Introduction
Base editors directly install point mutations in genomic DNA and have been widely applied in functional genomics and therapeutic development (
Gaudelli et al., 2017;
Komor et al., 2016). Approximately 58% of all known disease-associated genetic variants are point mutations, among which 47% of them could in principle be corrected through A-to-G base editing (
Rees and Liu, 2018). Therefore, the development of efficient and reliable adenine base editors (ABEs) provides new possibilities for the treatment of many genetic diseases.
Base editor ABE7.10 was an earlier ABE innovation achieved through directed evolution. It contains two deaminases: a native TadA and an evolved TadA variant (TadA*) (
Gaudelli et al., 2017). By optimizing codons, modifying nuclear localization signals (NLS), and utilizing directed evolution or phage-assisted evolution of ABE7.10, several variants with further enhanced editing efficiency and targeting range were developed, such as ABEmax (
Koblan et al., 2018), miniABEmax (
Grünewald et al., 2019b), ABE8s (
Gaudelli et al., 2020), and ABE8e (
Richter et al., 2020). The ABE8e contains a single TadA* domain with eight additional amino acid mutations (“TadA8e”) and exhibits 3 to 11 times higher activity than ABE7.10 (
Richter et al., 2020). The enhanced capability of ABE8e has raised great interest in its potential application for gene therapy and has been used in preclinical animal studies for many diseases, including spinal muscular atrophy (
Arbab et al., 2023), inherited cardiac diseases (
Lebek et al., 2023;
Reichart et al., 2023), heritable monogenic blood disorders such as sickle cell anemia (
Newby et al., 2021) and β-thalassemia (
Liao et al., 2023), cystic fibrosis (
Sun et al., 2024), and familial hypercholesterolemia (
Rothgangl et al., 2021).
Despite these advances, a key safety concern remains: off-target deamination at unintended genomic loci. Such off-target effects can be categorized into two distinct classes. The first is sgRNA-dependent off-target editing, which occurs at genomic sites bearing sequence similarity to the intended target site and typically involves off-target Cas9 binding. The second is sgRNA-independent off-target editing, which arises from the intrinsic deaminase activity of the base editor acting on exposed single-stranded DNA regions, independent of guide RNA specificity. Both classes may undermine the therapeutic utility of base editors. sgRNA-independent effects are particularly challenging to detect, as they do not align with predictable Cas9 binding sites. To address this, a genome-wide, unbiased assay called GOTI (genome-wide off-target analysis by two-cell embryo Injection) was developed (
Zuo et al., 2019), allowing detection of
de novo single-nucleotide variants (SNVs) induced by genome editors by comparing edited and unedited blastomeres from the same embryo. Using GOTI, it was shown that the cytosine editor BE3 induces substantial sgRNA-independent SNVs, while ABE7.10 does not (
Zuo et al., 2019). However, whether newer, high-efficiency ABEs such as ABE8e and its derivatives also exhibit such off-target effects remains incompletely characterized.
In this study, we systematically compared the activity of multiple ABEs across a library of 102 sgRNA target sites and confirmed that ABE8e exhibits the highest editing efficiency and a broad editing window. However, GOTI-based analysis revealed that ABE8e induces substantial sgRNA-independent off-target SNVs. To address this, we performed saturation mutagenesis at the eight residues of TadA8e and generated 152 single-residue and 6 double-residue variants. Among these, ABE8eY149V retained high on-target efficiency, showed a narrower editing window, and induced markedly fewer DNA and RNA off-target edits. Comprehensive comparisons revealed that ABE8eY149V achieves a more favorable balance than previously reported high-fidelity ABE variants, including ABE8eV106W, ABE8eV82G, ABE8eK20A/R21A, and ABE9, by uniquely combining robust editing with minimal off-target activity. Moreover, TadA8eY149V was compatible with different Cas homologs and enabled efficient correction at multiple disease-relevant loci in human cells. In vivo, dual AAV delivery of ABE8eY149V rescued the lethal phenotype in hereditary tyrosinemia type I (HTI) mice. These results establish ABE8eY149V as a highly efficient and specific base editor with strong potential for therapeutic applications.
Results
ABE8e exhibits high editing efficiency accompanied by a broad editing window
In order to identify the most suitable ABE-based gene editor for potential clinical application, we first compared the editing efficiency and window size among five well-studied ABEs (ABE7.10, ABE7.10
F148A, ABEmax, miniABEmax, and ABE8e) (Fig. S1A). To ensure comprehensive and unbiased assessment, we employed an sgRNA-target library detection strategy, as previously reported (
Xu et al., 2025). In brief, we constructed a plasmid library comprising 102 sgRNAs paired with corresponding target sequences (Fig. S1B) that were integrated into the genome of HEK293T cells via lentiviral infection (referred to as “102-sgRNA cells” hereafter). These sgRNAs contained at least one adenine located within 1 to 20 nucleotides from the end of the protospacer adjacent motif (PAM; Table S1). Each of the above five ABEs was transfected into 102-sgRNA cells and the base substitution frequencies and indels were subsequently calculated at target sites, respectively (Fig. 1A). Deep sequencing analysis of the 102 target sites in each group of editor-treated cells showed that ABE8e exhibited significantly higher on-target editing efficiency (35.9% on average) than the other ABEs (all ≤15.2%) (Fig. 1B). However, assessment of product purity indicated that ABE8e introduced significantly higher levels of indels and cytosine edits than other ABEs (Fig. 1C and 1D). In addition, using the previously defined criterion that the editing window comprises protospacer positions with ≥30% of the average peak editing efficiency (
Arbab et al., 2020;
Neugebauer et al., 2023), ABE8e displayed a markedly broader editing window (A2–A10) than the other four ABEs, including ABE7.10 (A4–A7), ABE7.10
F148A (A4–A6), ABEmax (A4–A7), and miniABEmax (A3–A7) (Fig. 1E).
ABE8e introduces substantially more genome-wide off-targets than other ABEs
To evaluate the genome-wide off-target effects mediated by each of the five ABEs described above, we performed GOTI assays using an sgRNA targeting the
Tyrosinase (
Tyr) gene. Given that BE3 reportedly induces substantial genome-wide off-target effects (
Jin et al., 2019;
Zuo et al., 2019), while YE1-BE3-FNLS shows relatively few such effects (
Zuo et al., 2020), we also included Cas9, BE3, and YE1-BE3-FNLS as comparison groups, using the same
Tyr sgRNA. For this experiment, mRNAs encoding each editor were injected into one blastomere of two-cell embryos derived from Ai9 (CAG-LoxP-Stop-LoxP-tdTomato) mice along with the
Tyr sgRNA and Cre-encoding mRNAs. On embryonic day 14.5 (E14.5), we sorted edited cells (tdTomato
+) and nonedited cells (tdTomato
−) by flow cytometry (Fig. 2A). After validating the on-target efficiency by Sanger sequencing (Fig. S2), we performed whole-genome sequencing (WGS) of both edited and nonedited cells (50× coverage) from all treatment groups (
n ≥ 3 embryos per group), and then called SNVs and indels in edited cells using three independent algorithms (Mutect2, Lofreq, and Strelka), with nonedited cells from the same embryo serving as a reference.
The WGS analysis further identified the respective on-target efficiencies of the Cas9, CBE, and ABE editors (Fig. S3A). We found that the average SNVs in edited cells ranged from 12 to 21 per embryo in the ABE7.10, ABE7.10
F148A, ABEmax, miniABEmax, YE1-BE3-FNLS, and Cas9 groups, a level not significantly different from that in the Cre-only control cells (averaged 13 SNVs per embryo) (Fig. 2B). In contrast, we found a relatively high number of SNVs in cells edited with BE3 (averaged 225 per embryo), consistent with previous reports (
Jin et al., 2019;
Zuo et al., 2019). Unexpectedly, our results also showed that ABE8e induced a markedly higher number of off-target SNVs (averaged 371 per embryo) than BE3 using the same
Tyr sgRNA, and more than 28 times higher than that detected in the Cre-only control. Analysis of the distribution of base conversion types by each editor revealed predominantly (95%) C-to-T and G-to-A off-target conversion for BE3 editing and predominantly (94%) A-to-G and T-to-C base off-target conversions for ABE8e editing (Figs. 2C, S3B and S3C). In addition, sequence logos plots indicated that BE3 generally introduced off-targets in the TC sequence context, whereas ABE8e preferentially induced off-targets at TA sites (Fig. 2D). These biases were the same as those respectively observed with the cytosine deaminase, APOBEC1 (
Komor et al., 2016) and adenine deaminase TadA8e (
Xiao et al., 2024). Moreover, we found that none of the off-target sites were shared among various ABE8e-treated embryos (Fig. 2E) or overlapped with predicted off-targets of co-injected sgRNA (Fig. 2F), indicating that ABE8e-induced mutations were sgRNA-independent and attributed to TadA8e, similar to the that found for BE3. These TadA8e-induced
de novo mutations were randomly distributed across the chromosomes (Fig. S3D), and we also noted that all eight of these editors had a slightly higher number of indels in edited cells relative to the Cre control, although none of the average indel counts exceeded 13 per embryo (Fig. S3E). To further validate the genome-wide off-target effects of ABE8e, we included an additional sgRNA that did not target any sequence in either the human or mouse genome, referred to as the nontargeting (NT) sgRNA (Fig. S4). In line with the above findings, both BE3 and ABE8e induced significantly more SNVs compared with the Cre-only control group. Specifically, ABE8e treatment resulted in an average of 313 SNVs per embryo, exceeding the number induced by BE3 (average of 270 SNVs per embryo). In contrast, no significant differences in SNV counts were observed between any of the other editor groups and Cre control. These results suggested that ABE8e introduces substantially more genome-wide off-target SNVs than other ABE variants, and even more than the well-characterized genome-wide off-target effects associated with BE3.
ABEs are frequently applied to introduce or revert point mutations in genes associated with diseases, enabling the creation or study of disease models in mice. To further verify the off-target effects of ABE8e, we conducted GOTI assays using three distinct sgRNAs targeting disease-related genes, including
Dmd (
Liang et al., 2018),
Fah (
Song et al., 2020) and
PCSK9 (
Rothgangl et al., 2021) (Fig. 2G). We observed that ABE8e mediated high-average on-target editing efficiency (
Dmd, 85.8%;
Fah, 73.6%;
PCSK9, 91.3%) (Fig. S5A). In agreement with our off-target analysis for the
Tyr editing, ABE8e induced an average of 279, 343, and 387 SNVs when targeting
Dmd,
Fah, and
PCSK9, respectively, an SNV level 21 to 30 folds higher than that in the Cre-only control embryos (Figs. 2H and S5B), with A-to-G and T-to-C conversion accounting for 91% to 95% of off-target mutations (Figs. 2I and S5C). Of note, although ABEs have been reported to catalyze cytosine conversions (
Jeong et al., 2021;
Kim et al., 2019), we detected no obvious off-target C-to-T/G/A cytosine deamination activity with any of these editors. All the off-target sites with three distinct editing consistently showed preferential A to G conversion at TA sites (Fig. 2J). Additionally, no significant overlap in off-target SNVs was detected among replicates of each editing (Fig. 2K), nor did these SNVs overlap with predicted off-target mutations based on sgRNAs (Fig. 2L). Similar to
Tyr, ABE8e editing of
Dmd,
Fah, and
PCSK9 induced a slightly higher number of indels compared with the Cre control (Fig. S5D). These results further confirmed that ABE8e introduces genome-wide off-target effects in an sgRNA-independent manner.
Saturation mutagenesis of TadA8e yields ABE8e variants with narrowed editing windows and high activity
Previous studies have shown that narrowing the editing windows of deaminases through mutagenesis could reduce sgRNA-independent off-target effects in both DNA and RNA (
Chen et al., 2023;
Grünewald et al., 2019a;
Kim et al., 2017;
Zhou et al., 2019;
Zuo et al., 2020). We therefore sought to improve ABE8e fidelity by narrowing the editing window of TadA8e. The TadA8e exhibiting high off-target rate was derived from the off-target-free TadA* deaminase in ABE7.10, ABEmax, and miniABEmax, via eight mutations at sites S109, R111, N119, N122, D147, Y149, I166, and N167 (Fig. 3A). We thus surmised that the off-target effects of TadA8e were due to one or more of these mutations.
To narrow the editing window while retaining its high on-target efficiency, we conducted a saturation mutagenesis of these eight sites in TadA8e. Our saturation mutagenesis analysis of single mutations resulted in a panel of 152 ABE8e variants, with 19 different amino acids substituted at each of the eight sites. We then transfected each variant into cell lines harboring 102 sgRNA library and performed targeted deep sequencing analysis. As shown in Figs. 3B, 3C and S6, wild-type ABE8e (A2–A10, peak A-to-G efficiency 44.0%) exhibited a broad editing window, with the highest editing efficiency observed at position A5. Mutations at R111 reduced editing efficiency, whereas mutations at I166 and N167 maintained or increased editing activity. However, alterations at I166 and N167 did not affect the overall width of the editing window. Based on our goal of achieving both higher editing efficiency and a narrower editing window, mutations at R111, I166, and N167 were excluded from further analyses.
Notably, we found that 16 of the 19 mutations at S109 resulted in narrowing of the editing window, with S109F inducing the most pronounced effect (with protospacer positions A3–A7) and showing the highest editing efficiency (averaged 42.3% at A5). All mutations at position N119 narrowed the editing window by one to four nucleotides, with reduced protospacer positions and higher editing efficiency than ABE8e (N119Q, A3–A9, 47.8%; N119D, A3–A10, 46.8%; N119C, A3–A10, 48.6%). Four mutations at N122 (N122F, N122L, N122V, and N122A) exhibited relatively high editing efficiencies (48.1%, 46.6%, 47.9%, and 41.0%, respectively) and slight narrowing of the editing windows (A2–A9). The D147K mutation also induced slight narrowing of the editing window (A2–A9) but significantly higher editing efficiency (53.1%) than ABE8e. The majority of Y149 mutations conferred significant narrowing of the editing windows (A3–A7), and some of which exhibited high editing efficiency (Y149L, 45.1%; Y149I, 40.6%; Y149M, 45.9%; Y149V, 42.4%).
Further comparison of A-to-G editing at different protospacer positions, bystander A editing, and undesired cytosine conversion among the following 13 mutations at 5 different sites: S109F, N119Q, N119D, N119C, N122F, N122L, N122V, N122A, D147K, Y149L, Y149I, Y149M, and Y149V (Fig. 3D and 3E). Among these mutations, Y149V resulted in the narrowest editing window (A3–A7), with the lowest average bystander A editing (A2/A5 + A8/A5: 0.18) and undesired C editing (C5/A5: 0.0090), and was therefore chosen as the best candidate among all single mutations of ABE8e. The S109F and N119Q mutations ranked second and third, respectively, among the single-mutation candidates. Furthermore, we also examined the effects of selectively introducing two simultaneous mutations in the eight amino acid sites. The results showed that combining these mutations generally reduced editing window, but also decreased editing efficiency (Fig. 3F). Notably, the S109F/Y149V combination had a relatively narrower editing window (A3–A6) than S109F and Y149V, but showed lower editing efficiency at A5 (33.8% on average). Based on these results, we selected three ABE8e variants for further investigation: Y149V (42.4% efficiency at A5; window A3–A7, with the lowest bystander and C editing), S109F (42.3% efficiency at A5; window A3–A7, with low bystander and C editing), and the narrower-window variant S109F/Y149V (33.8% efficiency at A5; window A3–A6).
ABE8eY149V combines high-efficiency on-target base editing with minimal sgRNA-dependent off-target activity
Several high-precision ABE8e variants have been developed to decrease RNA off-target effects (e.g., ABE8e
V106W (
Rees et al., 2019;
Richter et al., 2020), ABE8e
V82G (
Grünewald et al., 2019b), ABE8e
K20A/R21A (
Grünewald et al., 2019b)) or reduce bystander editing (e.g., ABE8e
N108Q/L145T, also known as ABE9,
Chen et al., 2023). To benchmark the newly identified variants, ABE8e
Y149V, ABE8e
S109F, and ABE8e
S109F/Y149V, we first performed a side-by-side comparison with these four previously reported variants in the 102-sgRNA cell library.
We found that ABE8eY149V and ABE8eS109F exhibited A5 editing efficiency comparable with those of ABE8eV106W, ABE8eV82G, and ABE8eK20A/R21A; none of which showed a significant decrease relative to wild-type ABE8e. However, ABE8eY149V displayed a narrower editing window than ABE8eS109F, wild-type ABE8e, and the other three variants (Fig. 4A and 4B). Although the dual mutant ABE8eS109F/Y149V exhibited an even narrower editing window than ABE8eY149V, its A5 editing efficiency was reduced by 8.6%. Among all eight ABEs tested, ABE9 showed the lowest overall editing activity, with A4 or A5 editing efficiencies below 9%, which was significantly lower than those of the other variants. Considering this balance between efficiency and precision, ABE8eY149V was selected for further validation at endogenous genomic loci.
We next evaluated the editing performance of ABE8eY149V at 15 endogenous sites for comparison with ABE8e and other reported high-fidelity variants (Fig. 4C–E). At key positions A5 and A6, ABE8eY149V achieved high editing efficiencies (63.7% and 68.3%, respectively), comparable with ABE8e (61.6%, 69.2%), ABE8eV106W (61.1%, 67.0%), ABE8eV82G (56.5%, 60.1%), and ABE8eK20A/R21A (58.7%, 65.1%). However, its editing window (A4–A8) was clearly narrower than those of the above four variants (typically A3–A10). Although ABE9 has a narrower editing window (A5–A6) than ABE8eY149V, its editing efficiencies at the A5 and A6 positions (38.4% and 35.3%) were significantly lower than those of ABE8eY149V.
To further assess sgRNA-dependent off-target effects, we examined 14 potential off-target sites predicted by Cas-OFFinder, associated with two sgRNA target loci (ABE site 2 and ABE site 3) (Fig. 4F). ABE8eV82G showed higher off-target activity than ABE8e (maximum efficiency: 8.0% vs. 6.3%), while ABE8eV106W and ABE8eK20A/R21A induced moderately lower off-target effects. ABE8eY149V displayed very low off-target activity, comparable with ABE9 at most sites, with a maximum efficiency not exceeding 1.3%.
Taken together, comprehensive comparisons across the 102-sgRNA cell library and multiple endogenous loci revealed that ABE8eY149V consistently achieved high on-target efficiency while minimizing sgRNA-dependent off-target effects.
ABE8eY149V minimizes genome-wide and transcriptome-wide off-target effects
Building on its favorable editing characteristics of ABE8eY149V, including high on-target activity, a narrow editing window, and negligible sgRNA-dependent off-target effects, we next sought to determine whether it also exhibits reduced sgRNA-independent off-target activity at both the genomic and transcriptomic levels. To this end, we performed GOTI analysis in mouse embryos and RNA-seq in HEK293T cells, comparing ABE8eY149V with four other high-fidelity ABE8e variants (ABE8eV106W, ABE8eV82G, ABE8eK20A/R21A, and ABE9).
For GOTI-based evaluation of genome-wide DNA off-target effects, we used the well-characterized PCSK9 sgRNA, which has been previously applied for cholesterol reduction in mice and primates (Fig. 2G). Except for ABE9, all variants exhibited high on-target editing efficiencies at the PCSK9 site in tdTomato+ cells (>80%) (Fig. S7A). ABE8eY149V and the other four variants induced fewer genome-wide SNVs than ABE8e to varying degrees (Fig. 5A). ABE8eY149V induced the fewest SNVs (24 per embryo on average), whereas ABE8eV82G, ABE8eK20A/R21A, ABE8eV106W, and ABE9 caused relatively high SNV counts (296, 175, 110, and 37 per embryo, respectively). Analysis of SNV mutation patterns revealed predominant A-to-G and T-to-C conversions with a preference for TA motifs in ABE8eV106W (73.9%), ABE8eV82G (89.4%), and ABE8eK20A/R21A (66.0%) groups (Figs. 5B, 5C and S7B). To further validate the low genome-wide DNA off-target activity of ABE8eY149V, we performed an additional GOTI analysis targeting the Tyr locus. Consistent with the PCSK9 results, ABE8eY149V induced only background-level genome-wide SNVs comparable with the Cre control, with no detectable enrichment of A-to-G/T-to-C substitutions or TA motifs (Fig. S8A–C).
To assess transcriptome-wide RNA off-target effects, we transfected HEK293T cells with each ABE8e variant and an sgRNA targeting HEK293-site 1 (
Zhou et al., 2019;
Zuo et al., 2020). Cells transfected with GFP/mCherry backbone served as vector-only control group. RNA-seq analysis showed that ABE8e introduced substantially more RNA SNVs (average: 8,795) than the vector control (average: 1,463). Among the variants, ABE8e
V82G caused the highest number of RNA SNVs (12,894), followed by ABE8e
K20A/R21A (4,790) and ABE8e
V106W (2,444), all of which were significantly higher than baseline (Fig. 5D). In contrast, ABE8e
Y149V and ABE9 showed no significant increase in RNA SNV counts compared with vector control. Motif and substitution pattern analysis further revealed that 96.3%, 92.0%, and 82.4% of SNVs in ABE8e
V82G, ABE8e
K20A/R21A, and ABE8e
V106W, respectively, were A-to-G or U-to-C transitions, primarily occurring at UA motifs (Fig. 5E and 5F). In contrast, ABE8e
Y149V and ABE9 exhibited no apparent mutation bias or motif preference relative to controls. To further confirm the minimal transcriptome-wide RNA off-target effects of ABE8e
Y149V, we conducted RNA-seq analyses at two additional on-target sites in HEK293T cells (HEK293-site 2 and HEK293-site 3) (
Zhou et al., 2019). At both sites, ABE8e
Y149V exhibited RNA SNV profiles indistinguishable from the vector control, with no predominant A-to-G or U-to-C conversions and no enrichment of UA motifs (Fig. S8D–F).
Collectively, these results demonstrate that ABE8eY149V induces the lowest levels of sgRNA-independent off-target SNVs among all tested variants, achieving background-level off-target effects at both genome-wide and transcriptome-wide levels. This favorable balance between activity and fidelity is further illustrated in the 3D scatter plot (Fig. 5G), which summarizes the relationship among on-target efficiency, genome-wide DNA SNVs, and transcriptome-wide RNA SNVs for each variant. These findings establish ABE8eY149V as an optimized base editor that combines both high precision and robust activity.
Compatibility of TadA8eY149V with diverse CRISPR editing systems and expanded PAM accessibility for high-precision base editing
Considering the high editing efficiency with negligible off-target effects of ABE8e
Y149V, we fused TadA8e
Y149V with several other CRISPR systems (Fig. 6A) and examined whether its editing characteristics could be preserved and its activity be extended to A sites that were inaccessible via its canonical NGG PAM. Since SpRY nuclease can target al.ost all PAMs (
Walton et al., 2020), we replaced nSpCas9 with nSpRY in ABE8e and ABE8e
Y149V to construct the ABE8e-nSpRY and ABE8e
Y149V-nSpRY base editors, respectively. Both editors were then tested at 10, 8, 8, and 7 endogenous loci in HEK293T cells harboring NGH(A/C/T), NAN, NCN, and NTN PAMs, respectively. Targeted deep sequencing revealed that ABE8e
Y149V-nSpRY achieved comparable A-to-G editing efficiencies with ABE8e-nSpRY at positions A4 to A7 in 9 out of 10 NGH, 7 out of 8 NAN, 6 out of 8 NCN, and 5 out of 7 NTN sites (Fig. 6B–E). This analysis across four PAM types demonstrated that ABE8e
Y149V-nSpRY maintained a peak editing efficiency comparable with that of ABE8e-nSpRY while exhibiting a noticeably narrower editing window.
In addition, we constructed the ABE8e-nSaKKH and ABE8e
Y149V-nSaKKH editors to compare their activity at sites with the NNNRRT PAM (
Kleinstiver et al., 2015). Tests at six genomic loci indicated that ABE8e-nSaKKH exhibited high efficiency (>50%) between positions A6 to A14. ABE8e
Y149V-nSaKKH showed high A-to-G substitution activity at positions A10 to A13, with efficiency ranging from 49.5% to 65.8%, slightly lower than that of ABE8e-nSaKKH (Fig. 6F). Furthermore, ABE8e
Y149V-nSaKKH also demonstrated a narrower editing window (typically from A6 to A14) compared with ABE8e-nSaKKH (from A2 to A17; Fig. 6F).
We also generated the ABE8e-enIscB and ABE8e
Y149V-enIscB miniature base editors by fusing TadA8e
Y149V to the Cas9 ancestor, IscB (496 amino acids), with an NWRRNA TAM (
Altae-Tran et al., 2021;
Han et al., 2023). Across five genomic loci, ABE8e
Y149V-enIscB displayed its highest A-to-G conversion efficiency at A4 (27.2% on average), which was comparable with that of ABE8e-enIscB (28.6% on average). However, it showed relatively lower A editing activity at other positions than ABE8e-enIscB (Fig. 6G). Together, these results indicated that TadA8e
Y149V was compatible with a PAM-relaxed Cas9 variant, a hypercompact CRISPR, as well as an ancestral Cas9 system, thus expanding the scope of potential targets for high-efficiency adenine base editing.
Application of ABE8eY149V at disease-relevant loci in human cells
To explore the therapeutic potential of ABE8eY149V in correcting disease-associated mutations, we evaluated its on-target editing efficiency at seven clinically relevant loci in human cells using targeted deep sequencing.
We first targeted the
BCL11A enhancer, where specific A-to-G conversions are known to upregulate fetal hemoglobin expression, a well-established therapeutic approach for treating hemoglobinopathies such as sickle cell disease and β-thalassemia (
Richter et al., 2020). In HEK293T cells, we compared the ability of ABE8e and ABE8e
Y149V to simultaneously edit A4 and A7 within a single protospacer. Although ABE8e
Y149V exhibited slightly lower editing efficiency at A4 (54.8% vs. 65.3%) and A7 (61.1% vs. 65.4%), likely due to these positions being near the edge of its narrowed editing window, it generated a significantly higher proportion of reads with dual edits at both positions, consistent with its improved precision (Fig. 7A).
We next targeted two clinically relevant variants in the
HBG1 and
HBG2 promoter regions at positions −198 (A7) and −175 (A3), which are also known to enhance fetal hemoglobin expression (
Mayuranathan et al., 2023;
Richter et al., 2020). At position −198, ABE8e
Y149V exhibited slightly lower editing efficiency compared to ABE8e (30.3% vs. 35.8%), whereas at position −175, it achieved higher efficiency (58.9% vs. 54.4%). Importantly, at both sites, the proportion of precisely edited reads, defined as those containing only the intended A-to-G conversion without bystander edits, was substantially higher with ABE8e
Y149V, exceeding that of ABE8e by 5.3-fold and 8.1-fold, respectively (Fig. 7B).
To further evaluate its therapeutic potential, we tested ABE8e
Y149V at four pathogenic SNPs associated with genetic diseases:
POLG (linked to mitochondrial DNA depletion syndromes) (
Zhao et al., 2024),
SCN1A (Dravet syndrome) (
Zhao et al., 2024),
MYH7 (hypertrophic cardiomyopathy) (
Reichart et al., 2023), and
COL7A1 (recessive dystrophic epidermolysis bullosa) (
Banskota et al., 2022). We integrated 158-bp genomic segments containing these mutations into the HEK293T genome to mimic endogenous contexts. ABE8e
Y149V showed enhanced editing efficiency over ABE8e at the
POLG and
SCN1A loci, showed similar activity at
MYH7, and slightly reduced efficiency at
COL7A1. However, at all four loci, ABE8e
Y149V consistently yielded a significantly higher proportion of perfectly edited reads compared with ABE8e (
POLG: 77.7% vs. 39.8%;
SCN1A: 26.7% vs. 4.7%;
MYH7: 74.4% vs. 62.5%;
COL7A1: 78.1% vs. 67.9%) (Fig. 7C–F).
These results demonstrate that ABE8eY149V enables efficient and highly precise correction of disease-associated mutations, with a markedly reduced incidence of bystander editing.
ABE8eY149V editing of Hpd rescues lethality in HTI mice
Following the efficient correction of disease-associated mutations in human cells, we next evaluated the
in vivo therapeutic potential of ABE8e
Y149V in a mouse model of HTI, a fatal metabolic disorder caused by mutations in the
Fah gene. HTI results from loss-of-function mutations in fumarylacetoacetate hydrolase (FAH), a key enzyme in the tyrosine degradation pathway. This deficiency leads to the accumulation of toxic tyrosine metabolites, causing hepatocyte damage, progressive liver failure, and weight loss in both humans and mice (
Morrow and Tanguay, 2017). Pharmacological inhibition of an upstream enzyme, hydroxyphenylpyruvate dioxygenase (HPD), using nitisinone has been shown to prevent the accumulation of these toxic intermediates and thereby rescue the disease phenotype (
Song et al., 2020;
Yin et al., 2014). Previous reports have demonstrated that disrupting
Hpd using either Cas9 nuclease-mediated editing (
Pankowicz et al., 2016) or cytosine base editor (CBE)-mediated introduction of a premature stop codon (
Rossidis et al., 2018) can restore liver function and survival in this model. Building upon these strategies, we employed a precise base editing approach to disrupt
Hpd by mutating its start codon
in vivo using ABE8e
Y149V (Fig. 8A), thereby silencing gene expression without introducing double-strand breaks or indels.
Due to the limited cargo capacity of AAV (less than 5 kb), we employed a dual-AAV delivery system for ABE8e
Y149V. The editor was split into N- and C-terminal fragments, each fused to the Cfa intein (
Stevens et al., 2016), enabling posttranslational reconstitution
in vivo (Fig. 8B). The two constructs were packaged into AAV serotype 8 (AAV8) and delivered by tail vein injection into 6- to 8-week-old
Fah−/− mice. In parallel, we also delivered split ABE8e using a dual-AAV system to enable direct comparison of initial editing efficiencies. In a cohort maintained on nitisinone for 2 weeks postinjection, targeted deep sequencing analysis of liver tissues revealed that ABE8e
Y149V and ABE8e achieved comparable average on-target editing efficiencies (35.8% vs. 35.5%), whereas ABE8e
Y149V induced markedly lower levels of bystander A-to-G edits, C edits, and indel formation relative to ABE8e, indicating improved editing precision even without selective enrichment (Fig. S9).
In addition, we evaluated another cohort of ABE8eY149V-treated mice and saline-injected Fah−/− controls after nitisinone withdrawal. Following AAV injection, mice were maintained on oral nitisinone treatment in drinking water for 7 days, after which nitisinone was withdrawn (Fig. 8B). By day 32 postinjection, the saline-injected control mice lost on the average 20% of their body weight and had to be euthanized. By contrast, mice injected with ABE8eY149V-expressing AAVs were phenotypically indistinguishable from wild-type mice, with normal weight gain in the absence of nitisinone (Fig. 8C). Mice were harvested on day 30 to examine both the editing frequency and liver function. In ABE8eY149V-treated mice, deep sequencing of the Hpd genomic region in liver tissues demonstrated the occurrence of precise editing of A-to-G at the A6 position, with an average base-editing efficiency of 69.0% and negligible bystander A-to-G edits, bystander C edits, or indels (Fig. 8D). Additionally, immunohistochemistry (IHC) staining of liver sections with anti-HPD antibody detected widespread patches of HPD-negative hepatocytes (Fig. 8E). By monitoring the levels of serum biomarkers, including aspartate transaminase (AST), alanine transaminase (ALT), and total bilirubin, we found that the liver functions, which were defective in control saline-injected Fah–/– mice (without nitisinone), were totally rescued by the ABE8eY149V-treatment of Fah–/– mice (without nitisinone), to a level comparable with the wild-type mice and nitisinone-treated Fah–/– mice (Fig. 8F–H). These findings demonstrate that ABE8eY149V enables efficient and precise in vivo base editing and effectively rescues the disease phenotype in adult HTI mice, highlighting its strong potential for therapeutic genome editing.
Discussion
The number of studies investigating potential therapeutic applications of base editors has been rapidly increasing (
Chiesa et al., 2023;
Naddaf, 2023). However, the off-target and potentially deleterious effects induced by the deaminase of base editors (
Fiumara et al., 2024;
Pacesa et al., 2024;
Yan et al., 2023;
Zuo et al., 2019) highlight the urgent need for rigorous evaluation and effective mitigation strategies. A landmark study showed that the CBE “BE3” could induce widespread
de novo SNVs throughout the mouse genome (
Zuo et al., 2019), potentially causing adverse phenotypic effects (
Yan et al., 2023). These off-target effects were attributed to nonspecific interactions between the deaminase and exposed single-stranded DNA (ssDNA) regions (
Zuo et al., 2019). In this study, we focused on ABE8e, a versatile and highly efficient ABE that is widely used in recent preclinical gene therapy studies in a variety of mouse models of genetic disorders (
Arbab et al., 2023;
Lebek et al., 2023;
Liao et al., 2023;
Newby et al., 2021;
Reichart et al., 2023;
Sun et al., 2024). Using the GOTI method, we found that ABE8e introduces hundreds of genome-wide off-target SNVs in mouse embryos, while its predecessor, ABE7.10, showed negligible off-target effect. These results support the idea that the eight mutations introduced during the evolution of TadA8e from TadA* may have substantially increased its catalytic activity but at the cost of reduced target specificity, likely through enhanced activity on exposed ssDNA during replication or transcription.
To address this limitation, we performed saturation mutagenesis on the eight amino acid residues unique to TadA8e. This systematic screen identified Y149V as a single-residue substitution that significantly reduces both DNA and RNA off-target effects while maintaining high on-target editing activity. Previous structural analysis of ABE8e revealed that Y149 is located at the entrance of the catalytic pocket and forms hydrogen bonds with the nontarget DNA strand (NTS), particularly stabilizing ssDNA near the 3′ end of the editing window (
Lapinaite et al., 2020). Substituting this polar tyrosine with a hydrophobic valine likely destabilizes nonspecific interactions at the boundary of the window, thereby narrowing the editing range and reducing promiscuous substrate binding. Although this mechanistic insight helps explain the improved specificity of ABE8e
Y149V without compromising central-site editing efficiency, the precise molecular mechanism underlying these effects remains to be fully elucidated. Further structural and dynamic studies of the deaminase-DNA interface will be necessary to clarify how the Y149V substitution modulates enzyme specificity and activity.
We systematically benchmarked ABE8e
Y149V against four previously reported high-fidelity ABE8e variants, including ABE8e
V106W (
Rees et al., 2019;
Richter et al., 2020), ABE8e
V82G (
Grünewald et al., 2019b), ABE8e
K20A/R21A (
Grünewald et al., 2019b), and ABE9 (
Chen et al., 2023). Across both a 102-sgRNA library and 15 endogenous target sites, ABE8e
Y149V achieved peak on-target editing efficiencies comparable with ABE8e, similar to ABE8e
V106W, ABE8e
V82G, and ABE8e
K20A/R21A, and significantly higher than ABE9. Notably, among these high-efficiency variants, ABE8e
Y149V markedly reduced genome-wide and transcriptome-wide off-target SNVs to nearly background levels.
In conclusion, our study identifies ABE8eY149V as an advanced adenine base editor that combines robust on-target performance with high fidelity, achieving a favorable balance between efficiency and specificity and representing a promising tool for precise and safe therapeutic genome editing.
The Author(s) 2026. Published by Oxford University Press on behalf of Higher Education Press.