The DOI matches its Crossref record; 35 of the 36 references it cites were found in a registry or an index.
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.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
The cited source says what the claim attributes to it.
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
The cited source says what the claim attributes to it.
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]
The check wasn’t confident either way, so it gives no verdict — never disputed.
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]
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
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
Cited by
Sorted by citations
Items 301–400 of 1,035
NF-κB: master regulator of cellular responses in health and disease
Hoffmann, A., Cheng, G., & Baltimore, D. (2025) · Immunity & Inflammation · doi:10.1007/s44466-025-00014-0 · Cited by 173
R-loop formation and conformational activation mechanisms of Cas9
Pačesa, M., Loeff, L., Querques, I., Muckenfuss, L. M., Sawicka, M., & Jínek, M. (2022) · Nature · doi:10.1038/s41586-022-05114-0 · Cited by 176
Zuo, E., Sun, Y., Yuan, T., He, B., Zhou, C., Ying, W., Liu, J., Wu, W., Zeng, R., Li, Y., et al. (2020) · Nature Methods · doi:10.1038/s41592-020-0832-x · Cited by 166
Bridge RNAs direct programmable recombination of target and donor DNA
Durrant, M. G., Perry, N. T., Pai, J. J., Jangid, A. R., Athukoralage, J. S., Hiraizumi, M., McSpedon, J. P., Pawluk, A., Nishimasu, H., Konermann, S., et al. (2024) · Nature · doi:10.1038/s41586-024-07552-4 · Cited by 163
CRISPR-based functional genomics for neurological disease
Kampmann, M. (2020) · Nature Reviews Neurology · doi:10.1038/s41582-020-0373-z · Cited by 163
Reduced Blood Lipid Levels With In Vivo CRISPR-Cas9 Base Editing of ANGPTL3
Chadwick, A. C., Evitt, N. H., Lv, W., & Musunuru, K. (2018) · Circulation · doi:10.1161/circulationaha.117.031335 · Cited by 152
Association mapping in plants in the post-GWAS genomics era
Gupta, P. K., Kulwal, P. L., & Jaiswal, V. (2019) · Advances in genetics · doi:10.1016/bs.adgen.2018.12.001 · Cited by 167
Suh, S., Choi, E. H., Leinonen, H., Foik, A. T., Newby, G. A., Yeh, W.-H., Dong, Z., Kiser, P. D., Lyon, D. C., Liu, D. R., et al. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-020-00632-6 · Cited by 169
Self-citationLau, C.-H., & Suh, Y. (2017) · F1000Research · doi:10.12688/f1000research.11243.1 · Cited by 161
Chen, Y., Wang, Z., Ni, H., Xu, Y., Chen, Q., & Jiang, L. (2017) · Science China Life Sciences · doi:10.1007/s11427-017-9021-5 · Cited by 161
Spatiotemporal DNA methylome dynamics of the developing mouse fetus
He, Y., Hariharan, M., Gorkin, D. U., Dickel, D. E., Luo, C., Castanon, R., Nery, J. R., Lee, A. Y., Zhao, Y., Huang, H., et al. (2020) · Nature · doi:10.1038/s41586-020-2119-x · Cited by 165
Zou, Z., Du, Y., Fang, T.-T., Zhou, Y. Q., & Ye, B. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2022.12.004 · Cited by 161
Gintant, G. A., Burridge, P. W., Gepstein, L., Harding, S. E., Herron, T. J., Hong, C. C., Jalife, J., & Wu, J. C. (2019) · Circulation Research · doi:10.1161/res.0000000000000291 · Cited by 165
CRISPR/Cas: Advances, Limitations, and Applications for Precision Cancer Research
Yang, Y., Xu, J., Ge, S., & Lai, L. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.649896 · Cited by 167
Rationally designed APOBEC3B cytosine base editors with improved specificity
Jin, S., Fei, H., Zhu, Z., Luo, Y., Liu, J., Gao, S., Zhang, F., Chen, Y.-H., Wang, Y., & Gao, C. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.07.005 · Cited by 159
CRISPR-Cas9/Cas12a biotechnology and application in bacteria
Yao, R., Liu, D., Jia, X., Zheng, Y., Liu, W. Y., & Xiao, Y. (2018) · Synthetic and Systems Biotechnology · doi:10.1016/j.synbio.2018.09.004 · Cited by 165
Self-citationHendriks, D. F. G., Artegiani, B., Hu, H., Lopes, S. M. C. D. S., & Clevers, H. C. (2020) · Nature Protocols · doi:10.1038/s41596-020-00411-2 · Cited by 166
Recent advances in the modeling of Alzheimer’s disease
Sasaguri, H., Hashimoto, S., Watamura, N., Sato, K., Takamura, R., Nagata, K., Tsubuki, S., Ohshima, T., Yoshiki, A., Sato, K., et al. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.807473 · Cited by 157
Simultaneous repression of multiple bacterial genes using nonrepetitive extra-long sgRNA arrays
Reis, A. C., Halper, S. M., Vezeau, G. E., Cetnar, D. P., Hossain, A., Clauer, P. R., & Salis, H. M. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0286-9 · Cited by 160
Chen, L., Zhu, B., Ru, G., Meng, H., Yan, Y., Hong, M., Zhang, D., Luan, C., Zhang, S., Wu, H., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-022-01532-7 · Cited by 156
Single transcript unit CRISPR 2.0 systems for robust Cas9 and Cas12a mediated plant genome editing
Tang, X. D., Ren, Q., Yang, L., Bao, Y., Zhong, Z., He, Y., Liu, S., Qi, C., Liu, B., Wang, Y., et al. (2018) · Plant Biotechnology Journal · doi:10.1111/pbi.13068 · Cited by 156
Wang, H., Wu, Y., Zhang, Y., Yang, J. M., Fan, W., Zhang, H., Zhao, S., Yuan, L., & Zhang, P. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20194702 · Cited by 156
Dilliard, S. A., Sun, Y., Brown, M. O., Sung, Y., Chatterjee, S., Farbiak, L., Vaidya, A., Lian, X., Wang, X., Lemoff, A. S., et al. (2023) · Journal of Controlled Release · doi:10.1016/j.jconrel.2023.07.058 · Cited by 163
Advances in Engineering the Fly Genome with the CRISPR-Cas System
Bier, E., Harrison, M. M., O’Connor-Giles, K. M., & Wildonger, J. (2018) · Genetics · doi:10.1534/genetics.117.1113 · Cited by 155
Wang, X., Hu, L., Hao, J., Liao, L., Chiu, Y.-T., Shi, M., & Wang, Y. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0292-7 · Cited by 155
Unbiased investigation of specificities of prime editing systems in human cells
Kim, D. Y., Moon, S. B., Ko, J., Kim, Y.-S., & Kim, D. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa764 · Cited by 162
Self-citationMitochondrial DNA editing in mice with DddA-TALE fusion deaminases
Lee, H., Lee, S., Baek, G., Kim, A., Kang, B., Seo, H., & Kim, J. (2021) · Nature Communications · doi:10.1038/s41467-021-21464-1 · Cited by 154
Engineering herbicide‐resistant oilseed rape by CRISPR/Cas9‐mediated cytosine base‐editing
Jian Xin, W. U., Chen, C., Xian, G., Liu, D., Li, L., Yin, S., Sun, Q., Fang, Y., Zhang, H., & Wang, Y. (2020) · Plant Biotechnology Journal · doi:10.1111/pbi.13368 · Cited by 153
Self-citationCurrent Status and Challenges of DNA Base Editing Tools
Jeong, Y. K., Song, B., & Bae, S. (2020) · Molecular Therapy · doi:10.1016/j.ymthe.2020.07.021 · Cited by 157
Dong, W., & Kantor, B. (2021) · Viruses · doi:10.3390/v13071288 · Cited by 162
Genetic Modulation of RNA Splicing with a CRISPR-Guided Cytidine Deaminase
Yuan, J., Ma, Y., Huang, T., Chen, Y., Peng, Y., Li, B., Li, J., Zhang, Y., Song, B., Sun, X., et al. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.09.002 · Cited by 153
Morgan, M. A., Büning, H., Sauer, M. G., & Schambach, A. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01965 · Cited by 153
Genome Editing in Bacteria: CRISPR-Cas and Beyond
Arroyo-Olarte, R. D., Rodríguez, R. B., & Morales‐Ríos, E. (2021) · Microorganisms · doi:10.3390/microorganisms9040844 · Cited by 161
Evaluating CRISPR-based prime editing for cancer modeling and CFTR repair in organoids
Geurts, M. H., de Poel, E., Pleguezuelos-Manzano, C., Oka, R., Carrillo, L., Andersson-Rolf, A., Boretto, M., Brunsveld, J. E., van Boxtel, R., Beekman, J. M., et al. (2021) · Life Science Alliance · doi:10.26508/lsa.202000940 · Cited by 151
Genome-wide profiling of adenine base editor specificity by EndoV-seq
Liang, P., Xie, X., Zhi, S., Sun, H., Zhang, X., Chen, Y., Chen, Y., Xiong, Y., Ma, W., Liu, D., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-07988-z · Cited by 148
Self-citationZeng, Y., Li, J., Li, G., Huang, S., Yu, W., Zhang, Y., Chen, D., Chen, J., Liu, J., & Huang, X. (2018) · Molecular Therapy · doi:10.1016/j.ymthe.2018.08.007 · Cited by 148
Feng, C., Song, C., Liu, Y., Qian, F., Gao, Y., Ning, Z., Wang, Q., Jiang, Y., Li, Y., Li, M., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkz881 · Cited by 147
The application of the CRISPR-Cas system in antibiotic resistance
Tao, S., Chen, H., Li, N., & Liang, W. (2022) · Infection and Drug Resistance · doi:10.2147/idr.s370869 · Cited by 147
CRISPR technologies for bacterial systems: Current achievements and future directions
Choi, K. R., & Lee, S. Y. (2016) · Biotechnology Advances · doi:10.1016/j.biotechadv.2016.08.002 · Cited by 151
Pacher, M., & Puchta, H. (2016) · The Plant Journal · doi:10.1111/tpj.13469 · Cited by 152
Kouno, T., Silvas, T. V., Hilbert, B. J., Shandilya, S. M. D., Bohn, M., Kelch, B. A., Royer, W. E., Somasundaran, M., Yılmaz, N. K., Matsuo, H., et al. (2017) · Nature Communications · doi:10.1038/ncomms15024 · Cited by 147
Immunity to CRISPR Cas9 and Cas12a therapeutics
Chew, W. L. (2017) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1408 · Cited by 150
Ren, B., Liu, L., Li, S., Kuang, Y., Wang, J., Zhang, D., Zhou, X., Lin, H., & Zhou, H. (2019) · Molecular Plant · doi:10.1016/j.molp.2019.03.010 · Cited by 148
Rasheed, A., Gill, R. A., Hassan, M., Mahmood, A., Qari, S. H., Zaman, Q. U., Ilyas, M., Aamer, M., Batool, M., Li, H., et al. (2021) · Current Issues in Molecular Biology · doi:10.3390/cimb43030135 · Cited by 154
Game changers in science and technology - now and beyond
Betz, U. A. K., Arora, L., Assal, R. A., de Azevedo, H. F. Z., Baldwin, J., Becker, M. S., Bostock, S., Cheng, V. W. T., Egle, T., Ferrari, N., et al. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122588 · Cited by 153
Kim, H. K., Lee, S., Kim, Y., Park, J., Min, S., Choi, J. W., Huang, T. P., Yoon, S., Liu, D. R., & Kim, H. H. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-019-0505-1 · Cited by 145
Self-citationA Processive Protein Chimera Introduces Mutations across Defined DNA Regions In Vivo
Moore, C., Papa, L. J., & Shoulders, M. D. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b04001 · Cited by 145
Highly efficient RNA-guided base editing in rabbit
Liu, Z., Chen, M., Chen, S., Deng, J., Song, Y., Lai, L., & Li, Z. (2018) · Nature Communications · doi:10.1038/s41467-018-05232-2 · Cited by 145
CRISPR/Cas9 gene editing: New hope for Alzheimer's disease therapeutics
Bhardwaj, S., Kesari, K. K., Rachamalla, M., Mani, S., Ashraf, G. M., Jha, S. K., Kumar, P., Ambasta, R. K., Dureja, H., Devkota, H. P., et al. (2021) · Journal of Advanced Research · doi:10.1016/j.jare.2021.07.001 · Cited by 145
Li, F., Song, N., Dong, Y., Li, S., Li, L., Liu, Y., Li, Z., & Yang, D. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202116569 · Cited by 146
Prime editing – an update on the field
Scholefield, J., & Harrison, P. T. (2021) · Gene Therapy · doi:10.1038/s41434-021-00263-9 · Cited by 135
CRISPR-Cas-mediated transcriptional modulation: The therapeutic promises of CRISPRa and CRISPRi
Bendixen, L., Jensen, T. I., & Bak, R. O. (2023) · Molecular Therapy · doi:10.1016/j.ymthe.2023.03.024 · Cited by 150
Editing the Epigenome: Reshaping the Genomic Landscape
Holtzman, L., & Gersbach, C. A. (2018) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-083117-021632 · Cited by 147
Vaz, R., Hofmeister, W., & Lindstrand, A. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20061296 · Cited by 115
Mitigating off-target effects in CRISPR/Cas9-mediated in vivo gene editing
Han, H. A., Pang, J. K. S., & Soh, B.-S. (2020) · Journal of Molecular Medicine · doi:10.1007/s00109-020-01893-z · Cited by 134
Molecular tools enabling pennycress (Thlaspi arvense) as a model plant and oilseed cash cover crop
McGinn, M. G., Phippen, W. B., Chopra, R., Bansal, S., Jarvis, B. A., Phippen, M. E., Dorn, K., Esfahanian, M., Nazarenus, T. J., Cahoon, E. B., et al. (2018) · Plant Biotechnology Journal · doi:10.1111/pbi.13014 · Cited by 142
A compact Cas9 ortholog from Staphylococcus Auricularis (SauriCas9) expands the DNA targeting scope
Hu, Z., Wang, S., Zhang, C., Gao, N., Li, M., Wang, D., Wang, D., Liu, D., Liu, H., Ong, S., et al. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000686 · Cited by 144
Self-citationEngineered CD47 protects T cells for enhanced antitumour immunity
Yamada‐Hunter, S. A., Theruvath, J. L., McIntosh, B. J., Freitas, K. A., Lin, F. H. S., Radosevich, M., Leruste, A., Dhingra, S., Martínez-Vélez, N., Xu, P., et al. (2024) · Nature · doi:10.1038/s41586-024-07443-8 · Cited by 147
Synthetic Biology Toolbox and Chassis Development in Bacillus subtilis
Liu, Y., Liu, L., Li, J., Du, G., & Chen, J. (2018) · Trends in biotechnology · doi:10.1016/j.tibtech.2018.10.005 · Cited by 144
Exploration of Plant-Microbe Interactions for Sustainable Agriculture in CRISPR Era
Shelake, R. M., Pramanik, D., & Kim, J. (2019) · Microorganisms · doi:10.3390/microorganisms7080269 · Cited by 147
RNA‐based medicine: from molecular mechanisms to therapy
Sparmann, A., & Vogel, J. (2023) · The EMBO Journal · doi:10.15252/embj.2023114760 · Cited by 151
Opportunities and challenges in modeling human brain disorders in transgenic primates
Jennings, C. G. B., Landman, R., Zhou, Y., Sharma, J., Hyman, J. B., Movshon, J. A., Qiu, Z., Roberts, A., Roe, A. W., Wang, X., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4362 · Cited by 145
Genome Engineering in Rice Using Cas9 Variants that Recognize NG PAM Sequences
Hua, K., Tao, X., Han, P., Wang, R., & Zhu, J. (2019) · Molecular Plant · doi:10.1016/j.molp.2019.03.009 · Cited by 143
Ali, Z., Shami, A., Sedeek, K., Kamel, R., Alhabsi, A., Tehseen, M., Hassan, N., Butt, H., Kababji, A. M., Hamdan, S. M., et al. (2020) · Communications Biology · doi:10.1038/s42003-020-0768-9 · Cited by 142
Zhang, X., Chen, L., Zhu, B., Wang, L., Chen, C., Hong, M., Huang, Y., Li, H., Han, H., Cai, B., et al. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-0518-8 · Cited by 141
Signal amplification and output of CRISPR/Cas-based biosensing systems: A review
Wang, S.-Y., Du, Y., Wang, D., Ma, J.-Y., Tang, A., & Kong, D. (2021) · Analytica Chimica Acta · doi:10.1016/j.aca.2021.338882 · Cited by 143
Base editing rescue of spinal muscular atrophy in cells and in mice
Arbab, M., Matuszek, Ż., Kray, K. M., Du, A., Newby, G. A., Blatnik, A. J., Raguram, A., Richter, M. F., Zhao, K. T., Levy, J. M., et al. (2023) · Science · doi:10.1126/science.adg6518 · Cited by 144
Self-citationDeafness: from genetic architecture to gene therapy
Petit, C., Bonnet, C., & Safieddine, S. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00597-7 · Cited by 148
The potential of mitochondrial genome engineering
Silva-Pinheiro, P., & Minczuk, M. A. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00432-x · Cited by 142
CRISPR–Cas applications in agriculture and plant research
Tuncel, A., Pan, C., Clem, J. S., Liu, D., & Qi, Y. (2025) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-025-00834-3 · Cited by 145
Self-citationCRISPR directed evolution of the spliceosome for resistance to splicing inhibitors
Butt, H., Eid, A., Momin, A. A., Bazin, J., Crespi, M. D., Arold, S. T., & Mahfouz, M. M. (2019) · Genome biology · doi:10.1186/s13059-019-1680-9 · Cited by 138
Ahmad, M., Waraich, E. A., Skalický, M., Hussain, S., Zulfiqar, U., Anjum, M. Z., Rahman, M. H. U., Brestič, M., Ratnasekera, D., Lamilla-Tamayo, L., et al. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.767150 · Cited by 138
Improved cytosine base editors generated from TadA variants
Lam, D. K., Feliciano, P. R., Arif, A., Bohnuud, T., Fernandez, T. P., Gehrke, J. M., Grayson, P., Lee, K. D., Ortega, M. A., Sawyer, C. B., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-022-01611-9 · Cited by 140
Precise gene replacement in rice by RNA transcript-templated homologous recombination
Li, S., Li, J., He, Y., Xu, M., Zhang, J., Du, W., Zhao, Y., & Xia, L. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0065-7 · Cited by 137
CRISPR-Cas in Streptococcus pyogenes
Rhun, A. L., Escalera-Maurer, A., Bratovič, M., & Charpentier, E. (2019) · RNA Biology · doi:10.1080/15476286.2019.1582974 · Cited by 143
Base-edited CAR T cells for combinational therapy against T cell malignancies
Georgiadis, C., Rasaiyaah, J., Gkazi, S. A., Preece, R., Etuk, A., Christi, A., & Qasim, W. (2021) · Leukemia · doi:10.1038/s41375-021-01282-6 · Cited by 140
Enhanced base editing by co-expression of free uracil DNA glycosylase inhibitor
Wang, L., Xue, W., Yan, L., Li, X., Wei, J., Chen, M., Wu, J., Yang, B., Yang, L. C., & Chen, J. (2017) · Cell Research · doi:10.1038/cr.2017.111 · Cited by 139
Long Terminal Repeat CRISPR-CAR-Coupled “Universal” T Cells Mediate Potent Anti-leukemic Effects
Georgiadis, C., Preece, R., Nickolay, L. E., Etuk, A., Petrova, A., Ładoń, D., Danyi, A., Humphryes-Kirilov, N., Ajetunmobi, A., Kim, D., et al. (2018) · Molecular Therapy · doi:10.1016/j.ymthe.2018.02.025 · Cited by 140
RNAi/CRISPR Screens: from a Pool to a Valid Hit
Schuster, A. M., Erasimus, H., Fritah, S., Nazarov, P. V., Dyck, E. V., Niclou, S. P., & Golebiewska, A. (2018) · Trends in biotechnology · doi:10.1016/j.tibtech.2018.08.002 · Cited by 140
Barriers to genome editing with CRISPR in bacteria
Vento, J. M., Crook, N., & Beisel, C. L. (2019) · Journal of Industrial Microbiology & Biotechnology · doi:10.1007/s10295-019-02195-1 · Cited by 142
Construct design for CRISPR/Cas-based genome editing in plants
Hassan, M. M., Zhang, Y., Yuan, G., De, K., Chen, J., Muchero, W., Tuskan, G. A., Qi, Y., & Yang, X. (2021) · Trends in Plant Science · doi:10.1016/j.tplants.2021.06.015 · Cited by 139
Breeding custom‐designed crops for improved drought adaptation
Varshney, R. K., Barmukh, R., Roorkiwal, M., Qi, Y., Kholová, J., Tuberosa, R., Reynolds, M. P., Tardieu, F., & Siddique, K. H. M. (2021) · Advanced Genetics · doi:10.1002/ggn2.202100017 · Cited by 136
Optophysiology: Illuminating cell physiology with optogenetics
Tan, P., He, L., Huang, Y., & Zhou, Y. (2022) · Physiological Reviews · doi:10.1152/physrev.00021.2021 · Cited by 141
Microhomologies are prevalent at Cas9-induced larger deletions
Owens, D. D. G., Caulder, A., Frontera, V., Harman, J. R., Allan, A. J., Bucakci, A., Greder, L., Codner, G. F., Hublitz, P., McHugh, P. J., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz459 · Cited by 136
Inference of single-cell phylogenies from lineage tracing data using Cassiopeia
Jones, M. G., Khodaverdian, A., Quinn, J. J., Chan, M. M., Hussmann, J. A., Wang, R., Xu, C. A., Weissman, J. S., & Yosef, N. (2020) · Genome biology · doi:10.1186/s13059-020-02000-8 · Cited by 145
Ahmad, M. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2023.1133036 · Cited by 135
A Revolution toward Gene-Editing Technology and Its Application to Crop Improvement
Ahmar, S., Saeed, S., Khan, M. H. U., Khan, S. U., Mora-Poblete, F., Kamran, M. A., Faheem, A., Maqsood, A., Rauf, M., Saleem, S., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21165665 · Cited by 136
Epitope base editing CD45 in hematopoietic cells enables universal blood cancer immune therapy
Wellhausen, N., O’Connell, R. P., Lesch, S., Engel, N. W., Rennels, A. K., Gonzales, D. M., Herbst, F., Young, R. M., García, K. C., Weiner, D. B., et al. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.adi1145 · Cited by 136
Kumlehn, J., Pietralla, J., Hensel, G., Pacher, M., & Puchta, H. (2018) · Journal of Integrative Plant Biology · doi:10.1111/jipb.12734 · Cited by 142
Genome editing: A perspective on the application of CRISPR/Cas9 to study human diseases (Review)
Rodríguez-Rodríguez, D. R., Ram�rez‐Sol�s, R., Garza‐Elizondo, M. A., Garza‐Rodr�guez, M., & Barrera-Saldaña, H. A. (2019) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2019.4112 · Cited by 145
Cytosine base editing enables quadruple-edited allogeneic CART cells for T-ALL
Diorio, C. J., Murray, R. C., Naniong, M., Barrera, L. A., Camblin, A. J., Chukinas, J. A., Coholan, L. J., Edwards, A., Fuller, T. J., Gonzales, C., et al. (2022) · Blood · doi:10.1182/blood.2022015825 · Cited by 134
In situ targeted base editing of bacteria in the mouse gut
Brödel, A. K., Charpenay, L. H., Galtier, M., Fuche, F. J., Terrasse, R., Poquet, C., Havránek, J., Pignotti, S., Krawczyk, A. O., Arraou, M., et al. (2024) · Nature · doi:10.1038/s41586-024-07681-w · Cited by 141
Kumar, D., Yadav, A., Ahmad, R., Dwivedi, U. N., & Yadav, K. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.932859 · Cited by 139
Improved plant cytosine base editors with high editing activity, purity, and specificity
Ren, Q., Sretenovic, S., Liu, G., Zhong, Z., Wang, J., Huang, L., Tang, X., Guo, Y., Liu, L., Wu, Y., et al. (2021) · Plant Biotechnology Journal · doi:10.1111/pbi.13635 · Cited by 131
Chen, L., Hong, M., Luan, C., Gao, H., Ru, G., Guo, X., Zhang, D., Zhang, S., Li, C., Wu, J., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-023-01821-9 · Cited by 135
Self-citationCRISPR/Cas9 gene-editing: Research technologies, clinical applications and ethical considerations
Memi, F., Ntokou, A., & Papangeli, I. (2018) · Seminars in Perinatology · doi:10.1053/j.semperi.2018.09.003 · Cited by 134
CRISPR/Cas-based genome engineering in natural product discovery
Tong, Y., Weber, T., & Lee, S. Y. (2018) · Natural Product Reports · doi:10.1039/c8np00089a · Cited by 131
CRISPR/Cas9‐mediated genome editing: From basic research to translational medicine
Jacinto, F. V., Link, W., & Ferreira, B. I. (2020) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.14916 · Cited by 135
CRISPR/Cas9: Principle, Applications, and Delivery through Extracellular Vesicles
Horodecka, K., & Düchler, M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22116072 · Cited by 121
Khoshandam, M., Soltaninejad, H., Mousazadeh, M., Hamidieh, A. A., & Hosseinkhani, S. (2023) · Genes & Diseases · doi:10.1016/j.gendis.2023.02.027 · Cited by 136
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
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