Barcode extension for analysis and reconstruction of structures

DNA-guided self-assembly in living cells

Self-assembly processes exist widely in life systems and play essential roles in maintaining life activities. It is promising to explore the molecular fundamentals and mechanisms of life systems through artificially constructing self-assembly systems in living cells. As an excellent self-assembly construction material, deoxyribonucleic acid (DNA) has been widely used to achieve the precise construction of self-assembly systems in living cells. This review focuses on the recent progress of DNA-guided intracellular self-assembly. First, the methods of intracellular DNA self-assembly based on the conformational transition of DNA are summarized, including complementary base pairing, the formation of G-quadruplex/i-motif, and the specific recognition of DNA aptamer. Next, The applications of DNA-guided intracellular self-assembly on the detection of intracellular biomolecules and the regulation of cell behaviors are introduced, and the molecular design of DNA in the self-assembly systems is discussed in detail. Ultimately, the challenges and opportunities of DNA-guided intracellular self-assembly are commented.

Ultrasensitive and multiplexed miRNA detection system with DNA-PAINT

MiRNAs hold great potential as biomarkers for the early detection and monitoring of diseases based on their differential expression profiles. Therefore, the sensitive, specific and accurate detection of miRNAs represents an emerging new tool to improve diagnosis and treatment of several diseases, cancer in particular. DNA origami-based miRNA detection is particularly advantageous as it allows to incorporate multiple attachment sites to capture different target miRNAs at the nanoscale. In this work, we present a DNA origami nanoarray system providing distance-dependent recognition of miRNAs by applying super-resolution microscopy technique; DNA-PAINT (point accumulation for imaging in nanoscale topography). The sensor can detect up to 4 miRNAs either separately or in combination based on the relative distance to the boundary markers on the structure using a single imager strand. The detection is highly sensitive, with a limit of detection down to the low femtomolar range (11 fM - 388 fM) and has a large dynamic range up to 10 nM without need for amplification. Moreover, our detection system can discriminate single base mismatches with low false positive rates. Using our strategy, we demonstrate the detection of endogenous miRNAs from cell extracts of cancer cell lines and plasma from breast cancer patients. Overall, we developed an ultrasensitive and amplification-free, DNA-PAINT imaging-based miRNA detection method using DNA origami nanoarray system for the detection of breast-cancer associated miRNAs which potentially provides a sensitive and accurate alternative to the current multiplexed diagnostic technologies.

The Free-Energy Landscape of a Mechanically Bistable DNA Origami

Molecular simulations using coarse-grained models allow the structure, dynamics and mechanics of DNA origamis to be comprehensively characterized. Here, we focus on the free-energy landscape of a jointed DNA origami that has been designed to exhibit two mechanically stable states and for which a bistable landscape has been inferred from ensembles of structures visualized by electron microscopy. Surprisingly, simulations using the oxDNA model predict that the defect-free origami has a single free-energy minimum. The expected second state is not stable because the hinge joints do not simply allow free angular motion but instead lead to increasing free-energetic penalties as the joint angles relevant to the second state are approached. This raises interesting questions about the cause of this difference between simulations and experiment, such as how assembly defects might affect the ensemble of structures observed experimentally.

Quantification of Strand Accessibility in Biostable DNA Origami with Single-Staple Resolution

DNA-based nanostructures are actively gaining interest as tools for biomedical and therapeutic applications following the recent development of protective coating strategies prolonging structural integrity in physiological conditions. For tailored biological action, these nanostructures are often functionalized with targeting or imaging labels using DNA base pairing. Only if these labels are accessible on the structure's surface will they be able to interact with their intended biological target. However, the accessibility of functional sites for different geometries and environments, specifically after the application of a protective coating, is currently not known. Here, we assay this accessibility on the level of single handle strands with two- and three-dimensional resolution using DNA-PAINT and show that the hybridization kinetics of top and bottom sides on the same nanostructure linked to a surface remain unaltered. We furthermore demonstrate that the functionality of the structures remains available after an oligolysine-PEG coating is applied, enabling bioassays where functionality and stability are imperative.

Regulating DNA Self-Assembly Dynamics with Controlled Nucleation

Controlling the nucleation step of a self-assembly system is essential for engineering structural complexity and dynamic behaviors. Here, we design a "frame-filling" model system that comprises one type of self-complementary DNA tile and a hosting DNA origami frame to investigate the inherent dynamics of three general nucleation modes in nucleated self-assembly: unseeded, facet, and seeded nucleation. Guided by kinetic simulation, which suggested an optimal temperature range to differentiate the individual nucleation modes, and complemented by single-molecule observations, the transition of tiles from a metastable, monomeric state to a stable, polymerized state through the three nucleation pathways was monitored by Mg²⁺-triggered kinetic measurements. The temperature-dependent kinetics for all three nucleation modes were correlated by a "nucleation-growth" model, which quantified the tendency of nucleation using an empirical nucleation number. Moreover, taking advantage of the temperature dependence of nucleation, tile assembly can be regulated externally by the hosting frame. An ultraviolet (UV)-responsive trigger was integrated into the frame to simultaneously control "when" and "where" nucleation started. Our results reveal the dynamic mechanisms of the distinct nucleation modes in DNA tile-based self-assembly and provide a general strategy for controlling the self-assembly process.

Computing the Elastic Mechanical Properties of Rodlike DNA Nanostructures

To study the elastic properties of rodlike DNA nanostructures, we perform long simulations of these structures using the oxDNA coarse-grained model. By analyzing the fluctuations in these trajectories, we obtain estimates of the bend and twist persistence lengths and the underlying bend and twist elastic moduli and couplings between them. Only on length scales beyond those associated with the spacings between the interhelix crossovers do the bending fluctuations behave like those of a wormlike chain. The obtained bending persistence lengths are much larger than that for double-stranded DNA and increase nonlinearly with the number of helices, whereas the twist moduli increase approximately linearly. To within the numerical error in our data, the twist-bend coupling constants are of order zero. That the bending persistence lengths that we obtain are generally somewhat higher than in experiment probably reflects both that the simulated origamis have no assembly defects and that the oxDNA extensional modulus for double-stranded DNA is too large.

Stiffness and Membrane Anchor Density Modulate DNA-Nanospring-Induced Vesicle Tubulation

DNA nanotechnology provides an avenue for the construction of rationally designed artificial assemblages with well-defined and tunable architectures. Shaped to mimic natural membrane-deforming proteins and equipped with membrane anchoring molecules, curved DNA nanostructures can reproduce subcellular membrane remodeling events such as vesicle tubulation in vitro. To systematically analyze how structural stiffness and membrane affinity of DNA nanostructures affect the membrane remodeling outcome, here we build DNA-origami curls with varying thickness and amphipathic peptide density, and have them polymerize into nanosprings on the surface of liposomes. We find that modestly reducing rigidity and maximizing the number of membrane anchors not only promote membrane binding and remodeling but also lead to the formation of lipid tubules with better defined diameters, highlighting the ability of programmable DNA-based constructs to controllably deform the membrane.

Effects of Design Choices on the Stiffness of Wireframe DNA Origami Structures

DNA origami is a powerful method for the creation of 3D nanoscale objects, and in the past few years, interest in wireframe origami designs has increased due to their potential for biomedical applications. In DNA wireframe designs, the construction material is double-stranded DNA, which has a persistence length of around 50 nm. In this work, we study the effect of various design choices on the stiffness versus final size of nanoscale wireframe rods, given the constraints on origami designs set by the DNA origami scaffold size. An initial theoretical analysis predicts two competing mechanisms limiting rod stiffness, whose balancing results in an optimal edge length. For small edge lengths, the bending of the rod's overall frame geometry is the dominant factor, while the flexibility of individual DNA edges has a greater contribution at larger edge lengths. We evaluate our design choices through simulations and experiments and find that the stiffness of the structures increases with the number of sides in the cross-section polygon and that there are indications of an optimal member edge length. We also ascertain the effect of nicked DNA edges on the stiffness of the wireframe rods and demonstrate that ligation of the staple breakpoint nicks reduces the observed flexibility. Our simulations also indicate that the persistence length of wireframe DNA structures significantly decreases with increasing monovalent salt concentration.

Direct observation and rational design of nucleation behavior in addressable self-assembly

Current efforts aimed at constructing complex supramolecular structures often suffer from low yields or require long assembly protocols. We address these problems by demonstrating a facile strategy for optimizing the nucleation step of a multicomponent self-assembly reaction. By tracking the formation of multisubunit clusters in situ, our experiments show that modifying the critical nucleus required to initiate structure growth can broaden the range of conditions over which self-assembly occurs and, consequently, can dramatically improve the final yield of correctly formed structures. Since varying the design of only a small portion of the target structure optimizes its yield, this strategy provides a practical route to improve the speed and accuracy of self-assembly in biomolecular, colloidal, and nanoparticle systems.

To optimize a self-assembly reaction, it is essential to understand the factors that govern its pathway. Here, we examine the influence of nucleation pathways in a model system for addressable, multicomponent self-assembly based on a prototypical “DNA-brick” structure. By combining temperature-dependent dynamic light scattering and atomic force microscopy with coarse-grained simulations, we show how subtle changes in the nucleation pathway profoundly affect the yield of the correctly formed structures. In particular, we can increase the range of conditions over which self-assembly occurs by using stable multisubunit clusters that lower the nucleation barrier for assembling subunits in the interior of the structure. Consequently, modifying only a small portion of a structure is sufficient to optimize its assembly. Due to the generality of our coarse-grained model and the excellent agreement that we find with our experimental results, the design principles reported here are likely to apply generically to addressable, multicomponent self-assembly.

Quantifying absolute addressability in DNA origami with molecular resolution

Self-assembled DNA nanostructures feature an unprecedented addressability with sub-nanometer precision and accuracy. This addressability relies on the ability to attach functional entities to single DNA strands in these structures. The efficiency of this attachment depends on two factors: incorporation of the strand of interest and accessibility of this strand for downstream modification. Here we use DNA-PAINT super-resolution microscopy to quantify both incorporation and accessibility of all individual strands in DNA origami with molecular resolution. We find that strand incorporation strongly correlates with the position in the structure, ranging from a minimum of 48% on the edges to a maximum of 95% in the center. Our method offers a direct feedback for the rational refinement of the design and assembly process of DNA nanostructures and provides a long sought-after quantitative explanation for efficiencies of DNA-based nanomachines.

Self-assembled DNA nanostructures hold potential as nanomachines or platforms for organized chemical synthesis, but methods for assembly quality control are lacking. Here the authors use DNA-PAINT to quantify the incorporation and accessibility of individual strands in a DNA origami platform with molecular resolution.

Programmable self-assembly of three-dimensional nanostructures from 10,000 unique components

Nucleic acids (DNA and RNA) are widely used to construct nanoscale structures with ever increasing complexity^1–14 for possible applications in fields as diverse as structural biology, biophysics, synthetic biology and photonics. The nanostructures are formed through one-pot self-assembly, with early examples typically containing on the order of 10 unique DNA strands. The introduction of DNA origami⁴, which uses many staple strands to fold one long scaffold strand into a desired structure, gave access to kilo- to mega-dalton nanostructures containing about 10² unique DNA strands^6,7,10,13 . Aiming for even larger DNA origami structures is in principle possible^15,16, but faces the challenge of having to manufacture and route an increasingly long scaffold strand. An alternative and in principle more readily scalable approach uses DNA brick assembly^8,9, which doesn’t need a scaffold and instead uses hundreds of short DNA brick strands that self-assemble according to specific inter-brick interactions. First-generation bricks used to create 3D structures are 32-nt long with four 8-nt binding domains that directed 10² distinct bricks into well-formed assemblies, but attempts to create larger structures encountered practical challenges and had limited success.⁹ Here we show that a new generation of DNA bricks with longer binding domains makes it possible to self-assemble 0.1 – 1 giga-dalton three-dimensional nanostructures from 10⁴ unique components, including a 0.5 giga-dalton cuboid containing 30,000 unique bricks and a 1 giga-dalton rotationally symmetric tetramer. We also assemble a cuboid containing 10,000 bricks and 20,000 uniquely addressable ‘nano-voxels’ that serves as a molecular canvas for three-dimensional sculpting, with introduction of sophisticated user-prescribed 3D cavities yielding structures such as letters, a complex helicoid and a teddy bear. We anticipate that, with further optimization, even larger assemblies might be accessible and prove useful as scaffolds or for positioning functional components.

Quantum-dot-encapsulated core–shell barcode particles from droplet microfluidics

A new class of QD-encapsulated core–shell barcode particles for biomedical applications were generated using a capillary microfluidic device.