Programming Chemical Reaction Networks Using Intramolecular Conformational Motions of DNA

Engineering Modular DNA Reaction Networks for Signal Processing

Diversified molecular information-processing methods have significant implications for nanoscale manipulation and control, monitoring and disease diagnosis of organisms, and direct intervention in biological activities. However, as an effective approach for implementing multifunctional molecular information processing, DNA reaction networks (DRNs) with numerous functionally specialized molecular structures have challenged them on scale design, leading to increased network complexity, further causing problems such as signal leakage, attenuation, and cross-talk in network reactions. Our study developed a strategy for performing various signal-processing tasks through engineering modular DRNs. This strategy is based on a universal core unit with signal selection capability, and a time-adjustable signal self-resetting module is achieved by combing the core unit and self-resetting unit, which improves the time controllability of modular DRNs. In addition, multi-input and -output signal cross-catalytic and continuously adjustable signal delay modules were realized by combining core and threshold units, providing a flexible, precise method for modular DRNs to process the signal. The strategy simplifies the design of DRNs, helps generate design ideas for large-scale integrated DRNs with multiple functions, and provides prospects in biocomputing, gene regulation, and biosensing.

DNAzyme-Based Dissipative DNA Strand Displacement for Constructing Temporal Logic Gates

Toehold-mediated DNA strand displacement is the foundation of dynamic DNA nanotechnology, encompassing a wide range of tools with diverse functions, dynamics, and thermodynamic properties. However, a majority of these tools are limited to unidirectional reactions driven by thermodynamics. In response to the growing field of dissipative DNA nanotechnology, we present an approach: DNAzyme-based dissipative DNA strand displacement (D-DSD), which combines the principles of dynamic DNA nanotechnology and dissipative DNA nanotechnology. D-DSD introduces circular and dissipative characteristics, distinguishing it from the unidirectional reactions observed in conventional strand displacement. We investigated the reaction mechanism of D-DSD and devised temporal control elements. By substituting temporal components, we designed two distinct temporal AND gates using fewer than 10 strands, eliminating the need for complex network designs. In contrast to previous temporal logic gates, our temporal storage is not through dynamics control or cross-inhibition but through autoregressive storage, a more modular and scalable approach to memory storage. D-DSD preserves the fundamental structure of toehold-mediated strand displacement, while offering enhanced simplicity and versatility.

A functional nucleic acid-based fluorescence sensing platform based on DNA supersandwich nanowires and cation exchange reaction

Accurate and sensitive analysis of p53 DNA is important for early diagnosis of cancer. In this work, a fluorescence sensing system based on DNA supersandwich nanowires and cation exchange (CX)-triggered multiplex signal amplification was constructed for the detection of p53 DNA. In the presence of p53 DNA, the DNA self-assembles to form a DNA supersandwich nanowire that generates long double-stranded DNA. Subsequently, the cation exchange (CX) reaction between ZnS and Ag+ was utilized to release free Zn2+. With the participation of Zn2+, DNAzyme catalyzes the hydrolysis of numerous catalytic molecular beacons, resulting in a greatly enhanced fluorescence signal due to the cycling of DNAzyme. The fluorescence values increased in proportion to the concentrations of p53 DNA in the range of 10 pM to 200 nM, and a detection limit (LOD) of 2.34 pM (S/N = 3) was obtained. This method provides an effective strategy for the quantitative detection of p53 DNA.

The Creation of DNA Origami-Based Supramolecular Nanostructures for Cancer Therapy

DNA origami technology, a unique type of DNA nanotechnology, has attracted much attention from researchers and is applied in various fields. Through exquisite design and precise self-assembly of four kinds of deoxyribonucleotides, DNA origami nanostructures are endowed with excellent programmability and addressability and show outstanding biocompatibility in bio-related applications, especially in cancer treatment. In this review, nanomaterials based on DNA origami for cancer therapy are concluded, whereby chemotherapy and photo-assisted therapy are the main focus. Furthermore, the working mechanisms of the functional materials attached to the rigid DNA structures to enable targeted delivery and circumvent drug resistance are also discussed. DNA origami nanostructures are valuable carriers for delivering multifunctional therapeutic agents and demonstrate great potential in cancer treatment both in vitro and in vivo. It is undoubted that DNA origami technology is a promising strategy for constructing versatile nanodevices in biological fields and will excel in human healthcare.

Leveraging Steric Moieties for Kinetic Control of DNA Strand Displacement Reactions

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

A survey on molecular-scale learning systems with relevance to DNA computing

DNA computing has emerged as a promising alternative to achieve programmable behaviors in chemistry by repurposing the nucleic acid molecules into chemical hardware upon which synthetic chemical programs can be executed. These chemical programs are capable of simulating diverse behaviors, including boolean logic computation, oscillations, and nanorobotics. Chemical environments such as the cell are marked by uncertainty and are prone to random fluctuations. For this reason, potential DNA-based molecular devices that aim to be deployed into such environments should be capable of adapting to the stochasticity inherent in them. In keeping with this goal, a new subfield has emerged within DNA computing, focusing on developing approaches that embed learning and inference into chemical reaction systems. If realized in biochemical contexts, such molecular machines can engender novel applications in fields such as biotechnology, synthetic biology, and medicine. Therefore, it would be beneficial to review how different ideas were conceived, how the progress has been so far, and what the emerging ideas are in this nascent field of 'molecular-scale learning'.

A portable colorimetric point-of-care testing platform for MicroRNA detection based on programmable entropy-driven dynamic DNA network modulated DNA-gold nanoparticle hybrid hydrogel film

Point-of-care testing (POCT) platforms for microRNA (miRNA) detection have attracted considerable attention in recent years, due to the increasingly important role of miRNA as biomarkers for the diagnosis of many diseases, such as cancers. However, several limitations such as the requirement of enzyme-related amplification system, expensive preservation cost, sophisticated analysis instruments and tedious operations of conventional miRNA biosensing devices severely hinder their widespread applications. In this work, a portable and smart colorimetric analysis platform was developed by employing the ultrathin DNA-gold nanoparticle (AuNP) hybrid hydrogel film as the signaling unit and the enzyme-free entropy-driven dynamic DNA network (EDN) as the signal converter and amplification unit. By programming the DNA sequences of the EDN, the EDN could respond to a specific miRNA, with miRNA-155 or miRNA-21 as the model target, and release a converter DNA with amplified concentration to further trigger the release of AuNPs from the hydrogel film as a colorimetric signal output. To avoid the use of sophisticated spectral instruments, digital analysis based on primary three-color channel (R/G/B) was further introduced by using user-friendly camera and image processing software, and a detection limit at pM level was achieved. Moreover, by introducing H₂O₂-mediated AuNPs enlargement procedure in the colorimetric analysis platform, the detection limit for miRNA target could further be enhanced to fM level. The POCT platform is also portable and storable with a good storage stability for at least 45 days, suggesting its great potential in practical diagnosis applications.

Catalyst-Accelerated Circular Cascaded DNA Circuits: Simpler Design, Faster Speed, Higher Gain

DNA cascaded circuits have great potential in detecting low abundance molecules in complex biological environment due to their powerful signal amplification capability and nonenzymatic feature. However, the problem of the cascaded circuits is that the design is relatively complex and the kinetics is slow. Herein, a new design paradigm called catalyst-accelerated circular cascaded circuits is proposed, where the catalyst inlet is implanted and the reaction speed can be adjusted by the catalyst concentration. This new design is very simple and only requires three hairpin probes. Meanwhile, the results of a series of studies demonstrate that the reaction speed can be accelerated and the sensitivity can be also improved. Moreover, endogenous mRNA can also be used as a catalyst to drive the circuits to amplify the detection of target miRNA in live cells and in mice. These catalyst-accelerated circular cascaded circuits can substantially expand the toolbox for intracellular low abundance molecular detection.

An allosteric DNA switch-mediated catalytic DNA circuit for ratiometric and sensitive nucleic acid detection

Herein, a new allosteric DNA switch-mediated catalytic DNA circuit reaction strategy has been proposed for ratiometric and sensitive nucleic acid detection. The sensing system was based on two DNA hybrid probes, each of which was constructed by annealing a reconfigurable DNA hairpin with single-stranded DNA. Upon target recognition by the first DNA hybrid probe, a reconfigurable DNA switch was liberated, triggering a toehold-mediated strand displacement reaction (TSDR) with the second DNA hybrid probe, which was accompanied by the release of another reconfigurable DNA switch. This released allosteric DNA switch could further interact with the first hybrid DNA probe via the TSDR strategy to form a reciprocal strand displacement network between the two DNA hybrid probes. Theoretically, this reciprocal strand displacement reaction would continue till the complete consumption of the reaction substrates. Thus, it provides a new signal amplification method leading toward target recognition. More interestingly, it creates a ratiometric signal response mode for target recognition, which involves the fluorescence increment of one fluorophore (Cy5) and concurrent decrement of another fluorophore (Cy3) accompanied by the target-triggered reciprocal strand displacement reaction. This process could achieve a low detection limit of about 0.1 pM toward the target nucleic acid and selective discrimination toward different mismatched targets. It could also be applied for detection in a serum sample. Thus, the developed catalytic DNA circuit reaction strategy together with ratiometric signal readout provides a new avenue for programmable, reliable and sensitive detection of nucleic acids and might also pave the way for developing more advanced DNA circuits or biosensors.

Bridge DNA guided assembly of nanoparticles to program chemical reaction networks

Bridge DNA is an essential structure for programming chemical reaction networks. In this work, a bridge DNA guided assembly of nanoparticles has been constructed to program one-step and multi-step reactions via toehold-mediated strand displacement reaction for higher structural complexity and dynamic regulation behaviors. The structures of the bridge DNA linker and the length of the toeholds have an essential effect on successful construction of a molecular machine and achievement of multi-step reactions. A six-base toehold is enough to achieve the toehold-mediated strand displacement reaction in bridge DNA. When the difference between toehold length-2 and toehold length-1 is equal to or larger than one, the multi-step reaction can be triggered and performed by the driving of bridge DNA. For application, both simultaneous detection of two target DNA strands as well as the construction of logic gates can be achieved by changing the four single-stranded tails on the bridge DNA. In principle, this approach of the bridge DNA guiding the assembly of AuNPs can implement any behavior that can be expressed mathematically.

Programmable allosteric DNA regulations for molecular networks and nanomachines

Structure-based molecular regulations have been widely adopted to modulate protein networks in cells and recently developed to control allosteric DNA operations in vitro. However, current examples of programmable allosteric signal transmission through integrated DNA networks are stringently constrained by specific design requirements. Developing a new, more general, and programmable scheme for establishing allosteric DNA networks remains challenging. Here, we developed a general strategy for programmable allosteric DNA regulations that can be finely tuned by varying the dimensions, positions, and number of conformational signals. By programming the allosteric signals, we realized fan-out/fan-in DNA gates and multiple-layer DNA cascading networks, as well as expanding the approach to long-range allosteric signal transmission through tunable DNA origami nanomachines ~100 nm in size. This strategy will enable programmable and complex allosteric DNA networks and nanodevices for nanoengineering, chemical, and biomedical applications displaying sense-compute-actuate molecular functionalities.

A novel strategy for programmable DNA tile self-assembly with a DNAzyme-mediated DNA cross circuit

The proposed strategy promotes the controllability and modularization of trigger elements, realizes programmable molecular self-assembly, and has broad applications for the construction of DNA nanodevices.

Aloe derived nanovesicle as a functional carrier for indocyanine green encapsulation and phototherapy

Background

Cancer is one of the devastating diseases in the world. The development of nanocarrier provides a promising perspective for improving cancer therapeutic efficacy. However, the issues with potential toxicity, quantity production, and excessive costs limit their further applications in clinical practice.

Results

Herein, we proposed a nanocarrier obtained from aloe with stability and leak-proofness. We isolated nanovesicles from the gel and rind of aloe (gADNVs and rADNVs) with higher quality and yield by controlling the final centrifugation time within 20 min, and modulating the viscosity at 2.98 mPa S and 1.57 mPa S respectively. The gADNVs showed great structure and storage stability, antioxidant and antidetergent capacity. They could be efficiently taken up by melanoma cells, and with no toxicity in vitro or in vivo. Indocyanine green (ICG) loaded in gADNVs (ICG/gADNVs) showed great stability in both heating system and in serum, and its retention rate exceeded 90% after 30 days stored in gADNVs. ICG/gADNVs stored 30 days could still effectively damage melanoma cells and inhibit melanoma growth, outperforming free ICG and ICG liposomes. Interestingly, gADNVs showed prominent penetrability to mice skin which might be beneficial to noninvasive transdermal administration.

Conclusions

Our research was designed to simplify the preparation of drug carrier, and reduce production cost, which provided an alternative for the development of economic and safe drug delivery system.

Graphical Abstract

Supplementary Information

The online version contains supplementary material available at 10.1186/s12951-021-01195-7.

Multi-Mode Reconfigurable DNA-Based Chemical Reaction Circuits for Soft Matter Computing and Control

Developing smart material systems for performing different tasks in diverse environments remains challenging. Here, we show that by integrating stimuli-responsive soft materials with multi-mode reconfigurable DNA-based chemical reaction circuits (D-CRCs), it can control size change of microgels with multiple reaction pathways and adapt expansion behaviors to meet diverse environments. We first use pH-responsive intramolecular conformational switches for regulating DNA strand displacement reactions (SDRs). The ability to regulate SDRs with tunable pH-dependence allows to build dynamic chemical reaction networks with diverse reaction pathways. We confirm that the designed DNA switching circuits are reconfigurable at different pH and perform different logic operations, and the swelling of DNA switching circuit-integrated microgel systems can be programmably directed by D-CRCs. Our approach provides insight into building smart responsive materials and fabricating autonomous soft robots.

Boolean logic gate based on DNA strand displacement for biosensing: current and emerging strategies

DNA computers are considered one of the most prominent next-generation molecular computers that perform Boolean logic using DNA elements. DNA-based Boolean logic gates, especially DNA strand displacement-based logic gates (SDLGs), have shown tremendous potential in biosensing since they can perform the logic analysis of multi-targets simultaneously. Moreover, SDLG biosensors generate a unique output in the form of YES/NO, which is contrary to the quantitative measurement used in common biosensors. In this review, the recent achievements of SDLG biosensing strategies are summarized. Initially, the development and mechanisms of Boolean logic gates, strand-displacement reaction, and SDLGs are introduced. Afterwards, the diversified input and output of SDLG biosensors are elaborated. Then, the state-of-the-art SDLG biosensors are reviewed in the classification of different signal-amplification methods, such as rolling circle amplification, catalytic hairpin assembly, strand-displacement amplification, DNA molecular machines, and DNAzymes. Most importantly, limitations and future trends are discussed. The technology reviewed here is a promising tool for multi-input analysis and lays a foundation for intelligent diagnostics.

Assembly Pathway Selection with DNA Reaction Circuits for Programming Multiple Cell-Cell Interactions

The manipulation of cell-cell interactions promotes the study of multicellular behavior, but it remains a great challenge for programming multicellular assembly in complex reaction pathways with multiple cell types. Here we report a DNA reaction circuit-based approach to cell-surface engineering for the programmable regulation of multiple cell-cell interactions. The DNA circuits are designed on the basis of a stem-loop-integrated DNA hairpin motif, which has the capability of programming diverse molecular self-assembly and disassembly pathways by sequential allosteric activation. Modifying the cell surface with such DNA reaction circuits allows for performing programmable chemical functions on cell membranes and the control of multicellular self-assembly with selectivity. We demonstrate the selective control of targeting the capability of natural killer (NK) cells to two types of tumor cells, which show selectively enhanced cell-specific adaptive immunotherapy efficacy. We hope that our method provides new ideas for the programmable control of multiple cell-cell interactions in complex reaction pathways and potentially promotes the development of cell immunotherapy.

pH-Controlled Detachable DNA Circuitry and Its Application in Resettable Self-Assembly of Spherical Nucleic Acids

Toehold-mediated strand displacement reaction, the fundamental basis in dynamic DNA nanotechnology, has proven its extraordinary power in programming dynamic molecular systems. Programmed activation of the toehold in a DNA substrate is crucial for building sophisticated DNA devices with digital and dynamic behaviors. Here we developed a detachable DNA circuit by embedding a pH-controlled intermolecular triplex between the toehold and branch migration domain of the traditional "linear substrate". The reaction rate and the "on/off" state of the detachable circuit can be regulated by varying the pHs. Similarly, a two-input circuit composed of three pH-responsive DNA modules was then constructed. Most importantly, a resettable self-assembly system of spherical nucleic acids was built by utilizing the high detachability of the intermolecular triplex structure-based DNA circuit. This work demonstrated a dynamic DNA device that can be repeatedly operated at constant temperature without generating additional waste DNA products. Moreover, this strategy showed an example of recycling waste spherical nucleic acids from a self-assembly system of spherical nucleic acids. Our strategy will provide a facile approach for dynamic regulation of complex molecular systems and reprogrammable nanoparticle assembly structures.

Fine and bidirectional regulation of toehold-mediated DNA strand displacement by a wedge-like DNA tool

We established a novel wedge-like tool that could subtly and bidirectionally regulate the DNA strand displacement kinetics.

Constructing Controllable Logic Circuits Based on DNAzyme Activity

Recently, DNA molecules have been widely used to construct advanced logic devices due to their unique properties, such as a simple structure and predictable behavior. In fact, there are still many challenges in the process of building logic circuits. Among them, the scalability of the logic circuit and the elimination of the crosstalk of the cascade circuit have become the focus of research. Inspired by biological allosteric regulation, we developed a controllable molecular logic circuit strategy based on the activity of DNAzyme. The E6 DNAzyme sequence was temporarily blocked by hairpin DNA and activated under appropriate input trigger conditions. Using a substrate with ribonucleobase (rA) modification as the detection strand, a series of binary basic logic gates (YES, AND, and INHIBIT) were implemented on the computational component platform. At the same time, we demonstrate a parallel demultiplexer and two multi-level cascade circuits (YES-YES and YES-Three input AND (YES-TAND)). In addition, the leakage of the cascade process was reduced by exploring factors such as concentration and DNA structure. The proposed DNAzyme activity regulation strategy provides great potential for the expansion of logic circuits in the future.

An enzyme-free DNA circuit for the amplified detection of Cd2+ based on hairpin probe-mediated toehold binding and branch migration

An enzyme-free DNA circuit was designed for the amplified detection of Cd2+ based on hairpin probe-mediated toehold binding and branch migration. A Cd2+-specific aptamer was used to recognize Cd2+ and a G-quadruplex was used to report the detection signal. The assay is sensitive, with a detection limit of 5 pM.

Nonlinear Regulation of Enzyme-Free DNA Circuitry with Ultrasensitive Switches

DNA is used to construct synthetic chemical reaction networks (CRNs), such as inorganic oscillators and gene regulatory networks. Nonlinear regulation with a simpler molecular mechanism is particularly important in large-scale CRNs with complex dynamics, such as bistability, adaptation, and oscillation of cellular functions. Here we introduce a new approach based on ultrasensitive switches as modular regulatory elements to nonlinearly regulate DNA-based CRNs. The nonlinear behavior of the systems can be finely tuned by programmable regulation of the linker length and the ligand binding sites, of which the Hill coefficients (n_H) are in the range of 1.00-2.32. By integrating two different strand displacement reactions with low-order nonlinearities (n_H ≈ 1.44 and 1.54), we could construct CRNs exhibiting high-order nonlinearities with Hill coefficients of up to ∼2.70. In addition, this could provide an efficient approach for designing CRNs at will with complex chemical dynamics by incorporating our design with previously developed enzyme-free DNA circuits.

Fluorescence decay rate of selected compounds from Eysenhardtia polystachya extracts and their viability as biosensors

Eysenhardtia polystachya (EP) is an endemic Mexican plant that has been widely studied for its antidiabetic, antibacterial, and antioxidant properties. Several studies had reported the main components of EP, but their fluorescence properties had not been broadly studied. In a previous study we obtained extracts with different composition from this plant and they presented florescence. In this work we study fluorescent compounds from EP and evaluate their fluorescence properties. EP extracts were obtained by Soxhlet extraction with ethanol, samples were dried, and compounds were separated by column chromatography. Fluorescent fractions were classified apart from other fractions and characterized by Scanning electron microscopy (SEM), UV-Vis, Raman, FTIR and ¹H NMR spectra. Additionally, we obtained functional nanomaterials (using silica nanoparticles). TD-DFT molecular calculations of the fluorescent components were carried out to compare their theoretical UV-Vis spectra to experimental results. Nine fractions were obtained by chromatography and five of them showed fluorescence. Fluorescence of extracts from Eysenhardtia polystachya is due to more than one component and we suggest that could be other hydrochalcones for which we present possible structures. This finding would help to dissipate questions about which component is responsible for fluorescence in extracts from the plant and in this way determinate the appropriate use for these fluorophores. Finally, the application and viability as a biosensor using pulmonary epithelium fibroblast cell culture IMR-90 was proved, and in the concentration used are non-toxic materials.

Green synthesis of fluorescent PEG-ZnS QDs encapsulated into Co-MOFs as an effective sensor for ultrasensitive detection of copper ions in tap water

In this work, a novel and highly fluorescent (FL) metal-organic framework (MOF)-based host-guest hybrid system was developed through encapsulation of polyethylene glycol (PEG)-capped ZnS quantum dots (QDs) into zeolitic imidazolate framework (ZIF)-67 at ambient temperature. This new composite material was characterized by FT-IR, XRD, TEM, UV-Vis absorption and FL spectroscopy, and then exploited as fluorescence sensor for highly sensitive and selective detection of Cu (II) ions in water samples. The as-prepared PEG-ZnS QDs@ZIF-67 nanohybrids took advantages of both accumulation effect in ZIF-67 and FL sensitivity and selectivity in ZnS QDs toward analyte-Cu²⁺. In this regard, ZIF-67 was treated as absorbents to capture and enrich Cu (II) ions, and ZnS QDs were exploited as tentacle to selectively and sensitively sense the bonding interactions between ZIF-67 and Cu (II) ions, and further transduce these chemical events to the detectable fluorescence signals. By this approach, Cu²⁺ could be detected in a wide concentration range of 3 to 500 nM with a LOD as low as 0.96 nM. The proposed FL-sensor can be promising in the field of preparation of various QDs@MOFs platforms for application in high-performance optical sensing.

A catalytic molecule machine-driven biosensing method for amplified electrochemical detection of exosomes

Nowadays, exosomes that carry abundant information have attracted increasing attention as potent biomarkers of liquid biopsy and ideal candidates for early diagnosis and treatment of cancers. In this work, we propose a "principle-of-proof" biosensing method for amplified electrochemical detection of exosomes by using HepG2-derived exosomes as models. Specifically, target exosomes are enriched on anti-CD63-functionalized immunobeads and then recognized by a DNA chain containing CD63 aptamer region, which subsequently initiates a catalytic molecule machine that relies on cascade toehold-mediated strand displacement reaction. Benefiting from high efficiency of the molecule machine, the method shows a linear range from 1 × 10⁵ to 5 × 10⁷ particles/mL and a detection limit of 1.72 × 10⁴ particles/mL toward target exosomes, better than most existing detection methods. Moreover, the method demonstrates a high specificity even in serum samples and suggests a potential use in clinic, which may provide sufficient information for disease diagnosis, especially early detection and prognosis monitoring of tumors.

Silver nanoparticles exert concentration-dependent influences on biofilm development and architecture

Objectives

To investigate the impact of silver nanoparticles (AgNPs) on the biofilm growth and architecture.

Materials and methods

Silver nitrate was reduced by d‐maltose to prepare AgNPs in the presence of ammonia and sodium hydroxide. The physicochemical properties of AgNPs were characterized by transmission electron microscopy, ultraviolet‐visible spectroscopy and inductively coupled plasma mass spectrometry. The development of biofilm with and without AgNPs was explored by crystal violet stain. The structures of mature biofilm were visually studied by confocal laser scanning microscopy and scanning electron microscopy. Bacterial cell, polysaccharide and protein within biofilm were assessed quantitatively by colony‐counting method, phenol‐sulphuric acid method and Bradford assay, respectively.

Results

The spherical AgNPs (about 30 nm) were successfully synthesized. The effect of AgNPs on Pseudomonas aeruginosa biofilm development was concentration‐dependent. Biofilm was more resistant to AgNPs than planktonic cells. Low doses of AgNPs exposure remarkably delayed the growth cycle of biofilm, whereas high concentration (18 μg/mL) of AgNPs fully prevented biofilm development. The analysis of biofilm architecture at the mature stage demonstrated that AgNPs exposure at all concentration led to significant decrease of cell viability within treated biofilms. However, sublethal doses of AgNPs increased the production of both polysaccharide and protein compared to control, which significantly changed the biofilm structure.

Conclusions

AgNPs exert concentration‐dependent influences on biofilm development and structure, which provides new insight into the role of concentration played in the interaction between antibacterial nanoparticles and biofilm, especially, an ignored sublethal concentration associated with potential unintended consequences.

Chiral Metamolecules with Active Plasmonic Transition

Energy-dissipating self-assembly is at the basis of many important cellular processes, such as cell organization, proliferation, and morphogenesis. Beyond equilibrium self-assembled molecular systems and materials, it is increasingly recognized that the control of assembly kinetics provides great opportunity for the next generation of molecular materials with intelligent behavior including programmed spatiotemporal organization. Here we show the transient self-assembly of active chiral plasmonic metamolecules (CPMs), which is controlled by the proton flux generated from a positive-feedback chemical reaction network. The fuel-conversion kinetics allows for temporal control and adaptive tuning of multiple structures of plasmonic metamolecules (PMs). This approach enables autonomous tuning of chiroptical properties of metamolecules with dynamic behavior. Moreover, we show that 11 types of spatial configurations of PMs are assembled, and 9 types of temporal configurations of CPMs are differentiated.

pH-Operated Triplex DNA Device on MoS2 Nanosheets

We report a triplex-based DNA device coupled with molybdenum disulfide (MoS₂) nanosheets for use as a pH-sensing platform. The device transitions from a duplex state at pH 8 to a triplex state at pH 5. The interaction of the device with MoS₂ nanosheets in the two states is read out as a fluorescence signal from a pH-insensitive dye attached to the device. We characterized the operation of the DNA device on MoS₂ nanosheets, analyzed the pH response, and tested the reversibility of the system. Our strategy can lead to the creation of a suite of biosensors where the sensing element is a triplex DNA device and the signal response is modulated by inorganic nanomaterials.

Graphene-Based Steganographically Aptasensing System for Information Computing, Encryption and Hiding, Fluorescence Sensing and in Vivo Imaging of Fish Pathogens

Inspired by information processing and communication of life based on complex molecular interactions, some artificial (bio)chemical systems have been developed for applications in molecular information processing or chemo/biosensing and imaging. However, little attention has been paid to simultaneously and comprehensively utilize the information computing, encoding, and molecular recognition capabilities of molecular-level systems (such as DNA-based systems) for multifunctional applications. Herein, a graphene-based steganographically aptasensing system was constructed for multifunctional application, which relies on specific molecular recognition and information encoding abilities of DNA aptamers ( Aeromonas hydrophila and Edwardsiella tarda-binding aptamers as models) and the selective adsorption and fluorescence quenching capacities of graphene oxide (GO). Although graphene-DNA systems have been widely used in biosensors and diagnostics, our proposed graphene-based aptasensing system can not only be utilized for fluorescence sensing and in vivo imaging of fish pathogens ( A. hydrophila and E. tarda), but can also function as a molecular-level logic computing system where the combination of matters (specific molecules or materials) as inputs produces the resulting product (matter level) or fluorescence (energy level) changes as two outputs. More importantly and interestingly, our graphene-based steganographically aptasensing system can also serve as a generally doubly cryptographic and steganographic system for sending different secret messages by using pathogen-binding DNA aptamers as information carriers, GO as a cover, and a pair of keys, that is, target pathogen as a public key, the encryption key used to encode or decode a message in DNA as a private key. Our study not only provides a novel nanobiosensing assay for rapid and effective sensing and in vivo imaging of fish pathogens, but also demonstrates a prototype of (bio)molecular steganography as an important and interesting extension direction of molecular information technology, which is helpful in probably promoting the development of multifunctional molecular-level devices or machines.

Controlled disassembly of a DNA tetrahedron using strand displacement

In this study, we assembled a DNA tetrahedron containing single stranded extensions in the middle of the struts. Using these extensions as toeholds, the tetrahedron can be disassembled by nucleic acid triggers via strand displacement. The release mechanism is sequence specific, is functional in biological fluids such as serum and urine, and the kinetics of the disassembly process can be controlled by different molar ratios of the release strand. Such DNA nanostructures that respond to external stimuli have potential use in biosensing and drug delivery, and we demonstrate a proof-of-concept of this approach for microRNA detection.