L., van Leeuwen, J. S., Allen, F., & Parts, L. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac161 · Cited by 59
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Biswas, S., Bridgeland, A., Irum, S., Thomson, M. J., & Septiningsih, E. M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23179809 · Cited by 59
Kocsisova, Z., & Coneva, V. (2023) · Frontiers in Genome Editing · doi:10.3389/fgeed.2023.1209586 · Cited by 59
AAV for Gene Therapy in Ocular Diseases: Progress and Prospects
He, X., Fu, Y., Ma, L., Yao, Y., Ge, S., Yang, Z. H., & Fan, X. (2023) · Research · doi:10.34133/research.0291 · Cited by 66
Progress in gene editing tools, implications and success in plants: a review
Bhuyan, S. J., Kumar, M., Devde, P. R., Rai, A. C., Mishra, A. K., Singh, P. K., & Siddique, K. H. M. (2023) · Frontiers in Genome Editing · doi:10.3389/fgeed.2023.1272678 · Cited by 61
High-fidelity SaCas9 identified by directional screening in human cells
Xie, H., Ge, X., Yang, F., Wang, B., Li, S., Duan, J., Lv, X., Cheng, C., Song, Z., Liu, C., et al. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000747 · Cited by 59
Progresses, Challenges, and Prospects of Genome Editing in Soybean (Glycine max)
Xu, H., Zhang, L., Zhang, K., & Ran, Y. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.571138 · Cited by 60
Chennakesavulu, K., Singh, H., Trivedi, P. K., Jain, M., & Yadav, S. R. (2022) · Plant Cell Reports · doi:10.1007/s00299-021-02681-w · Cited by 60
CRISPR/Cas systems: opportunities and challenges for crop breeding
Biswas, S., Zhang, D., & Shi, J. (2021) · Plant Cell Reports · doi:10.1007/s00299-021-02708-2 · Cited by 58
Current Advancements and Limitations of Gene Editing in Orphan Crops
Venezia, M., & Krainer, K. M. C. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.742932 · Cited by 58
The Role of Recombinant AAV in Precise Genome Editing
Bijlani, S., Pang, K. M., Sivanandam, V., Singh, A., & Chatterjee, S. (2022) · Frontiers in Genome Editing · doi:10.3389/fgeed.2021.799722 · Cited by 63
de Boer, R. A., Heymans, S. R. B., Backs, J., Carrier, L., Coats, A. J. S., Dimmeler, S., Eschenhagen, T., Filippatos, G. S., Gepstein, L., Hulot, J., et al. (2021) · European Journal of Heart Failure · doi:10.1002/ejhf.2414 · Cited by 59
WT-PE: Prime editing with nuclease wild-type Cas9 enables versatile large-scale genome editing
Tao, R. X., Wang, Y., Hu, Y. F., Jiao, Y., Zhou, L., Jiang, L., Li, L., He, X., Li, M., Yu, Y., et al. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00936-w · Cited by 58
Current status and trends in forest genomics
Borthakur, D., Busov, V. B., Cao, H. X., Du, Q., Gailing, O., Işik, F., Ko, J., Li, C., Li, Q., Niu, S., et al. (2022) · Forestry Research · doi:10.48130/fr-2022-0011 · Cited by 58
Chien, Y., Hsiao, Y., Chou, S., Lin, T.-Y., Yarmishyn, A. A., Lai, W., Lee, M., Lin, Y., Lin, T.-W., Hwang, D., et al. (2022) · Journal of Nanobiotechnology · doi:10.1186/s12951-022-01717-x · Cited by 59
A prime editor mouse to model a broad spectrum of somatic mutations in vivo
Ely, Z. A., Mathey‐Andrews, N., Naranjo, S., Gould, S. I., Mercer, K. L., Newby, G. A., Cabana, C. M., Rideout, W. M., Jaramillo, G. C., Khirallah, J., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-023-01783-y · Cited by 63
Self-citationNanobiomaterial vectors for improving gene editing and gene therapy
Hu, S. W., Ding, T., Tang, H., Guo, H., Cui, W., & Shu, Y. (2023) · Materials Today · doi:10.1016/j.mattod.2023.04.011 · Cited by 58
A review on CRISPR/Cas: a versatile tool for cancer screening, diagnosis, and clinic treatment
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Hou, P., del Agua, N. T., Lwin, S. M., Hsu, C., & McGrath, J. A. (2023) · Therapeutics and Clinical Risk Management · doi:10.2147/tcrm.s386923 · Cited by 60
Revolutionising health care: Exploring the latest advances in medical sciences
Mahara, G., Tian, C., Xu, X., & Wang, W. (2023) · Journal of Global Health · doi:10.7189/jogh.13.03042 · Cited by 65
Wu, Y., Wan, X., Zhao, D., Chen, X., Wang, Y., Tang, X., Li, J., Li, S., Sun, X., Bi, C., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40655-6 · Cited by 59
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Chen, L., Liu, G., & Zhang, T. (2024) · aBIOTECH · doi:10.1007/s42994-023-00133-5 · Cited by 60
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Wu, F., Li, N., Xiao, Y., Palanki, R., Yamagata, H. M., Mitchell, M. J., & Han, X. (2025) · Small Methods · doi:10.1002/smtd.202401632 · Cited by 64
Park, A., Hong, P. W.-P., Won, S. T., Thibault, P. A., Vigant, F., Oguntuyo, K. Y., Taft, J. D., & Lee, B. (2016) · Molecular Therapy — Methods & Clinical Development · doi:10.1038/mtm.2016.57 · Cited by 60
CRISPR/Cas9-mediated genome editing in plants
Liu, X., Xie, C., Si, H., & Yang, J. (2017) · Methods · doi:10.1016/j.ymeth.2017.03.009 · Cited by 63
Rational Design of Mini-Cas9 for Transcriptional Activation
Ma, D., Peng, S., Huang, W., Cai, Z., & Xie, Z. (2018) · ACS Synthetic Biology · doi:10.1021/acssynbio.7b00404 · Cited by 59
Imkeller, K., Ambrosi, G., Boutros, M., & Huber, W. K. (2020) · Genome biology · doi:10.1186/s13059-020-1939-1 · Cited by 58
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Veillet, F., Durand, M., Kroj, T., Césari, S., & Gallois, J. (2020) · Plant Communications · doi:10.1016/j.xplc.2020.100102 · Cited by 60
Wei, C., Wang, C., Jia, M., Guo, H., Luo, P., Wang, M., Zhu, J., & Zhang, H. (2021) · Journal of Integrative Plant Biology · doi:10.1111/jipb.13089 · Cited by 58
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In vivo functional screening for systems-level integrative cancer genomics
Weber, J., Braun, C. J., Saur, D., & Rad, R. (2020) · Nature reviews. Cancer · doi:10.1038/s41568-020-0275-9 · Cited by 60
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Open-ended molecular recording of sequential cellular events into DNA
Loveless, T. B., Carlson, C. K., Helmy, C. A. D., Hu, V. J., Ross, S. K., Demelo, M. C., Murtaza, A., Liang, G., Ficht, M., Singhai, A., et al. (2024) · Nature Chemical Biology · doi:10.1038/s41589-024-01764-5 · Cited by 61
Donovan, K. F., Hegde, M., Sullender, M. E., Vaimberg, E. W., Johannessen, C. M., Root, D. E., & Doench, J. G. (2017) · PLoS ONE · doi:10.1371/journal.pone.0170445 · Cited by 57
Klompe, S. E., & Sternberg, S. H. (2018) · The CRISPR Journal · doi:10.1089/crispr.2018.0012 · Cited by 57
Precision gene editing technology and applications in nephrology
WareJoncas, Z., Campbell, J. M., Martínez‐Gálvez, G., Gendron, W. A. C., Barry, M. A., Harris, P. C., Sussman, C. R., & Ekker, S. C. (2018) · Nature Reviews Nephrology · doi:10.1038/s41581-018-0047-x · Cited by 61
Zhang, H., Pan, H., Zhou, C., Yu, W., Ying, W., Li, S., Wang, G., Li, C., Ren, Y., Li, G., et al. (2018) · Development · doi:10.1242/dev.168906 · Cited by 58
Diakatou, M., Manès, G., Bocquet, B., Meunier, I., & Kalatzis, V. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20102542 · Cited by 59
Bae, S., Park, B. G., Kim, B., & Hahn, J. (2019) · Biotechnology Journal · doi:10.1002/biot.201900238 · Cited by 57
SNP-CRISPR: A Web Tool for SNP-Specific Genome Editing
Chen, C., Rodiger, J., Chung, V., Viswanatha, R., Mohr, S. E., Hu, Y., & Perrimon, N. (2019) · G3 Genes Genomes Genetics · doi:10.1534/g3.119.400904 · Cited by 57
Cytosine base editor 4 but not adenine base editor generates off-target mutations in mouse embryos
Lee, H., Smith, H. E., Liu, C., Willi, M., & Hennighausen, L. G. (2020) · Communications Biology · doi:10.1038/s42003-019-0745-3 · Cited by 61
BEAT: A Python program to quantify base editing from Sanger sequencing
Xu, L., Liu, Y., & Han, R. (2019) · The CRISPR Journal · doi:10.1089/crispr.2019.0017 · Cited by 56
Highly efficient base editing in human tripronuclear zygotes
Zhou, C., Zhang, M., Yu, W., Sun, Y., Sun, Y. W., Pan, H., Yao, N., Zhong, W., Li, Y., Li, W., et al. (2017) · Protein & Cell · doi:10.1007/s13238-017-0459-6 · Cited by 56
Advances on systems metabolic engineering of Bacillus subtilis as a chassis cell
Xiang, M., Kang, Q. K., & Zhang, D. (2020) · Synthetic and Systems Biotechnology · doi:10.1016/j.synbio.2020.07.005 · Cited by 58
Mudd‐Martin, G., Cirino, A. L., Barcelona, V., Fox, K., Hudson, M. L., Sun, Y. V., Taylor, J. Y., & Cameron, V. A. (2021) · Circulation Genomic and Precision Medicine · doi:10.1161/hcg.0000000000000084 · Cited by 57
Stargardt disease and progress in therapeutic strategies
Huang, D., Jeffery, R. C. H., Aung-Htut, M. T., McLenachan, S., Fletcher, S., Wilton, S. D., & Chen, F. K. (2021) · Ophthalmic Genetics · doi:10.1080/13816810.2021.1966053 · Cited by 57
Li, M., Zhong, A., Wu, Y., Sidharta, M., Beaury, M. W., Zhao, X., Studer, L., & Zhou, T. (2022) · Nature Communications · doi:10.1038/s41467-022-34045-7 · Cited by 57
Nayeri, S., Dehghanian, Z., Lajayer, B. A., Thomson, A., Astatkie, T., & Price, G. W. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.139512 · Cited by 57
Fan, T., Cheng, Y., Wu, Y., Liu, S., Tang, X. D., He, Y., Liao, S., Zheng, X., Zhang, T., Qi, Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49473-w · Cited by 59
Zhao, Y., Huang, Z., Zhou, X., Teng, W., Liu, Z., Wang, W., Tang, S., Liu, Y., Liu, J., Wang, W., et al. (2025) · Nature Plants · doi:10.1038/s41477-024-01898-3 · Cited by 56
Engineered nucleocytosolic vehicles for loading of programmable editors
Geilenkeuser, J., Armbrust, N., Steinmaßl, E., Du, S. W., Schmidt, S., Binder, E. M. H., Li, Y., Warsing, N. W., Wendel, S. V., von der Linde, F., et al. (2025) · Cell · doi:10.1016/j.cell.2025.03.015 · Cited by 58
A CRISPR Path to Engineering New Genetic Mouse Models for Cardiovascular Research
Miano, J. M., Zhu, Q. M., & Lowenstein, C. J. (2016) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.116.304790 · Cited by 58
CRISPR-Based Tools in Immunity
Simeonov, D. R., & Marson, A. (2019) · Annual Review of Immunology · doi:10.1146/annurev-immunol-042718-041522 · Cited by 57
Highly efficient single base editing in Aspergillus niger with CRISPR/Cas9 cytidine deaminase fusion
Huang, L., Dong, H., Zheng, J., Wang, B., & Pan, L. (2019) · Microbiological Research · doi:10.1016/j.micres.2019.03.007 · Cited by 59
Wang, X., & Musunuru, K. (2019) · JACC Basic to Translational Science · doi:10.1016/j.jacbts.2019.05.008 · Cited by 56
Yuan, T., Yan, N., Fei, T., Zheng, J., Meng, J., Li, N., Liu, J., Zhang, H., Xie, L., Ying, W., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25217-y · Cited by 55
Marx, V. (2018) · Nature Methods · doi:10.1038/s41592-018-0146-4 · Cited by 55
Methods and applications of CRISPR/Cas system for genome editing in stem cells
Yang, G., & Huang, X. (2019) · Cell Regeneration · doi:10.1016/j.cr.2019.08.001 · Cited by 55
Targeted Therapy in Cardiovascular Disease: A Precision Therapy Era
Xu, M., Zhang, K., & Song, J. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.623674 · Cited by 55
From Genome Sequencing to CRISPR-Based Genome Editing for Climate-Resilient Forest Trees
Cao, H. X., Vu, G. T. H., & Gailing, O. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23020966 · Cited by 56
Efficient Genome Editing in Setaria italica Using CRISPR/Cas9 and Base Editors
Liang, Z., Wu, Y., Ma, L., Guo, Y., & Ran, Y. (2022) · Frontiers in Plant Science · doi:10.3389/fpls.2021.815946 · Cited by 55
A precise and efficient adenine base editor
Tu, T., Song, Z., Liu, X., Wang, S., He, X., Xi, H., Wang, J., Yan, T., Chen, H., Zhang, Z., et al. (2022) · Molecular Therapy · doi:10.1016/j.ymthe.2022.07.010 · Cited by 55
DNA base editing in nuclear and organellar genomes
Tan, J., Forner, J., Karcher, D., & Bock, R. (2022) · Trends in Genetics · doi:10.1016/j.tig.2022.06.015 · Cited by 57
Precision genome editing in the eye
Suh, S., Choi, E. H., Raguram, A., Liu, D. R., & Palczewski, K. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2210104119 · Cited by 56
Self-citationCurrent advancement in the application of prime editing
Huang, Z., & Liu, G. (2023) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2023.1039315 · Cited by 56
Research progress and applications of genome‐wide association study in farm animals
Tan, X., He, Z., Fahey, A. G., Zhao, G., Liu, R., & Wen, J. (2023) · Animal Research and One Health · doi:10.1002/aro2.14 · Cited by 57
High-efficiency base editing in the retina in primates and human tissues
Muller, A., Sullivan, J., Schwarzer, W., Wang, M., Park-Windhol, C., Hasler, P. W., Janeschitz-Kriegl, L., Duman, M., Klingler, B., Matsell, J., et al. (2025) · Nature Medicine · doi:10.1038/s41591-024-03422-8 · Cited by 52
Metadata
- Authors
- Komor, A. C., Kim, Y. B., Packer, M. S., Zuris, J. A., & Liu, D. R.
- Affiliations
- Howard Hughes Medical Institute (US)
- Corresponding author
- Liu, David R.
- Venue
- Nature
- Published
- 2016-04-20
- Volume
- 533
- Issue
- 7603
- Pages
- 420-424
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4873371
- OpenAlex
- W2336828812
- Cited by
- 5,437
- References
- 36
- Citations by year
- 2026: 564 · 2025: 660 · 2024: 664 · 2023: 719 · 2022: 681 · 2021: 614 · 2020: 540 · 2019: 408 · 2018: 338 · 2017: 182 · 2016: 61
- FWCI
- 171.45
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institute of General Medical Sciences (T32GM008313, F32 GM 106601-2, F32GM106601, F32 GM 112366-2, R01GM065400, F32GM112366)
- National Institute of Biomedical Imaging and Bioengineering (R01EB022376)
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA Repair Mechanisms
- Keywords
- base editing, CRISPR/Cas9, cytidine deaminase, point mutation correction, Cas9 nickase, DNA repair, guide RNA, genome editing, human disease models
- MeSH terms
- APOBEC-1 Deaminase, RNA, Guide, CRISPR-Cas Systems, Animals, Base Sequence, Cell Line, Cytidine, Cytidine Deaminase, Deoxyribonuclease I, DNA, DNA Repair, Genetic Engineering, Humans, Templates, Genetic, Uridine, Genes, p53, Genome, Point Mutation, Mice, Uracil-DNA Glycosidase, Apolipoprotein E4, DNA Cleavage, INDEL Mutation, Clustered Regularly Interspaced Short Palindromic Repeats, CRISPR-Cas Systems, CRISPR-Associated Proteins
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