Design and Thermodynamics Principles to Program the Cooperativity of Molecular Assemblies.

Most functional nanosystems in living organisms are constructed using multimeric assemblies that provide multiple advantages over their monomeric counterparts such as cooperative or anti-cooperative responses, integration of multiple signals and self-regulation. Inspired by these natural nanosystems, chemists have been synthesizing self-assembled supramolecular systems over the last 50 years with increasing complexity with applications ranging from biosensing, drug delivery, synthetic biology, and system chemistry. Although many advances have been made concerning the design principles of novel molecular architectures and chemistries, little is still known, however, about how to program their dynamic of assembly so that they can assemble at the required concentration and with the right sensitivity. Here, we used synthetic DNA assemblies and double-mutant cycle analysis to explore the thermodynamic basis to program the cooperativity of molecular assemblies. The results presented here exemplify how programmable molecular assemblies can be efficiently built by fusing interacting domains and optimizing their compaction. They may also provide the rational basis for understanding the thermodynamic and mechanistic principles driving the evolution of multimeric biological complexes.

Programing Chemical Communication: Allostery vs Multivalent Mechanism.

The emergence of life has relied on chemical communication and the ability to integrate multiple chemical inputs into a specific output. Two mechanisms are typically employed by nature to do so: allostery and multivalent activation. Although a better understanding of allostery has recently provided a variety of strategies to optimize the binding affinity, sensitivity, and specificity of molecular switches, mechanisms relying on multivalent activation remain poorly understood. As a proof of concept to compare the thermodynamic basis and design principles of both mechanisms, we have engineered a highly programmable DNA-based switch that can be triggered by either a multivalent or an allosteric DNA activator. By precisely designing the binding interface of the multivalent activator, we show that the affinity, dynamic range, and activated half-life of the molecular switch can be programed with even more versatility than when using an allosteric activator. The simplicity by which the activation properties of molecular switches can be rationally tuned using multivalent assembly suggests that it may find many applications in biosensing, drug delivery, synthetic biology, and molecular computation fields, where precise control over the transduction of binding events into a specific output is key.

Bimodal brush-functionalized nanoparticles selective to receptor surface density.

Nanoparticles or drug carriers which can selectively bind to cells expressing receptors above a certain threshold surface density are very promising for targeting cells overexpressing specific receptors under pathological conditions. Simulations and theoretical studies have suggested that such selectivity can be enhanced by functionalizing nanoparticles with a bimodal polymer monolayer (BM) containing shorter ligated chains and longer inert protective chains. However, a systematic study of the effect of these parameters under tightly controlled conditions is still missing. Here, we develop well-defined and highly specific platforms mimicking particle-cell interface using surface chemistry to provide a experimental proof of such selectivity. Using surface plasmon resonance and atomic force microscopy, we report the selective adsorption of BM-functionalized nanoparticles, and especially, a significant enhanced selective behavior by using a BM with longer protective chains. Furthermore, a model is also developed to describe the repulsive contribution of the protective brush to nanoparticle adsorption. This model is combined with super-selectivity theory to support experimental findings and shows that the observed selectivity is due to the steric energy barrier which requires a high number of ligand-receptor bonds to allow nanoparticle adsorption. Finally, the results show how the relative length and molar ratio of two chains can be tuned to target a threshold surface density of receptors and thus lay the foundation for the rational design of BM-functionalized nanoparticles for selective targeting.

Programmable self-regulated molecular buffers for precise sustained drug delivery.

Unlike artificial nanosystems, biological systems are ideally engineered to respond to their environment. As such, natural molecular buffers ensure precise and quantitative delivery of specific molecules through self-regulated mechanisms based on Le Chatelier's principle. Here, we apply this principle to design self-regulated nucleic acid molecular buffers for the chemotherapeutic drug doxorubicin and the antimalarial agent quinine. We show that these aptamer-based buffers can be programmed to maintain any specific desired concentration of free drug both in vitro and in vivo and enable the optimization of the chemical stability, partition coefficient, pharmacokinetics and biodistribution of the drug. These programmable buffers can be built from any polymer and should improve patient therapeutic outcome by enhancing drug activity and minimizing adverse effects and dosage frequency.

Monitoring protein conformational changes using fluorescent nanoantennas.

Understanding the relationship between protein structural dynamics and function is crucial for both basic research and biotechnology. However, methods for studying the fast dynamics of structural changes are limited. Here, we introduce fluorescent nanoantennas as a spectroscopic technique to sense and report protein conformational changes through noncovalent dye-protein interactions. Using experiments and molecular simulations, we detect and characterize five distinct conformational states of intestinal alkaline phosphatase, including the transient enzyme-substrate complex. We also explored the universality of the nanoantenna strategy with another model protein, Protein G and its interaction with antibodies, and demonstrated a rapid screening strategy to identify efficient nanoantennas. These versatile nanoantennas can be used with diverse dyes to monitor small and large conformational changes, suggesting that they could be used to characterize diverse protein movements or in high-throughput screening applications.

Silver oxide model surface improves computational simulation of surface-enhanced Raman spectroscopy on silver nanoparticles.

Surface-enhanced Raman spectroscopy (SERS) coupled with density functional theory (DFT) computations can characterise the adsorption orientation of a molecule on a nanoparticle surface. When using DFT to simulate SERS on a silver surface, one typically employs an atom (Ag), ion (Ag+), or cluster (Agx or Agx+) as the model surface. Here, by examining the nucleobase 2,6-diaminopurine (2,6-DAP) and then generalising our strategy to three other molecules, we show that employing silver oxide (Ag2O) as the model surface can quantitatively improve the accuracy of simulated SERS.

Optimizing the Specificity Window of Biomolecular Receptors Using Structure-Switching and Allostery.

To ensure maximum specificity (i.e., minimize cross-reactivity with structurally similar analogues of the desired target), most bioassays invoke "stringency", the careful tuning of the conditions employed (e.g., pH, ionic strength, or temperature). Willingness to control assay conditions will fall, however, as quantitative, single-step biosensors begin to replace multistep analytical processes. This is especially true for sensors deployed in vivo, where the tuning of such parameters is not just inconvenient but impossible. In response, we describe here the rational adaptation of two strategies employed by nature to tune the affinity of biomolecular receptors so as to optimize the placement of their specificity "windows" without the need to alter measurement conditions: structure-switching and allosteric control. We quantitatively validate these approaches using two distinct, DNA-based receptors: a simple, linear-chain DNA suitable for detecting a complementary DNA strand and a structurally complex DNA aptamer used for the detection of a small-molecule drug. Using these models, we show that, without altering assay conditions, structure-switching and allostery can tune the concentration range over which a receptor achieves optimal specificity over orders of magnitude, thus optimally matching the specificity window with the range of target concentrations expected to be seen in a given application.

Peptide-Mediated Electrochemical Steric Hindrance Assay for One-Step Detection of HIV Antibodies.

Diagnosis of infectious disease in patients, including human immunodeficiency virus (HIV) infection, can be achieved through the detection of specific antibodies produced by the immune system. We have previously shown that macromolecules such as antibodies can be efficiently detected in complex biological samples by sterically inhibiting the hybridization of conjugated complementary DNA strands to electrode-bound DNA strands. Here, we report a peptide-mediated electrochemical steric hindrance hybridization assay, PeSHHA, specially for the detection of antibodies against the gp41 protein of HIV-1. We show that the sensitivity of this PeSHHA can be significantly enhanced using nanostructured electrodes and demonstrate the rapid, one-step detection of HIV-1 antibodies directly in clinical samples.

Programmable DNA switches and their applications.

DNA switches are ideally suited for numerous nanotechnological applications, and increasing efforts are being directed toward their engineering. In this review, we discuss how to engineer these switches starting from the selection of a specific DNA-based recognition element, to its adaptation and optimisation into a switch, with applications ranging from sensing to drug delivery, smart materials, molecular transporters, logic gates and others. We provide many examples showcasing their high programmability and recent advances towards their real life applications. We conclude with a short perspective on this exciting emerging field.

Engineering Biosensors with Dual Programmable Dynamic Ranges.

Although extensively used in all fields of chemistry, molecular recognition still suffers from a significant limitation: host-guest binding displays a fixed, hyperbolic dose-response curve, which limits its usefulness in many applications. Here we take advantage of the high programmability of DNA chemistry and propose a universal strategy to engineer biorecognition-based sensors with dual programmable dynamic ranges. Using DNA aptamers as our model recognition element and electrochemistry as our readout signal, we first designed a dual signaling "signal-on" and "signal-off" adenosine triphosphate (ATP) sensor composed of a ferrocene-labeled ATP aptamer in complex to a complementary, electrode-bound, methylene-blue labeled DNA. Using this simple "dimeric" sensor, we show that we can easily (1) tune the dynamic range of this dual-signaling sensor through base mutations on the electrode-bound DNA, (2) extend the dynamic range of this sensor by 2 orders of magnitude by using a combination of electrode-bound strands with varying affinity for the aptamers, (3) create an ultrasensitive dual signaling sensor by employing a sequestration strategy in which a nonsignaling, high affinity "depletant" DNA aptamer is added to the sensor surface, and (4) engineer a sensor that simultaneously provides extended and ultrasensitive readouts. These strategies, applicable to a wide range of biosensors and chemical systems, should broaden the application of molecular recognition in various fields of chemistry.

Biomolecular Steric Hindrance Effects Are Enhanced on Nanostructured Microelectrodes.

The availability of rapid approaches for quantitative detection of biomarkers would drastically impact global health by enabling decentralized disease diagnosis anywhere that patient care is administered. A promising new approach, the electrochemical steric hindrance hybridization assay (eSHHA) has been introduced for quantitative detection of large proteins (e.g., antibodies) with a low nanomolar detection limit within 10 min. Here, we report the use of a nanostructured microelectrode (NME) platform for eSHHA that improves the performance of this approach by increasing the efficiency and kinetics of DNA hybridization. We demonstrated that eSHHA on nanostructured microelectrodes leverages three effects: (1) steric hindrance effects at the nanoscale, (2) a size-dependent hybridization rate of DNA complexes, and (3) electrode morphology-dependent blocking effects. As a proof of concept, we showed that the sensitivity of eSHHA toward a model antibody is enhanced using NMEs as scaffolds for this reaction. We improved the detection limit of eSHHA, taking advantage of nanostructured surfaces to allow the use of longer capture strands for detection of proteins. Finally, we concluded that using the eSHHA approach in conjunction with nanostructured microelectrodes is an advantageous alternative to conventional macroelectrodes as the sensitivity and detection limits are enhanced.

Electrochemical DNA-Based Immunoassay That Employs Steric Hindrance To Detect Small Molecules Directly in Whole Blood.

The development of a universal sensing mechanism for the rapid and quantitative detection of small molecules directly in whole blood would drastically impact global health by enabling disease diagnostics, monitoring, and treatment at home. We have previously shown that hybridization between a free DNA strand and its complementary surface-bound strand can be sterically hindered when the former is bound to large antibodies. Here, we exploit this effect to design a competitive antibody-based electrochemical assay, called CeSHHA, that enables the quantitative detection of small molecules directly in complex matrices, such as whole blood or soil. We discuss the importance of this inexpensive assay for point-of-care diagnosis and for treatment monitoring applications.

Steric Hindrance Assay for Secreted Factors in Stem Cell Culture.

The ex vivo expansion of hematopoietic stem cells is significantly inhibited by secreted proteins that induce negative feedback loops. The ability to effectively monitor these factors is critical for their real-time regulation and control and, by extension, enhancing stem cell expansion. Here, we describe a novel monitoring strategy for the detection of soluble signaling factors in stem cell cultures using a DNA-based sensing mechanism on a chip-based nanostructured microelectrode platform. We combine DNA hybridization engineering with antibody-capturing chemistry in an amplified steric hindrance hybridization assay. This method enables the quantification of important secreted proteins, showcased by the detection of 10 pg·mL-1 level concentrations of three proteins in stem cell culture samples. This approach is the first universal nonsandwich technique that permits pg·mL-1 level quantification of small proteins in stem cell culture media without signal loss.

Determining the folding and binding free energy of DNA-based nanodevices and nanoswitches using urea titration curves.

DNA nanotechnology takes advantage of the predictability of DNA interactions to build complex DNA-based functional nanoscale structures. However, when DNA functional and responsive units that are based on non-canonical DNA interactions are employed it becomes quite challenging to predict, understand and control their thermodynamics. In response to this limitation, here we demonstrate the use of isothermal urea titration experiments to estimate the free energy involved in a set of DNA-based systems ranging from unimolecular DNA-based nanoswitches to more complex DNA folds (e.g. aptamers) and nanodevices. We propose here a set of fitting equations that allow to analyze the urea titration curves of these DNA responsive units based on Watson-Crick and non-canonical interactions (stem-loop, G-quadruplex, triplex structures) and to correctly estimate their relative folding and binding free energy values under different experimental conditions. The results described herein will pave the way toward the use of urea titration experiments in the field of DNA nanotechnology to achieve easier and more reliable thermodynamic characterization of DNA-based functional responsive units. More generally, our results will be of general utility to characterize other complex supramolecular systems based on different biopolymers.

Antibody-powered nucleic acid release using a DNA-based nanomachine.

A wide range of molecular devices with nanoscale dimensions have been recently designed to perform a variety of functions in response to specific molecular inputs. Only limited examples, however, utilize antibodies as regulatory inputs. In response to this, here we report the rational design of a modular DNA-based nanomachine that can reversibly load and release a molecular cargo on binding to a specific antibody. We show here that, by using three different antigens (including one relevant to HIV), it is possible to design different DNA nanomachines regulated by their targeting antibody in a rapid, versatile and highly specific manner. The antibody-powered DNA nanomachines we have developed here may thus be useful in applications like controlled drug-release, point-of-care diagnostics and in vivo imaging.

A DNA Nanodevice That Loads and Releases a Cargo with Hemoglobin-Like Allosteric Control and Cooperativity.

Here we report the rational design of a synthetic molecular nanodevice that is directly inspired from hemoglobin, a highly evolved protein whose oxygen-carrying activity is finely regulated by a sophisticated network of control mechanisms. Inspired by the impressive performance of hemoglobin we have designed and engineered in vitro a synthetic DNA-based nanodevice containing up to four interacting binding sites that, like hemoglobin, can load and release a cargo over narrow concentration ranges, and whose affinity can be finely controlled via both allosteric effectors and environmental cues like pH and temperature. As the first example of a synthetic DNA nanodevice that undergoes a complex network of nature-inspired control mechanisms, this represents an important step toward the use of similar nanodevices for diagnostic and drug-delivery applications.

Aptamer-based liposomes improve specific drug loading and release.

Aptamer technology has shown much promise in cancer therapeutics for its targeting abilities. However, its potential to improve drug loading and release from nanocarriers has not been thoroughly explored. In this study, we employed drug-binding aptamers to actively load drugs into liposomes. We designed a series of DNA aptamer sequences specific to doxorubicin, displaying multiple binding sites and various binding affinities. The binding ability of aptamers was preserved when incorporated into cationic liposomes, binding up to 15equivalents of doxorubicin per aptamer, therefore drawing the drug into liposomes. Optimization of the charge and drug/aptamer ratios resulted in ≥80% encapsulation efficiency of doxorubicin, ten times higher than classical passively-encapsulating liposomal formulations and similar to a pH-gradient active loading strategy. In addition, kinetic release profiles and cytotoxicity assay on HeLa cells demonstrated that the release and therapeutic efficacy of liposomal doxorubicin could be controlled by the aptamer's structure. Our results suggest that the aptamer exhibiting a specific intermediate affinity is the best suited to achieve high drug loading while maintaining efficient drug release and therapeutic activity. This strategy was successfully applied to tobramycin, a hydrophilic drug suffering from low encapsulation into liposomes, where its loading was improved six-fold using aptamers. Overall, we demonstrate that aptamers could act, in addition to their targeting properties, as multifunctional excipients for liposomal formulations.

Using Nature's "Tricks" To Rationally Tune the Binding Properties of Biomolecular Receptors.

The biosensor community has long focused on achieving the lowest possible detection limits, with specificity (the ability to differentiate between closely similar target molecules) and sensitivity (the ability to differentiate between closely similar target concentrations) largely being relegated to secondary considerations and solved by the inclusion of cumbersome washing and dilution steps or via careful control experimental conditions. Nature, in contrast, cannot afford the luxury of washing and dilution steps, nor can she arbitrarily change the conditions (temperature, pH, ionic strength) under which binding occurs in the homeostatically maintained environment within the cell. This forces evolution to focus at least as much effort on achieving optimal sensitivity and specificity as on achieving low detection limits, leading to the "invention" of a number of mechanisms, such as allostery and cooperativity, by which the useful dynamic range of receptors can be tuned, extended, narrowed, or otherwise optimized by design, rather than by sample manipulation. As the use of biomolecular receptors in artificial technologies matures (i.e., moves away from multistep, laboratory-bound processes and toward, for example, systems supporting continuous in vivo measurement) and these technologies begin to mimic the reagentless single-step convenience of naturally occurring chemoperception systems, the ability to artificially design receptors of enhanced sensitivity and specificity will likely also grow in importance. Thus motivated, we have begun to explore the adaptation of nature's solutions to these problems to the biomolecular receptors often employed in artificial biotechnologies. Using the population-shift mechanism, for example, we have generated nested sets of receptors and allosteric inhibitors that greatly expanded the normally limited (less than 100-fold) useful dynamic range of unmodified molecular and aptamer beacons, enabling the single-step (e.g., dilution-free) measurement of target concentrations across up to 6 orders of magnitude. Using this same approach to rationally introduce sequestration or cooperativity into these receptors, we have likewise narrowed their dynamic range to as little as 1.5-fold, vastly improving the sensitivity with which they respond to small changes in the concentration of their target ligands. Given the ease with which we have been able to introduce these mechanisms into a wide range of DNA-based receptors and the rapidity with which the field of biomolecular design is maturing, we are optimistic that the use of these and similar naturally occurring regulatory mechanisms will provide viable solutions to a range of increasingly important analytical problems.

Programmable Quantitative DNA Nanothermometers.

Developing molecules, switches, probes or nanomaterials that are able to respond to specific temperature changes should prove of utility for several applications in nanotechnology. Here, we describe bioinspired strategies to design DNA thermoswitches with programmable linear response ranges that can provide either a precise ultrasensitive response over a desired, small temperature interval (±0.05 °C) or an extended linear response over a wide temperature range (e.g., from 25 to 90 °C). Using structural modifications or inexpensive DNA stabilizers, we show that we can tune the transition midpoints of DNA thermometers from 30 to 85 °C. Using multimeric switch architectures, we are able to create ultrasensitive thermometers that display large quantitative fluorescence gains within small temperature variation (e.g., > 700% over 10 °C). Using a combination of thermoswitches of different stabilities or a mix of stabilizers of various strengths, we can create extended thermometers that respond linearly up to 50 °C in temperature range. Here, we demonstrate the reversibility, robustness, and efficiency of these programmable DNA thermometers by monitoring temperature change inside individual wells during polymerase chain reactions. We discuss the potential applications of these programmable DNA thermoswitches in various nanotechnology fields including cell imaging, nanofluidics, nanomedecine, nanoelectronics, nanomaterial, and synthetic biology.