Triangular DNA nanopore
In response to existing challenges in developing next-generation nanopores, we have designed a DNA nanotechnology-engineered triangular nanopore with a dynamically gated lumen for sensing and controlling molecular transport. The triangular DNA nanopore is composed of three subunits interconnected by single-stranded hinges (Fig. 1a). Each subunit adopts a sandwich structure, where the side-by-side bundled long DNA duplexes act as the core layer, and the bundled short DNA duplexes serve as the inner and outer layers. The three-layer middle part of the pore subunit serves as the solid girder and two neighboring single-layer ends interconnected by the single-stranded hinge form a v-clip. Triggered by specific DNA bindings, the three v-clips can be pinched and released to realize the bidirectional mechanical transition of the triangular DNA nanopore. In particular, nine single-stranded DNA (referred to as Triggers) are employed to pinch the three corners of the large triangular frame simultaneously and contract the lumen. Conversely, targeting switching from DNP-C to DNP-E, precisely defined twelve single-stranded DNA (referred to as Reverse triggers) are utilized to replace the positive triggers and release the three corners of the DNP-C. It is even more noteworthy that, in the mechanical transition of the designed nanopore, the lumen retains the stable triangular shape at both contracted and expanded states.
According to the route designs of the triangular DNA nanopores in different states (Supplementary Figs. 1 and 2), DNP-E and DNP-C were assembled by annealing the scaffold DNA and the multifunctional staple strands (Supplementary Data 1). In the upper region of the representative gel image (Supplementary Fig. 3), homogeneous bands of DNP-E and DNP-C presented different mobilities during gel electrophoresis, providing evidence of the formation of singular assembly products for both DNP-E and DNP-C. After the purification of the assembled products by ultrafiltration units, different morphologies (Fig. 1b-g) of DNP-C and DNP-E were observed by negative-stained transmission electron microscopy (TEM).
In line with the design concept, the triangular DNA nanopores in different states have different lumen sizes (Fig. 1b-g), as shown for DNP-E and DNP-C with the cross-sectional area of 539.0 ± 120.2 nm2 (± SD, n = 20) and 237.9 ± 77.3 nm2 (± SD, n = 20), respectively. Relative area analyses showed that the lumen area of DNP-E contracted upon the induction of triggers, and the lumen area of DNP-C expanded through the treatment of reverse triggers (Fig. 1c, f). To investigate whether lumen shape change accompanied the mechanical transition of the proposed nanopores, we counted the angular distribution of DNA nanopores in different states. We found that additional trigger or reverse trigger treatments had no significant effect on the θ angle (relative to the bottom subunit) of DNA nanopores (Fig. 1d, g), which mostly stayed around 60º. These data show that the triangular DNA nanopores can be dynamically gated without undergoing notable lumen shape changes.
To facilitate embedding the proposed DNA nanopores into lipid bilayers, we utilized twenty-one handles of staple strands to hybridize the cholesterol strands (Fig. 1h). Cholesterol-modified DNP-E and DNP-C showed upshifted bands in gel electrophoresis analysis (Supplementary Fig. 4), demonstrating that the cholesterol strands were attached to the DNA nanopores as designed. Small unilamellar vesicles (SUVs) were used to investigate the interaction between cholesterol-tagged DNA nanopores and lipid bilayers (Supplementary Fig. 5a). The signal intensity of the upshifted bands in DNP-C samples gradually increased as the lipid concentration of SUVs increased (Supplementary Fig. 5b). In contrast, no upshifted bands were observed for DNP-C samples in the absence of SUVs. The signal intensity analysis revealed that the upshifted bands were caused by the interaction between DNP-C and SUVs (Supplementary Fig. 5c). In addition to gel electrophoresis, TEM images confirmed the binding of synthetic DNA nanopores to SUVs. The distinctly shaded areas representing the different lumens of DNP-C and DNP-E indicated that these DNA nanopores interacted with and then inserted into the SUVs (Fig. 1i). Moreover, to visualize the interaction between cholesterol-tagged DNA nanopores and giant unilamellar vesicles (GUVs), we employed twelve additional handles in DNA nanopores to gather the Cy3 strands (Fig. 1h). Representative confocal images depicted the efficient binding of abundant Cy3-marked DNP-C to rhodamine-contained lipid membranes of GUVs, as evidenced by the high localization of the fluorescent signal between the green and red channels (Fig. 1j).
Electrical characterization
The insertion of cholesterol-tagged DNA nanopores into the lipid membrane (Fig. 1k) was confirmed by analyzing the conductance properties of DNP-C and DNP-E using single-channel current recordings. In particular, 1,2-diphytanoyl-sn-glycero-3-phosphocholine (DPhPC) was used to produce planar lipid bilayers. In every microelectrode cavity of the current recording chip, the electrolyte (1 M KCl, 10 mM HEPES, pH 7.4) was separated by a planar lipid bilayer into two chambers, including a cis side and a trans side. When a potential was applied across the lipid membrane, electrolyte ions were induced, ion flow occurred through the lumen of the embedded DNP-C (Fig. 2a), and a constant current of 0.61 nA was observed at an applied voltage of + 80 mV. In contrast, when the applied voltage was changed to − 80 mV, the recorded current was constant at − 0.62 nA. The single-channel current trace (Fig. 2b) indicated the successful insertion of DNP-C into the planar lipid bilayer. Statistical analysis of the conductance distribution of DNP-C showed the peak conductance with an average of 7.75 ± 0.34 nS (± SD, n = 22) (Fig. 2c). DNP-E has a larger lumen than DNP-C. Thus, the inserted DNP-E should allow more electrolyte ions to pass through its lumen than the inserted DNP-C. Consistent with the concept of both schematics (Fig. 2a, d), the constant current of DNP-E (1.26 nA) was higher than that of DNP-C (0.61 nA) when a voltage of + 80 mV was applied across the inserted DNP-E and DNP-C (Fig. 2b, e). The conductance peak histogram of inserted DNP-E appeared at 16.58 ± 0.54 nS (± SD, n = 20) (Fig. 2f), which further suggested that the lumen size of DNP-E was larger than that of DNP-C. The relatively more concentrated distribution of the peak conductance of DNP-C and DNP-E illustrated the repeatable electrical readouts brought by the structurally stable triangular lumen. Moreover, control experiments of DNP-C and DNP-E without cholesterol modification showed no measurable ionic currents (Supplementary Fig. 6), thus verifying that cholesterol modification is essential for inserting triangular DNA nanopores into planar lipid bilayers. Successful insertion of cholesterol-labeled DNP-C and DNP-E into lipid membranes was also verified by linear current-voltage relationships with different slopes (Supplementary Fig. 7), as expected for vertically symmetric DNA nanopores.
To further explore the dynamic transition of triangular DNA nanopores between expanded and contracted states, we separately added triggers and reverse triggers on the cis side of membrane-spanning DNP-C and DNP-E (Fig. 2g). A representative current trace indicated that the current signals of inserted DNP-C changed from 0.63 nA to 1.07 nA with a constant voltage of + 80 mV (Fig. 2h), reflecting the lumen expansion induced by reverse triggers. Considering the conductance properties of DNP-C and DNP-E, the initial and terminal current signals of the representative current trace (Fig. 2h) implied that the transition of DNA nanopores from DNP-C to DNP-E was realized. In the power spectrum analysis (Fig. 2i), the noise profile of the DNP-C processed with reverse triggers was higher than before, denoting that more fluctuations were generated in the DNP-C treated with reverse triggers than before. After treating the membrane-spanning DNP-E with triggers, the recorded current signal changed from 1.20 nA to 0.73 nA (Fig. 2j), suggesting that the transition of DNA nanopores from DNP-E to DNP-C was fulfilled. Interestingly, the dynamic transition from DNP-E to DNP-C took less than 2 s (Fig. 2j), which was much shorter than the switching duration from DNP-C to DNP-E (Fig. 2h). The lateral membrane pressure might accelerate the contracting process of the inserted DNA nanopore. Moreover, we noticed the achieved low-noise signal, which could be credited to the stable triangular lumen. Compared with inserted DNP-E without any treatment, triggers-treated DNP-E reduced power spectral noise (Fig. 2k), indicating a reduction in the lumen size. To examine the specificity of the triggers and reverse triggers that activate conformational transitions of DNA nanopores in different states, random strands (Supplementary Data 1) were separately introduced on the cis side of membrane-spanning DNP-C and DNP-E. Single-channel current recordings of random strands-incubated DNA nanopores showed no apparent fluctuating signals (Supplementary Fig. 8), further emphasizing the importance of triggers and reverse triggers for dynamic switching between DNP-C and DNP-E. Repetitive current signals demonstrated that the majority of DNP-C expanded the pore lumen in response to reverse triggers, and DNP-E contracted the pore lumen in the presence of triggers (Supplementary Fig. 9). This further validates the feasibility of the bidirectional mechanical transition design for the triangular DNA nanopore.
Computational analysis
To assess the structural stability of triangular DNA nanopores in different states, we characterized two different DNA nanopore designs by oxDNA41–43 simulations. From a macro-perspective, statistical analyses of the relative angles in both DNA nanopore designs demonstrated a more pronounced fluctuation in the expanded DNA nanopore compared to the contracted one (Fig. 3a, b). The relative areas of the two DNA nanopore designs did not change significantly during the molecular dynamics simulations, indicating that their distinct pore lumens can be effectively maintained. DNP-E exhibited a notably higher root-mean-square deviation (RMSD) as compared to DNP-C, predominantly due to the elongated core layers positioned at the triangulated nanopore corners (Fig. 3c). In previous oxDNA simulations, the phenomenon of splaying at the ends of origami structures has been documented44. However, whether this occurrence represents an experimental phenomenon or a simulation artifact remains an unresolved inquiry. The tight packing of the helices at the corners of DNP-C effectively suppresses this splaying behavior of lumen-facing DNA strands, whereas DNP-E, owing to its relatively spacious arrangement, manifests more pronounced splaying. Despite the fact that the proportion of broken base pairs remained below 1.5% for both designs throughout the simulations (Fig. 3d), DNP-C displayed superior integrity at a finer scale compared to DNP-E.
The conductance of both DNA nanopore designs was initially computed using the simple cylinder model. The conductance ratio of DNP-E to DNP-C was 2.34, closely aligning with the experimental ratio value (2.14) derived from recorded ionic currents. Notably, membrane nanopores made with DNA inherently possess ionically leaky walls. To account for this factor, we employed the steric exclusion model (SEM)45,46 to simulate the conductance of both designs based on 3D conductivity maps. Specifically, ten configurations each of DNP-C and DNP-E were selected (Supplementary Videos 1 and 2), mapped into an all-atom representation, and embedded within DPhPC lipid bilayers to allow the calculation of 3D conductivity maps (Supplementary Fig. 10a). The conductivity maps were calculated from the distance from lipid or DNA utilizing local conductivity functions specific to the lipid and DNA components (Supplementary Fig. 10b) under an applied voltage of 80 mV and 0.4 M KCl. Figure 3e depicts the transverse view (top) and side view (bottom) along the center of each system. The peak conductance distributions observed in the SEM data for the two DNA nanopore designs were notably higher than those calculated from the cylinder model (Fig. 3f). This difference was likely attributed to the careful consideration of significant ionic leakage among the inherent structures of DNA nanopores during the SEM simulations.
While experimental measurements showed a closely matched conductance ratio of DNP-E to DNP-C compared to values obtained from SEM simulations or cylinder model calculations, the observed absolute conductance values were significantly smaller than the corresponding theoretical estimates. This discrepancy aligned with findings from prior studies on large DNA nanopores14,39. We hypothesize that the lower experimental conductivities of DNP-C and DNP-E compared with those of solid-state nanopores of similar internal dimensions47 may be caused by the continuous compression of the surrounding lipid molecules33 and structural distortions48,49 induced by the applied voltages40. Moreover, we note that, for a select few DNA nanopore systems of well-defined transmembrane pore geometry, a good agreement between simulated and experimentally measured conductance values was reported50,51. Future molecular dynamics simulations incorporating interactions between lipids and DNA may reveal factors underlying these disparities. Nevertheless, oxDNA simulations provided evidence for the structural stability of the two DNA nanopore designs, confirming that triangular DNA nanopores in different states possess distinct stable lumens.
Protein sensing
The dynamically-gated large lumens of triangular DNA nanopores hold great potential in molecular sensing. Hence, we employed membrane-spanning DNP-C and DNP-E to explore whether designed DNA nanopores can sense the trypsin molecule (4.0 nm), a model protein with a net positive charge at pH 7.4. In a typical current trace recorded at a constant voltage of + 50 mV, the introduction of trypsin regularly blocked the ion flow of inserted DNP-C. Notably, an individual blockade was identified as a single event of trypsin translocation (Fig. 4a), which was characterized by the dwell time (Toff) and the blocking amplitude (A) from the open-channel amplitude (IO). Two distinct types of trypsin translocation events in embedded DNP-C were identified by analyzing the percentage of blocking amplitude and dwell time (Fig. 4b, c). More than 50% of trypsin translocation events clustered at a blocking amplitude of 30.19% ± 2.74% (± SD, n = 35). The remaining events clustered at a blocking amplitude of 53.32% ± 2.26% (± SD, n = 34). Given the current-dependent nature of trypsin translocation on well-developed DNA nanopores14,34, Type I events with partial blocking amplitudes represent transient interactions of positively charged trypsin with embedded DNP-C (Fig. 4d). Contrastingly, Type II events show that trypsin molecules are fully translocated across the whole lumen of embedded DNP-C (Fig. 4e). Intermittent interactions of positively charged trypsin molecules with negatively charged inner walls of DNA nanopores may prolong the dwell time of Type II events. Following this concept, a scatter plot of trypsin translocation events sensed by embedded DNP-C showed that the average dwell time of Type II events (0.69 s) was much longer than that of Type I events (0.04 s).
Additionally, membrane-spanning DNP-E was used to sense the trypsin molecules, which was analyzed by single-channel electrophysiological recordings. Based on the representative current trace of embedded DNP-E after the introduction of trypsin (Fig. 4f), trypsin translocation events with diverse blocking amplitudes and dwell times could be discovered. Interestingly, there were no clearly distinct clusters in the scatter plot (Fig. 4g). Notably, the trypsin translocation events recorded from embedded DNP-E exhibited a blocking amplitude of 28.13% ± 7.38% (± SD, n = 85), which was narrower than the blocking amplitudes of trypsin translocation events from embedded DNP-C. Given that DNP-E adopted a larger lumen size than DNP-C, we suggested that the majority of recorded trypsin translocated completely through the embedded DNP-E rather than interacting transiently with its lumen opening (Fig. 4h).
Following a consistent electrical model for both DNP-C and DNP-E, the blocking amplitude of full trypsin translocation sensed by DNP-C was expected to be 2.14-fold that of DNP-E, which was close to the 1.90-fold derived from experimental data (Fig. 4b, g), further validating the superiority of the proposed shape-fixed DNA nanopores in elucidating molecular translocations and predicting electrical readouts. The noise in the power spectra of both DNP-C and DNP-E was considerably weaker before the introduction of trypsin treatment than afterward (Supplementary Fig. 11), verifying that both DNA nanopore designs were capable of sensing trypsin translocation. Representative single-channel current traces (Fig. 4c, f) and corresponding scatter plots (Fig. 4b, g) indicate that DNP-C can sense the trypsin molecules with low-noise repeatable readouts compared to DNP-E. In more detail, DNP-C can distinguish two different types of trypsin translocation events, while DNP-E cannot. This suggests that maintaining a closer match between the lumen and the molecule contributes to more precise sensing in the triangular DNA nanopore.
Cross-membrane transport
Finally, we investigated whether the different lumens of triangular DNA nanopores allow the transmembrane transport of macromolecules of different sizes. In contrast to SUVs, GUVs provide a better model for simulating physiological cell membranes and can be used to explore the cross-membrane transport of specific macromolecules through the embedded triangular DNA nanopores. We added FITC-dextran (40 kDa, Radius ≈ 4.8 nm) and TRITC-dextran (500 kDa, Radius ≈ 15.9 nm) to the external solution of GUVs while incubating with cholesterol-free DNA nanopores. No significant increase in fluorescent signal was measured from the interior of GUVs incubated with cholesterol-free DNA nanopores (Supplementary Fig. 12 and Supplementary Videos 3 and 4), verifying that cholesterol-free DNA nanopores were unable to insert into lipid membranes, which was consistent with the data obtained from single-channel current recordings (Supplementary Fig. 6).
With the assistance of cholesterol moieties, membrane-spanning DNP-C allowed the influx of smaller FITC-dextran (40 kDa) into GUVs while preventing the influx of larger TRITC-dextran (500 kDa) (Fig. 5a, b and Supplementary Video 5). Representative confocal images and associated fluorescence traces demonstrated that both macromolecules can enter the interior of the corresponding GUVs through the transmembrane lumen of embedded DNP-E (Fig. 5c, d and Supplementary Video 6). After 3 h of incubation, 46.7% of GUVs showed FITC influx in the presence of DNP-C treatment, and only 3.7% of GUVs were simultaneously filled with TRITC-dextran (Fig. 5e). In the case of DNP-E treatment, more than 30% of GUVs displayed influx of both two macromolecules, indicating that the expanded DNA nanopore allowed for the simultaneous transport of FITC-dextran and TRITC-dextran (Fig. 5f). Collectively, these results confirm that cholesterol-modified triangular DNA nanopores with different lumens can spontaneously insert into the lipid membranes of GUVs. These findings demonstrate that both DNA nanopores can function as size-selective gateways to control the transmembrane transport of various molecules.