In vivo cytidine base editing of hepatocytes without detectable off-target mutations in RNA and DNA
Open accessAbstract
Base editors are RNA-programmable deaminases that enable precise single-base conversions in genomic DNA. However, off-target activity is a concern in the potential use of base editors to treat genetic diseases. Here, we report unbiased analyses of transcriptome-wide and genome-wide off-target modifications effected by cytidine base editors in the liver of mice with phenylketonuria. The intravenous delivery of intein-split cytidine base editors by dual adeno-associated viruses led to the repair of the disease-causing mutation without generating off-target mutations in the RNA and DNA of the hepatocytes. Moreover, the transient expression of a cytidine base editor mRNA and a relevant single-guide RNA intravenously delivered by lipid nanoparticles led to ~21% on-target editing and to the reversal of the disease phenotype; there were also no detectable transcriptome-wide and genome-wide off-target edits. Our findings support the feasibility of therapeutic cytidine base editing to treat genetic liver diseases.
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
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?
An optimal weight ratio of base editor mRNA to sgRNA within the lead LNP formulation (3:1) was identified, differing from previous reports of LNPs co-encapsulating base editor mRNA and sgRNA.
“An optimal weight ratio of base editor mRNA to sgRNA within the lead LNP formulation (3:1) was also identified, differing from previous reports of LNPs co-encapsulating base editor mRNA and sgRNA (16, 40).”
From Ionizable Lipid Nanoparticles for Therapeutic Base Editing of Congenital Brain Disease (2023) · cites this paper as [40]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Programmable editing of a target base in genomic DNA without double-stranded DNA cleavage
Komor, A. C., Kim, Y. B., Packer, M. S., Zuris, J. A., & Liu, D. R. (2016) · Nature · doi:10.1038/nature17946 · Cited by 5,437 · see citing works
Programmable base editing of A•T to G•C in genomic DNA without DNA cleavage
Gaudelli, N. M., Komor, A. C., Rees, H. A., Packer, M. S., Badran, A. H., Bryson, D. I., & Liu, D. R. (2017) · Nature · doi:10.1038/nature24644 · Cited by 4,184 · see citing works
Targeted delivery of RNAi therapeutics with endogenous and exogenous ligand-based mechanisms
Akinc, A., Querbes, W., De, S., Qin, J., Frank-Kamenetsky, M., Jayaprakash, K. N., Jayaraman, M., Rajeev, K. G., Cantley, W. L., Dorkin, J. R., et al. (2010) · Molecular Therapy · doi:10.1038/mt.2010.85 · Cited by 1,261 · see citing works
Tissue-specific mutation accumulation in human adult stem cells during life
Blokzijl, F., de Ligt, J., Jager, M., Sasselli, V., Roerink, S., Sasaki, N., Huch, M., Boymans, S., Kuijk, E., Prins, P., et al. (2016) · Nature · doi:10.1038/nature19768 · Cited by 935 · see citing works
Self-citationFinn, J. D., Smith, A. R., Patel, M. C., Shaw, L., Youniss, M. R., van Heteren, J., Dirstine, T., Ciullo, C., Lescarbeau, R., Seitzer, J., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.02.014 · Cited by 878 · see citing works
Transcriptome-wide off-target RNA editing induced by CRISPR-guided DNA base editors
Grünewald, J., Zhou, R., Garcia, S. P., Iyer, S., Lareau, C. A., Aryee, M. J., & Joung, J. K. (2019) · Nature · doi:10.1038/s41586-019-1161-z · Cited by 663 · see citing works
Structure-guided chemical modification of guide RNA enables potent non-viral in vivo genome editing
Yin, H., Song, C.-Q., Suresh, S., Wu, Q., Walsh, S., Rhym, L. H., Mintzer, E., Bolukbasi, M. F., Zhu, L. J., Kauffman, K., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.4005 · Cited by 499 · see citing works
Conway, A., Mendel, M., Kim, K., McGovern, K., Boyko, A., Zhang, L., Miller, J. C., DeKelver, R. C., Paschon, D. E., Mui, B. L., et al. (2019) · Molecular Therapy · doi:10.1016/j.ymthe.2019.03.003 · Cited by 95 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 46
- [3]Chadwick AC Wang X Musunuru K In Vivo Base Editing of PCSK9 (Proprotein Convertase Subtilisin/Kexin Type 9) as a Therapeutic Alternative to Genome Editing Arterioscler Thromb Vasc Biol 2017 10.1161/ATVBAHA.117.309881 PMC5570639 28751571 · DOI
- [4]Ryu S-M Adenine base editing in mouse embryos and an adult mouse model of Duchenne muscular dystrophy Nat Biotechnol 2018 36 536 29702637
- [5]Villiger L Treatment of a metabolic liver disease by in vivo genome base editing in adult mice Nat Med 2018 24 1519 1525 30297904
- [7]Grünewald J Zhou R Iyer S Lareau CA Garcia SP CRISPR adenine and cytosine base editors with reduced RNA off-target activities 2019 1 25 PMC6730565 31477922
- [8]Rees HA Wilson C Doman JL Liu DR Analysis and minimization of cellular RNA editing by DNA adenine base editors Sci Adv 2019 10.1126/sciadv.aax5717 PMC6506237 31086823 · DOI
- [9]Zhou C Off-target RNA mutation induced by DNA base editing and its elimination by mutagenesis Nature 2019 10.1038/s41586-019-1314-0 31181567 · DOI · Paper page
- [10]Zuo E Cytosine base editor generates substantial off-target single-nucleotide variants in mouse embryos Science (80-) 2019 126 21 PMC7301308 30819928
- [11]McGrath E Targeting specificity of APOBEC-based cytosine base editor in human iPSCs determined by whole genome sequencing Nat Commun 2019 10 1 9 2019 101 31767844 PMC6877639
- [12]Yamanaka S Poksay KS Driscoll DM Innerarity TL Hyperediting of multiple cytidines of apolipoprotein B mRNA by APOBEC-1 requires auxiliary protein(s) but not a mooring sequence motif J Biol Chem 1996 271 11506 11510 8626710
- [13]Rosenberg BR Hamilton CE Mwangi MM Dewell S Papavasiliou FN Transcriptome-wide sequencing reveals numerous APOBEC1 mRNA-editing targets in transcript 3′ UTRs Nat Struct Mol Biol 2011 18 230 238 21258325 PMC3075553
- [14]Sowden M Hamm JK Smith HC Overexpression of APOBEC-1 results in mooring sequence-dependent promiscuous RNA editing J Biol Chem 1996 271 3011 3017 8621694
- [15]Yamanaka S Apolipoprotein B mRNA-editing protein induces hepatocellular carcinoma and dysplasia in transgenic animals Proc Natl Acad Sci U S A 1995 92 8483 8487 7667315 PMC41181
- [16]Zincarelli C Soltys S Rengo G Rabinowitz JE Analysis of AAV serotypes 1-9 mediated gene expression and tropism in mice after systemic injection Mol Ther 2008 16 1073 1080 18414476
- [17]Hou Y Single-cell exome sequencing and monoclonal evolution of a JAK2-negative myeloproliferative neoplasm Cell 2012 10.1016/j.cell.2012.02.028 22385957 · DOI · Paper page
- [18]Katsuda T Conversion of Terminally Committed Hepatocytes to Culturable Bipotent Progenitor Cells with Regenerative Capacity 2017 10.1016/j.stem.2016.10.007 27840021 · DOI · Paper page
- [19]Jager M Measuring mutation accumulation in single human adult stem cells by whole-genome sequencing of organoid cultures 13 59 78 29215633
- [21]Komor AC Improved base excision repair inhibition and bacteriophage Mu Gam protein yields C:G-to-T:A base editors with higher efficiency and product purity Sci Adv 2017 10.1126/sciadv.aao4774 PMC5576876 28875174 · DOI
- [22]Nathwani AC Adenovirus-Associated Virus Vector–Mediated Gene Transfer in Hemophilia B N Engl J Med 2011 365 2357 2365 22149959 PMC3265081
- [25]Nishimasu H Crystal Structure of Staphylococcus aureus Cas9 Cell 2015 162 1113 1126 26317473 PMC4670267
- [27]Mitchell JJ Trakadis YJ Scriver CR Phenylalanine hydroxylase deficiency Genet Med 2011 13 697 707 21555948
- [29]Mui BL Influence of Polyethylene Glycol Lipid Desorption Rates on Pharmacokinetics and Pharmacodynamics of siRNA Lipid Nanoparticles Mol Ther - Nucleic Acids 2013 2 1 8 PMC3894582 24345865
- [30]Haeussler M Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR Genome Biol 2016 10.1186/s13059-016-1012-2 PMC4934014 27380939 · DOI · Paper page
- [31]Song C-Q Adenine base editing in an adult mouse model of tyrosinaemia 2019 10.1038/s41551-019-0357-8 PMC6986236 31740768 · DOI · Paper page
- [32]Okano Y Molecular Basis of Phenotypic Heterogeneity in Phenylketonuria N Engl J Med 1991 324 1232 1238 2014036
- [33]Nelson CE Long-term evaluation of AAV-CRISPR genome editing for Duchenne muscular dystrophy Nat Med 2019 25 427 432 30778238 PMC6455975
- [34]Kay MA State-of-the-art gene-based therapies: The road ahead Nature Reviews Genetics Nature Publishing Group 2011 12 316 328 21468099
- [35]Kaiser J How safe is a popular gene therapy vector? Science 2020 10.1126/science.367.6474.131 31919200 · DOI
- [36]Yu Y Cytosine base editors with minimized unguided DNA and RNA off-target events and high on-target activity Nat Commun 2020 11 1 10 32345976 PMC7189382
- [37]Kim YB Increasing the genome-targeting scope and precision of base editing with engineered Cas9-cytidine deaminase fusions Nat Biotechnol 2017 35 371 376 28191901 PMC5388574
- [38]Grünewald J CRISPR DNA base editors with reduced RNA off-target and self-editing activities Nature Biotechnology 2019 10.1038/s41587-019-0236-6 PMC6730565 31477922 · DOI
- [39]Doman JL Raguram A Newby GA Liu DR Evaluation and minimization of Cas9-independent off-target DNA editing by cytosine base editors Nat Biotechnol 2020 1 9 10.1038/s41587-020-0414-6 2020 32042165 PMC7335424 · DOI · Paper page
- [40]Alexandrov LB Signatures of mutational processes in human cancer Nature 2013 500 415 421 23945592 PMC3776390
- [41]Schindelin J Fiji: an open-source platform for biological-image analysis Nat Methods 2012 9 676 682 22743772 PMC3855844
- [42]Zhang J Kobert K Flouri T Stamatakis A PEAR: A fast and accurate Illumina Paired-End reAd mergeR Bioinformatics 2014 30 614 620 24142950 PMC3933873
- [44]Lindsay H CrispRVariants charts the mutation spectrum of genome engineering experiments Nat Biotechnol 2016 34 701 702 27404876
- [46]Faust GG Hall IM SAMBLASTER: Fast duplicate marking and structural variant read extraction Bioinformatics 2014 10.1093/bioinformatics/btu314 PMC4147885 24812344 · DOI
- [47]Li H The Sequence Alignment / Map (SAM) Format and SAMtools 1000 Genome Project Data Processing Subgroup Bioinformatics 2009 10.1093/bioinformatics/btp352 PMC2723002 19505943 · DOI · Paper page
- [48]Layer RM Chiang C Quinlan AR Hall IM LUMPY: A probabilistic framework for structural variant discovery Genome Biol 2014 10.1186/gb-2014-15-6-r84 PMC4197822 24970577 · DOI
- [49]Rausch T DELLY: Structural variant discovery by integrated paired-end and split-read analysis Bioinformatics 2012 10.1093/bioinformatics/bts378 PMC3436805 22962449 · DOI
- [50]Hansen KD Brenner SE Dudoit S Biases in Illumina transcriptome sequencing caused by random hexamer priming 2010 38 1 7 PMC2896536 20395217
- [51]Depristo MA A framework for variation discovery and genotyping using next-generation DNA sequencing data Nat Genet 2011 43 491 501 21478889 PMC3083463
- [52]Boeva V Control-FREEC: A tool for assessing copy number and allelic content using next-generation sequencing data Bioinformatics 2012 28 423 425 22155870 PMC3268243
- [53]Blokzijl F Janssen R van Boxtel R Cuppen E MutationalPatterns: Comprehensive genome-wide analysis of mutational processes Genome Med 2018 10 1 11 29695279 PMC5922316
- [54]Petljak M Characterizing Mutational Signatures in Human Cancer Cell Lines Reveals Episodic APOBEC Mutagenesis Cell 2019 176 1282 1294.e20 30849372 PMC6424819
- [55]Martincorena I Universal Patterns of Selection in Cancer and Somatic Tissues Cell 2017 10.1016/j.cell.2017.09.042 PMC5720395 29056346 · DOI · Paper page
- [56]Wickham H ggplot2: elegant graphics for data analysis Journal of the Royal Statistical Society: Series A (Statistics in Society) 2016 10.1007/978-3-319-24277-4 · DOI
Cited by
Sorted by citations
In vivo CRISPR base editing of PCSK9 durably lowers cholesterol in primates
Musunuru, K., Chadwick, A. C., Mizoguchi, T., Garcia, S. P., DeNizio, J. E., Reiss, C. W., Wang, K., Iyer, S., Dutta, C., Clendaniel, V., et al. (2021) · Nature · doi:10.1038/s41586-021-03534-y · Cited by 793 · see citing works
Self-citationIn vivo adenine base editing of PCSK9 in macaques reduces LDL cholesterol levels
Rothgangl, T., Dennis, M. K., Lin, P. J. C., Oka, R., Witzigmann, D., Villiger, L., Qi, W., Hruzova, M., Kissling, L., Lenggenhager, D., et al. (2021) · Nature Biotechnology · doi:10.1038/s41587-021-00933-4 · Cited by 378 · see citing works
Self-citationDelivery of CRISPR-Cas tools for in vivo genome editing therapy: Trends and challenges
Taha, E. A., Lee, J., & Hotta, A. (2022) · Journal of Controlled Release · doi:10.1016/j.jconrel.2022.01.013 · Cited by 259 · see citing works
Ionizable Lipid Nanoparticles for Therapeutic Base Editing of Congenital Brain Disease
Palanki, R., Bose, S. K., Dave, A., White, B. M., Berkowitz, C., Luks, V., Yaqoob, F., Han, E., Swingle, K. L., Menon, P., et al. (2023) · ACS Nano · doi:10.1021/acsnano.3c02268 · Cited by 77 · see citing works
- Authors
- Villiger, L., Rothgangl, T., Witzigmann, D., Oka, R., Lin, P. J. C., Qi, W., Janjuha, S., Berk, C., Ringnalda, F., Beattie, M. B., Stoffel, M., Thöny, B., Hall, J., Rehrauer, H., van Boxtel, R., Tam, Y. K., & Schwank, G.
- Affiliations
- University of Zurich (CH)
- University of Basel (CH)
- Oncode Institute (NL)
- Acuitas Therapeutics (Canada) (CA)
- ETH Zurich (CH)
- University Children's Hospital Zurich (CH)
- Corresponding author
- Schwank, Gerald
- ORCID
- Venue
- Nature Biomedical Engineering
- Published
- 2021-01-25
- Volume
- 5
- Issue
- 2
- Pages
- 179-189
- ISSN
- 2157-846X (ISSN-L)
- PMC
- PMC7610981
- OpenAlex
- W3125206715
- Cited by
- 105
- References
- 8
- Citations by year
- 2026: 16 · 2025: 14 · 2024: 24 · 2023: 25 · 2022: 18 · 2021: 8
- FWCI
- 5.88
- Type
- journal article
- Language
- en
- Open access
- green
- www.zora.uzh.ch
- Licence
- Locations
- Nature Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- PubMed Central (acceptedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- Novartis Stiftung für Medizinisch-Biologische Forschung (19A004)
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (205 321_169 612, 310030_185293)
- 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 › Genetics › Virus-based gene therapy research
- Keywords
- off-target mutations, phenylketonuria, hepatocytes, adeno-associated virus vectors, lipid nanoparticles, single guide RNA
- MeSH terms
- Gene Editing, Adenoviridae, Animals, Cytidine, DNA, Genetic Vectors, Humans, Mice, Inbred C57BL, RNA, Hepatocytes, Mice, HEK293 Cells
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