Prediction of synonymous corrections by the BE-FF computational tool expands the targeting scope of base editing
←
→
Page content transcription
If your browser does not render page correctly, please read the page content below
Nucleic Acids Research, 2020 1 doi: 10.1093/nar/gkaa215 Prediction of synonymous corrections by the BE-FF computational tool expands the targeting scope of base editing 1,2,* 3 Roy Rabinowitz , Shiran Abadi , Shiri Almog1,2,4 and Daniel Offen1,2,4,* Downloaded from https://academic.oup.com/nar/advance-article-abstract/doi/10.1093/nar/gkaa215/5816857 by guest on 30 May 2020 1 Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Israel, 2 Felsenstein Medical Research Center, Tel Aviv University, Israel, 3 School of Plant Sciences and Food Security, Tel Aviv University, Israel and 4 Sagol School of Neuroscience, Tel Aviv University, Israel Received February 04, 2020; Revised March 17, 2020; Editorial Decision March 21, 2020; Accepted March 24, 2020 ABSTRACT clustered regulatory interspaced short palindromic repeats (CRISPR)/Cas system to deliver a deaminase protein to Base editing is a genome-editing approach that em- precise genomic loci, as directed by the guide-RNA (gRNA) ploys the CRISPR/Cas system to precisely install (3,4). The first BE (BE1) was introduced by Komor et al. point mutations within the genome. A deaminase (1). This BE utilizes a cytidine deaminase enzyme fused to enzyme is fused to a deactivated Cas and enables a catalytically deactivated Cas (dCas) (1), a Cas protein that transition conversions. The diversified repertoire of contains mutations within its RuvC and HNH endonucle- base editors provides a wide range of base editing ase domains (D10A and H840A) leading to the inability of possibilities. However, existing base editors cannot the Cas protein to perform DNA cleavage. While the dCas induce transversion substitutions and activate only protein lacks its endonuclease ability, it retains the compe- within a specified region relative to the binding site, tence to navigate through the genomic DNA to the desig- thus, they cannot precisely correct every point mu- nated locus (5). Many more variants have been devised since then (Table 1) and can be categorized to two main types: cy- tation. Here, we present BE-FF (Base Editors Func- tosine BEs (CBEs) which convert C to T and adenine BEs tional Finder), a novel computational tool that iden- (ABEs) that convert A to G. The conversion by CBEs oc- tifies suitable base editors to correct the translated curs via deamination of cytidine, yielding uridine that acts sequence erred by a point mutation. When a precise as thymidine in base pairing (1). ABEs utilize an adeno- correction is impossible, BE-FF aims to mutate by- sine deaminase enzyme to perform adenosine deamination, stander nucleotides in order to induce synonymous resulting in an inosine. During translation inosine acts as corrections that will correct the coding sequence. To guanosine (6), hence the activity of ABE yields an A to G measure BE-FF practicality, we analysed a database transition (2). By targeting the complementary strand, it is of human pathogenic point mutations. Out of the possible to indirectly convert G to A by CBE and T to C by transition mutations, 60.9% coding sequences could ABE. Taken together, CBEs and ABEs are capable of per- be corrected. Notably, 19.4% of the feasible cor- forming all combinations of transition substitutions. While point mutations account for 58% of disease-causing genetic rections were not achieved by precise corrections variants in humans, transition substitutions comprise 61% but only by synonymous corrections. Moreover, 298 of the pathogenic point mutations (7). cases of transversion-derived pathogenic mutations Notably, contrary to other CRISPR mediated gene edit- were detected to be potentially repairable by base ing methods, base editing does not involve DNA double- editing via synonymous corrections, although base strand breaks (DSBs); thus, conferring a higher degree of editing is considered impractical for such mutations. safety as DSBs may result in error-prone mutagenic re- pair pathways (alternative end joining and single-strand an- nealing) (8), p53 activation (9,10), large deletions and rear- INTRODUCTION rangements (11), integration of foreign genomes at the tar- Base editors (BEs) allow programmable genome editing in get site (12) and more. Furthermore, compared to the ho- terms of a single nucleotide transition; purine to purine mology directed repair (HDR) pathway that is thought as and pyrimidine to pyrimidine (A↔G and C↔T, respec- the only precise resolution amongst DSB repair pathways, tively) (1,2). The base editing technology employs the base editing is both more efficient (1) and allows editing of * To whom correspondence should be addressed. Tel: +972 3 9376130; Email: doffen@post.tau.ac.il Correspondence may also be addressed to Roy Rabinowitz. Email: royr2@mail.tau.ac.il C The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
2 Nucleic Acids Research, 2020 Table 1. BEs repository Major activity Minor activity Base editor Substitution site (distance from PAM) site (distance from PAM) PAM Ref. # BE1, BE2, BE3, HF-BE3, C to T 13–17 10–12, 18–19 NGG (1,23–25) BE4(max), BE4-Gam YE1-BE3 C to T 14–16 17 NGG (26) YEE-BE3 C to T 15 16 NGG (26) VQR-BE3 C to T 10–17 NGAN (26) VRER-BE3 C to T 11–18 NGCG (26) Downloaded from https://academic.oup.com/nar/advance-article-abstract/doi/10.1093/nar/gkaa215/5816857 by guest on 30 May 2020 SaBE3, SaBE4, SaBE4-Gam C to T 10–19 NNGRRT (24,26) (21nt gRNA) Sa(KKH)-BE3 (21nt gRNA) C to T 10–19 NNNRRT (26) Cas12a-BE C to T 10–12 downstream 8–9, 13 downstream TTTV (27) Target-AID C to T 17–19 13–16 NGG (28) Target-AID-NG C to T 17–19 13–16 NG (29) xBE3 C to T 13–17 10–12, 18–19 NG (30) eA3A-BE3 C to T when C 13–17 10–12, 18–19 NGG (31) comes after T BE-PLUS C to T 7–17 5–6 NGG (32) CP-CBEmax variants C to T 12–17 10–11* may exhibit NGG (33,34) editing upstream to the protospacer evoAPOBEC1-BE4max C to T 13–18 19–20, 9–12 NGG (35) evoFERNY-BE4max C to T 13–18 19–20 NGG (35) evoCDA1-BE4max C to T 9–20 7–8* may exhibit editing NGG (35) upstream to the protospacer ABE 7.9 A to G 13–16 12, 17 NGG (2) ABE 7.10 A to G 14–17 13 NGG (2) ABE 7.10* A to G 13–17 12,18–19 NGG (36) xABE, NG-ABEmax A to G 14–17 13 NG (30,34) ABESa (21nt gRNA) A to G 10–16 NNGRRT (37) Sa(KKH)-ABE (21nt gRNA) A to G 10–16 NGA (37,38) VRER-ABE A to G 15–17 13–14 NGCG (37) VQR-ABE A to G 15–17 13–14 NNNRRT (37,38) CP-ABEmax variants A to G 14–17 7–13 NGG (33,34) post-mitotic cells that are unable to undergo DSB-mediated instead of correction of the gene. In some cases, bystander HDR (13,14). A diverse toolbox of CBEs and ABEs is es- base editing leads to a synonymous mutation compared to sential for developing treatments based on base editing for the intended sequence and may be accepted as a successful disease-associated point mutations. Along with the discov- base editing outcome (e.g. ACTCTA [Thr,Leu] to ATTTTA ery of natural Cas proteins and development of synthetic [Ile, Leu] where threonine is the variant and isoleucine is variants, the BEs toolbox expands with novel CBEs and the reference amino acid). A BE is comprised of Cas and ABEs. A pivotal consideration in gRNA design in gen- deaminase enzymes fused together by a linker. Thus, each eral and base editing in particular, is the protospacer adja- BE has its own unique features: PAM compatibility, gRNA cent motif (PAM) limitation. The PAM is a short sequence length, orientation relative to the PAM, affinity to the target within the target DNA that has an essential role in the bind- sequence, target nucleotide (C or A), efficiency, activity win- ing of the Cas protein. The motif must be flanking the tar- dow width and its distance from PAM, off-targets, protein get sequence as directed by the gRNA, downstream or up- size and more. stream according to the Cas type (type II and type V, re- Since single-nucleotide variants (SNVs) naturally vary in spectively) in order to induce DNA cleavage by the Cas pro- genetic context, a diverse range of BEs is essential to pre- tein (15). As the PAM determines the binding site of the cisely adjust at least one to a given SNV. In base editing Cas protein to the DNA, it dictates the activity window re- experimental design, one should consider the properties of gion of the BE. Therefore, targeting a particular nucleotide the available BEs alongside their basic fit to perform tran- is narrowed by the presence of a PAM in a precise distance sition of the target nucleotide. Due to the large selection of from the activity window as determined by the BE. Each BEs (Table 1) and the complexity of identifying proper BEs BE has a major activity window, where base editing occurs to a target site, the necessity of a computational tool arises. most efficiently, and minor activity window(s) in which the gRNA design and off-targets prediction tools are available BE exhibits some degree of editing in significantly lower for general purposes such as gene-knockouts (16–19). How- rates. Within the major activity window, all the target nu- ever, such tools use reference genomes as a template, while cleotides (C or A) are prone to undergo base editing. Con- point mutations and patient-derived cells differ from the ref- sequently, if a target nucleotide is flanked by the same nu- erence genome and therefore such tools are not suitable for cleotide, both will be edited and an unintended mutation designing base editing experiments for treating point muta- may be introduced to the DNA (bystander base editing), tions. Moreover, such tools are not customized for base edit-
Nucleic Acids Research, 2020 3 Downloaded from https://academic.oup.com/nar/advance-article-abstract/doi/10.1093/nar/gkaa215/5816857 by guest on 30 May 2020 Figure 1. Base editing correction scenarios. The gRNA and PAM sequences appear in bright blue and yellow, respectively. The major activity window of the base editor is shown as A.W. in orange. The left sequences represent the pathogenic SNV (red) sequences and the right sequences represent the simulated base-edited (blue) sequences. The target nucleotides within the activity window are marked with blue background. (A) Precise correction: a transition mutation precisely repaired by VQR-BE3. (B–D) Synonymous correction scenarios. The resulting DNA sequence does not match the reference allele; however, the translated protein sequence matches. (B) Multiple bases synonymous correction: in addition to the target nucleotide, a bystander nucleotide lies within the activity window and undergoes base editing. (C) On-target synonymous correction: the variant nucleotide (T) is not restored to the reference nucleotide (A), but to another nucleotide (C). The resulted codon, however, is encoded to the reference AA. (D) Bystander synonymous correction: the target nucleotide remains intact while a bystander editing restores the reference protein sequence. ing and thus, do not take under consideration the activity RESULTS window of BEs and the produced coding sequence. Existing A database of human pathogenic point mutations and their tools that are base editing oriented, do not match suitable applicable BEs BEs for specific SNVs (20,21), or lack the possibility to ex- amine the translation outcome of the edited sequence (22). First, we sought to assess the potential of base editing to To magnify the potential of base editing in treating as many treat human pathogenic point mutations. To that end, we cases as possible, the utilization of multiple Cas varieties assembled a large collection of pathogenic SNVs and iden- and the ability to translate DNA sequences and compare tified four possible scenarios of successful base editing: (i) the editing outcome are needed. To that end, we developed Precise correction in which the resulting edited DNA se- BE-FF, a tool that receives SNVs data, analyzes the refer- quence resembles the desired reference sequence (Figure ence and variant sequences and their translated outcomes 1A). (ii) Multiple bases synonymous correction: editing and matches the suitable BEs out of all available BEs. To as- of the erroneous nucleotide together with bystander nu- sess the potential of base editing as a therapeutic approach cleotides that yields a correction of the target nucleotide for genetic diseases, we demonstrate the efficiency of BE- and synonymous mutations of bystander nucleotides (Fig- FF on a dataset of human pathogenic and likely-pathogenic ure 1B). (iii) On-target synonymous correction is the case SNVs. Furthermore, we established the BE-FF DB, a com- in which the target nucleotide is converted into a different prehensive database that includes pathogenic SNVs that can nucleotide other than the reference one, though this con- be edited via base editing. version rescues the protein sequence, i.e. yields a synony-
4 Nucleic Acids Research, 2020 Downloaded from https://academic.oup.com/nar/advance-article-abstract/doi/10.1093/nar/gkaa215/5816857 by guest on 30 May 2020 Figure 2. Human pathogenic mutations repaired by base editing. (A) Ratios of editable SNVs out of total SNVs for all substitution combinations. (B) Ratios of editable and non-editable SNVs for transition mutations (60.9% and 39.1%, respectively) and transversion mutations (1.8% and 98.2%, respectively). In total, 38.6% of the tested pathogenic SNVs were repairable. (C) Heatmap representation of the frequency of repaired transversion-derived AA substitutions (y axis - reference AAs, x axis – variant AAs). Five AA substitutions were repairable: I>M, L>F, R>G, R>W and R>* (52%, 16%, 33%, 63% and 57% of the total of the transversion-derived mutations for each, respectively). mous codon (Figure 1C). (iv) Base editing of a bystander (39). The SNVs dataset on which we performed the anal- nucleotide within the codon of the pathogenic point mu- ysis contained 43,504 SNVs; 27,098 transitions and 16,406 tation (bystander synonymous correction) rescues the pro- transversions (supplementary file 1). In theory, any transi- tein sequence without editing the pathogenic SNV. The lat- tion mutation could be corrected given that it is positioned ter is mostly advantageous for transversion point muta- within the major activity window of a suitable BE. Indeed, tions. While BEs are unable to reverse the DNA sequence we found that 60.9% of the transitions can be repaired (Fig- of transversion mutations to match the reference sequence, ure 2A and B). Notably, 19.4% of them could not be pre- editing a bystander nucleotide may result in a proper amino cisely reversed but may be corrected only by synonymous acids (AA) substitution that matches the reference protein corrections (Supplementary Figure S1). Even though no ex- sequence (Figure 1D). While the first two scenarios enable isting BE can repair a transversion SNV, we detected 298 the correction of transition mutations, the last two scenar- transversion-derived pathogenic point mutations (1.8% of ios also allow for the correction of transversion mutations the total transversion mutations) for which the resulting AA as they exploit codon degeneracy of several AAs. could be corrected, i.e. by inducing a transition editing in SNVs data was obtained from NCBI’s dbSNP (https:// the SNV site or a bystander site to generate a synonymous www.ncbi.nlm.nih.gov/snp, SNVs with either pathogenic or codon (Figure 2B and supplementary file 2). likely-pathogenic clinical significance). The DNA sequences We further examined which transversion-derived AA were fetched from Genome Browser (http://genome.ucsc. substitutions could be corrected via base editing. Accord- edu) and the associated phenotypes from ClinVar (https: ing to our analysis, in case that the following transversion- //www.ncbi.nlm.nih.gov/clinvar). Accessions of insertion, derived AA substitutions occurred: I>M, L>F, R>G, deletion or multiple nucleotide variants were excluded due R>W and R>*, a suitable BE could be found for its correc- to the incompatibility to correct them by a single base tion in 52%, 16%, 33%, 63% and 57% of their occurrences, editing. SNVs within the mitochondrial chromosome were respectively (Figure 2C). As expected, the majority of pos- excluded due to the mitochondrial distinct genetic code sible synonymous correction of transversions are those of
Nucleic Acids Research, 2020 5 Table 2. Base editing tools comparative table Benchling (https://www. Tool BE-FF BE-Designer (20) beditor (21) benchling.com/) BEable-GPS (22) BE varietiesa 17 CBEs and 9 Limited (3 CBEs, 1 12 CBEs and 8 Limited (CBEs Limited (only ABEs ABE) ABEs only) CBEs) Customized user Support customized Support customized Support customized Support customized Support customized defined BE support deaminase type, deaminase type and deaminase type as PAMs. Customized PAM, activity Downloaded from https://academic.oup.com/nar/advance-article-abstract/doi/10.1093/nar/gkaa215/5816857 by guest on 30 May 2020 PAM, activity activity window. well as hypothetical activity window or window, gRNA window and gRNA Limited to BEs, PAM, activity deaminase not orientation and orientation predefined PAMs window and gRNA supported length. Limited to and their gRNA orientation CBEs only orientations Identify suitable BEs V X X X V (limited to CBEs) to correct specific point mutations Translate editing V V X V X outcome and detect synonymous corrections Identify the BEs for V X X X X correcting the outcome of a transversion mutation User interface Webserver Webserver GUI or command Integrated as a Webserver line (requires feature on the installation). Benchling web Limited OS support interface Support multiple V V V X X SNVs analysis Off-targets V (limited to V V V (limited to X assessment NGG-based BEs) NGG-based CBEs) Targeting approach • Detects suitable Shows the predicted Shows the predicted Shows the potential Target region can be BEs to reverse a base-editing base editing gRNAs for a specified. Shows the given SNV. outcome for a given outcome for a given user-defined DNA base editing • Can be utilized for sequence by a sequence by a region within a outcome of selected designing base user-defined BE user-defined BE sequence file and BEs editing-mediated presents the editing therapeutics, or outcome for the generating point pre-defined BE. mutations Input format • Fetch by SNP ID • Multiple SNVs file Multiple SNVs file. DNA sequence file Standard input by • Fetch by genomic • Standard input by Requires several user coordinates of user parameters diverse genomes including genome, • Multiple SNVs file coordinates, • Standard input by transcript id, ref and user var values for DNA and AA a Base editors with the same properties are counted as a single base editor. e.g. BE1, BE2, BE3, HF-BE3, BE4(max) and BE4-Gam share the same parameters and therefore considered as the same BE AAs that are encoded by six codons (leucine, L and argi- versed by CBEs (G to A). Serine (S), although encoded by nine, R). The third position of the isoleucine (I) codons is six codons as well, could not be recovered by base editing considered the solely threefold degenerate site, meaning that due to the difference between its two sets of codons that do a substitution in that position to two out of three alternative not allow the codon flexibility of leucine and arginine (UCN nucleotides results in no change of the AA. Only a change of and AGY; where N complies to A/C/G/U thus generating H (A/C/U) to G would result in an I to M missense muta- a synonymous mutation in the flexible site a-priori and Y tion. Therefore, mutations of Isoleucine to Methionine (M) complies to C/U thereby only a transversion substitution caused by transversions (T to G or C to G), could be re- could have corrected this site).
6 Nucleic Acids Research, 2020 BE-FF: base editors functional finder – a web tool that iden- cance of BE-FF in base editing gRNA design. We utilize tifies BEs to correct SNVs the properties of 26 base editors (17 CBEs and 9 ABEs) that vary in their Cas proteins, deaminase enzymes and linkers We established a web tool that receives SNV data and and therefore provide a broad toolbox to perform base edit- matches suitable BEs to correct the variation. The sequence ing. The development of novel BEs contributes to the ex- and the base variant may be given manually by the user, pansion of the base editing toolbox and advances base edit- fetched according to an rsID (accession ID in dbSNP), ing towards future therapeutics and research applications. fetched according to genomic coordinates of 56 genomes We compared BE-FF to existing tools and found it to be or uploaded in a batch file. Together with the flanking re- valuable due to its compatibility with both CBEs and ABEs, Downloaded from https://academic.oup.com/nar/advance-article-abstract/doi/10.1093/nar/gkaa215/5816857 by guest on 30 May 2020 gions of the SNV in the DNA sequence, the reading frame the ability of translation and comparing the translated se- of the sequence is utilized to translate the sequence. All quences to identify synonymous corrections, vast repertoire 26 BEs (Table 1) are available and examined to match the of BEs and a simple web-based user interface. BE-FF is query. BE-FF supports user defined BE properties to allow ideal for finding base editing solutions to repair specific researchers the utilization of novel or unpublished BEs. Ad- point mutations. A recent study by Anzalone et al. reports ditional BEs will be optional upon their publication. The a novel method termed prime editing to make any type of tool does not limit the repertoire of BEs according to the edit (insertion, deletion, transition and transversion) by the base substitution. Thus, for any given SNV, an attempt to CRISPR/Cas system (40). However, prime editing is more match any of the BEs is made to detect ones that perform complex and requires additional refinements compared to precise correction as well as synonymous correction. The base editing. Hence, base editing is considered favorable reverse-complement sequences are also considered for cor- when possible. BE-FF is currently unable to provide off- rection of the coding sequence. While a precise correction targets assessments for BEs with a PAM other than NGG, requires a full match of both the DNA and AA sequences, and therefore, such off-targets assessment using comple- synonymous corrections are considered positive when only mentary tools (e.g. CRISTA (16), Cas-OFFinder (41), CC- the AA sequences match and the DNA sequences do not. Top (19) and others) is suggested. For researchers intend- For clarity, the output is divided into two parts, precise ing to make use of the BE-FF database, in case the muta- corrections and synonymous corrections. For NGG-based tion of interest is missing, it is suggested to check whether BEs, off-targets assessment is offered via CRISTA (16), a it appears on the full dataset we used. Otherwise, it is rec- third-party tool. ommended to use the web tool to analyze the variation of interest. Moreover, BE-FF detects possible minor editing Comparison to available tools according to the defined positions of the minor activity win- We compared BE-FF to four available base-editing design dow. In such cases, an indication will appear stating that mi- tools and report the differences in a comparative table (Ta- nor editing may occur. It is recommended to compare the ble 2). Notably, BE-Designer, Benchling and beditor share actual experimental outcomes of the candidate BEs to iden- a similar purpose of demonstrating the editing outcome of tify the most suitable BE. a user-defined base editor on a given point mutation. In contrast, BE-FF finds the suitable base editors to revert the DATA AVAILABILITY variation of a given point mutation. BEable-GPS presents a similar utility; however, it does not consider the trans- The BE-FF web tool is freely available at: https://www. lated outcome of the edited sequence, therefore, if the pur- danioffenlab.com/be-ff. pose is to correct the coding sequence, it disregards possible The code is available at: https://github.com/ synonymous corrections. Moreover, BEable-GPS only sup- RoyRabinowitz/BE-FF. ports CBEs, while ABEs are excluded from its scope. IMPLEMENTATION DISCUSSION BE-FF is web-based and does not require installation or In this study, we report the feasibility of utilizing base edit- specific specifications. ing to correct coding sequences that include point muta- tions that could not be precisely repaired. Even though sev- SUPPLEMENTARY DATA eral tools for base-editing design exist, BE-FF is the first to suggest BEs for the correction of the coding sequence rather Supplementary Data are available at NAR Online. than exact point-mutation. By considering mutations that induce synonymous corrections, BE-FF expands the target- ACKNOWLEDGEMENTS ing scope of base editing and in particular, allows to correct transversion-derived mutations. Our analysis demonstrates S.A. is supported by PhD fellowships provided by the Roth- that the following transversion-derived substitutions: I>M, schild Caesarea Foundation and the Edmond J. Safra Cen- L>F, R>G, R>W and R>*, may sometimes be repairable ter for Bioinformatics at Tel-Aviv University. via base editing and encourages considering base editing as an ideal approach for correcting such mutations. Among FUNDING the repairable transversion mutations there are SNVs asso- ciated with varied conditions including cystic fibrosis, deaf- Funding for open access charge: Sackler School of ness, Fanconi anemia and more, emphasizing the signifi- Medicine, Tel Aviv University.
Nucleic Acids Research, 2020 7 Conflict of interest statement. None declared. 20. Hwang,G.H., Park,J., Lim,K., Kim,S., Yu,J., Yu,E., Kim,S.T., Eils,R., Kim,J.S. and Bae,S. (2018) Web-based design and analysis tools for CRISPR base editing. BMC Bioinformatics, 19, 542. 21. Dandage,R., Després,P.C., Yachie,N. and Landry,C.R. (2019) beditor: a computational workflow for designing libraries of Guide REFERENCES RNAs for CRISPR-Mediated base editing. Genetics, 212, 377–385. 1. Komor,A.C., Kim,Y.B., Packer,M.S., Zuris,J.A. and Liu,D.R. (2016) 22. Wang,Y., Gao,R., Wu,J., Xiong,Y.C., Wei,J., Zhang,S., Yang,B., Programmable editing of a target base in genomic DNA without Chen,J. and Yang,L. (2019) Comparison of cytosine base editors and double-stranded DNA cleavage. Nature, 533, 420–424. development of the BEable-GPS database for targeting pathogenic 2. Gaudelli,N.M., Komor,A.C., Rees,H.A., Packer,M.S., Badran,A.H., SNVs. Genome Biol., 20, 218. Downloaded from https://academic.oup.com/nar/advance-article-abstract/doi/10.1093/nar/gkaa215/5816857 by guest on 30 May 2020 Bryson,D.I. and Liu,D.R. (2017) Programmable base editing of A•T 23. Rees,H.A., Komor,A.C., Yeh,W.-H., Caetano-Lopes,J., Warman,M., to G•C in genomic DNA without DNA cleavage. Nature, 551, Edge,A.S.B. and Liu,D.R. (2017) Improving the DNA specificity and 464–471. applicability of base editing through protein engineering and protein 3. Jinek,M., Chylinski,K., Fonfara,I., Hauer,M., Doudna,J.A. and delivery. Nat. Commun., 8, 15790. Charpentier,E. (2012) A programmable dual-RNA-guided DNA 24. Komor,A.C., Zhao,K.T., Packer,M.S., Gaudelli,N.M., endonuclease in adaptive bacterial immunity. Science, 337, 816–821. Waterbury,A.L., Koblan,L.W., Kim,Y.B., Badran,A.H. and Liu,D.R. 4. Cong,L., Ran,F.A., Cox,D., Lin,S., Barretto,R., Habib,N., Hsu,P.D., (2017) Improved base excision repair inhibition and bacteriophage Wu,X., Jiang,W., Marraffini,L.A. et al. (2013) Multiplex genome Mu Gam protein yields C:G-to-T:A base editors with higher engineering using CRISPR/Cas systems. Science, 339, 819–823. efficiency and product purity. Sci. Adv., 3, eaao4774. 5. Qi,L.S., Larson,M.H., Gilbert,L.A., Doudna,J.A., Weissman,J.S., 25. Koblan,L.W., Doman,J.L., Wilson,C., Levy,J.M., Tay,T., Arkin,A.P. and Lim,W.A. (2013) Repurposing CRISPR as an Newby,G.A., Maianti,J.P., Raguram,A. and Liu,D.R. (2018) RNA-guided platform for sequence-specific control of gene Improving cytidine and adenine base editors by expression expression. Cell, 152, 1173–1183. optimization and ancestral reconstruction. Nat. Biotechnol., 36, 6. Yasui,M., Suenaga,E., Koyama,N., Masutani,C., Hanaoka,F., 843–846. Gruz,P., Shibutani,S., Nohmi,T., Hayashi,M. and Honma,M. (2008) 26. Kim,Y.B., Komor,A.C., Levy,J.M., Packer,M.S., Zhao,K.T. and Miscoding properties of 2 -deoxyinosine, a nitric oxide-derived DNA Liu,D.R. (2017) Increasing the genome-targeting scope and precision Adduct, during translesion synthesis catalyzed by human DNA of base editing with engineered Cas9-cytidine deaminase fusions. polymerases. J. Mol. Biol., 377, 1015–1023. Nat. Biotechnol., 35, 371–376. 7. Rees,H.A. and Liu,D.R. (2018) Base editing: precision chemistry on 27. Li,X., Wang,Y., Liu,Y., Yang,B., Wang,X., Wei,J., Lu,Z., Zhang,Y., the genome and transcriptome of living cells. Nat. Rev. Genet., 19, Wu,J., Huang,X. et al. (2018) Base editing with a Cpf1-cytidine 770–788. deaminase fusion. Nat. Biotechnol., 36, 324–327. 8. Ceccaldi,R., Rondinelli,B. and D’Andrea,A.D. (2016) Repair 28. Nishida,K., Arazoe,T., Yachie,N., Banno,S., Kakimoto,M., pathway choices and consequences at the double-strand break. Tabata,M., Mochizuki,M., Miyabe,A., Araki,M., Hara,K.Y. et al. Trends Cell Biol., 26, 52–64. (2016) Targeted nucleotide editing using hybrid prokaryotic and 9. Ihry,R.J., Worringer,K.A., Salick,M.R., Frias,E., Ho,D., vertebrate adaptive immune systems. Science, 353, aaf8729. Theriault,K., Kommineni,S., Chen,J., Sondey,M., Ye,C. et al. (2018) 29. Nishimasu,H., Shi,X., Ishiguro,S., Gao,L., Hirano,S., Okazaki,S., p53 inhibits CRISPR–Cas9 engineering in human pluripotent stem Noda,T., Abudayyeh,O.O., Gootenberg,J.S., Mori,H. et al. (2018) cells. Nat. Med., 24, 939–946. Engineered CRISPR-Cas9 nuclease with expanded targeting space. 10. Haapaniemi,E., Botla,S., Persson,J., Schmierer,B. and Taipale,J. Science, 361, 1259–1262. (2018) CRISPR–Cas9 genome editing induces a p53-mediated DNA 30. Hu,J.H., Miller,S.M., Geurts,M.H., Tang,W., Chen,L., Sun,N., damage response. Nat. Med., 24, 927–930. Zeina,C.M., Gao,X., Rees,H.A., Lin,Z. et al. (2018) Evolved Cas9 11. Kosicki,M., Tomberg,K. and Bradley,A. (2018) Repair of variants with broad PAM compatibility and high DNA specificity. double-strand breaks induced by CRISPR–Cas9 leads to large Nature, 556, 57–63. deletions and complex rearrangements. Nat. Biotechnol., 36, 765–771. 31. Gehrke,J.M., Cervantes,O., Clement,M.K., Wu,Y., Zeng,J., 12. Hanlon,K.S., Kleinstiver,B.P., Garcia,S.P., Zaborowski,M.P., Bauer,D.E., Pinello,L. and Joung,J.K. (2018) An APOBEC3A-Cas9 Volak,A., Spirig,S.E., Muller,A., Sousa,A.A., Tsai,S.Q., base editor with minimized bystander and off-target activities. Nat. Bengtsson,N.E. et al. (2019) High levels of AAV vector integration Biotechnol., 36, 977–982. into CRISPR-induced DNA breaks. Nat. Commun., 10, 4439. 32. Jiang,W., Feng,S., Huang,S., Yu,W., Li,G., Yang,G., Liu,Y., 13. Ran,F.A., Hsu,P.D., Wright,J., Agarwala,V., Scott,D.A. and Zhang,F. Zhang,Y., Zhang,L., Hou,Y. et al. (2018) BE-PLUS: a new base (2013) Genome engineering using the CRISPR-Cas9 system. Nat. editing tool with broadened editing window and enhanced fidelity. Protoc., 8, 2281–2308. Cell Res., 28, 855–861. 14. Yeh,W.-H., Chiang,H., Rees,H.A., Edge,A.S.B. and Liu,D.R. (2018) 33. Oakes,B.L., Fellmann,C., Rishi,H., Taylor,K.L., Ren,S.M., In vivo base editing of post-mitotic sensory cells. Nat. Commun., 9, Nadler,D.C., Yokoo,R., Arkin,A.P., Doudna,J.A. and Savage,D.F. 2184. (2019) CRISPR-Cas9 circular permutants as programmable scaffolds 15. Cong,L., Ran,F.A., Cox,D., Lin,S., Barretto,R., Habib,N., Hsu,P.D., for genome modification. Cell, 176, 254–267. Wu,X., Jiang,W., Marraffini,L.A. et al. (2013) Multiplex genome 34. Huang,T.P., Zhao,K.T., Miller,S.M., Gaudelli,N.M., Oakes,B.L., engineering using CRISPR/Cas systems. Science, 339, 819–823. Fellmann,C., Savage,D.F. and Liu,D.R. (2019) Circularly permuted 16. Abadi,S., Yan,W.X., Amar,D. and Mayrose,I. (2017) A machine and PAM-modified Cas9 variants broaden the targeting scope of base learning approach for predicting CRISPR-Cas9 cleavage efficiencies editors. Nat. Biotechnol., 37, 626–631. and patterns underlying its mechanism of action. PLoS Comput. 35. Thuronyi,B.W., Koblan,L.W., Levy,J.M., Yeh,W.-H., Zheng,C., Biol., 13, e1005807. Newby,G.A., Wilson,C., Bhaumik,M., Shubina-Oleinik,O., Holt,J.R. 17. Haeussler,M., Schönig,K., Eckert,H., Eschstruth,A., Mianné,J., et al. (2019) Continuous evolution of base editors with expanded Renaud,J.-B., Schneider-Maunoury,S., Shkumatava,A., Teboul,L., target compatibility and improved activity. Nat. Biotechnol., 37, Kent,J. et al. (2016) Evaluation of off-target and on-target scoring 1070–1079. algorithms and integration into the guide RNA selection tool 36. Ryu,S.-M., Koo,T., Kim,K., Lim,K., Baek,G., Kim,S.-T., Kim,H.S., CRISPOR. Genome Biol., 17, 148. Kim,D.-E., Lee,H., Chung,E. et al. (2018) Adenine base editing in 18. Labun,K., Montague,T.G., Krause,M., Torres Cleuren,Y.N., mouse embryos and an adult mouse model of Duchenne muscular Tjeldnes,H. and Valen,E. (2019) CHOPCHOP v3: expanding the dystrophy. Nat. Biotechnol., 36, 536–539. CRISPR web toolbox beyond genome editing. Nucleic Acids Res., 47, 37. Hua,K., Tao,X. and Zhu,J.-K. (2019) Expanding the base editing W171–W174. scope in rice by using Cas9 variants. Plant Biotechnol. J., 17, 499–504. 19. Stemmer,M., Thumberger,T., del Sol Keyer,M., Wittbrodt,J. and 38. Yang,L., Zhang,X., Wang,L., Yin,S., Zhu,B., Xie,L., Duan,Q., Mateo,J.L. (2015) CCTop: an intuitive, flexible and reliable Hu,H., Zheng,R., Wei,Y. et al. (2018) Increasing targeting scope of CRISPR/Cas9 target prediction tool. PLoS One, 10, e0124633.
8 Nucleic Acids Research, 2020 adenosine base editors in mouse and rat embryos through fusion of (2019) Search-and-replace genome editing without double-strand TadA deaminase with Cas9 variants. Protein Cell, 9, 814–819. breaks or donor DNA. Nature, 576, 149–157. 39. Barrell,B.G., Bankier,A.T. and Drouin,J. (1979) A different genetic 41. Bae,S., Park,J. and Kim,J.-S. (2014) Cas-OFFinder: a fast and code in human mitochondria. Nature, 282, 189–194. versatile algorithm that searches for potential off-target sites of 40. Anzalone,A.V., Randolph,P.B., Davis,J.R., Sousa,A.A., Koblan,L.W., Cas9 RNA-guided endonucleases. Bioinformatics, 30, 1473–1475. Levy,J.M., Chen,P.J., Wilson,C., Newby,G.A., Raguram,A. et al. Downloaded from https://academic.oup.com/nar/advance-article-abstract/doi/10.1093/nar/gkaa215/5816857 by guest on 30 May 2020
You can also read