Nucleic acid molecular switches

Exploiting natural riboswitches for aptamer engineering and validation

Over the past three decades, researchers have found that some engineered aptamers can be made to work well in test tubes but that these same aptamers might fail to function in cells. To help address this problem, we developed the 'Graftamer' approach, an experimental platform that exploits the architecture of a natural riboswitch to enhance in vitro aptamer selection and accelerate in vivo testing. Starting with combinatorial RNA pools that contain structural features of a guanine riboswitch aptamer interspersed with regions of random sequence, we performed multiplexed in vitro selection with a collection of small molecules. This effort yielded aptamers for quinine, guanine, and caffeine that appear to maintain structural features of the natural guanine riboswitch aptamer. Quinine and caffeine aptamers were each grafted onto a natural guanine riboswitch expression platform and reporter gene expression was monitored to determine that these aptamers function in cells. Additionally, we determined the secondary structure features and survival mechanism of a class of RNA sequences that evade the intended selection strategy, providing insight into improving this approach for future efforts. These results demonstrate that the Graftamer strategy described herein represents a convenient and straightforward approach to develop aptamers and validate their in vivo function.

Functional nucleic acid biosensors utilizing rolling circle amplification

Functional nucleic acids regulate rolling circle amplification to produce multiple detection outputs suitable for the development of point-of-care diagnostic devices.

Enzymatic Cycle-Inspired Dynamic Biosensors Affording No False-Positive Identification

There is an urgent need for reliable biosensors to detect nucleic acid of interest in clinical samples. We propose that the accuracy of the present nucleic acid-sensing method can be advanced by avoiding false-positive identifications derived from nonspecific interactions (e.g., nonspecific binding, probe degradation). The challenge is to exploit biosensors that can distinguish false-positive from true-positive samples in nucleic acid screening. In the present study, by learning from the enzymatic cycle in nature, we raise an allostery tool displaying invertible positive/negative cooperativity for reversible or cyclic activity control of the biosensing probe. We demonstrate that the silencing and regeneration of a positive (or negative) allosteric effector can be carried out through toehold displacement or an enzymatic reaction. We, thus, have developed several dynamic biosensors that can repeatedly measure a single nucleic acid sample. The ability to distinguish a false-positive from a true-positive signal is ascribed to the nonspecific interaction presenting equivalent signal variations, while the specific target binding exhibits diverse signal variations according to repeated measurements. Given its precise identification, such consequent dynamic biosensors offer exciting opportunities in physiological and pathological diagnosis.

Engineering Aptamer Switches for Multifunctional Stimulus-Responsive Nanosystems

Although RNA and DNA are best known for their capacity to encode biological information, it has become increasingly clear over the past few decades that these biomolecules are also capable of performing other complex functions, such as molecular recognition (e.g., aptamers) and catalysis (e.g., ribozymes). Building on these foundations, researchers have begun to exploit the predictable base-pairing properties of RNA and DNA in order to utilize nucleic acids as functional materials that can undergo a molecular "switching" process, performing complex functions such as signaling or controlled payload release in response to external stimuli including light, pH, ligand-binding and other microenvironmental cues. Although this field is still in its infancy, these efforts offer exciting potential for the development of biologically based "smart materials". Herein, ongoing progress in the use of nucleic acids as an externally controllable switching material is reviewed. The diverse range of mechanisms that can trigger a stimulus response, and strategies for engineering those functionalities into nucleic acid materials are explored. Finally, recent progress is discussed in incorporating aptamer switches into more complex synthetic nucleic acid-based nanostructures and functionalized smart materials.

Evaluating riboswitch optimality

Riboswitches are RNA elements that recognize diverse chemical and biomolecular inputs, and transduce this recognition process to genetic, fluorescent, and other engineered outputs using RNA conformational changes. These systems are pervasive in cellular biology and are a promising biotechnology with applications in genetic regulation and biosensing. Here, we derive a simple expression bounding the activation ratio-the proportion of RNA in the active vs. inactive states-for both ON and OFF riboswitches that operate near thermodynamic equilibrium: 1+[I]/K_d^I, where [I] is the input ligand concentration and K_d^I is the intrinsic dissociation constant of the aptamer module toward the input ligand. A survey of published studies of natural and synthetic riboswitches confirms that the vast majority of empirically measured activation ratios have remained well below this thermodynamic limit. A few natural and synthetic riboswitches achieve activation ratios close to the limit, and these molecules highlight important principles for achieving high riboswitch performance. For several applications, including "light-up" fluorescent sensors and chemically-controlled CRISPR/Cas complexes, the thermodynamic limit has not yet been achieved, suggesting that current tools are operating at suboptimal efficiencies. Future riboswitch studies will benefit from comparing observed activation ratios to this simple expression for the optimal activation ratio. We present experimental and computational suggestions for how to make these quantitative comparisons and suggest new molecular mechanisms that may allow non-equilibrium riboswitches to surpass the derived limit.

Optimization of fluorogenic RNA-based biosensors using droplet-based microfluidic ultrahigh-throughput screening

Biosensors are biological molecules able to detect and report the presence of a target molecule by the emission of a signal. Nucleic acids are particularly appealing for the design of such molecule since their great structural plasticity makes them able to specifically interact with a wide range of ligands and their structure can rearrange upon recognition to trigger a reporting event. A biosensor is typically made of three main domains: a sensing domain that is connected to a reporting domain via a communication module in charge of transmitting the sensing event through the molecule. The communication module is therefore an instrumental element of the sensor. This module is usually empirically developed through a trial-and-error strategy with the testing of only a few combinations judged relevant by the experimenter. In this work, we introduce a novel method combining the use of droplet-based microfluidics and next generation sequencing. This method allows to functionally characterize up to a million of different sequences in a single set of experiments and, by doing so, to exhaustively test every possible sequence permutations of the communication module. Here, we demonstrate the efficiency of the approach by isolating a set of optimized RNA biosensors able to sense theophylline and to convert this recognition into fluorescence emission.

Molecular Engineering of Functional Nucleic Acid Nanomaterials toward In Vivo Applications

Recent advances in nanotechnology and engineering have generated many nanomaterials with unique physical and chemical properties. Over the past decade, numerous nanomaterials are introduced into many research areas, such as sensors for environmental monitoring, food safety, point-of-care diagnostics, and as transducers for solar energy transfer. Meanwhile, functional nucleic acids (FNAs), including nucleic acid enzymes, aptamers, and aptazymes, have attracted major attention from the biomedical community due to their unique target recognition and catalytic properties. Benefiting from the recent progress of molecular engineering strategies, the physicochemical properties of nanomaterials are endowed by the target recognition and catalytic activity of FNAs in the presence of a target analyte, resulting in numerous smart nanoprobes for diverse applications including intracellular imaging, drug delivery, in vivo imaging, and tumor therapy. This progress report focuses on the recent advances in designing and engineering FNA-based nanomaterials, highlighting the functional outcomes toward in vivo applications. The challenges and opportunities for the future translation of FNA-based nanomaterials into clinical applications are also discussed.

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.

Coiled-Coil Peptide Beacon: A Tunable Conformational Switch for Protein Detection

The understanding of protein folding and assembly is of central importance for the design of proteins and enzymes with novel or improved functions. Minimalistic model systems, such as coiled-coils, provide an excellent platform to improve this understanding and to construct novel molecular devices. Along those lines, we designed a conformational switch that is composed of two coiled-coil forming peptides and a central binding epitope. In the absence of a binding partner, this switch adopts a hairpin-like conformation that opens upon receptor binding. Variation of the coiled-coil length modulates the strength of the intramolecular constraint. The two conformational states of this switch have been linked with characteristic fluorescent properties, which enables the detection of the receptor in real-time.

Chemically Accurate Relative Folding Stability of RNA Hairpins from Molecular Simulations

To benchmark RNA force fields, we compared the folding stabilities of three 12-nucleotide hairpin stem loops estimated by simulation to stabilities determined by experiment. We used umbrella sampling and a reaction coordinate of end-to-end (5' to 3' hydroxyl oxygen) distance to estimate the free energy change of the transition from the native conformation to a fully extended conformation with no hydrogen bonds between non-neighboring bases. Each simulation was performed four times using the AMBER FF99+bsc0+χ_OL3 force field, and each window, spaced at 1 Å intervals, was sampled for 1 μs, for a total of 552 μs of simulation. We compared differences in the simulated free energy changes to analogous differences in free energies from optical melting experiments using thermodynamic cycles where the free energy change between stretched and random coil sequences is assumed to be sequence-independent. The differences between experimental and simulated ΔΔ G° are, on average, 0.98 ± 0.66 kcal/mol, which is chemically accurate and suggests that analogous simulations could be used predictively. We also report a novel method to identify where replica free energies diverge along a reaction coordinate, thus indicating where additional sampling would most improve convergence. We conclude by discussing methods to more economically perform these simulations.

A Simple Colorimetric System for Detecting Target Antigens by a Three-Stage Signal Transformation-Amplification Strategy

Inexpensive, straightforward, and rapid medical diagnostics are becoming increasingly important for disease identification in time- and resource-limited settings. Previous attempts to link oligonucleotide-based aptamers and hammerhead ribozymes to form ligand-induced ribozymes have been successful in identifying a variety of small molecule and protein targets. Isothermal exponential amplification reactions (EXPAR) amplify minute amounts of nucleic acid templates without requiring special instrumentation. We introduce a colorimetric assay that we engineered using an aptamer, hammerhead ribozyme, EXPAR, and peroxidase activity in conjunction with a 3,3',5,5'-tetramethylbenzidine (TMB) substrate. This is a modular signal enhancer system that can be easily modified to detect virtually any chosen analyte target within 5-10 min with minimal technical requirements. Ligand-aptamer binding causes the ribozyme to change conformation and self-cleave. The cleaved ribozyme triggers exponential amplification of a reporter sequence during EXPAR. The amplification products fold into single-stranded DNA guanine quadruplexes that exhibit peroxidase-like activity and can oxidize a colorless TMB substrate into a colored reaction product for visual detection. As a proof of concept, we examined the bronchodilator theophylline versus its chemical analogue, caffeine. We demonstrate linear changes in absorption readout across a wide range of target concentrations (0.5-1000 μM) and the ability to visually detect theophylline at 0.5 μM with an approximately 35-fold increased specificity versus that of caffeine. This three-stage detection system is a versatile platform that has the potential to improve the rapid identification of target analytes.

Tuned Amperometric Detection of Reduced β-Nicotinamide Adenine Dinucleotide by Allosteric Modulation of the Reductase Component of the p-Hydroxyphenylacetate Hydroxylase Immobilized within a Redox Polymer

We report the fabrication of an amperometric NADH biosensor system that employs an allosterically modulated bacterial reductase in an adapted osmium(III)-complex-modified redox polymer film for analyte quantification. Chains of complexed Os(III) centers along matrix polymer strings make electrical connection between the immobilized redox protein and a graphite electrode disc, transducing enzymatic oxidation of NADH into a biosensor current. Sustainable anodic signaling required (1) a redox polymer with a formal potential that matched the redox switch of the embedded reductase and avoided interfering redox interactions and (2) formation of a cross-linked enzyme/polymer film for stable biocatalyst entrapment. The activity of the chosen reductase is enhanced upon binding of an effector, i.e. p-hydroxy-phenylacetic acid ( p-HPA), allowing the acceleration of the substrate conversion rate on the sensor surface by in situ addition or preincubation with p-HPA. Acceleration of NADH oxidation amplified the response of the biosensor, with a 1.5-fold increase in the sensitivity of analyte detection, compared to operation without the allosteric modulator. Repetitive quantitative testing of solutions of known NADH concentration verified the performance in terms of reliability and analyte recovery. We herewith established the use of allosteric enzyme modulation and redox polymer-based enzyme electrode wiring for substrate biosensing, a concept that may be applicable to other allosteric enzymes.

Non-Enzymatic Oligomerization of 3', 5' Cyclic AMP

Recent studies illustrate that short oligonucleotide sequences can be easily produced from nucleotide precursors in a template-free non-enzymatic way under dehydrating conditions, i.e. using essentially dry materials. Here we report that 3',5' cyclic AMP may also serve as a substrate of the reaction, which proceeds under moderate conditions yet with a lower efficiency than the previously reported oligomerization of 3',5' cyclic GMP. Optimally the oligomerization requires (i) a temperature of 80°C, (ii) a neutral to alkaline environment and (iii) a time on the order of weeks. Differences in the yield and required reaction conditions of the oligomerizations utilizing 3',5' cGMP and cAMP are discussed in terms of the crystal structures of the compounds. Polymerization of 3',5' cyclic nucleotides, whose paramount relevance in a prebiotic chemistry context has been widely accepted for decades, supports the possibility that the origin of extant genetic materials might have followed a direct uninterrupted path since its very beginning, starting from non-elaborately pre-activated monomer compounds and simple reactions.

An analysis of simple computational strategies to facilitate the design of functional molecular information processors

BACKGROUND

Biological macromolecules (DNA, RNA and proteins) are capable of processing physical or chemical inputs to generate outputs that parallel conventional Boolean logical operators. However, the design of functional modules that will enable these macromolecules to operate as synthetic molecular computing devices is challenging.

RESULTS

Using three simple heuristics, we designed RNA sensors that can mimic the function of a seven-segment display (SSD). Ten independent and orthogonal sensors representing the numerals 0 to 9 are designed and constructed. Each sensor has its own unique oligonucleotide binding site region that is activated uniquely by a specific input. Each operator was subjected to a stringent in silico filtering. Random sensors were selected and functionally validated via ribozyme self cleavage assays that were visualized via electrophoresis.

CONCLUSIONS

By utilising simple permutation and randomisation in the sequence design phase, we have developed functional RNA sensors thus demonstrating that even the simplest of computational methods can greatly aid the design phase for constructing functional molecular devices.

incaRNAfbinv: a web server for the fragment-based design of RNA sequences

In recent years, new methods for computational RNA design have been developed and applied to various problems in synthetic biology and nanotechnology. Lately, there is considerable interest in incorporating essential biological information when solving the inverse RNA folding problem. Correspondingly, RNAfbinv aims at including biologically meaningful constraints and is the only program to-date that performs a fragment-based design of RNA sequences. In doing so it allows the design of sequences that do not necessarily exactly fold into the target, as long as the overall coarse-grained tree graph shape is preserved. Augmented by the weighted sampling algorithm of incaRNAtion, our web server called incaRNAfbinv implements the method devised in RNAfbinv and offers an interactive environment for the inverse folding of RNA using a fragment-based design approach. It takes as input: a target RNA secondary structure; optional sequence and motif constraints; optional target minimum free energy, neutrality and GC content. In addition to the design of synthetic regulatory sequences, it can be used as a pre-processing step for the detection of novel natural occurring RNAs. The two complementary methodologies RNAfbinv and incaRNAtion are merged together and fully implemented in our web server incaRNAfbinv, available at http://www.cs.bgu.ac.il/incaRNAfbinv.

Simple identification of two causes of noise in an aptazyme system by monitoring cell-free transcription

Aptazymes are artificially synthesized ribozymes that catalyze reactions in response to ligand binding. Certain types of aptazymes can be utilized as RNA-based regulators of gene expression. These aptazymes contain a sequestered ribosome-binding site (rbs) and release the rbs through self-cleavage in response to ligand binding, inducing the expression of the downstream gene. One of the most important properties of aptazymes as gene expression regulators is their signal-to-noise ratio (S/N ratio), the ratio of target expression in the presence of ligand to that in the absence of ligand. One strategy to improve the S/N ratio is to decrease the noise (expression in the absence of ligand) due to leaky translation without rbs release or ligand-independent rbs release. In this chapter, we describe an easy method to identify the main cause of noise using a cell-free reconstituted transcription-translation system, an ideal platform for the quantitative understanding of biochemical reactions because researchers can strictly control the experimental conditions and the concentrations of all components. This knowledge would be useful for designing aptazymes with high S/N ratios.

Ribozymes that can be regulated by external stimuli

Ribozymes have been known for about 30 years, and nowadays are understood well enough to be turned into useful tools for a number of applications in vitro and in vivo. Allosteric ribozymes switch on and off their activity in response to a specific chemical (ligand) or physical (temperature, light) signal. The possibility of controlling ribozyme activity by external stimuli is of particular relevance for applications in different fields, such as environmental and medicinal diagnostics, molecular computing, control of gene expression and others. Herein, we review recent advances and describe selected examples of addressable ribozymes.

In-silico design of computational nucleic acids for molecular information processing

Within recent years nucleic acids have become a focus of interest for prototype implementations of molecular computing concepts. During the same period the importance of ribonucleic acids as components of the regulatory networks within living cells has increasingly been revealed. Molecular computers are attractive due to their ability to function within a biological system; an application area extraneous to the present information technology paradigm. The existence of natural information processing architectures (predominately exemplified by protein) demonstrates that computing based on physical substrates that are radically different from silicon is feasible. Two key principles underlie molecular level information processing in organisms: conformational dynamics of macromolecules and self-assembly of macromolecules. Nucleic acids support both principles, and moreover computational design of these molecules is practicable. This study demonstrates the simplicity with which one can construct a set of nucleic acid computing units using a new computational protocol. With the new protocol, diverse classes of nucleic acids imitating the complete set of boolean logical operators were constructed. These nucleic acid classes display favourable thermodynamic properties and are significantly similar to the approximation of successful candidates implemented in the laboratory. This new protocol would enable the construction of a network of interconnecting nucleic acids (as a circuit) for molecular information processing.

Kinetic analysis of aptazyme-regulated gene expression in a cell-free translation system: modeling of ligand-dependent and -independent expression

Aptazymes are useful as RNA-based switches of gene expression responsive to several types of compounds. One of the most important properties of the switching ability is the signal/noise (S/N) ratio, i.e., the ratio of gene expression in the presence of ligand to that in the absence of ligand. The present study was performed to gain a quantitative understanding of how the aptazyme S/N ratio is determined by factors involved in gene expression, such as transcription, RNA self-cleavage, RNA degradation, protein translation, and their ligand dependencies. We performed switching of gene expression using two on-switch aptazymes with different properties in a cell-free translation system, and constructed a kinetic model that quantitatively describes the dynamics of RNA and protein species involved in switching. Both theoretical and experimental analyses consistently demonstrated that factors determining both the absolute value and the dynamics of the S/N ratio are highly dependent on the routes of translation in the absence of ligand: translation from the ligand-independently cleaved RNA or leaky translation from the noncleaved RNA. The model obtained here is useful to assess the factors that restrict the S/N ratio and to improve aptazymes more efficiently.

Rational design of modular allosteric aptamer sensor for label-free protein detection

An aptamer can be redesigned to new functional molecules by conjugating with other oligonucleotides. However, it requires experimental trials to optimize the conjugating module with the sensitivity and selectivity toward a target. To reduce these efforts, we report rationally-designed modular allosteric aptamer sensor (MAAS), which is composed of coupled two aptamers and the regulator. For label-free protein detection, the protein-aptamer was conjugated with the malachite green (MG) aptamer for signaling. The MAAS additionally has the regulator domain which is designed to hybridize to a protein binding domain. The regulator makes MAAS to be inactive by destructing the original structure of the two aptamers. However, its conformation becomes active by dissociating the hybridization from the protein recognition signal, thereby inducing the binding of MG emitting the enhanced fluorescence. The design of regulator is based on the thermodynamic energy difference by the RNA conformational change and protein-aptamer affinity. Here we first demonstrated the MAAS for hepatitis C helicase and replicase. The target proteins were detected up to 250nM with minimized blank signals and displayed high specificities 10-fold greater than in non-specific proteins. The MAAS provides valuable tools that can be adapted to a wide range of configurations in bioanalytical applications.

Aptamers as a sensitive tool to detect subtle modifications in therapeutic proteins

Therapeutic proteins are derived from complex expression/production systems, which can result in minor conformational changes due to preferential codon usage in different organisms, post-translational modifications, etc. Subtle conformational differences are often undetectable by bioanalytical methods but can sometimes profoundly impact the safety, efficacy and stability of products. Numerous bioanalytical methods exist to characterize the primary structure of proteins, post translational modifications; protein-substrate/protein/protein interactions and functional bioassays are available for most proteins that are developed as products. There are however few analytical techniques to detect changes in the tertiary structure of proteins suitable for use during drug development and quality control. For example, x-ray crystallography and NMR are impractical for routine use and do not capture the heterogeneity of the product. Conformation-sensitive antibodies can be used to map proteins. However the development of antibodies to represent sufficient epitopes can be challenging. Other limitations of antibodies include limited supply, high costs, heterogeneity and batch to batch variations in titer. Here we provide proof-of-principle that DNA aptamers to thrombin can be used as surrogate antibodies to characterize conformational changes. We show that aptamers can be used in assays using either an ELISA or a label-free platform to characterize different thrombin products. In addition we replicated a heat-treatment procedure that has previously been shown to not affect protein activity but can result in conformational changes that have serious adverse consequences. We demonstrate that a panel of aptamers (but not an antibody) can detect changes in the proteins even when specific activity is unaffected. Our results indicate a novel approach to monitor even small changes in the conformation of proteins which can be used in a routine drug-development and quality control setting. The technique can provide an early warning of structural changes during the manufacturing process that could have consequential outcomes downstream.

Prospects for riboswitch discovery and analysis

An expanding number of metabolite-binding riboswitch classes are being discovered in the noncoding portions of bacterial genomes. Findings over the last decade indicate that bacteria commonly use these RNA genetic elements as regulators of metabolic pathways and as mediators of changes in cell physiology. Some riboswitches are surprisingly complex, and they rival protein factors in their structural and functional sophistication. Each new riboswitch discovery expands our knowledge of the biochemical capabilities of RNA, and some give rise to new questions that require additional study to be addressed. Some of the greatest prospects for riboswitch research and some of the more interesting mysteries are discussed in this review.

Catalytic effects of Murchison material: prebiotic synthesis and degradation of RNA precursors

Mineral components of the Murchison meteorite were investigated in terms of potential catalytic effects on synthetic and hydrolytic reactions related to ribonucleic acid. We found that the mineral surfaces catalyzed condensation reactions of formamide to form carboxylic acids, amino acids, nucleobases and sugar precursors. These results suggest that formamide condensation reactions in the parent bodies of carbonaceous meteorites could give rise to multiple organic compounds thought to be required for the emergence of life. Previous studies have demonstrated similar catalytic effects for mineral assemblies likely to have been present in the early Earth environment. The minerals had little or no effect in promoting hydrolysis of RNA (24mer of polyadenylic acid) at 80°C over a pH range from 4.2 to 9.3. RNA was most stable in the neutral pH range, with a half-life ~5 h, but at higher and lower pH ranges the half-life decreased to ~1 h. These results suggest that if RNA was somehow incorporated into a primitive form of RNA-based thermophilic life, either it must be protected from random hydrolytic events, or the rate of synthesis must exceed the rate of hydrolysis.

Aptamers for allosteric regulation

Aptamers are useful for allosteric regulation because they are nucleic acid-based structures in which ligand binding induces conformational changes that may alter the function of a connected oligonucleotide at a distant site. Through this approach, a specific input is efficiently converted into an altered output. This property makes these biomolecules ideally suited to function as sensors or switches in biochemical assays or inside living cells. The ability to select oligonucleotide-based recognition elements in vitro in combination with the availability of nucleic acids with enzymatic activity has led to the development of a wide range of engineered allosteric aptasensors and aptazymes. Here, we discuss recent progress in the screening, design and diversity of these conformational switching oligonucleotides. We cover their application in vitro and for regulating gene expression in both prokaryotes and eukaryotes.

Selection of tetracycline inducible self-cleaving ribozymes as synthetic devices for gene regulation in yeast

Synthetic regulatory devices are key components for the development of complex biological systems and the reprogramming of cellular functions and networks. Here we describe the selection of tetracycline inducible hammerhead ribozymes. A tetracycline aptamer was fused to the full-length hammerhead ribozyme via a variable linker region. 11 rounds of in vitro selection were applied to isolate linker sequences that mediate tetracycline dependent hammerhead cleavage. We identified allosteric ribozymes that cleave in the presence of 1 μM tetracycline as fast as the full-length ribozyme whereas cleavage is inhibited up to 333-fold in the absence of tetracycline. Reporter gene assays indicate that the allosteric ribozymes can be employed to control gene expression in yeast.

Computational approaches toward the design of pools for the in vitro selection of complex aptamers

It is well known that using random RNA/DNA sequences for SELEX experiments will generally yield low-complexity structures. Early experimental results suggest that having a structurally diverse library, which, for instance, includes high-order junctions, may prove useful in finding new functional motifs. Here, we develop two computational methods to generate sequences that exhibit higher structural complexity and can be used to increase the overall structural diversity of initial pools for in vitro selection experiments. Random Filtering selectively increases the number of five-way junctions in RNA/DNA pools, and Genetic Filtering designs RNA/DNA pools to a specified structure distribution, whether uniform or otherwise. We show that using our computationally designed DNA pool greatly improves access to highly complex sequence structures for SELEX experiments (without losing our ability to select for common one-way and two-way junction sequences).

Aptazyme-mediated regulation of 16S ribosomal RNA

Developing artificial genetic switches in order to control gene expression via an external stimulus is an important aim in chemical and synthetic biology. Here, we expand the application range of RNA switches to the regulation of 16S rRNA function in Escherichia coli. For this purpose, we incorporated hammerhead ribozymes at several positions into orthogonalized 16S rRNA. We observed that ribosomal function is remarkably tolerant toward the incorporation of large additional RNA fragments at certain sites of the 16S rRNA. However, ribozyme-mediated cleavage results in severe reduction of 16S rRNA stability. We carried out an in vivo screen for the identification of sequences acting as ligand-responsive RNA switches, enabling thiamine-dependent switching of 16S rRNA function. In addition to expanding the regulatory toolbox, the presented artificial riboswitches should prove valuable to study aspects of rRNA folding and stability in bacteria.

Computational generation and screening of RNA motifs in large nucleotide sequence pools

Although identification of active motifs in large random sequence pools is central to RNA in vitro selection, no systematic computational equivalent of this process has yet been developed. We develop a computational approach that combines target pool generation, motif scanning and motif screening using secondary structure analysis for applications to 10(12)-10(14)-sequence pools; large pool sizes are made possible using program redesign and supercomputing resources. We use the new protocol to search for aptamer and ribozyme motifs in pools up to experimental pool size (10(14) sequences). We show that motif scanning, structure matching and flanking sequence analysis, respectively, reduce the initial sequence pool by 6-8, 1-2 and 1 orders of magnitude, consistent with the rare occurrence of active motifs in random pools. The final yields match the theoretical yields from probability theory for simple motifs and overestimate experimental yields, which constitute lower bounds, for aptamers because screening analyses beyond secondary structure information are not considered systematically. We also show that designed pools using our nucleotide transition probability matrices can produce higher yields for RNA ligase motifs than random pools. Our methods for generating, analyzing and designing large pools can help improve RNA design via simulation of aspects of in vitro selection.

Molecular complexity favors the evolution of ribopolymers

We have explored the stability of selected ribo oligomers in water and have determined the physical-chemical conditions in which the key 3'-phosphoester bond is more stable when embedded in the polymer than when present in the monomer. In these conditions, the spontaneous formation and the survival of ribo polymers are potentially favored. A narrow pH range was identified in which complex sequences resist degradation markedly more than monotonous ones, thus potentially favoring the evolution of sequence-based genetic information. Given that the founding property of a polymer is to maintain its polymeric form and its sequence information, these findings support the view that the evolution of pregenetic molecular information occurred based on intrinsic properties of nucleic polymers.

Aptamer displacement identifies alternative small-molecule target sites that escape viral resistance

Aptamers targeting reverse transcriptase (RT) from HIV-1 inhibit viral replication in vitro, presumably by competing with binding of the primer/template complex. This site is not targeted by the currently available small-molecule anti-HIV-1 RT inhibitors. We have identified SY-3E4, a small-molecule inhibitor of HIV-1 RT, by applying a screening assay that utilizes a reporter-ribozyme regulated by the anti-HIV-1 RT aptamer. SY-3E4 displaces the aptamer from the protein, selectively inhibits DNA-dependent, but not RNA-dependent, polymerase activity, and inhibits the replication of both the wild-type virus and a multidrug-resistant strain. Analysis of available structural data of HIV-1 and HIV-2 RTs rationalizes many of the observed characteristics of the inhibitory profiles of SY-3E4 and the aptamer and suggests a previously not considered region in these RTs as a target for antiviral therapy. Our study reveals unexplored ways for rapidly identifying alternative small-molecule target sites in proteins and illustrates strategies for overcoming resistance-conferring mutations with small molecules.

Surface immobilization of catalytic beacons based on ratiometric fluorescent DNAzyme sensors: a systematic study

DNAzyme-based catalytic beacons have the potential for sensing a large number of relevant analytes. Thus, a systematic investigation of factors affecting their performance when immobilized into gold-coated nanocapillary array membranes (NCAMs) was undertaken. Enzyme immobilization times were varied to determine that as little as 15 min was sufficient for ratiometric detection of Pb2+-specific activity, while immobilization density saturated after 1.5 h. Immobilization of the DNAzymes into NCAMs with 600 nm pore size resulted in higher immobilization efficiency and higher enzymatic activity than that with 200 nm pore size. A poly-T linker length between the tethering thiol and first oligonucleotide, used to extend the DNAzyme above the backfilling mercaptohexanol (MCH) monolayer, had no effect on DNAzyme activity. The backfilling method of immobilization, involving backfilling followed by hybridization, was found most effective for DNAzyme activity compared to immobilization of hybridized DNAzyme complex (a 67% loss of activity) or concurrent enzyme and MCH immobilization (75% loss of activity). The backfilling MCH monolayer provided approximately 3.5 times increase in activity compared to DNAzyme assembled without MCH, and was over 5 times more active than shorter and longer backfilling molecules tested. The immobilized DNAzyme retained its optimized performance at 50 mM NaCl. Finally, the generalized immobilization and ratiometric procedure was employed for a uranyl-specific DNAzyme with 25 +/- 15 times increase in ratio observed. These findings form a firm basis on which practical applications of catalytic beacons can be realized, including sensors for both Pb2+ and UO22+ ions.

In silico design of small RNA switches

The discovery of natural RNA sensors that respond to a change in the environment by a conformational switch can be utilized for various biotechnological and nanobiotechnological advances. One class of RNA sensors is the riboswitch: an RNA genetic control element that is capable of sensing small molecules, responding to a deviation in ligand concentration with a structural change. Riboswitches are modularly built from smaller components. Computational methods can potentially be utilized in assembling these building block components and offering improvements in the biochemical design process. We describe a computational procedure to design RNA switches from building blocks with favorable properties. To achieve maximal throughput for genetic control purposes, future designer RNA switches can be assembled based on a computerized preprocessing buildup of the constituent domains, namely the aptamer and the expression platform in the case of a synthetic riboswitch. Conformational switching is enabled by the RNA versatility to possess two highly stable states that are energetically close to each other but topologically distinct, separated by an energy barrier between them. Initially, computer simulations can produce a list of short sequences that switch between two conformers when trigerred by point mutations or temperature. The short sequences should possess an additional desirable property; when these selected small RNA switch segments are attached to various aptamers, the ligand binding mechanism should replace the aforementioned event triggers, which will no longer be effective for crossing the energy barrier. In the assembled RNA sequence, energy minimization folding predictions should then show no difference between the folded structure of the entire sequence relative to the folded structure of each of its constituents. Moreover, energy minimization methods applied on the entire sequence could aid at this preprocessing stage by exhibiting high mutational robustness to capture the stability of the formed hairpin in the expression platform. The above computer-assisted assembly procedure together with application specific considerations may further be tailored for therapeutic gene regulation. Index Terms-Design of RNA switches, energy minimization methods, RNA folding predictions.

A computational proposal for designing structured RNA pools for in vitro selection of RNAs

Although in vitro selection technology is a versatile experimental tool for discovering novel synthetic RNA molecules, finding complex RNA molecules is difficult because most RNAs identified from random sequence pools are simple motifs, consistent with recent computational analysis of such sequence pools. Thus, enriching in vitro selection pools with complex structures could increase the probability of discovering novel RNAs. Here we develop an approach for engineering sequence pools that links RNA sequence space regions with corresponding structural distributions via a "mixing matrix" approach combined with a graph theory analysis. We define five classes of mixing matrices motivated by covariance mutations in RNA; these constructs define nucleotide transition rates and are applied to chosen starting sequences to yield specific nonrandom pools. We examine the coverage of sequence space as a function of the mixing matrix and starting sequence via clustering analysis. We show that, in contrast to random sequences, which are associated only with a local region of sequence space, our designed pools, including a structured pool for GTP aptamers, can target specific motifs. It follows that experimental synthesis of designed pools can benefit from using optimized starting sequences, mixing matrices, and pool fractions associated with each of our constructed pools as a guide. Automation of our approach could provide practical tools for pool design applications for in vitro selection of RNAs and related problems.

CHARMM force field parameters for simulation of reactive intermediates in native and thio-substituted ribozymes

Force field parameters specifically optimized for residues important in the study of RNA catalysis are derived from density-functional calculations, in a fashion consistent with the CHARMM27 all-atom empirical force field. Parameters are presented for residues that model reactive RNA intermediates and transition state analogs, thio-substituted phosphates and phosphoranes, and bound Mg(2+) and di-metal bridge complexes. Target data was generated via density-functional calculations at the B3LYP/6-311++G(3df,2p)// B3LYP/6-31++G(d,p) level. Partial atomic charges were initially derived from CHelpG electrostatic potential fitting and subsequently adjusted to be consistent with the CHARMM27 charges. Lennard-Jones parameters were determined to reproduce interaction energies with water molecules. Bond, angle, and torsion parameters were derived from the density-functional calculations and renormalized to maintain compatibility with the existing CHARMM27 parameters for standard residues. The extension of the CHARMM27 force field parameters for the nonstandard biological residues presented here will have considerable use in simulations of ribozymes, including the study of freeze-trapped catalytic intermediates, metal ion binding and occupation, and thio effects.

Shape similarity measures for the design of small RNA switches

Conformational switching in the secondary structure of RNAs has recently attracted considerable attention, fostered by the discovery of 'riboswitches' in living organisms. These are genetic control elements that were found in bacteria and offer a unique regulation mechanism based on switching between two highly stable states, separated by an energy barrier between them. In riboswitches, the energy barrier is crossed by direct metabolite binding, which facilitates regulation by allosteric means. However, other event triggers can cause switching to occur, such as single-point mutations and slight variations in temperature. Examples of switches with these event triggers have already been reported experimentally in the past. Here, the goal is to computationally design small RNA switches that rely on these triggers. Towards this end, our computer simulations utilize a variety of different similarity measures to assess the distances between an initial state and triggered states, based on the topology of the secondary structure itself. We describe these combined similarity measures that rely on both coarse-grained and fine-grained graph representations of the RNA secondary structure. As a result of our simulations, we provide some candidate sequences of approximately 30-50 nt, along with the exact triggers that drive the switching. The event triggers under consideration can be modelled by Zuker's mfold or the Vienna package. The proposed methodology that rely on shape measures can further be used to computationally generate more candidates by simulating various event triggers and calculating their effect on the shape.

Functional DNA nanotechnology: emerging applications of DNAzymes and aptamers

In the past 25 years, DNA molecules have been utilized both as powerful synthetic building blocks to create nanoscale architectures and as versatile programmable templates for assembly of nanomaterials. In parallel, the functions of DNA molecules have been expanded from pure genetic information storage to catalytic functions like those of protein enzymes (DNAzymes) and specific binding functions like antibodies (aptamers). In the past few years, a new interdisciplinary field has emerged that aims to combine functional DNA biology with nanotechnology to generate more dynamic and controllable DNA-based nanostructures or DNA-templated nanomaterials that are responsive to chemical stimuli.