Protein-driven RNA nanostructured devices that function in vitro and control mammalian cell fate

Autonomous Nucleic Acid and Protein Nanocomputing Agents Engineered to Operate in Living Cells

In recent years, the rapid development and employment of autonomous technology have been observed in many areas of human activity. Autonomous technology can readily adjust its function to environmental conditions and enable an efficient operation without human control. While applying the same concept to designing advanced biomolecular therapies would revolutionize nanomedicine, the design approaches to engineering biological nanocomputing agents for predefined operations within living cells remain a challenge. Autonomous nanocomputing agents made of nucleic acids and proteins are an appealing idea, and two decades of research has shown that the engineered agents act under real physical and biochemical constraints in a logical manner. Throughout all domains of life, nucleic acids and proteins perform a variety of vital functions, where the sequence-defined structures of these biopolymers either operate on their own or efficiently function together. This programmability and synergy inspire massive research efforts that utilize the versatility of nucleic and amino acids to encode functions and properties that otherwise do not exist in nature. This Perspective covers the key concepts used in the design and application of nanocomputing agents and discusses potential limitations and paths forward.

Structure and RNA-binding of the helically extended Roquin CCCH-type zinc finger

Zinc finger (ZnF) domains appear in a pool of structural contexts and despite their small size achieve varying target specificities, covering single-stranded and double-stranded DNA and RNA as well as proteins. Combined with other RNA-binding domains, ZnFs enhance affinity and specificity of RNA-binding proteins (RBPs). The ZnF-containing immunoregulatory RBP Roquin initiates mRNA decay, thereby controlling the adaptive immune system. Its unique ROQ domain shape-specifically recognizes stem-looped cis-elements in mRNA 3'-untranslated regions (UTR). The N-terminus of Roquin contains a RING domain for protein-protein interactions and a ZnF, which was suggested to play an essential role in RNA decay by Roquin. The ZnF domain boundaries, its RNA motif preference and its interplay with the ROQ domain have remained elusive, also driven by the lack of high-resolution data of the challenging protein. We provide the solution structure of the Roquin-1 ZnF and use an RBNS-NMR pipeline to show that the ZnF recognizes AU-rich RNAs. We systematically refine the contributions of adenines in a poly(U)-background to specific complex formation. With the simultaneous binding of ROQ and ZnF to a natural target transcript of Roquin, our study for the first time suggests how Roquin integrates RNA shape and sequence features through the ROQ-ZnF tandem.

Engineered deaminases as a key component of DNA and RNA editing tools

Over recent years, zinc-dependent deaminases have attracted increasing interest as key components of nucleic acid editing tools that can generate point mutations at specific sites in either DNA or RNA by combining a targeting module (such as a catalytically impaired CRISPR-Cas component) and an effector module (most often a deaminase). Deaminase-based molecular tools are already being utilized in a wide spectrum of therapeutic and research applications; however, their medical and biotechnological potential seems to be much greater. Recent reports indicate that the further development of nucleic acid editing systems depends largely on our ability to engineer the substrate specificity and catalytic activity of the editors themselves. In this review, we summarize the current trends and achievements in deaminase engineering. The presented data indicate that the potential of these enzymes has not yet been fully revealed or understood. Several examples show that even relatively minor changes in the structure of deaminases can give them completely new and unique properties.

Dual Input-Controlled Synthetic mRNA Circuit for Bidirectional Protein Expression Regulation

Synthetic mRNA circuits manipulate cell fate by controlling output protein expression via cell-specific input molecule detection. Most current circuits either repress or enhance output production upon input binding. Such binary input-output mechanisms restrict the fine-tuning of protein expression to control complex cellular events. Here we designed mRNA circuits using enhancer/repressor modules that were independently controlled by different input molecules, resulting in bidirectional output regulation; the maximal enhancement over maximal repression was 57 fold. The circuit either enhances or represses protein production in different cells based on the difference in the expression of two microRNAs. This study examined novel bidirectional circuit designs capable of fine-tuning protein production by sensing multiple input molecules. It also broadened the scope of cell manipulation by synthetic mRNA circuits, facilitating the development of mRNA circuits for precise cell manipulation and providing cell-based solutions to biomedical problems.

Structure, folding and flexibility of co-transcriptional RNA origami

RNA origami is a method for designing RNA nanostructures that can self-assemble through co-transcriptional folding with applications in nanomedicine and synthetic biology. However, to advance the method further, an improved understanding of RNA structural properties and folding principles is required. Here we use cryogenic electron microscopy to study RNA origami sheets and bundles at sub-nanometre resolution revealing structural parameters of kissing-loop and crossover motifs, which are used to improve designs. In RNA bundle designs, we discover a kinetic folding trap that forms during folding and is only released after 10 h. Exploration of the conformational landscape of several RNA designs reveal the flexibility of helices and structural motifs. Finally, sheets and bundles are combined to construct a multidomain satellite shape, which is characterized by individual-particle cryo-electron tomography to reveal the domain flexibility. Together, the study provides a structural basis for future improvements to the design cycle of genetically encoded RNA nanodevices.

RNA Nanostructures: From Structure to Function

Nucleic-acid nanostructures, which have been designed and constructed with atomic precision, have been used as scaffolds for different molecules and proteins, as nanomachines, as computational components, and more. In particular, RNA has garnered tremendous interest as a building block for the self-assembly of sophisticated and functional nanostructures by virtue of its ease of synthesis by in vivo or in vitro transcription, its superior mechanical and thermodynamic properties, and its functional roles in nature. In this Topical Review, we describe recent developments in the use of RNA for the design and construction of nanostructures. We discuss the differences between RNA and DNA that make RNA attractive as a building block for the construction of nucleic-acid nanostructures, and we present the uses of different nanostructures─RNA alone, RNA-DNA, and functional RNA nanostructures.

RNA origami: design, simulation and application

Design strategies for DNA and RNA nanostructures have developed along parallel lines for the past 30 years, from small structural motifs derived from biology to large 'origami' structures with thousands to tens of thousands of bases. With the recent publication of numerous RNA origami structures and improved design methods-even permitting co-transcriptional folding of kilobase-sized structures - the RNA nanotechnolgy field is at an inflection point. Here, we review the key achievements which inspired and enabled RNA origami design and draw comparisons with the development and applications of DNA origami structures. We further present the available computational tools for the design and the simulation, which will be key to the growth of the RNA origami community. Finally, we portray the transition from RNA origami structure to function. Several functional RNA origami structures exist already, their expression in cells has been demonstrated and first applications in cell biology have already been realized. Overall, we foresee that the fast-paced RNA origami field will provide new molecular hardware for biophysics, synthetic biology and biomedicine, complementing the DNA origami toolbox.

Aptamer-Array-Guided Protein Assembly Enhances Synthetic mRNA Switch Performance

Synthetic messenger RNA (mRNA) switches are powerful synthetic biological tools that can sense cellular molecules to manipulate cell fate. However, their performances are limited by high output signal noise due to leaky output protein expression. Here, we designed a readout control module that disables protein leakage from generating signal. Aptamer array on the switch guides the inactive output protein to self-assemble into functional assemblies that generate output signal. Leaky protein expression fails to saturate the array, thus produces marginal signal. In this study, we demonstrated that switches with this module exhibit substantially lower signal noise and, consequently, higher input sensitivity and wider output range. Such switches are applicable for different types of input molecules and output proteins. The work here demonstrates a new type of spatially guided protein self-assembly, affording novel synthetic mRNA switches that promise accurate cell manipulation for biomedical applications.

Engineering synthetic RNA devices for cell control

The versatility of RNA in sensing and interacting with small molecules, proteins and other nucleic acids while encoding genetic instructions for protein translation makes it a powerful substrate for engineering biological systems. RNA devices integrate cellular information sensing, processing and actuation of specific signals into defined functions and have yielded programmable biological systems and novel therapeutics of increasing sophistication. However, challenges centred on expanding the range of analytes that can be sensed and adding new mechanisms of action have hindered the full realization of the field's promise. Here, we describe recent advances that address these limitations and point to a significant maturation of synthetic RNA-based devices.

Simultaneous acceleration of osteogenesis and angiogenesis by surface oxygen vacancies of rutile nanorods

Advanced implants with simultaneous accelerated osteogenic and angiogenic capacities are of great importance for osteointegration. Much attention has been paid to simultaneously enhancing the osteogenesis and angiogenesis by surface decoration of bioactive molecules or ions on biomaterial surface, but the inherent physical cue of material surface down to the atomic-scale features have always been ignored. In this study, we demonstrate that regulation of surface oxygen vacancies defects of rutile nanorods are able to simultaneous accelerate the osteogenesis and angiogenesis. The concentration of surface oxygen vacancies defects of rutile nanorods can be manipulated by simple redox processing. The osteogenic differentiation of mesenchymal stem cells (MSCs), angiogenic differentiation and vessel-like tube structures of human umbilical vein endothelial cells (HUVECs) on oxygen vacancies rich surface are significantly up-regulated. This work therefore emphasizes the critical role of the inherent material atomic-scale features and provides a novel strategy to accelerate the osteogenesis and angiogenesis of Ti-based implant.

Design of Personalized Neoantigen RNA Vaccines Against Cancer Based on Next-Generation Sequencing Data

The good clinical results of immune checkpoint inhibitors (ICIs) in recent cancer therapy and the success of RNA vaccines against SARS-nCoV2 have provided important lessons to the scientific community. On the one hand, the efficacy of ICI depends on the number and immunogenicity of tumor neoantigens (TNAs) which unfortunately are not abundantly expressed in many cancer subtypes. On the other hand, novel RNA vaccines have significantly improved both the stability and immunogenicity of mRNA and its efficient delivery, this way overcoming past technique limitations and also allowing a quick vaccine development at the same time. These two facts together have triggered a resurgence of therapeutic cancer vaccines which can be designed to include individual TNAs and be synthesized in a timeframe short enough to be suitable for the tailored treatment of a given cancer patient.In this chapter, we explain the pipeline for the synthesis of TNA-carrying RNA vaccines which encompasses several steps such as individual tumor next-generation sequencing (NGS), selection of immunogenic TNAs, nucleic acid synthesis, drug delivery systems, and immunogenicity assessment, all of each step comprising different alternatives and variations which will be discussed.

Protein-RNA interaction guided chemical modification of Dicer substrate RNA nanostructures for superior in vivo gene silencing

Dicer substrate RNA is an alternative gene silencing agent to canonical siRNA. Enhanced in vitro gene silencing can be achieved with RNA substrates by facilitating Ago loading of dsRNA after Dicer processing. However, the in vivo use of Dicer substrate RNA has been hindered by its instability and immunogenicity in the body due to the lack of proper chemical modification in the structure. Here, we report a universal chemical modification approach for Dicer substrate RNA nanostructures by optimizing protein-RNA interactions in the RNAi pathway. Proteins involved in the RNAi pathway were utilized for evaluating their recognition and binding of substrate RNA. It was found that conventional chemical modifications could severely affect the binding and processing of substrate RNA, consequently reducing RNAi activity. Protein-RNA interaction guided chemical modification was introduced to RNA nanostructures, and their gene silencing activity was assessed. The optimized RNA nanostructures showed excellent binding and processability with RNA binding proteins and offered the enhancement of in vivo EC₅₀ up to 1/8 of its native form.

Nano-sandwich composite by kinetic trapping assembly from protein and nucleic acid

Design and preparation of layered composite materials alternating between nucleic acids and proteins has been elusive due to limitations in occurrence and geometry of interaction sites in natural biomolecules. We report the design and kinetically controlled stepwise synthesis of a nano-sandwich composite by programmed noncovalent association of protein, DNA and RNA modules. A homo-tetramer protein core was introduced to control the self-assembly and precise positioning of two RNA–DNA hybrid nanotriangles in a co-parallel sandwich arrangement. Kinetically favored self-assembly of the circularly closed nanostructures at the protein was driven by the intrinsic fast folding ability of RNA corner modules which were added to precursor complex of DNA bound to the protein. The 3D architecture of this first synthetic protein–RNA–DNA complex was confirmed by fluorescence labeling and cryo-electron microscopy studies. The synthesis strategy for the nano-sandwich composite provides a general blueprint for controlled noncovalent assembly of complex supramolecular architectures from protein, DNA and RNA components, which expand the design repertoire for bottom-up preparation of layered biomaterials.

Folding RNA-Protein Complex into Designed Nanostructures

RNA-protein (RNP) complexes are promising biomaterials for the fields of nanotechnology and synthetic biology. Protein-responsive RNA sequences (RNP motifs) can be integrated into various RNAs, such as messenger RNA, short-hairpin RNA, and synthetic RNA nanoobjects for a variety of purposes. Direct observation of RNP interaction in solution at high resolution is important in the design and construction of RNP-mediated nanostructures. Here we describe a method to construct and visualize RNP nanostructures that precisely arrange a target protein on the RNA scaffold with nanometer scale. High-speed AFM (HS-AFM) images of RNP nanostructures show that the folding of RNP complexes of defined sizes can be directly visualized at single RNP resolution in solution.

Strategies to Build Hybrid Protein-DNA Nanostructures

Proteins and DNA exhibit key physical chemical properties that make them advantageous for building nanostructures with outstanding features. Both DNA and protein nanotechnology have growth notably and proved to be fertile disciplines. The combination of both types of nanotechnologies is helpful to overcome the individual weaknesses and limitations of each one, paving the way for the continuing diversification of structural nanotechnologies. Recent studies have implemented a synergistic combination of both biomolecules to assemble unique and sophisticate protein-DNA nanostructures. These hybrid nanostructures are highly programmable and display remarkable features that create new opportunities to build on the nanoscale. This review focuses on the strategies deployed to create hybrid protein-DNA nanostructures. Here, we discuss strategies such as polymerization, spatial directing and organizing, coating, and rigidizing or folding DNA into particular shapes or moving parts. The enrichment of structural DNA nanotechnology by incorporating protein nanotechnology has been clearly demonstrated and still shows a large potential to create useful and advanced materials with cell-like properties or dynamic systems. It can be expected that structural protein-DNA nanotechnology will open new avenues in the fabrication of nanoassemblies with unique functional applications and enrich the toolbox of bionanotechnology.

RNA origami design tools enable cotranscriptional folding of kilobase-sized nanoscaffolds

RNA origami is a framework for the modular design of nanoscaffolds that can be folded from a single strand of RNA, and used to organize molecular components with nanoscale precision. Design of genetically expressible RNA origami, which must cotranscriptionally fold, requires modeling and design tools that simultaneously consider thermodynamics, folding pathway, sequence constraints, and pseudoknot optimization. Here, we describe RNA Origami Automated Design software (ROAD), which builds origami models from a library of structural modules, identifies potential folding barriers, and designs optimized sequences. Using ROAD, we extend the scale and functional diversity of RNA scaffolds, creating 32 designs of up to 2360 nucleotides, five that scaffold two proteins, and seven that scaffold two small molecules at precise distances. Micrographic and chromatographic comparison of optimized and nonoptimized structures validates that our principles for strand routing and sequence design substantially improve yield. By providing efficient design of RNA origami, ROAD may simplify construction of custom RNA scaffolds for nanomedicine and synthetic biology.

Genetically encoded RNA nanodevices for cellular imaging and regulation

Nucleic acid-based nanodevices have been widely used in the fields of biosensing and nanomedicine. Traditionally, the majority of these nanodevices were first constructed in vitro using synthetic DNA or RNA oligonucleotides and then delivered into cells. Nowadays, the emergence of genetically encoded RNA nanodevices has provided a promising alternative approach for intracellular analysis and regulation. These genetically encoded RNA-based nanodevices can be directly transcribed and continuously produced inside living cells. A variety of highly precise and programmable nanodevices have been constructed in this way during the last decade. In this review, we will summarize the recent advances in the design and function of these artificial genetically encoded RNA nanodevices. In particular, we will focus on their applications in regulating cellular gene expression, imaging, logic operation, structural biology, and optogenetics. We believe these versatile RNA-based nanodevices will be broadly used in the near future to probe and program cells and other biological systems.

Synthetic DNA for Cell-Surface Engineering

The cell membrane is not only a physical barrier, but also a functional organelle that regulates the communication between a cell and its environment. The ability to functionalize the cell membrane with synthetic molecules or nanostructures would advance cellular functions beyond what evolution has provided. The aim of this Minireview is to introduce recent progress in using synthetic DNA and DNA-based nanostructures for cell-surface engineering. We first introduce chemical conjugation and physical binding methods for monovalent and polyvalent surface engineering. We then introduce the application of these methods for either the promotion or inhibition of cell-environment communication in numerous applications, including the promotion of cell-cell recognition, regulation of intracellular pathways, protection of therapeutic cells, and sensing of the intracellular and extracellular microenvironments. Lastly, we summarize current challenges existing in this area and potential solutions to solve these challenges.

Protein-ensemble-RNA docking by efficient consideration of protein flexibility through homology models

MOTIVATION

Given the importance of protein-ribonucleic acid (RNA) interactions in many biological processes, a variety of docking algorithms have been developed to predict the complex structure from individual protein and RNA partners in the past decade. However, due to the impact of molecular flexibility, the performance of current methods has hit a bottleneck in realistic unbound docking. Pushing the limit, we have proposed a protein-ensemble-RNA docking strategy to explicitly consider the protein flexibility in protein-RNA docking through an ensemble of multiple protein structures, which is referred to as MPRDock. Instead of taking conformations from MD simulations or experimental structures, we obtained the multiple structures of a protein by building models from its homologous templates in the Protein Data Bank (PDB).

RESULTS

Our approach can not only avoid the reliability issue of structures from MD simulations but also circumvent the limited number of experimental structures for a target protein in the PDB. Tested on 68 unbound-bound and 18 unbound-unbound protein-RNA complexes, our MPRDock/DITScorePR considerably improved the docking performance and achieved a significantly higher success rate than single-protein rigid docking whether pseudo-unbound templates are included or not. Similar improvements were also observed when combining our ensemble docking strategy with other scoring functions. The present homology model-based ensemble docking approach will have a general application in molecular docking for other interactions.

AVAILABILITY AND IMPLEMENTATION

http://huanglab.phys.hust.edu.cn/mprdock/.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

Innate immune responses triggered by nucleic acids inspire the design of immunomodulatory nucleic acid nanoparticles (NANPs)

The unknown immune stimulation by nucleic acid nanoparticles (NANPs) has become one of the major impediments to a broad spectrum of clinical developments of this novel technology. Having evolved to defend against bacterial and viral nucleic acids, mammalian cells have established patterns of recognition that are also the pathways through which NANPs can be processed. Explorations into the immune stimulation brought about by a vast diversity of known NANPs have shown that variations in design correlate with variations in immune response. Therefore, as the mechanisms of stimulation are further elucidated, these trends are now being taken into account in the design phase to allow for development of NANPs that are tailored for controlled immune activation or quiescence.

Functional Applications of Nucleic Acid-Protein Hybrid Nanostructures

Combining the diverse chemical functionality of proteins with the predictable structural assembly of nucleic acids has enabled the creation of hybrid nanostructures for a range of biotechnology applications. Through the attachment of proteins onto or within nucleic acid nanostructures, materials with dynamic capabilities can be created that include switchable enzyme activity, targeted drug delivery, and multienzyme cascades for biocatalysis. Investigations of difficult-to-study biological mechanisms have also been aided by using DNA-protein assemblies that mimic natural processes in a controllable manner. Furthermore, advances that enable the recombinant production and intracellular assembly of hybrid nanostructures have the potential to overcome the significant manufacturing cost that has limited the use of DNA and RNA nanotechnology.

Modular protein-DNA hybrid nanostructures as a drug delivery platform

With the increasing number of identified intracellular drug targets, cytosolic drug delivery has gained much attention. Despite advances in synthetic drug carriers, however, construction of homogeneous and biocompatible nanostructures in a controllable manner still remains a challenge in a translational medicine. Herein, we present the modular design and assembly of functional DNA nanostructures through sequence-specific interactions between zinc-finger proteins (ZnFs) and DNA as a cytosolic drug delivery platform. Three kinds of DNA-binding ZnF domains were genetically fused to various proteins with different biological roles, including targeting moiety, molecular probe, and therapeutic cargo. The engineered ZnFs were employed as distinct functional modules, and incorporated into a designed ZnF-binding sequence of a Y-shaped DNA origami (Y-DNA). The resulting functional Y-DNA nanostructures (FYDN) showed self-assembled superstructures with homogeneous morphology, strong resistance to exonuclease activity and multi-modality. We demonstrated the general utility of our approach by showing efficient cytosolic delivery of PTEN tumour suppressor protein to rescue unregulated kinase signaling in cancer cells with negligible nonspecific cytotoxicity.

RNA nanotechnology in synthetic biology

We review recent advances in the design and expression of synthetic RNA sequences inside cells, to regulate gene expression and to achieve spatial localization of components. We focus on approaches that exploit the programmability of the secondary and tertiary structure of RNA to build scalable and modular devices that fold spontaneously and have the capacity to respond to environmental inputs.

Improved Nucleic Acid Therapy with Advanced Nanoscale Biotechnology

Due to a series of systemic and intracellular obstacles in nucleic acid (NA) therapy, including fast degradation in blood, renal clearance, poor cellular uptake, and inefficient endosomal escape, NAs may need delivery methods to transport to the cell nucleus or cytosol to be effective. Advanced nanoscale biotechnology-associated strategies, such as controlling the particle size, charge, drug loading, response to environmental signals, or other physical/chemical properties of delivery carriers, have provided great help for the in vivo and in vitro delivery of NA therapeutics. In this review, we introduce the characteristics of different NA modalities and illustrate how advanced nanoscale biotechnology assists NA therapy. The specific features and challenges of various nanocarriers in clinical and preclinical studies are summarized and discussed. With the help of advanced nanoscale biotechnology, some of the major barriers to the development of NA therapy will eventually be overcome in the near future.

Single-molecule analysis of i-motif within self-assembled DNA duplexes and nanocircles

The cytosine (C)-rich sequences that can fold into tetraplex structures known as i-motif are prevalent in genomic DNA. Recent studies of i-motif-forming sequences have shown increasing evidence of their roles in gene regulation. However, most of these studies have been performed in short single-stranded oligonucleotides, far from the intracellular environment. In cells, i-motif-forming sequences are flanked by DNA duplexes and packed in the genome. Therefore, exploring the conformational dynamics and kinetics of i-motif under such topologically constrained environments is highly relevant in predicting their biological roles. Using single-molecule fluorescence analysis of self-assembled DNA duplexes and nanocircles, we show that the topological environments play a key role on i-motif stability and dynamics. While the human telomere sequence (C3TAA)3C3 assumes i-motif structure at pH 5.5 regardless of topological constraint, it undergoes conformational dynamics among unfolded, partially folded and fully folded states at pH 6.5. The lifetimes of i-motif and the partially folded state at pH 6.5 were determined to be 6 ± 2 and 31 ± 11 s, respectively. Consistent with the partially folded state observed in fluorescence analysis, interrogation of current versus time traces obtained from nanopore analysis at pH 6.5 shows long-lived shallow blockades with a mean lifetime of 25 ± 6 s. Such lifetimes are sufficient for the i-motif and partially folded states to interact with proteins to modulate cellular processes.

Recent Advances in Machine Learning Based Prediction of RNA-protein Interactions

The interactions between RNAs and proteins play critical roles in many biological processes. Therefore, characterizing these interactions becomes critical for mechanistic, biomedical, and clinical studies. Many experimental methods can be used to determine RNA-protein interactions in multiple aspects. However, due to the facts that RNA-protein interactions are tissuespecific and condition-specific, as well as these interactions are weak and frequently compete with each other, those experimental techniques can not be made full use of to discover the complete spectrum of RNA-protein interactions. To moderate these issues, continuous efforts have been devoted to developing high quality computational techniques to study the interactions between RNAs and proteins. Many important progresses have been achieved with the application of novel techniques and strategies, such as machine learning techniques. Especially, with the development and application of CLIP techniques, more and more experimental data on RNA-protein interaction under specific biological conditions are available. These CLIP data altogether provide a rich source for developing advanced machine learning predictors. In this review, recent progresses on computational predictors for RNA-protein interaction were summarized in the following aspects: dataset, prediction strategies, and input features. Possible future developments were also discussed at the end of the review.

Small-Angle Scattering as a Structural Probe for Nucleic Acid Nanoparticles (NANPs) in a Dynamic Solution Environment

Nucleic acid-based technologies are an emerging research focus area for pharmacological and biological studies because they are biocompatible and can be designed to produce a variety of scaffolds at the nanometer scale. The use of nucleic acids (ribonucleic acid (RNA) and/or deoxyribonucleic acid (DNA)) as building materials in programming the assemblies and their further functionalization has recently established a new exciting field of RNA and DNA nanotechnology, which have both already produced a variety of different functional nanostructures and nanodevices. It is evident that the resultant architectures require detailed structural and functional characterization and that a variety of technical approaches must be employed to promote the development of the emerging fields. Small-angle X-ray and neutron scattering (SAS) are structural characterization techniques that are well placed to determine the conformation of nucleic acid nanoparticles (NANPs) under varying solution conditions, thus allowing for the optimization of their design. SAS experiments provide information on the overall shapes and particle dimensions of macromolecules and are ideal for following conformational changes of the molecular ensemble as it behaves in solution. In addition, the inherent differences in the neutron scattering of nucleic acids, lipids, and proteins, as well as the different neutron scattering properties of the isotopes of hydrogen, combined with the ability to uniformly label biological macromolecules with deuterium, allow one to characterize the conformations and relative dispositions of the individual components within an assembly of biomolecules. This article will review the application of SAS methods and provide a summary of their successful utilization in the emerging field of NANP technology to date, as well as share our vision on its use in complementing a broad suite of structural characterization tools with some simulated results that have never been shared before.

Versatile kit of robust nanoshapes self-assembling from RNA and DNA modules

DNA and RNA have emerged as a material for nanotechnology applications that take advantage of the nucleic acids' ability to encode folding and programmable self-assembly through mainly base pairing. The two types of nucleic acid have rarely been used in combination to enhance structural diversity or for partitioning of functional and architectural roles. Here, we report a design and screening strategy to integrate combinations of RNA motifs as architectural joints and DNA building blocks as functional modules for programmable self-assembly of a versatile toolkit of polygonal nucleic acid nanoshapes. Clean incorporation of diverse DNA modules with various topologies attest to the extraordinary robustness of the RNA-DNA hybrid framework. The design and screening strategy enables systematic development of RNA-DNA hybrid nanoshapes as programmable platforms for applications in molecular recognition, sensor and catalyst development as well as protein interaction studies.

Broccoli Fluorets: Split Aptamers as a User-Friendly Fluorescent Toolkit for Dynamic RNA Nanotechnology

RNA aptamers selected to bind fluorophores and activate their fluorescence offer a simple and modular way to visualize native RNAs in cells. Split aptamers which are inactive until the halves are brought within close proximity can become useful for visualizing the dynamic actions of RNA assemblies and their interactions in real time with low background noise and eliminated necessity for covalently attached dyes. Here, we design and test several sets of F30 Broccoli aptamer splits, that we call fluorets, to compare their relative fluorescence and physicochemical stabilities. We show that the splits can be simply assembled either through one-pot thermal annealing or co-transcriptionally, thus allowing for direct tracking of transcription reactions via the fluorescent response. We suggest a set of rules that enable for the construction of responsive biomaterials that readily change their fluorescent behavior when various stimuli such as the presence of divalent ions, exposure to various nucleases, or changes in temperature are applied. We also show that the strand displacement approach can be used to program the controllable fluorescent responses in isothermal conditions. Overall, this work lays a foundation for the future development of dynamic systems for molecular computing which can be used to monitor real-time processes in cells and construct biocompatible logic gates.

RNA Fibers as Optimized Nanoscaffolds for siRNA Coordination and Reduced Immunological Recognition

RNA is a versatile biomaterial that can be used to engineer nanoassemblies for personalized treatment of various diseases. Despite promising advancements, the design of RNA nanoassemblies with minimal recognition by the immune system remains a major challenge. Here, an approach is reported to engineer RNA fibrous structures to operate as a customizable platform for efficient coordination of siRNAs and for maintaining low immunostimulation. Functional RNA fibers are studied in silico and their formation is confirmed by various experimental techniques and visualized by atomic force microscopy (AFM). It is demonstrated that the RNA fibers offer multiple advantages among which are: i) programmability and modular design that allow for simultaneous controlled delivery of multiple siRNAs and fluorophores, ii) reduced immunostimulation when compared to other programmable RNA nanoassemblies, and iii) simple production protocol for endotoxin-free fibers with the option of their cotranscriptional assembly. Furthermore, it is shown that functional RNA fibers can be efficiently delivered with various organic and inorganic carriers while retaining their structural integrity in cells. Specific gene silencing triggered by RNA fibers is assessed in human breast cancer and melanoma cell lines, with the confirmed ability of functional fibers to selectively target single nucleotide mutations.

RNA nanostructures and scaffolds for biotechnology applications

RNA plays important roles in the regulation of gene expressions and other cellular functions. It functions as both as an informational carrier and a nanomachine due to its complementary base-pairing ability and complexed three-dimensional structure. Several nanostructures have been designed and constructed by exploiting these natural RNA properties. In this review, we will introduce the design principles of RNA nanostructures and their biotechnology applications as molecular scaffolds. RNA-based molecular scaffolds can control the accumulation and interaction of target proteins at nanometer-scale to regulate the function of bacterial and mammalian cells. Combining useful property of RNA as a nano-material and a molecular scaffold may provide us powerful tools in biological research, bioengineering, and future medicine.