Minimizing Structural Heterogeneity in DNA Self-Assembled Dye Templating via DNA Origami-Tuned Conformations.

With recent advances in DNA-templated dye aggregation for leveraging and engineering molecular excitons, a need exists for minimizing structural heterogeneity. Holliday Junction complexes (HJ) are commonly used to covalently template dye aggregates on their core; however, the global conformation of HJ is detrimentally dynamic. Here, the global conformation of the HJ is selectively tuned by restricting its position and orientation by using a sheet-like DNA origami construct (DOC) physisorbed on glass. The HJ arms are fixed with four different designed interduplex angles (IDAs). Atomic force microscopy confirmed that the HJs are bound to the surface of DOC with tuned IDAs. Dye orientation distributions were determined by combining dipole imaging and super-resolution microscopy. All IDAs led to dye orientations having dispersed distributions along planes perpendicular to the HJ plane, suggesting that stacking occurred between the dye and the neighboring DNA bases. The dye-base stacking interpretation was supported by increasing the size of the core cavity. The narrowest IDA minimizes structural heterogeneity and suggests dye intercalation. A strong correlation is found between the IDA and the orientation of the dye along the HJ plane. These results show that the HJ imposes restrictions on the dye and that the dye-DNA interactions are always present regardless of global conformation. The implications of our results are discussed for the scalability of dye aggregates using DNA self-assembly. Our methodology provides an avenue for the solid-supported single-molecule characterization of molecular assemblies templated on biomolecules─such as DNA and protein templates involved in light-harvesting and catalysis─with tuned conformations and restricted in position and orientation.

Leveraging Steric Moieties for Kinetic Control of DNA Strand Displacement Reactions.

DNA strand displacement networks are a critical part of dynamic DNA nanotechnology and are proven primitives for implementing chemical reaction networks. Precise kinetic control of these networks is important for their use in a range of applications. Among the better understood and widely leveraged kinetic properties of these networks are toehold sequence, length, composition, and location. While steric hindrance has been recognized as an important factor in such systems, a clear understanding of its impact and role is lacking. Here, a systematic investigation of steric hindrance within a DNA toehold-mediated strand displacement network was performed through tracking kinetic reactions of reporter complexes with incremental concatenation of steric moieties near the toehold. Two subsets of steric moieties were tested with systematic variation of structures and reaction conditions to isolate sterics from electrostatics. Thermodynamic and coarse-grained computational modeling was performed to gain further insight into the impacts of steric hindrance. Steric factors yielded up to 3 orders of magnitude decrease in the reaction rate constant. This pronounced effect demonstrates that steric moieties can be a powerful tool for kinetic control in strand displacement networks while also being more broadly informative of DNA structural assembly in both DNA-based therapeutic and diagnostic applications that possess elements of steric hindrance through DNA functionalization with an assortment of chemistries.

Targeted Selection of Aptamer Complementary Elements toward Rapid Development of Aptamer Transducers.

Biosensing using aptamers has been a recent interest for their versatility in detecting many different analytes across a wide range of applications, including medical and environmental applications. In our last work, we introduced a customizable aptamer transducer (AT) that could successfully feed-forward many different output domains to target a variety of reporters and amplification reaction networks. In this paper, we explore the kinetic behavior and performance of novel ATs by modifying the aptamer complementary element (ACE) chosen based on a technique for exploring the ligand-binding landscape of duplexed aptamers. Using published data, we selected and constructed several modified ATs that contain ACEs with varying length, position of the start sites, and position of single mismatches, whose kinetic responses were tracked with a simple fluorescence reporter. A kinetic model for ATs was derived and used to extract the strand-displacement reaction constant k1 and the effective aptamer dissociation constant Kd,eff, allowing us to calculate a relative performance metric, k1/Kd,eff. Comparing our results with the predictions based on the literature data, we provide useful insight into the dynamics of the adenosine AT's duplexed aptamer domain and suggest a high-throughput approach for future ATs to be developed with improved sensitivity. The performance of our ATs showed a moderate correlation to those predicted by the ACE scan method. Here, we find that predicted performance based on our ACE selection method was moderately correlated to our AT's performance.

Customizable Aptamer Transducer Network Designed for Feed-Forward Coupling.

Solution-based biosensors that utilize aptamers have been engineered in a variety of formats to detect a range of analytes for both medical and environmental applications. However, since aptamers have fixed base sequences, incorporation of aptamers into DNA strand displacement networks for feed-forward signal amplification and processing requires significant redesign of downstream DNA reaction networks. We designed a novel aptamer transduction network that releases customizable output domains, which can then be used to initiate downstream strand displacement reaction networks without any sequence redesign of the downstream reaction networks. In our aptamer transducer (AT), aptamer input domains are independent of output domains within the same DNA complex and are reacted with a fuel strand after aptamer-ligand binding. ATs were designed to react with two fluorescent dye-labeled reporter complexes to show the customizability of the output domains, as well as being used as feed-forward inputs to two previously studied catalytic reaction networks, which can be used as amplifiers. Through our study, we show both successful customizability and feed-forward capability of our ATs.

Availability-Driven Design of Hairpin Fuels and Small Interfering Strands for Leakage Reduction in Autocatalytic Networks.

DNA-based circuits and computational tools offer great potential for advanced biomedical and technological applications. However, leakage, which is the production of an output in the absence of an input, widely exists in DNA network. As a new approach to leakage reduction, this study utilizes availability to reduce leakage in an entropy-driven autocatalytic DNA reaction networks. Here, we report the performance improvements resulting from direct tailoring of fuel strand availability through two novel approaches: (1) the addition of interfering domains to fuel strands, and (2) the introduction of separate small interfering strands. The best performing fuel designs resulted in increased performance ratios of up to 22%. Employing small interfering strands (5-12 nucleotides (nt)) improved the performance ratios by up to 21%. Furthermore, the stability of the network using either leakage reduction method matched well with computed availability and experimental results showing Spearman correlation coefficients of -0.84 for modified fuel strands and -0.92 for small interfering strands.