UGI relocation inside Cas9 reduces Cas9 dependent off target effects in cytosine base editors

ugi-relocation-inside-cas9-reduces-cas9-dependent-off-target-effects-in-cytosine-base-editors
UGI relocation inside Cas9 reduces Cas9 dependent off target effects in cytosine base editors

Introduction

The first generation of cytosine base editors (CBEs) was constructed through the fusion of cytidine deaminase enzymes with CRISPR/Cas9 to enable efficient and precise C-to-T conversions without inducing double-stranded DNA breaks1,2,3,4. CBEs rely on cytidine deaminase for cytosine (C) deamination to uracil (U)5,6, where U in DNA adopts thymine (T)-like base-pairing properties. However, the persistence of U within DNA recognized by uracil DNA glycosylase (UDG) as DNA damage, and further triggers base excision repair that reverts U:G intermediates to original C:G pairs, thereby compromising the C-to-T editing efficiency7.

To address this limitation, the second-generation CBEs incorporated a bacteriophage-derived uracil glycosylase inhibitor (UGI) fused to the carboxyl-terminus of Cas9 nickase (nCas9)1. This UGI addition effectively suppresses endogenous UDG activity and enhanced C-to-T conversion efficiencies. Nevertheless, UGI addition at nCas9 terminus enhanced both on-target and off-target C-to-T editing simultaneously, ultimately exacerbating off-target effects1.

We propose that integrating UGI within nCas9 could lead to UGI spatial reorganization, which might reduce UNG inhibition at off-target regions while preserve localized inhibition of UNG at targeted genomic regions, thereby reducing off-target DNA effects. Since integration of deaminase domains within nCas9 architecture preserved efficient on-target base editing activity while enhancing editing precision and specificity8,9,10, investigating the impact of UGI relocation within nCas9 on off-target effects is highly valuable for CBE improvement. Here we extend this principle by systematically evaluating UGI relocation within distinct nCas9 internal regions compared to canonical C-terminal fusion. This exploration aims to identify optimal protein architectures that simultaneously retain high editing efficiency while mitigating Cas9-dependent off-target effects, potentially informing next-generation CBE engineering strategies.

Results

To systematically identify optimal UGI integration sites within nCas9 that improve both on-target efficiency and editing specificity, we selected classical CBE variant YE1, known for its minimal Cas9-independent off-target activity, as the framework for UGI relocation analysis11,12,13. By systematic insertion of UGI at 23 distinct positions within nCas9 described previously9,10, we generated a series of YE1-UGI-X CBE variants (where X denotes the insertion site) (Fig. 1a). These constructs were subsequently evaluated in HEK293T cells using the endogenous HEK4 locus for on-target assessment and the well-characterized off-target (OT) locus OT2 for off-target profiling14.

Fig. 1
figure 1

Profiling of the CBE variants with UGI relocation into different nCas9 internal regions. (a) Schematics of UGI relocation inside nCas9 to generate engineered CBEs. (b) Heatmap showing DNA on-target activity (left), off-target activity (middle) and the relative ratio of DNA on- to off-target editing frequencies (right) of the 23 YE1-UGI-X CBE variants. (c) Schematics of 2A-UGI relocation inside nCas9 to generate engineered CBEs. (d) Heatmap showing DNA on-target activity (left), off-target activity (middle) and the relative ratio of DNA on- to off-target editing frequencies (right) of the 23 YE1-2A-UGI-X CBE variants. X = internal regions inside nCas9. Data shown here as an average editing frequency with n = 3 biological replicates. Detailed statistical analysis and P value described in Sup. Tables 1 and 2.

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After co-transfection of candidate CBE variants and target sgRNA for 72 h in HEK293T cells, double positive cells were collected by flow cytometry for on- and off-target editing analysis. It was revealed that 20 out of 23 YE1-UGI-X variants maintained robust on-target editing at HEK4 (> 50% C-to-T conversion frequencies) (Fig. 1b). Notably, 20/23 engineered variants exhibited significantly reduced Cas9-dependent off-target activity at OT2 locus compared to the classical YE1 CBE (Fig. 1b, Sup. Table 1).

It has been reported that split Cas9 led to reduced off-target cleavage15, so we added P2A linker upstream of UGI combining the features of split Cas9 and UGI relocation, and further examined whether P2A-UGI insertion inside nCas9 could similarly preserve on-target efficacy while reducing Cas9-dependent off-target effects (Fig. 1c). Although P2A-UGI would lead to the generation of two separate protein fragments, sgRNA would serve as scaffold to mediate structural complementation and functional assembly. Among the 23 engineered YE1-2A-UGI-X CBE variants, 16 constructs retained robust HEK4 on-target editing with > 50% C-to-T conversion frequencies (Fig. 1d). Crucially, 21/23 YE1-2A-UGI-X CBE variants exhibited significantly reduced Cas9-dependent off-target activity at HEK4 OT2 locus compared to the YE1-2A-UGI-C control (Fig. 1d, Sup. Table 2). Notably, the effective positions differed between the YE1-UGI-X and YE1-2A-UGI-X CBE variants (Fig. 1b, d), which may be attributed to the P2A-mediated generation of two separate protein fragments in YE1-2A-UGI-X, necessitating additional structural and functional assembly to achieve efficient editing at target sites.

Additionally, we included a no-UGI CBE control variant (YE1-no UGI) and observed significantly lower C-to-T conversion efficiency (average: 12.6%) compared to YE1-UGI-X and YE1-2A-UGI-X variants (averages: 16.3–91.7%; Fig. 1b, d, Fig. S1a–b, Sup. Table 3). Since UGI depletion is known to elevate C-to-A and C-to-G conversions16,17, we quantified these non-C-to-T edits in our constructs. Both YE1-UGI-X and YE1-2A-UGI-X variants induced low frequencies of C-to-A (average: 0.02–2.1%) and C-to-G (average: 0.1–10.1%) conversions while YE1-no UGI induced significantly higher C-to-A and C-to-G conversion frequencies (average: 8.8% for C-to-A; average 36.3% for C-to-G) (Fig. S1a–b, Sup. Tables 3–4). Therefore, these results indicated that UGI is functionally intact in the CBE variants YE1-UGI-X and YE1-2A-UGI-X.

Above screening suggested that UGI relocation within nCas9 could enhance base editor specificity. According to the on- and off-target editing effects, five representative YE1-UGI-X variants (X = 113, 535, 1029, 1154, 1282) and five YE1-2A-UGI-X CBE variants (X = 312, 459, 715, 1154, 1282), demonstrating preserved editing activity with reduced Cas9-dependent off-target profiles were selected for further characterization.

To comprehensively evaluate the editing specificity of selected CBE variants, we performed systematic off-target profiling at nine validated off-target (OT) loci associated with EMX1, HBG1, and BCL11A targets14,18. It was revealed that the classical YE1 CBE exhibited substantial off-target activity at three EMX1-associated OT sites (editing range: 6.44–19.62%) and one BCL11A OT site (4.39%). Strikingly, the engineered YE1-UGI-1282 variant showed dramatic reductions in off-target editing across all examined loci, achieving average efficiencies of 0.47% (EMX1-OT2), 4.65% (EMX1-OT3), 0.50% (EMX1-OT4), and 0.84% (BCL11A-OT1) at these sites (Fig. 2, Sup. Table 5).

Fig. 2
figure 2

Cas9-dependent off-target assessment for selected CBE variants with UGI relocation inside nCas9. On-target and Cas9-dependent DNA off-target editing induced by CBE variants described in this study. 3 off-target sites (OTs) of EMX1, 3 OTs of HBG1 and 3 OTs of BCL11A reported previously are included. Editing frequencies plotted here are C positions at on- and off-target sites. Data shown here as mean ± s.e.m. with n = 3 biological replicates. Detailed statistical analysis and P value described in Sup. Table 5.

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Notably, the on-target/off-target selectivity ratios of YE1-UGI-1282 exhibited 37- to 104-fold improvements over the classical YE1 system. For EMX1-associated OT sites, the selectivity ratios reached 122.2 (vs. YE1: 3.3), 12.4 (vs. 6.1), and 115.3 (vs. 10.0). Similarly, at HBG1-related OT loci, ratios improved to 345.4 and 334.5 compared to YE1’s 128.4 and 132.1. Enhanced specificity was also observed at BCL11A OT sites with ratios of 84.6 (vs. 21.1) and 103.4 (vs. 76.5), demonstrating the broad-spectrum specificity enhancement achieved through UGI repositioning (Fig. 3).

Fig. 3
figure 3

On- and off-target editing ratios for selected CBE variants with UGI relocation inside nCas9. On- and off-target editing ratios at selected off-target sites with obvious C-to-T editing efficiencies were quantified for different CBE variants.

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To confirm the broader applicability of our engineering strategy, we investigated whether UGI integration at the 1282 locus of nCas9 could enhance specificity across diverse deaminase-derived CBEs beyond the YE1 system. We engineered two reprogrammed TadA8e variants: GC (V28G-N46C) and GGATY (V28G-A48G-I49A-V82T-N108Y), both optimized for exclusive C-to-T conversion with eliminated adenine base editing activity19. Comparative analysis revealed that canonical TadA8e(GC)- and TadA8e(GGATY)-CBEs exhibited substantial Cas9-dependent off-target effects at HEK4-OT2 (30.6% and 38.1%, respectively) and all three EMX1-associated OT loci (GC: 39.9%/5.43%/11.98%; GGATY: 30.2%/3.02%/6.57%). Remarkably, corresponding 1282-UGI-modified counterparts displayed reduced HEK4-OT2 off-target activity to 4.3% (TadA8e(GC)-UGI-1282) and 3.03% (TadA8e(GGATY)-UGI-1282), while EMX1-OT efficiencies decreased to 3.90%/0.08%/0.34% and 8.72%/1.72%/1.52%, respectively (Fig. 4, Sup. Table 6).

Fig. 4
figure 4

Cas9-dependent off-target assessment for CBE variants containing reprogrammed TadA8e deaminases. On-target and Cas9-dependent DNA off-target editing induced by CBE variants containing TadA8e mutants V28G-N46C (GC) and V28G-A48G-I49A-V82T-N108Y (GGATY). 1 OT of HEK4, 3 OTs of EMX1, 3 OTs of HBG1 and 3 OTs of BCL11A reported previously are included. Editing frequencies plotted here are C positions at on- and off-target sites. Data shown here as mean ± s.e.m. with n = 3 biological replicates. Detailed statistical analysis and P value described in Sup. Table 6.

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Then further characterization across five additional endogenous loci confirmed that the 1282-UGI relocation retained highly active on-target editing functionality comparable to classical C-terminal UGI placement (Fig. 5). Additonally, it was revealed that YE1-NO UGI induced the lowest C-to-T conversions as compared to selected CBE variants described in this study (Fig. 5, Sup. Table 7). However, YE1-NO UGI induced the highest C-to-A, and C-to-G conversion frequencies (an average of 0.5% to 70.7%) to CBEs variants reported in this study (all < 1%) (Fig. S2). These findings demonstrate that UGI relocation represents a universal strategy for specificity enhancement in CBEs, while maintaining efficient on-target editing activity critical for precision genome editing applications.

Fig. 5
figure 5

Editing signatures of CBE variants with UGI relocation inside nCas9 1282 region. The C-to-T DNA editing efficiency of selected CBE variants containing deaminase YE1, GC or GGATY at additional 5 endogenous sites was depicted in Heatmap. Data shown here as an average editing frequency from n = 3 biological replicates. Detailed statistical analysis and P value described in Sup. Table 7.

Full size image

Discussion

Multifaceted engineering strategies have been explored for the development of high-performance CBEs, including systematic screening and rational engineering of deaminase variants11,13,19,20,21,22,23,24,25,26,27,28, internal integration of deaminase domains inside the nCas9 architecture10,29, UGI dosage optimization through copy number modulation30 and fusion of auxiliary protein domains31 to enhance editing precision or efficiency.

While existing engineering strategies have accelerated the evolution of CBE systems, notably achieving substantial mitigation of RNA and Cas9-independent DNA off-target effects, persistent challenges remain in addressing Cas9-dependent DNA off-target activity. Studies mainly focused on Cas9 engineering to generate high-fidelity Cas9 variants32,33,34,35, which have been leveraged to reduce the Cas9-dependent DNA off-target activity of base editors. However, these engineered Cas9 variants generally led to reduced on-target binding capacity, thereby restricting the applications of derived CBEs. Our findings demonstrate that spatial relocation of UGI within the nCas9 architecture constitutes a critical determinant of editing precision, operating through mechanisms distinct from conventional UGI dosage optimization. Although the UGI relocation strategy is specific to CBE engineering, as UGI is not required for other precision genome editing tools such as ABEs and prime editors, the underlying concept of functional domain relocation is broadly applicable and could be extended to other functional domains. Through systematic screening, we identified multiple optimal integration sites within nCas9, with the strategically positioned 1282 locus emerging as a representative insertion site to minimize Cas9-dependent DNA off-target effects. This engineering paradigm expands the CBE optimization toolkit, providing complementary enhancement to current base editing platforms through architectural fine-tuning of different components.

Methods

Plasmid construction

The UGI coding sequence was integrated into designated nCas9 loci through BamHI/NheI (New England Biolabs, Ipswich, MA) dual restriction enzyme cloning. To generate insertion-compatible nCas9 backbones, site-directed mutagenesis was performed on the PX461 vector (Addgene #48140) using the KOD-Plus Mutagenesis strategy (Toyobo, Osaka, Japan; Cat# KOD-201). Cytidine deaminase variants were subsequently cloned into PvuI/BglII-linearized (New England Biolabs) nCas9-UGI constructs. For sgRNA expression vector assembly, the U6-sgRNA-EF1α-T2A-mCherry backbone was linearized with BsaI (New England Biolabs), followed by insertion of annealed oligonucleotides encoding target-specific guide sequences.

Cell culture and transfection procedure

HEK293T cells (GNHu17, Cell Bank of Chinese Academy of Sciences, Shanghai) were maintained in DMEM (Gibco, Waltham, MA; Cat# C11995500) supplemented with 10% fetal bovine serum (Sigma-Aldrich, St. Louis, MO; Cat# F0193) at 37 °C under 5% CO₂. Cells were seeded into 48-well plates (Corning, Corning, NY) 24 h prior to transfection. Plasmid DNA mixtures (base editor: sgRNA vector = 3:1 mass ratio) were complexed with PEI 25 K™ transfection reagent (Polysciences, Warrington, PA; Cat# 23966) in serum-free medium for 30 min at room temperature before adding into the wells. Cells were cultured for another 72 h and GFP/mCherry double-positive cells were isolated using a BD FACSAria™ Fusion cell sorter (BD Biosciences, San Jose, CA) for downstream analysis.

Base editing analysis

Sorted cells were lysed with DirectPCR reagent (Viagene Biotech, Ningbo, China; Cat# 302-C), followed by target amplification using KOD One™ PCR Master Mix (Toyobo; Cat# KMM-201). Amplicons were subjected to high-throughput sequencing (Illumina NovaSeq 6000) with paired-end 150 bp reads. Editing profiles were quantified using CRISPResso2 (v2.2.11) with default parameters.

Data availability

Raw high-throughput sequencing data will be available in the NCBI sequence Read Archive database PRJNA1228358. The plasmids described in this study will be deposited at Addgene.

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Acknowledgements

We acknowledge Haiyan Wu, Lijuan Quan, Yuli Jiang, and Yi Lv for technical assistance in flow cytometry. This work was supported by the National Natural Science Foundation of China (32371144 to T.L.C.), National Key R&D Program of China (2019YFA0111000), Shanghai Natural Science Foundation (20ZR1403100), and Shanghai Municipal Science and Technology Commission (20JC1419500).

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Authors and Affiliations

  1. Institute of Pediatrics, Children’s Hospital, Institutes for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Fudan University, Shanghai, 200032, China

    Zehao Shi & Tian-Lin Cheng

Authors

  1. Zehao Shi
  2. Tian-Lin Cheng

Contributions

T.L.C. conceived and designed the study. Z.H.S. executed molecular cloning and cellular experiments. Z.H.S. performed bioinformatics analysis. T.L.C. supervised all research phases and finalized the manuscript with input from all authors.

Corresponding author

Correspondence to Tian-Lin Cheng.

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Shi, Z., Cheng, TL. UGI relocation inside Cas9 reduces Cas9 dependent off target effects in cytosine base editors. Sci Rep 15, 35518 (2025). https://doi.org/10.1038/s41598-025-19482-w

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