Abstract
Nei endonuclease VIII-like 1 (NEIL1) is a bifunctional human DNA glycosylase that catalyzes the first step of the base excision repair (BER) pathway by recognizing and excising oxidized bases, including thymine glycol and the further oxidation products of 7,8-dihydro-8-oxoguanine (8-oxoG), spiroiminodihydantoin, and guanidinohydantoin. Despite its critical role in maintaining genome stability, NEIL1 is expressed at relatively low endogenous cellular levels compared to other BER proteins such as OGG1, Polβ, and APE1. As a result, most cellular studies have relied on overexpression systems. Additionally, progress in studying NEIL1 has been hindered by the inconsistent availability and continuity of specific commercially available antibodies. To address this challenge, we developed single-domain nanobodies (VHHs) targeting NEIL1. A yeast 2 hybrid (Y2H) screen identified ten VHH hits with the top candidate, henceforth called A5, emerging multiple times. Here, we characterize the binding properties of A5 using a combination of biochemical and molecular techniques. Differential scanning fluorimetry and glycosylase activity assays indicate that recombinant A5 specifically stabilizes recombinantly expressed NEIL1, while not interfering with its glycosylase activity. Moreover, our data suggest that A5 preferentially binds to NEIL1’s N-terminal glycosylase domain rather than its C-terminal flexible tail, which is known to mediate protein-protein interactions. In live-cell imaging studies, an A5-mCherry chromobody colocalizes with NEIL1-GFP and is recruited to sites of laser-induced DNA damage, suggesting its potential as a molecular tool for visualizing NEIL1 dynamics. These findings establish A5 as a valuable probe for studying NEIL1 function and opens new avenues for exploring its role in DNA repair.
Keywords: Nanobody, base excision repair, NEIL1 DNA glycosylase
Graphical Abstract

1. Introduction
DNA repair mechanisms play a crucial role in maintaining genomic integrity and preventing the accumulation of mutations from everyday exogenous and endogenous damaging agents that would otherwise lead to various maladies1. Of the mammalian DNA repair pathways, base excision repair (BER) stands as a frontline defense against the accrual of non-bulky lesions (such as alkylation, oxidation, or abasic sites). The first step of BER, i.e. the recognition and removal of DNA lesions, is catalyzed by specialized enzymes called DNA glycosylases, of which 11 have been identified in mammals2,3. The endonuclease VIII (Nei)-like 1 (or NEIL1) DNA glycosylase, belonging to the Fpg/Nei family of glycosylases, is responsible for excising a broad spectrum of oxidized and alkylated bases2,4–6. As a bifunctional DNA glycosylase with both glycosylase and lyase activities, NEIL1 has the ability to cleave the damaged DNA base, generating an abasic site, as well as cleave the phosphodiester bond to create a single-stranded break in the DNA backbone2,7–10.
A comprehensive evaluation of NEIL1 function through in vitro characterization has faced significant challenges. Full-length NEIL1 consists of 390 amino acids, with over a quarter of the protein (100 residues at the C-terminus) classified as disordered. This C-terminal region plays a crucial role in protein-protein interactions with downstream BER factors and replication-associated proteins11–13. Structural studies have provided insights into truncated forms of NEIL1, including the crystal structure of unliganded NEIL1 lacking the last 56 residues (NEIL1-Δ56 previously7,14, as well as DNA-bound structures of NEIL1 missing 95 residues at the C-terminus (NEIL1-Δ95)15,16. However, the structure of the full-length NEIL1 enzyme remains unsolved owing to the large C-terminal flexible region. In addition to these structural limitations, NEIL1 is expressed at remarkably low levels in cells, making it difficult to study endogenous protein function. As a result, researchers have primarily relied on overexpression systems or biochemical approaches using purified NEIL111–13,17–24. This has hindered investigations into its subcellular distribution under various cellular stress conditions and DNA damage responses. Furthermore, the influence of other mammalian DNA glycosylases on NEIL1’s expression, localization, and activity remains poorly understood. Compounding these challenges, commercially available NEIL1 antibodies are often unreliable due to poor specificity and an inability to detect endogenous protein levels. The frequent discontinuation of these antibodies has further impeded the reproducibility and rigor of NEIL1 research, underscoring the need for more consistent and specific tools to advance the field.
To overcome these challenges, we have developed novel nanobodies against NEIL1 in collaboration with Hybrigenics Services SAS (Paris, France)20. Nanobodies, also known as single-domain antibodies or VHHs, are derived from the variable domain of heavy chain antibodies (HCAbs) found in camelids and sharks25,26. While they retain the high specificity and affinity of conventional antibodies, nanobodies offer distinct advantages owing to their smaller size and longer complementarity-determining regions (CDRs). These attributes enable nanobodies to access epitopes that may be sterically hindered or otherwise inaccessible to conventional antibodies or antibody derivatives (scFvs, single-chain variable fragments). Additionally, their compact dimensions facilitate superior tissue penetration, broadening their utility across a broad spectrum of applications in research, diagnostics, and therapeutics27–33. Notably, many traditional antibodies face challenges in terms of market longevity, a concern mitigated by the streamlined production process of nanobodies. The full nanobody sequence is encoded within a single exon, allowing for efficient cloning and large-scale expression in bacterial cultures under standard laboratory conditions20,34,35. Their modularity also enables easy tagging and fusion with fluorescent proteins or other molecular tools, making them highly versatile for diverse experimental applications. Furthermore, nanobodies are recognized as valuable crystallization partners, capable of stabilizing specific conformational states of target proteins35–37. Therefore, the development of anti-NEIL1 nanobodies represents a pivotal step toward establishing a dependable tool for the comprehensive study of NEIL1.
We previously determined the three-dimensional crystal structure of a NEIL1-specific nanobody20, establishing its structural framework. Here, we extend this work by characterizing the binding properties and functional impact of the anti-NEIL1 nanobody, designated A5, through biochemical and molecular approaches. Our findings highlight the utility of A5 as a robust tool for studying NEIL1, providing new opportunities to investigate its structural dynamics and cellular functions with greater precision.
2. Materials and Methods
2.1. Plasmids, Nanobody Expression, and Purification
Hybrigenics Services SAS (Paris, France) delivered the sequences of the top 10 VHHs in a pEBY vector containing a C-terminal 10x histidine (His) and Flag tags for E. coli expression. We further cloned the sequences into a pFUSE-mFc(IL2ss)NN-adapt vector fused to a mouse Fc fragment for minibody generation in mammalian cells. For purification, the C-terminal Flag and 10x His tag of the pEBY vector was reduced to 6x His and a TEV cleavable 6x His tag via standard cloning techniques and digested with NcoI and NotI (NEB) restriction enzymes (Fig. 1A). A5 expression and purification was performed as previously described (Fig. 1B)20.
Figure 1. Schematic representation of different A5 nanobody constructs.

A. An illustrative diagram depicting the various A5 constructs used in this study. These include A5 fused with different tags such as a 6xHis tag, a TEV-cleavable 6xHis tag, a 10xHis-Flag tag, mCherry for fluorescence, and a mouse IgG Fc region. B. SDS-PAGE analysis of purified A5–6His. The gel shows the molecular weight (MW) of purified A5–6His is aligned to the predicted value, ~15 kDa. Successful purification was achieved with ≥95% purity.
Briefly, A5–6His cell pellets were resuspended in a buffer containing 50 mM HEPES pH 7.4, 500 mM NaCl, 10% (v/v) glycerol, 1 mM ethylenediaminetetraacetic acid (EDTA), 1 mM dithiothreitol (DTT), 1 mM phenylmethylsulfonyl fluoride (PMSF), and cOmplete (EDTA-free protease inhibitor cocktail; Sigma), sonicated, and centrifuged at 25,000 × g. Clarified cell lysates were incubated with pre-equilibrated TALON Superflow beads (Cytiva) for 2 hours at 4 °C. Beads were washed with 10 column volumes of wash buffer (50 mM HEPES pH 7.4, 200 mM NaCl, 10% (v/v) glycerol, and 1 mM DTT), prior to elution with increasing elution buffer (50 mM HEPES pH 7.4, 200 mM NaCl, 10% (v/v) glycerol, 250 mM imidazole, and 1 mM DTT). The protein elutes in with 50% elution buffer and is subsequently concentrated and subjected to size exclusion chromatography (SEC) using a Superdex 200 column (GE Healthcare) in a buffer containing 50 mM HEPES pH 8.2, 200 mM NaCl, 10% (v/v) glycerol, and 1 mM DTT. Fractions were pooled, concentrated, and flash-frozen aliquots were stored at −80 °C.
NEIL1 was expressed and purified as previously described19, except for the size exclusion step that was performed in a buffer containing 50 mM HEPES pH 8.2, 200 mM NaCl, 10% (v/v) glycerol, and 1 mM DTT.
2.2. VHH-fc Production and Isolation
106 HEK 293 cells were seeded into a 10 cm dish and incubated until 70% confluent. 6 μg A5 pFuse DNA was diluted with 1.5 mL Opti-MEM. 6 μL lipofectamine was incubated with 1.5 mL Opti-MEM. Both solutions were incubated for 10 minutes, then mixed and incubated for 20 min. The solution was then added to the cells and incubated for 96 hours. Media was collected, flash frozen, and stored at −20°C.
2.3. Glycosylase Activity Assay
The TAMRA-labeled, thymine glycol (Tg)-containing, double stranded, 22-mer oligodeoxynucleotide (Fig. 2A) was generated by mixing 100 μM of each strand in 20 mM Tris-HCl pH 8.0 with 100 mM KCl and was heated to 95°C for 5 min and allowed to slowly cool to room temperature.
Figure 2. Effect of the A5 nanobody on NEIL1 glycosylase activity using a TAMRA-based fluorophore assay.

A. The DNA substrate consists of two strands: the lesion-containing strand labeled with a TAMRA fluorophore (F) at the 5’ end, and the complementary strand tagged with a black hole quencher 2 (BHQ2, Q) at the 3’ end. In the intact state, the proximity of the BHQ2 quenches the fluorescence of TAMRA. Upon glycosylase excision of the DNA lesion (X) and subsequent lyase-mediated cleavage of the DNA backbone, the fragment containing the cleaved lesion site (Y) is released, separating it from the quencher. This release restores fluorescence, indicating successful glycosylase and lyase activity. This figure is adapted from Jacobs, A. et al., 201359. B. Time-course analysis of NEIL1 activity in the presence of different concentrations of A5. Reactions contained 1x NEIL1 and 1x DNA substrate, and were monitored at 0, 50, 100, 400, and 1600 seconds. The addition of 50 nM (1x) or 500 nM(10x) A5 showed no effect of the relative fluorescence units (RFU), when compared to the control reaction without A5 (0x A5). C. NEIL1 glycosylase activity was assessed over 30 minutes with 50 nM DNA substrate and DNA:NEIL1 ratios ranging from 1:0.5 to 1:32 in the presence of 0 nM (0x), 50 nM (1x), and 500 nM (10x) A5. The RFU values indicate even under rate-limiting conditions A5 does not inhibit NEIL1 activity. Data are represented as mean ± SD. Statistical analysis was performed in GraphPad Prism 10 using the student’s t-test. Replicates (n) is 3–6 per experiment.
The activity assay was performed using 50 nM annealed oligo, 50 nM NEIL1, and varying concentrations of A5 (0, 50, and 500 nM) in a reaction buffer containing 20 mM Tris-HCl pH 8.0, 100 mM KCl, and 0.1% BSA. Reactions were carried out at room temperature until the indicated time point (0, 50, 100, 400, 1600 seconds) and quenched using 1 volume of 98% formamide with 5 mM EDTA. The fluorescence was subsequently analyzed on a TECAN infinite M1000Pro (excitation filter 525 nm, and emission filter 598 nm). The activity assay was also performed for 30 min using 50 nM of DNA substrate and increasing amounts of A5 (0, 25, or 500 nM) to vary the substrate:NEIL1 ratio (1:0, 1:0.5, 1:1, 1:2, 1:4, 1:8, 1:16, and 1:32). As a control, the assay was performed using identical ratios of substrate to BSA.
2.4. Differential Scanning Fluorimetry
Traditional Differential Scanning Fluorimetry:
Working stocks of NEIL1 and A5–10His-Flag were made at 65 μM in a buffer containing 50 mM HEPES pH 8.2, 100 mM NaCl, 10% glycerol, and 1 mM DTT. NEIL1-A5–10His-Flag were complexed by incubating the individual proteins together in a 1:1 molar ratio on ice for 1 hr. The assay was performed using a CFX96 Touch Real-Time PCR System (BioRad) with a final reaction containing 5x Sypro Orange dye was combined with 16 μM NEIL1, A5–10His-Flag, and NEIL1-A5–10His-Flag in 50 mM HEPES pH 8.2, 100 mM NaCl, 10% glycerol, and 1 mM DTT with a total volume of 25 μL. Sypro orange fluorescence was detected using the Fret channel and was measured between 10–95°C, with temperature increasing at 1°C per minute.
Nano Differential Scanning Fluorimetry:
All proteins were either purified and buffer exchanged into 50 mM HEPES, pH 8.2, 200 mM NaCl, 5% glycerol, 2 mM TCEP prior to performing DSF. DSF thermal unfolding profiles were obtained using the Prometheus NT.48 NanoDSF instrument, which has 48 capillary chambers (NanoTemper Technologies, LLC, South San Francisco, CA). Samples were excited at 290 nm, and their emissions were concurrently measured at 330 and 350 nm. Protein aggregation was monitored using the integrated back-reflection optics. All samples were heated from 15 to 95°C using at a steady rate of 2°C/min. Each sample contained A5–6His at 9 or 33 μM with varying NEIL1 concentration at 2:1, 5:1, or 1:3 NEIL1:A5 molar ratio. Experiments were repeated using 120 μM A5-tev and a 1:4 NEIL1-A5 molar ratio.
2.5. Microscale Thermophoresis
A Monolith X instrument (NanoTemper Technologies, LLC, South San Francisco, CA) was used to perform the Microscale thermophoresis (MST) experiment. His-Tag containing NEIL1 and cleaved A5 were purified in a buffer containing 50 mM HEPES pH 8.2, 200 mM NaCl, and 5% (v/v) glycerol. This buffer was also used as the assay buffer. NEIL1 was labeled using the His-Tag Labeling Kit RED-tris-NTA 2nd Generation (NanoTemper Technologies) by incubating 100 nM NEIL1 with 50 nM RED-tris-NTA dye (1:1 volume ratio) for 30 min. The affinity of the His-Tag to the dye was 1.5 nM. Under the labeling condition, 100% of the dye would be bound to the protein. Labeled NEIL1 was incubated with serial dilutions of cleaved A5 ranging from 100 μM to 3.05 nM (100 μM, 50 μM, 25 μM, 12.5 μM, 6.3 μM, 3.13 μM, 1.6 μM, 781.3 nM, 390.6 nM, 195.2 nM, 97.7 nM, 48.8 nM, 24.4 nM, 12.2 nM, 6.1 nM, 3.1 nM). The MST measurements were performed in premium capillaries with 100% LED/excitation power. All data analysis was preformed using the Monolith proprietary software.
2.6. Dot Blot Analysis
50 μg purified NEIL1, truncated NEIL1 proteins (Δ40, Δ56, Δ100, GST-290–349, GST-313–349, and GST-313–390), and BSA control (VWR cat# 97061–420) were placed on the nitrocellulose membrane (Bio-Rad) and allowed to dry. The blot was blocked with 3% milk TBST for 1 hour at room temperature prior to incubation with A5-Fc primary antibody (diluted 1:300 in 3% milk TBST) at 4°C overnight. The membrane was then washed with TBST three times for 10 minutes each followed by incubation for 1 hour at room temperature with anti-mouse secondary antibody (Cell Signaling Technologies cat# 7076S) diluted 1:1000 in 3% milk TBST. The membrane was then washed with TBST three times for 10 minutes each prior to imaging with Advansta Substrates WesternBright ECL HRP Substrate Kit. Colorimetric and chemilumnescent images were taken on a Bio-Rad Gel Dox XR+ for further analysis.
2.7. Far Western Analysis
100 pmol of NEIL1-FL, Δ40, Δ56, Δ56Δaf (af comprises amino acids 202–222), Δ78, Δ100, GST-290–390, GST-290–349, GST-313–349, GST, and BSA, as well as 0.2 pmol of A5–10His-Flag were run on a 4–20% polyacrylamide gel (Bio-Rad) and transferred onto a nitrocellulose membrane (Bio-Rad) via a Bio-Rad TurboBlot system. The protein on the membrane was washed in PBS with 1 mM DTT twice for 10 minutes at RT before being refolded with a serial dilution of guanidine hydrochloride (6 M, 3 M, 1.5 M, 0.75 M, 0.375 M, 0.1871 M, 0.09 M, 0.0 M) in PBS with 1 mM DTT. The initial seven incubations were done at RT for 30 minutes and the final step was performed overnight at 4°C.
The membrane was washed three times for 10 minutes with PBS at 4°C and blocked in cold 5% milk PBS for 1 hour at RT. After blocking, the membrane was washed three times with NEIL storage buffer (50 mM HEPES pH 8.2, 200 mM NaCl, 10% (v/v) glycerol, and 1 mM DTT) for 10 minutes each at 4°C prior to incubation with 10 nmol of purified A5–10His-Flag (1 μM) diluted in NEIL storage buffer at 4°C overnight. The membrane was washed three times with cold NEIL storage buffer for 10 minutes each at 4°C before incubating at 4°C overnight with anti-Flag antibody (Abcam; ab205606) diluted 1:5000 with 5% milk in NEIL storage buffer. The membrane was washed three times in cold NEIL storage buffer for 10 minutes at 4°C before incubation with an anti-rabbit secondary (Cytiva, NA934–1ML) diluted 1:5000 with 5% milk in cold NEIL storage buffer for 1 hour at 4°C. Prior to development with the Advansta Substrates WesternBright ECL HRP Substrate Kit, the membrane was washed three times with cold NEIL storage buffer at 4°C for 10 minutes each. Blot images were taken on Bio-Rad Gel Dox XR+.
2.8. Localization and Recruitment via Confocal Microscopy
7.4×104 cells were seeded into 35 mm fluorodishes (WPI). Twenty-four hours after seeding cells were chemically transfected using 250 ng of no MTS NEIL1-GFP and A5-mCherry. A 1:3 ratio of DNA to transfection reagent (XtremeGeneHD) was used and cells were incubated for 48 hours at 37°C and 5% CO218. 40 min prior to imaging, NucBlue Live Cell Stain (Hoechst 33342) was added to the cells at a concentration of 1 drop per mL media and incubated at 37°C for 20 minutes, followed by an additional 20 min incubation with fresh media. All localization and laser micro-irradiation was performed using a Nikon A1r confocal microscope and the MIDAS (Modular Irradiation, Detection, and Analysis System) acquisition program38.
2.9. NEIL1-A5 Complex Formation
The NEIL1-A5 complex was prepared by mixing both proteins or the protein and DNA in a 1:1 molar ratio in a NEIL storage buffer. The complex was incubated on ice for 1 hour prior to SEC analysis. The SEC was performed with a Superdex-200 10/300 Increase column using the NEIL storage buffer. Appropriate fractions were aliquoted, flash cooled in liquid nitrogen, and stored at −80°C. The column was calibrated with blue dextran (to determine the void volume) and three standards of known molecular weights (MW) using Gel Filtration LMW Calibration Kit (Cytiva # 28403841).
2.10. AlphaFold 3 NEIL1-Nanobody Modeling
Structural predictions for the NEIL1-A5-DNA complex were conducted using the AlphaFold 3 Server39. Available structural information for the A5 nanobody and NEIL1-DNA complex were sourced from the PDB database (8FTT and 5ITR, respectively)15,20. The CIF format results produced by AlphaFold 3 were subsequently imported into PyMOL for visualization. Interface residue mapping in PyMOL identified residues at the interaction interface capable of forming hydrogen and ionic bonds within four angstroms, providing insights into the molecular interactions stabilizing A5-NEIL1 binding.
2.11. Statistical analysis
Average values and standard error of the mean (SEM) were calculated from the means (of technical replicates) of multiple independent experiments (n = number of independent experiments as indicated in figure legends), unless stated otherwise. Student’s t-test was used to test for significant differences as appropriate, with results generally compared to controls and as indicated in the figure legends. P-values are indicated by asterisks (*p<0.05, **p<0.01, ***p<0.001, ****p<0.0001) or are stated in the figure legend. Statistical analyses were performed using GraphPad Prism except those determined using MIDAS38.
3. Results
3.1. Development of novel nanobodies against the NEIL1 DNA glycosylase
Nanobody libraries have emerged as powerful tools for identifying antigen-specific binders with high affinity and specificity40. To generate nanobodies targeting NEIL1, we utilized the Nali-H1 yeast library, a fully synthetic single-domain antibody library with a complexity of 2 × 107 and performed yeast two-hybrid (Y2H) screening in collaboration with Hybrigenics Services SAS (Paris, France). The initial LexA screen, which analyzed 98 million clones, identified three positive colonies, all corresponding to the same nanobody. A subsequent Gal4 screen of 69 million clones yielded 33 positive colonies, representing 17 distinct nanobodies.
From these, Hybrigenics selected the ten most promising candidates and delivered them to us in the pB27 yeast expression vector. Notably, the nanobody identified most frequently in both the LexA and Gal4 screens, A5, was further subcloned into three additional expression vectors: pEBY (containing a 10×His-tag and Flag-tag for bacterial purification), pFuse (for minibody production), and pmCherry (for mammalian expression) (Fig. 1A). To optimize A5 for biochemical interaction studies, we refined the pEBY construct by reducing the 10×His-tag and Flag tag to either a cleavable or non-cleavable 6× His tag. Expression and purification of A5–10xHis-Flag, A5–6xHis, and A5-tev-6xHis in bacterial systems all yielded proteins of >95% purity (Fig. 1B), demonstrating efficient production and suitability for downstream characterization.
3.2. NEIL1 Glycosylase activity is preserved in the presence of the NEIL1 nanobody
To assess whether A5 affects NEIL1’s enzymatic function, we performed a glycosylase assay (Fig. 2A) using a 1:1 molar ratio of NEIL1 to substrate (50 nM each) in the presence of increasing concentrations of A5 (0 nM, 50 nM, and 500 nM). Fluorescence measurements indicate an initial increase from 0 to 100 seconds, followed by a plateau between 100 and 1600 seconds (Fig. 2B). These data suggest that even in excess amounts, A5 does not impair NEIL1’s glycosylase activity. Additionally, when NEIL1 is present in excess (ratios of DNA:NEIL1 varied between 1:0.5 to 1:32), no significant change in relative fluorescence is observed in the presence or absence of A5 (Fig. 2C). These data confirm that A5 does not interfere with the enzymatic function of NEIL1.
3.3. Physicochemical characterization of selected NEIL1 nanobodies
To assess the binding affinity and stability of the NEIL1-A5 interaction, we employed a combination of biochemical techniques, including differential scanning fluorimetry (DSF), nanoDSF, microscale thermophoresis (MST), and isothermal titration calorimetry (ITC). Using traditional DSF, we determined the individual melting temperatures (Tm) of NEIL1 and A5–10His-Flag at 41°C and 63°C, respectively (Fig. 3A). When we analyzed the NEIL1-A5–10His-Flag complex, we observed two distinct unfolding transitions at 41°C and 57°C, suggesting that A5 binding partially stabilizes NEIL1 while maintaining its native thermal properties. The shifted folding transition remained present in various buffering conditions (Supplementary Fig 1A-B). To further confirm these findings, we performed nanoDSF, which showed that NEIL1 alone displayed a single unfolding transition around 40–41°C (Fig. 3B, Supplementary Fig. 2A), consistent with DSF results. We then examined A5-tev-6His at different concentrations and found that at 9 μM, it unfolded at 60.0°C, while at higher concentrations, an unfolding transition was detected at 57.8°C with an elongated trailing peak (Fig. 3B, Supplementary Fig. 2B), possibly indicating an altered conformational state. When we analyzed the NEIL1-A5-tev-6His complex, we observed two unfolding transitions at 38.5°C and 54.1°C, reinforcing the idea that A5 interacts with NEIL1 and affects its thermal stability (Fig. 3B).
Figure 3. Biophysical characterization of NEIL1 and A5 interactions.

A. Differential Scanning Fluorimetry (DSF) of NEIL1 and A5. The first derivative of relative fluorescence of the Sypro Orange dye is plotted against temperature, showing the thermal unfolding profiles of NEIL1 (black), A5 (green), and their complex at a 1:1 molar ratio (pink). Melting temperatures (Tm) are indicated for each condition, with NEIL1 alone melting at 41°C, A5 at 63°C, and the NEIL1-A5 complex showing a biphasic unfolding with a peak matching NEIL1’s unfolding at 41°C and a second unfolding shifted to 57°C, indicative of the NEIL1-A5 complex. B. NanoDSF measured the intrinsic fluorescence of NEIL1 and A5 at 330 nm to monitor protein unfolding with temperature. NEIL1 (black) and A5 (green) show characteristic melting temperatures, while the NEIL1-A5 complex (pink, 1:5 molar ratio) displays a shifted Tm, at 54.1°C, further confirming interaction and stabilization. C. MicroScale Thermophoresis (MST) binding assay of A5 binding to NEIL1. The ratio of fluorescence at 670 nm/650 nm is plotted as a function of A5 concentration, showing a binding curve (Fit) fitted to the data, indicating the affinity of A5 for NEIL1. The dissociation constant (Kd) inferred from the curve fit is 23.8 μM. Data are represented as mean ± SD. Replicates (n) is 3 per experiment.
Next, we used MST analysis, which yielded a dissociation constant (Kd) of 23.8 μM. Given that some nanobodies can bind to their target proteins in the low micromolar to nanomolar range this result would indicate a moderate binding affinity between NEIL1 and A5 (Fig. 3C)41,42. To further validate this interaction, we conducted ITC measurements, which produced a similar Kd of approximately 30 μM (Supplementary Fig. 3), confirming that A5 binds NEIL1 with a moderate binding affinity. Together, these findings establish A5 as a binder of NEIL1, providing a foundation for its use in cellular studies.
3.4. Specificity of the NEIL1 Nanobody in live cells
To assess the specificity of A5 for NEIL1 in live cells, we examined its subcellular localization and recruitment dynamics using fluorescence imaging. When we co-transfected A5-mCherry with NEIL1-GFP, we observed clear nuclear co-localization, with a Pearson’s correlation coefficient (PCC) of 0.924 (Fig. 4A, Supplemental Figure 4A). In contrast, when A5-mCherry was co-expressed with NEIL2-GFP, A5-mCherry displayed an even distribution between the nucleus and cytoplasm, yielding a lower PCC of 0.532 (Fig. 4B, Supplemental Figure 4A). When co-expressed with NEIL2-GFP, A5 shows a similar cellular distribution as when expressed alone (Supplementary Figure 4B). This supports A5’s specificity for NEIL1 over NEIL2.
Figure 4. Quantitative analysis of NEIL1, NEIL2, and A5 localization and recruitment kinetics to DNA damage sites.

A. A5-mCherry colocalizes to the nucleus with NEIL1-GFP when co-transfected in U2OS WT cells. B. A5-mCherry displays non-specific cellular distribution when co-transfected with NEIL2-GFP. C-D. Time-lapse images (C) and fluorescence quantification (D) of NEIL1-GFP and A5-mCherry recruitment to DNA damage sites. Cells expressing NEIL1-GFP and A5-mCherry were subjected to laser micro-irradiation, with images taken at pre-laser, 0 seconds, and 2.1 seconds post-laser exposure. NEIL1-GFP and A5-mCherry rapidly accumulates at the site of DNA damage (indicated by arrows). E-F. Time to peak recruitment (E) and fold change (F) in fluorescence at peak for NEIL1-GFP (green) and A5-mCherry (red) following laser micro-irradiation. NEIL1 shows a significantly slower time to peak recruitment compared to A5. G. Correlation plot representing the peak recruitment times of NEIL1-GFP and A5-mCHerry. A positive correlation is observed, indicating that A5 recruitment is linked to NEIL1 kinetics. H-I. Time-lapse images (H) and fluorescence quantification (I) of NEIL2-GFP and A5-mCherry following laser-induced DNA damage. Similar to NEIL1-GFP, NEIL2-GFP shows rapid localization to the damage site (arrows), while no recruitment is detected from A5-mCherry. Data are represented as mean of three replicates (n) ± SEM. J-K. Time to peak recruitment (J) and fold change (K) in fluorescence at peak for NEIL2-GFP (light green) and A5-mCherry (red). L. Correlation plot representing the peak recruitment times of NEIL2-GFP and A5-mCherry. Data are represented as mean ± SD. Statistical analysis was performed in GraphPad Prism 10 using the paired student’s t-test, **P < 0.01, ****P < 0.0001. Replicates (n) is 23–78 per experiment.
We next tested the extent to which A5 tracks NEIL1’s recruitment to sites of DNA damage. Using live-cell imaging following laser-induced DNA damage, we found that both NEIL1-GFP and A5-mCherry were rapidly recruited to damage sites, reaching peak fluorescence at 9.90 and 7.15 seconds, respectively (Fig. 4C–E). NEIL1-GFP fluorescence increased 1.57-fold, while A5-mCherry fluorescence increased 1.38-fold at their respective peaks (Fig. 4F). While A5-mCherry displayed slightly reduced recruitment relative to NEIL1, their recruitment dynamics remained strongly correlated, with a correlation plot slope of 1.23 (Fig. 4G). The slight delay in A5-mCherry recruitment may potentially reflect subtle conformational changes in NEIL1 during its engagement with DNA lesions.
To further evaluate A5’s specificity for NEIL1, we examined its recruitment dynamics in the presence of NEIL2. When we performed the experiment with NEIL2-GFP, we observed rapid recruitment of NEIL2-GFP to DNA damage sites (Fig. 4H–I), with an average peak time of 5.60 seconds and a 1.31-fold increase in fluorescence intensity (Fig. 4J–K). However, A5-mCherry was not recruited to the sites of damage when co-expressed with NEIL2-GFP (Fig. 4H–I). The distribution of peak recruitment times for A5-mCherry in Figure 4J indicates the absence of a distinct peak, as the data points do not cluster near the mean, unlike the recruitment pattern observed for NEIL1-A5 (Fig. 4E). Furthermore, the peak fold-change distribution (Fig. 4K) for A5-mCherry is centered around 1, suggesting no significant change in local fluorescence intensity. The absence of nuclear enrichment of A5-mCherry in the presence of NEIL2-GFP, coupled with the lack of co-recruitment to DNA damage sites, as further illustrated by the correlation plot (Fig. 4L), indicates that A5 does not interact significantly with NEIL2 in cells. These findings reinforce A5’s selective specificity for NEIL1, underscoring its utility as a probe for tracking NEIL1 dynamics in live-cell studies.
3.5. Epitope mapping
To determine the specific region of NEIL1 recognized by A5, we performed dot blot and far western analyses using NEIL1 constructs either lacking portions of the C-terminal domain (FL, Δ40, Δ56, Δ56Δaf, and Δ100; where 40, 56, or 100 amino acids from the C-terminal domain are removed, respectively), containing only segments of the C-terminal domain (290–349, 313–349, 313–390), or lacking the C-terminal 56 amino acids in addition to lacking residues 202–222 (Δ56Δaf) (Fig. 5A). It is this C-terminal domain comprising 100 amino acids that is predicted to be disordered and serves as a protein-interaction domain12,13,21. The dot blot revealed that A5-Fc preferentially interacted with N-terminal constructs (i.e. lacking portions of the C-terminal domain), indicating a strong preference for the glycosylase domain over the C-terminal disordered tail (Fig. 5B). Similarly, far western analysis using A5-Flag-10His exhibited selective binding to the N-terminus of NEIL1. However, while A5-Flag-10His showed mild interaction with NEIL1 290–390, it did not bind the shorter C-terminal constructs 290–349 or 313–349 (Fig. 5C–D). These findings confirm that A5 primarily recognizes the N-terminal glycosylase domain, reinforcing its specificity and utility for studying NEIL1 interactions.
Figure 5. A5 interacts with NEIL1 N-terminal derivatives.

A. A map of the His-tagged N-terminal polypeptides of NEIL1 lacking portions of the C-terminal tail and the GST-tagged C-terminal polypeptides of NEIL1 lacking the N-terminal portion of the enzyme. B. Dot blot showing interaction between NEIL1 derivatives and the A5-fc nanobody. Full-length NEIL1 (FL) and truncations of NEIL1 (Δ40, Δ56, Δ56Δaf, Δ100) were spotted on a membrane, along with recombinant NEIL1 fragments (290–349, 313–349, 313–390). Bovine serum albumin (BSA) served as a negative control. The membrane was incubated with A5-fc in place of a primary antibody, revealing specific binding to the NEIL1 N-terminal fragments. C. Far-western analysis of NEIL1 derivatives using the A5–10His-Flag nanobody. The NEIL1 derivatives, GST, BSA (negative controls), and A5 (positive control) were separated by SDS-PAGE, transferred to a membrane, and incubated with A5–10his-Flag. The membrane was then probed with an anti-Flag antibody to detect interactions, showing binding of A5–10his-Flag to specific NEIL1 constructs. D. A coomassie stain of the same NEIL1 derivatives as in (C), showing the relative protein amounts of the full-length and truncated NEIL1 fragments, along with the control proteins GST, BSA, and A5. Adapted from Sharma et al., 202219.
4. Discussion
The characterization of A5 as a NEIL1-specific nanobody provides an important tool for studying BER protein dynamics with high spatial and temporal resolution. Its ability to bind NEIL1 without affecting enzymatic function makes it particularly well-suited for applications in live-cell imaging and biochemical studies. In this manuscript, we present a comprehensive characterization of the A5 nanobody, demonstrating its specificity for NEIL1 and its suitability as a molecular tool for biochemical and live-cell studies. Our findings indicate that A5 does not interfere with NEIL1’s enzymatic activity, binds to the N-terminal glycosylase domain of NEIL1 with moderate affinity, and selectively tracks NEIL1 in cells, reinforcing its potential for studying BER protein dynamics in real time.
Building on these advancements, we used AlphaFold 3 to predict the structure of the NEIL1-DNA-A5 complex, generating a high-confidence model (pTM = 0.85)39. Notably, A5 binding does not interfere with the NEIL1 DNA-binding pocket consistent with our biochemical data (Fig. 6A). Structural analysis revealed that A5 engages NEIL1 through a combination of hydrogen bonds, salt bridges, and stabilizing hydrophobic interactions. Key salt bridge interactions include those between NEIL1-Arg19 and A5-Glu32, as well as NEIL1-Arg46 and A5-Asp34. Additionally, a bidentate salt bridge between NEIL1-Arg19 and A5-Asp34 likely provides significant stabilization to the interface. Several hydrogen bond interactions also contribute to the binding stability, including NEIL1-Ser43 with A5-Tyr62, NEIL1-Ser48 with A5-Gly107, and NEIL1-Gly65 with A5-Tyr62. Beyond electrostatic interactions, hydrophobic contacts further reinforce the binding interface. These include interactions between NEIL1-Leu63, Pro64, and Gly65 with A5-Phe49, as well as NEIL1-Ala20, Leu21, Val22, Pro105, Pro106, and Gly107 with A5-Gly58, Gly59, Trp60, and His61 (Fig. 6B). Together, these predicted interactions within the model suggest that A5 may stabilize NEIL1 through a multifaceted binding mechanism, making it a valuable tool for probing NEIL1’s structural and functional dynamics.
Figure 6. Structural representation of a NEIL1-DNA complex bound to A5 nanobody.

A. The AlphaFold3 predicted interaction between the DNA (magenta) bound NEIL1 (light pink; 5ITR) and the A5 nanobody (cyan; 8FTT). B. Zoomed in view of putative interaction between NEIL1 and A5.
Future work could explore affinity-matured variants of A5 with enhanced binding stability or modifications that allow for its integration into advanced imaging techniques such as super-resolution microscopy. Beyond its utility for studying NEIL1 alone, A5 could be adapted for immunoprecipitation studies or proximity-labeling techniques (e.g., BioID or APEX) to uncover novel NEIL1-interacting partners and clarify its recruitment dynamics in the context of base excision repair. Given the increasing interest in targeting DNA repair pathways for therapeutic interventions, nanobodies such as A5 could also serve as a useful tool for screening small-molecule inhibitors that modulate protein function. Additionally, inhibitory variants of A5—engineered to sterically block NEIL1’s lesion recognition or protein-protein interactions—could be powerful tools to probe the consequences of NEIL1 loss-of-function in specific cellular contexts. Such tools may enable synthetic lethality screens in cancer models deficient in redundant DNA repair pathways, offering a strategy to selectively target tumor cells while sparing normal tissue43,44.
This work on NEIL1 has broadened our understanding of how nanobodies are transforming cancer research, offering distinct advantages over conventional antibodies in both diagnostics and therapeutics45. Their small size, stability, and ability to bind epitopes that are inaccessible to full-length antibodies make them particularly attractive for tumor targeting. Figure 7 illustrates several immunomodulatory applications of nanobody-based therapies, including T cell engagers, CAR T cell therapy, and NK cell activation, all of which enhance anti-tumor immune responses45. Additionally, nanobody-based strategies such as drug delivery, angiogenesis inhibition, macrophage polarization modulation, and cytokine regulation contribute to reshaping the tumor microenvironment to favor immune-mediated tumor clearance. Notably, nanobody-based chimeric antigen receptor (CAR) T cells have been engineered to improve specificity in cancer immunotherapy, demonstrating promising preclinical and clinical outcomes46–48. Furthermore, nanobody-drug conjugates are being explored as a means to enhance tumor-specific cytotoxicity while minimizing off-target effects, underscoring their potential in precision oncology49–51.
Figure 7. Nanobody derived advancements in cancer therapeutics and diagnostics.

This schematic illustration highlights various therapeutic (blue) and diagnostic (top right, green) approaches aimed at modulating the tumor microenvironment (TME). Therapeutic strategies include blocking angiogenesis via VEGF inhibition, delivery of anti-tumor cytokines (e.g., IFNγ, IL-2), neutralization of pro-tumor cytokines (e.g., TNFα, IL-6), activation of natural killer (NK) cells, engagement of T cells using bispecific T cell engagers (BiTEs), immune checkpoint inhibition, and directing CAR T cells for targeted tumor destruction. Additionally, tumor-targeting nanobody (Nb)-secreting stem cells and dendritic cell-based anti-tumor vaccinations contribute to enhancing anti-cancer immune responses. Macrophage polarization strategies aim to shift macrophage populations from a pro-tumor (M2) to an anti-tumor (M1) phenotype. Targeted drug delivery and radionuclide therapy further enhance precision treatment modalities. Diagnostic methodologies for tumor detection and monitoring include imaging techniques such as near-infrared (NIR) imaging via nanobody-based probes, ultrasound imaging using nanobody-conjugated microbubbles, and immunoPET/SPECT via radionuclide labeled nanobodies. ImmunoPET, Immuno-positron emission tomography; ImmunoSPECT, single-photon emission computed tomography; NIR, near-infrared; MMR, mannose macrophage receptor; MHC-II, major histocompatibility complex-II; CAR, chimeric antigen receptor; IL, interleukin; VEGF, vascular endothelial growth factor; VEGFR, vascular endothelial growth factor receptor; IFNγ, interferon-γ; TNFα, tumor necrosis factor-α; TRAIL, tumor necrosis factor-related apoptosis-inducing ligand. Adapted from De Pauw et al., 202345.
Nanobodies have also been increasingly utilized in cancer diagnostics due to their high specificity and favorable pharmacokinetics. Antigen-specific nanobodies have been labeled with radionuclides such as (99 m)Tc, (89)Zr, (68)Ga, (18)F, and (64)Cu for nuclear imaging and have been found to differentiate tumors with moderate to high target overexpression. These nanobody-based imaging agents not only facilitate patient staging, but also reduce radionuclide retention in healthy tissues52–54. Additionally, nanobody conjugation to near-infrared (NIR) probes for optical imaging or to microbubbles for ultrasound-based imaging has demonstrated rapid tumor uptake and high contrast, offering effective, non-ionizing imaging alternatives32,55–57. These advanced imaging modalities have been integrated into clinical workflows to guide biopsies, therapeutic injections, and ablations of cancerous lesions, improving diagnostic precision and treatment outcomes58.
5. Conclusions
In conclusion, this study establishes A5 as a specific nanobody for NEIL1, capable of tracking its dynamics in cells despite its moderate binding affinity to NEIL1 in vitro. Moving forward, the development of improved nanobody variants that bind to NEIL1 with nanomolar affinity and their application in broader DNA repair contexts could provide new opportunities for understanding the role of NEIL1 in genome stability and disease. The development and characterization of anti-NEIL1 nanobodies represent a significant advancement in the field of glycosylase biology. These nanobodies offer unparalleled opportunities by overcoming longstanding challenges to unravel the complexities of NEIL1, from its structural intricacies to its functional roles in maintaining genome integrity.
Supplementary Material
Highlights.
Discovery of NEIL1-Specific Nanobodies: We identified novel nanobodies that selectively recognize the NEIL1 DNA glycosylase.
A5 Nanobody Tracks NEIL1 Dynamics: A5 specifically co-localizes with NEIL1 in live cells and is co-recruited to sites of DNA damage.
Functional Binding Without Disruption: A5 binds the N-terminal glycosylase domain of NEIL1 without impairing its enzymatic activity.
Acknowledgements:
MKT, MHE, IV, and AP were supported by a grant from the National Institutes of Environmental Health Sciences (NIEHS) Outstanding New Environmental Scientist (ONES) R01 grant #R01ES030084 to AP at varying times during the project. Startup funds provided to AP by the University of South Alabama Health Mitchell Cancer Institute are also acknowledged. Access to the Prometheus NT.48 and the Monolith X instruments was provided by the Biocalorimetry Lab supported by the NIH Shared Instrumentation Grant #1S10RR026478 and Shared Facility Program of the UAB Comprehensive Cancer Center, Grant #316851.
Footnotes
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CRediT Author Statement
MKT: Methodology, Investigation, Formal Analysis, Writing, Reviewing, and Editing; MHE: Investigation; IV: Investigation; ZY: Investigation and Formal Analysis; DF: Data Curation and Formal Analysis; JFA: Data Curation; TJ: Data Curation; AP: Conceptualization, Methodology, Writing, Reviewing, Editing
Declaration of Generative AI and AI-assisted Technologies in the Writing Process
During the preparation of this work the authors used ChatGPT in order to improve grammar and readability. After using this tool/service, the author(s) reviewed and edited the content as needed and take full responsibility for the content of the published article.
Conflict of Interest Statement
AP is a scientific consultant for Canal House Biosciences, LLC. The authors state that there is no conflict of interest.
Declaration of interests
Corresponding author is a scientific consultant for Canal House Biosciences, LLC. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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