Optimized base editors enable efficient editing in cells, organoids and mice
Open accessAbstract
CRISPR base editing enables the creation of targeted single-base conversions without generating double-stranded breaks. However, the efficiency of current base editors is very low in many cell types. We reengineered the sequences of BE3, BE4Gam, and xBE3 by codon optimization and incorporation of additional nuclear-localization sequences. Our collection of optimized constitutive and inducible base-editing vector systems dramatically improves the efficiency by which single-nucleotide variants can be created. The reengineered base editors enable target modification in a wide range of mouse and human cell lines, and intestinal organoids. We also show that the optimized base editors mediate efficient in vivo somatic editing in the liver in adult mice.
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The described protocols are applicable in ASC-derived organoids from both murine and human sources and can be derived from various organs.
“These protocols are applicable in ASC derived organoids from both murine and human sources and can be derived from various organs.17”
From Protocol to create isogenic disease models from adult stem cell-derived organoids using next-generation CRISPR tools (2024) · cites this paper as [17]
The Online Methods section on organoid isolation and transfection describes protocols for murine small-intestinal organoids. It does not establish their applicability to human ASC-derived organoids or organoids from various organs. The paper’s mention of human organoids describes work reported elsewhere, not an application of these protocols. (LLM, conf=0.86)
Experimental — accuracy not yet measuredCBEs have been utilized to mutate the S45 residue, effectively modeling the first step of the phosphorylation cascade.
“Previously, Zafra and colleagues have utilized CBEs to mutate the S45 residue, effectively modeling the first step of the phosphorylation cascade36.”
From One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids (2023) · cites this paper as [36]
The paper reports using base editors to create CTNNB1 S45F mutations in DLD1 cells and mouse liver (main text, Figure 3a–b and 3f–g). It describes the mutations as activating WNT signaling, but does not say that they model the first step of a phosphorylation cascade. (LLM, conf=0.85)
Experimental — accuracy not yet measuredBase editors have been applied before in organoids to model and repair diseases, and this study significantly extends their application by demonstrating opportunities in multiplexing CBEs and ABEs, Cas9 homologs, and evolved Cas9 variants.
“While base editors have been applied before in organoids to model36 and repair31 diseases, we significantly extend their application by demonstrating the opportunities that reside in multiplexing CBE’s and ABE’s, as well as Cas9 homologs and evolved Cas9 variants.”
From One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids (2023) · cites this paper as [36]
CTNNB1 was mainly localized at the plasma membrane in wild-type organoids, whereas intracellular levels in the cytoplasm and nucleus was low.
“As expected, CTNNB1 was mainly localized at the plasma membrane in wild-type organoids, presumably bound to adherens junctions36, whereas intracellular levels in the cytoplasm and nucleus was low (Fig. 2d, Supplementary Fig. 3b).”
From One-step generation of tumor models by base editor multiplexing in adult stem cell-derived organoids (2023) · cites this paper as [36]
The citation is attached to the suggestion that membrane-localized CTNNB1 is bound to adherens junctions. The paper’s organoid passages describe base editing and culture methods, not CTNNB1 localization; searches for plasma-membrane localization and adherens junctions found no passage addressing that point. The paper also does not report the claimed low cytoplasmic and nuclear levels in wild-type organoids. (LLM, conf=0.73)
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- Authors
- Zafra, M. P., Schatoff, E. M., Katti, A., Foronda, M., Breinig, M., Schweitzer, A. Y., Simon, A., Han, T., Goswami, S., Montgomery, E., Thibado, J., Kastenhuber, E. R., Sánchez-Rivera, F. J., Shi, J., Vakoc, C. R., Lowe, S. W., Tschaharganeh, D. F., & Dow, L. E.
- Affiliations
- Weill Cornell Medicine (US)
- German Cancer Research Center (DE)
- Memorial Sloan Kettering Cancer Center (US)
- Cold Spring Harbor Laboratory (US)
- Corresponding author
- Dow, Lukas E
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2018-07-03
- Volume
- 36
- Issue
- 9
- Pages
- 888-893
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC6130889
- OpenAlex
- W2810023485
- Cited by
- 347
- References
- 8
- Citations by year
- 2026: 26 · 2025: 26 · 2024: 44 · 2023: 49 · 2022: 43 · 2021: 49 · 2020: 47 · 2019: 54 · 2018: 9
- FWCI
- 14.14
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Biotechnology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (submittedVersion)
- Institutional Repository of the University of Granada (University of Granada) (submittedVersion, other-oa)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health (U54OD020355)
- National Cancer Institute (T32CA160001, K22CA181280, R01CA195787, T32CA203702, F31CA192835, F31CA224800, P30CA008748)
- National Institute of General Medical Sciences (T32GM007739)
- 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
- CRISPR base editing, base editors, codon optimization, nuclear localization signal, BE3, single nucleotide variants, intestinal organoids, liver, genome editing efficiency
- MeSH terms
- Gene Editing, Animals, Cell Line, Humans, Genetic Variation, Mice, CRISPR-Cas Systems
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