Controlling the DNA Hybridization Chain Reaction

A dual-switch fluorescence biosensor with an entropy-driven and DNA walker cascade amplification circuit for sensitive microRNA detection

To achieve precise diagnosis of tumor cells, designing nucleic acid amplification circuits with intelligent multi-switch responsiveness for the specific and sensitive detection of miRNA within tumor cells is an important strategy. Here, we developed a dual-switch fluorescence biosensor that integrates a two-step cascade signal amplification circuit of an entropy-driven circuit (EDC) and DNA walkers onto gold nanoparticles for highly sensitive and quantitative detection of target miRNA in tumor cells. The dual switches that trigger the fluorescence signal are miRNA and the APE1 enzyme, both of which are upregulated in tumor cells. To be specific, the target miRNA21 triggers the upstream EDC, releasing strands that serve as walkers for the downstream circuit. Under the cleavage-driven action of the APE1 enzyme, the walker strands walk along the track strands on the surface of AuNPs, releasing a strong fluorescence signal and presenting good linearity in the target miRNA concentration range of 40 pM-100 nM. This biosensor presents good specificity, strong anti-interference ability against multiple RNAs and enzymes and can effectively distinguish cancer cells from normal cell lysates. Overall, this dual-switch fluorescence biosensor provides a precise recognition and efficient amplification strategy for miRNA detection within tumors, indicating its potential for clinical applications in disease diagnosis.

Visual Detection of Chlorpyrifos by DNA Hydrogel-Based Self-Actuated Capillary Aptasensor Using Nicking Enzyme-Mediated Amplification

The abuse of chlorpyrifos (CPF), an organophosphorus pesticide, poses significant health risks to humans. Therefore, rapid and accurate detection of residual CPF is crucial to human health due to its high risk in trace amounts. Herein, we developed a simple aptasensor that combines a DNA hydrogel-based self-driven capillary with nicking enzyme-mediated amplification (NEMA), in which the NEMA is triggered through the interaction of the aptamer with CPF, and then amplified to produce a large number of single-stranded DNA that can destroy the three-dimensional structure of the DNA hydrogel. Due to the different degrees of collapse of the hydrogel membrane structure, different amounts of liquid are adsorbed into the capillary under the action of surface tension, thus realizing the naked eye detection of CPF. Under optimal conditions, the DNA hydrogel-based self-actuated capillary aptasensor can sensitively detect chlorpyrifos in the concentration range of 1 ng/L to 1 mg/L, with a detection limit of 1.73 pg/L. The advantages of the aptasensor are simple conditions, high sensitivity, and a large detection concentration range, and only a thermostat and simple operation are needed to achieve its excellent analytical performance. In addition, the developed self-actuated capillary aptasensor was successfully applied for the determination of CPF in apple, grape, cabbage, and peanut kernel.

Tetrahedral DNA framework-directed hybridization chain reaction controlled self-assembly

Nonenzymatic isothermal nucleic acid self-assembly techniques (e.g., the hybridization chain reaction, HCR) hold potential in building materials and biological sensing. However, a traditional HCR is triggered by the random diffusion and disordered conformations of ssDNA initiators, resulting in asynchronous initiation and inherently highly heterogeneous products that do not meet the standards of well-defined nanomaterials. Herein, we developed a nanomechanical restricted strategy directed by tetrahedral DNA frameworks (TDFs) to control HCR self-assembly. We found that the restricted initiator at TDF vertices could induce DNA hairpin assembly to form homogeneous products in solution. Mechanistically, we found that TDFs accelerated the strand displacement rate of the starting H1 and synchronized the assembly process of the HCR. Furthermore, the TDF exhibited strict vertex specificity for HCR controllable assembly, and side extension of the initiator could not result in homogeneous products. This work presents a straightforward and efficient approach for controlling the living self-assembly of macromolecular DNA, thus providing a novel tool for HCR-based nanomanufacturing and quantitative sensing applications.

An autocatalytic hybridization circuit-based FRET aptasensor for detection of low-abundant sulfameter in human serum

Exposure to antibiotics is considered a potential risk factor for human health. Yet, the extensive and cost-effective detection of low-abundant antibiotics in complex matrices remains a significant challenge. Herein, an aptamer and an autocatalytic hybridization circuit (AHC) were used to fabricate a fluorescence resonance energy transfer (FRET) platform to detect sulfameter (SME) in human serum. The AHC system comprised two mutually motivated hybridization chain reactions (HCR) modules, ultimately producing long-branched DNA copolymeric nanowires. This mutually reciprocal activation of two HCR modules enables continuous signal amplification, providing the AHC system with wide linear range and high sensitivity for the SME detection. Compared to the HCR-based aptasensor, the AHC-based aptasensor exhibited a wider linear range and improved sensitivity (3.3 times greater). Under optimal conditions, the fluorescent AHC-based aptasensor demonstrated a linear range (R2 was 0.996) from 0.5 to 2000 nM, with a low detection limit of 0.301 nM (S/N = 3). The fluorescent aptasensor was also validated by SME-spiked human serum samples, showing average recoveries ranging from 96.40 % to 109.30 %, with a relative standard deviation below 10.45 %. Furthermore, when tested on six human serum samples, the aptasensor results were consistent with those obtained from the commercial ELISA method. These findings demonstrate that the proposed aptasensor provides a promising approach for the practical monitoring of low-abundant SME in human serum.

Localized Bicirculating DNAzyme Self-Feedback Amplification Strategy for Ultra-Sensitive Fluorescence Biosensing of MicroRNA

DNAzyme-based cascade networks are effective tools to achieve ultrasensitive detection of low-abundance miRNAs. However, their designs are complicated and costly, and the operation is time-consuming. Herein, a novel simple noncascade DNAzyme network is designed and its amplification effect is comparable to or even better than many cascading ones. It is a nonenzymatic, isothermal, bicirculating amplification network consisting of two toehold-mediated strand-displacement reactions and a localized DNAzyme amplification strategy. Taking microRNA-122 as a target model, this ultrasensitive fluorescence biosensor has a detection limit of 84 zmol L-1, which is 8-orders of magnitude lower than that of the nonamplification one. The ultrasensitivity mainly benefits from the exclusive design and positive self-feedback mechanism of the ingenious bicirculating DNAzyme amplification network. In addition, the utilization of superparamagnetic Fe3O4@SiO2 particles not only helps for the localization of DNAzymes but also facilitates the rapid separation of signal probes (output DNA-CdTe QDs). This fluorescent biosensor also has the advantages of specificity, speed, thermal stability, and low cost. This novel design paves a new way to simple and effective bioamplification strategy, which may be very attractive for biosensors, DNA logic gates, and DNA computers.

Electrochemical Quantification of miRNA Based on Strain-Promoted Azide-Alkyne Cycloaddition Ligated Tetrahedral DNA Nanotags

Highly sensitive and accurate detection of disease biomarkers is of great importance for diagnosis, staging, and treatment of certain diseases. Herein, we report a novel electrochemical method for the quantification of miRNA biomarkers with DNA tetrahedrons as the signal reporters. Upon the initiation of DNA hairpin opening by miRNA at the electrode interface, the hidden click reaction group is exposed for the bioconjugation with a tetrahedral DNA nanostructure, which carries multiple electrochemical species. Strand displacement polymerization and reductant-mediated amplification are integrated for improved analytical performance. The established method achieves accurate quantitative detection of miRNA in the range from 100 aM to 10 pM. More importantly, it exhibits exceptional selectivity and stability, making it a highly convenient approach to monitor miRNA biomarkers, meeting the requirements of point-of-care testing.

Spatially Controlled MicroRNA Imaging in Mitochondria via Enzymatic Activation of Hybridization Chain Reaction

Live-cell imaging of RNA in specific subcellular compartments is essential for elucidating the rich repertoire of cellular functions, but it has been limited by a lack of simple, precisely controlled methods. Here such an approach is presented via the combination of hybridization chain reaction and spatially restricted enzymatic activation with organelle-targeted delivery. The system can localize engineered DNA hairpins in the mitochondria, where target RNA-initiated chain reaction of hybridization events is selectively activated by a specific enzyme, enabling amplified RNA imaging with high precision. It is demonstrated that the approach is compatible with live cell visualization and enables the regulatable imaging of microRNA in mitochondria. Since in situ activation of the signal amplification with enzyme eliminates the need for genetically encoded protein overexpression, it is envisioned that this simple platform will be broadly applicable for precise RNA imaging with subcellular resolution in a variety of biological processes.

Controlling the Depth of Hybridization Chain Reaction by Extended Dangling Ends and Its Analytical Applications

Hybridization chain reaction (HCR) is a powerful enzyme-free nucleic acid amplification strategy. Triggered by an initiator strand, it yields nicked double helices analogous to alternating copolymers. However, there is no effective way to regulate the HCR reaction, and the most apparent phenomenon is the uncontrollable polymerization of product after introducing an initiator. Here we explore controlling the depth of the HCR reaction by extended dangling ends on hairpin monomers and report that sequence length, nucleotide composition, and secondary structure can alter HCR polymerization and can be utilized for the desired regulation. Interaction dynamics between initiator and hairpin monomers simulated by oxDNA are in good accordance with experimental results. Such a controlling effect can be utilized for new analytical applications that HCR cannot previously achieve, such as analyzing strand-extension enzymes and identifying short-sequence structures. The finding provides a concise but effective way for controlling the depth of HCR reaction and opens the application scope of HCR to more fields.

Thermodynamics and Kinetics-Directed Regulation of Nucleic Acid-Based Molecular Recognition

Nucleic acid-based molecular recognition plays crucial roles in various fields like biosensing and disease diagnostics. To achieve optimal detection and analysis, it is essential to regulate the response performance of nucleic acid probes or switches to match specific application requirements by regulating thermodynamics and kinetics properties. However, the impacts of thermodynamics and kinetics theories on recognition performance are sometimes obscure and the relative conclusions are not intuitive. To promote the thorough understanding and rational utilization of thermodynamics and kinetics theories, this review focuses on the landmarks and recent advances of nucleic acid thermodynamics and kinetics and summarizes the nucleic acid thermodynamics and kinetics-based strategies for regulation of nucleic acid-based molecular recognition. This work hopes such a review can provide reference and guidance for the development and optimization of nucleic acid probes and switches in the future, as well as for advancements in other nucleic acid-related fields.

Precise pathogen quantification by CRISPR-Cas: a sweet but tough nut to crack

Pathogen detection is increasingly applied in medical diagnosis, food processing and safety, and environmental monitoring. Rapid, sensitive, and accurate pathogen quantification is the most critical prerequisite for assessing protocols and preventing risks. Among various methods evolved, those based on clustered regularly interspaced short palindromic repeats (CRISPR)-associated proteins (Cas) have been developed as important pathogen detection strategies due to their distinct advantages of rapid target recognition, programmability, ultra-specificity, and potential for scalability of point-of-care testing (POCT). However, arguments and concerns on the quantitative capability of CRISPR-based strategies are ongoing. Herein, we systematically overview CRISPR-based pathogen quantification strategies according to the principles, properties, and application scenarios. Notably, we review future challenges and perspectives to address the of precise pathogen quantification by CRISPR-Cas. We hope the insights presented in this review will benefit development of CRISPR-based pathogen detection methods.

Programming gel automata shapes using DNA instructions

The ability to transform matter between numerous physical states or shapes without wires or external devices is a major challenge for robotics and materials design. Organisms can transform their shapes using biomolecules carrying specific information and localize at sites where transitions occur. Here, we introduce gel automata, which likewise can transform between a large number of prescribed shapes in response to a combinatorial library of biomolecular instructions. Gel automata are centimeter-scale materials consisting of multiple micro-segments. A library of DNA activator sequences can each reversibly grow or shrink different micro-segments by polymerizing or depolymerizing within them. We develop DNA activator designs that maximize the extent of growth and shrinking, and a photolithography process for precisely fabricating gel automata with elaborate segmentation patterns. Guided by simulations of shape change and neural networks that evaluate gel automata designs, we create gel automata that reversibly transform between multiple, wholly distinct shapes: four different letters and every even or every odd numeral. The sequential and repeated metamorphosis of gel automata demonstrates how soft materials and robots can be digitally programmed and reprogrammed with information-bearing chemical signals.

Framework Nucleic Acids Combined with 3D Hybridization Chain Reaction Amplifiers for Monitoring Multiple Human Tear Cytokines

Existing tear sensors are difficult to perform multiplexed assays due to the minute amounts of biomolecules in tears and the tiny volume of tears. Herein, the authors leverage DNA tetrahedral frameworks (DTFs) modified on the wireless portable electrodes to effectively capture 3D hybridization chain reaction (HCR) amplifiers for automatic and sensitive monitoring of multiple cytokines in human tears. The developed sensors allow the sensitive determination of various dry eye syndrome (DES)-associated cytokines in human tears with the limit of detection down to 0.1 pg mL-1, consuming as little as 3 mL of tear fluid. Double-blind testing of clinical DES samples using the developed sensor and commercial ELISA shows no significant difference between them. Compared with single-biomarker diagnosis, the diagnostic accuracy of this sensor based on multiple biomarkers has improved by ≈16%. The developed system offers the potential for tear sensors to enable personalized and accurate diagnosis of various ocular diseases.

Reversible strain-promoted DNA polymerization

Molecular strain can be introduced to influence the outcome of chemical reactions. Once a thermodynamic product is formed, however, reversing the course of a strain-promoted reaction is challenging. Here, a reversible, strain-promoted polymerization in cyclic DNA is reported. The use of nonhybridizing, single-stranded spacers as short as a single nucleotide in length can promote DNA cyclization. Molecular strain is generated by duplexing the spacers, leading to ring opening and subsequent polymerization. Then, removal of the strain-generating duplexers triggers depolymerization and cyclic dimer recovery via enthalpy-driven cyclization and entropy-mediated ring contraction. This reversibility is retained even when a protein is conjugated to the DNA strands, and the architecture of the protein assemblies can be modulated between bivalent and polyvalent states. This work underscores the utility of using DNA not only as a programmable ligand for assembly but also as a route to access restorable bonds, thus providing a molecular basis for DNA-based materials with shape-memory, self-healing, and stimuli-responsive properties.

Dynamic DNA Assembly by Programmable Hybridization Chain Reaction Mimicking Tubulin

Dynamic biological structures involve the continual turnover of molecules within supramolecular assemblies such as tubulin. Inspired by dynamic biology self-organizing systems, we build an artificial dynamic structure based on DNA nanotechnology through a nonequilibrium chemical system. Herein, a metastable domain (MD), essentially a stem-loop structure, was introduced into DNA hairpins within hybridization chain reaction (HCR), thereby imparting dynamic activity to the DNA polymers. Hairpins with MD thermodynamically assemble to a high-energy polymer in the presence of trigger strands. The polymer can relax back to the stable unassembled state once the invader is added and finally relax to the activated hairpin by an anti-invader. Reversible assembly/disassembly of the HCR is achieved through invader/anti-invader cycles. We accomplished kinetic modulation, reversible conformational switching, cascading regulation, and enzyme activity control through the MD-HCR. We believe that the design of the MD-HCR could inspire the development of autonomous biological functions within artificial systems.

DNA framework signal amplification platform-based high-throughput systemic immune monitoring

Systemic immune monitoring is a crucial clinical tool for disease early diagnosis, prognosis and treatment planning by quantitative analysis of immune cells. However, conventional immune monitoring using flow cytometry faces huge challenges in large-scale sample testing, especially in mass health screenings, because of time-consuming, technical-sensitive and high-cost features. However, the lack of high-performance detection platforms hinders the development of high-throughput immune monitoring technology. To address this bottleneck, we constructed a generally applicable DNA framework signal amplification platform (DSAP) based on post-systematic evolution of ligands by exponential enrichment and DNA tetrahedral framework-structured probe design to achieve high-sensitive detection for diverse immune cells, including CD4+, CD8+ T-lymphocytes, and monocytes (down to 1/100 μl). Based on this advanced detection platform, we present a novel high-throughput immune-cell phenotyping system, DSAP, achieving 30-min one-step immune-cell phenotyping without cell washing and subset analysis and showing comparable accuracy with flow cytometry while significantly reducing detection time and cost. As a proof-of-concept, DSAP demonstrates excellent diagnostic accuracy in immunodeficiency staging for 107 HIV patients (AUC > 0.97) within 30 min, which can be applied in HIV infection monitoring and screening. Therefore, we initially introduced promising DSAP to achieve high-throughput immune monitoring and open robust routes for point-of-care device development.

Zipper-Confined DNA Nanoframe for High-Efficient and High-Contrast Imaging of Heterogeneous Tumor Cell

Current study in the heterogeneity and physiological behavior of tumor cells is limited by the fluorescence in situ hybridization technology in terms of probe assembly efficiency, background suppression capability, and target compatibility. In a typically well-designed assay, hybridization probes are constructed in a confined nanostructure to achieve a rapid assembly for efficient signal response, while the excessively high local concentration between different probes inevitably leads to nonspecific background leakage. Inspired by the fabric zipper, we propose a novel confinement reaction pattern in a zipper-confined DNA nanoframe (ZCDN), where two kinds of hairpin probes are independently anchored respective tracks. The metastable states of the dual tracks can well avoid signal leakage caused by the nonspecific probe configuration change. Biomarker-mediated proximity ligation reduces the local distance of dual tracks, kinetically triggering an efficient allosteric chain reaction between the hairpin probes. This method circumvents nonspecific background leakage while maintaining a high efficiency in responding to targets. ZCDN is employed to track different cancer biomarkers located in both the cytoplasm and cytomembrane, of which the expression level and oligomerization behavior can provide crucial information regarding intratumoral heterogeneity. ZCDN exhibits high target response efficiency and strong background suppression capabilities and is compatible with various types of biological targets, thus providing a desirable tool for advanced molecular diagnostics.

Programming and monitoring surface-confined DNA computing

DNA-based molecular computing has evolved to encompass a diverse range of functions, demonstrating substantial promise for both highly parallel computing and various biomedical applications. Recent advances in DNA computing systems based on surface reactions have demonstrated improved levels of specificity and computational speed compared to their solution-based counterparts that depend on three-dimensional molecular collisions. Herein, computational biomolecular interactions confined by various surfaces such as DNA origamis, nanoparticles, lipid membranes and chips are systematically reviewed, along with their manipulation methodologies. Monitoring techniques and applications for these surface-based computing systems are also described. The advantages and challenges of surface-confined DNA computing are discussed.

Dual-signal and one-step monitoring of Staphylococcus aureus in milk using hybridization chain reaction based fluorescent sensor

Food-borne pathogens in dairy products that was contaminated from raw ingredients or improper food handling can cause a major threaten to human health. Here, to construct the pathogens detection, a dual-signal readout fluorescent switching sensor was designed for one-step determination of Staphylococcus aureus (S. aureus), which was a marker of food contamination. Graphene oxide (GO) was used as a fluorescence quencher, while fluorophore-labeled hairpin DNA was used as a donor, resulting in fluorescence resonance energy transfer (FRET) from the fluorophore to GO (signal off). Enzyme-free hybridization chain reaction could generate remarkable signal amplification, which avoided the nonspecific desorption caused by any enzymatic proteins in GO surface. With the strong binding ability of aptamer to S. aureus, a long bifluorescent molecules-labeled double-stranded DNA product was formed, bringing in dual-signal readout responses (signal on). Consequently, a reliable, sensitive and selective sensor was obtained for one-step quantification of S. aureus concentration from 10 to 108 CFU/mL with a detection limit of 1 CFU/mL. Furthermore, satisfactory stability, reproducibility, specificity and good recovery efficiency in milk samples revealed that the proposed sensor could be served as a prospective tool for food safety analysis.

Tunable metal-organic frameworks assist in catalyzing DNAzymes with amplification platforms for biomedical applications

Various binding modes of tunable metal organic frameworks (MOFs) and functional DNAzymes (Dzs) synergistically catalyze the emergence of abundant functional nanoplatforms. Given their serial variability in formation, structural designability, and functional controllability, Dzs@MOFs tend to be excellent building blocks for the precise "intelligent" manufacture of functional materials. To present a clear outline of this new field, this review systematically summarizes the progress of Dz integration into MOFs (MOFs@Dzs) through different methods, including various surface infiltration, pore encapsulation, covalent binding, and biomimetic mineralization methods. Atomic-level and time-resolved catalytic mechanisms for biosensing and imaging are made possible by the complex interplay of the distinct molecular structure of Dzs@MOF, conformational flexibility, and dynamic regulation of metal ions. Exploiting the precision of DNAzymes, MOFs@Dzs constructed a combined nanotherapy platform to guide intracellular drug synthesis, photodynamic therapy, catalytic therapy, and immunotherapy to enhance gene therapy in different ways, solving the problems of intracellular delivery inefficiency and insufficient supply of cofactors. MOFs@Dzs nanostructures have become excellent candidates for biosensing, bioimaging, amplification delivery, and targeted cancer gene therapy while emphasizing major advancements and seminal endeavors in the fields of biosensing (nucleic acid, protein, enzyme activity, small molecules, and cancer cells), biological imaging, and targeted cancer gene delivery and gene therapy. Overall, based on the results demonstrated to date, we discuss the challenges that the emerging MOFs@Dzs might encounter in practical future applications and briefly look forward to their bright prospects in other fields.

Self-Powered Biosensor Based on DNA Walkers for Ultrasensitive MicroRNA Detection

A novel self-powered biosensor is fabricated for ultrasensitive microRNA-21 (miRNA-21) detection, which includes an enzymatic biofuel cell (EBFC), DNA walkers, a digital multimeter (DMM), and a capacitor. As a novel strategy for signal amplification, DNA walkers are designed in the cathode, while the capacitor stores electrochemical energy from the EBFC to further boost the instantaneous current displayed by the DMM. When miRNA-21 is present, the DNA walkers are provoked to walk from as-opened hairpin structures to other hairpin structures, generating double-strand DNA structures, which stimulate [Ru(NH3)6]3+ to be adsorbed on the cathode surface by electrostatic interaction. Afterward, [Ru(NH3)6]3+ is reduced to [Ru(NH3)6]2+, and the open circuit voltage (EOCV) is significantly increased. Depending on the approach of signal amplification from DNA walkers, this biosensor displays an ultrasensitive assay toward miRNA-21 in the range of 0.5 to 104 fM, with a detection limit of 0.15 fM. In addition, this self-powered biosensor displays high selectivity for miRNA-21 assay in human serum samples.

A tolane-modified 5-ethynyluridine as a universal and fluorogenic photochemical DNA crosslinker

We report the fluorescent nucleoside ToldU and its application as a photoresponsive crosslinker in three different DNA architectures with enhanced fluorescence emission of the crosslinked products. The fluorogenic ToldU crosslinking reaction enables the assembly of DNA polymers in a hybridization chain reaction for the concentration-dependent detection of a specific DNA sequence.

Entropy-driven DNA circuit with two-stage strand displacement for elegant and robust detection of miRNA let-7a

MicroRNAs (miRNAs) research in cancer diagnosis is expanding, on account of miRNAs were demonstrated to be key indicator of gene expression and hopeful candidates for biomarkers. In this study, a stable miRNA-let-7a fluorescent biosensor was successfully designed based on an exonuclease Ⅲ-assisted two-stage strand displacement reaction (SDR). First, an entropy-driven SDR containing a three-chain structure of the substrate is used in our designed biosensor, leading to reduce the reversibility of the target recycling process in each step. The target acts on the first stage to start the entropy-driven SDR, which generates the trigger used to stimulate the exonuclease Ⅲ-assisted SDR in the second stage. At the same time, we design a SDR one-step amplification strategy as a comparison. Expectly, this developed two-stage strand displacement system has a low detection limit of 25.0 pM as well as a broad detection range of 4 orders of magnitude, making it more sensitive than the SDR one-step sensor, whose detection limit is 0.8 nM. In addition, this sensor has high specificity across members of the miRNA family. Therefore, we can take advantage of this biosensor to promote miRNA research in cancer diagnosis sensing systems.

Hybridization chain reaction cascaded amplification platform for sensitive detection of pathogen

Rapid, sensitive, and accurate identification of pathogens is vital for preventing and controlling fish disease, reducing economic losses in aquaculture, and interrupting the spread of food-borne diseases in human populations. Herein, we proposed a hybridization chain reaction (HCR) cascaded dual-signal amplification platform for the ultrasensitive and specific detection of pathogenic microorganisms. A couple of specific primers for target bacterial 16S rRNAs were used to obtain amplified target single-stranded DNAs (AT-ssDNA). Then, AT-ssDNA initiated HCR amplification along with the opening of fluorophore (FAM) and a quencher (BHQ1) labeled hairpin reporter probe (H1), and the FAM fluorescence signal recovered. The proposed strategy could achieve a detection limit down to 0.31 CFU/mL for Staphylococcus aureus (S. aureus), 0.49 CFU/mL for Escherichia coli (E. coli) in buffer, and a linear range from 1 to 1 × 10⁶ CFU/mL for S. aureus, 1 to 1 × 10⁷ CFU/mL for E. coli. Furthermore, this platform enabled sensitive and precise detection of pathogenic microorganisms in complex samples such as fish blood and different organ tissues (large intestine, gallbladder, heart, liver, ren, gill, skin), which shows great potential in disease prevention and control in aquatic products.

Tracing cellular interaction of circRNA-miRNA axis with Cu metal-organic framework supported DNA cascade assembly

Circular RNAs (circRNAs) can act as molecular sponges of microRNA (miRNA) to form circRNA-miRNA axis, which regulates the expressions of downstream proteins. Although the mechanism has been widely reported in various bioprocesses, there is still a lack of reliable and facile way to intuitively monitor and locate the interaction between circRNA and miRNA inside living cells. In this study, multiple DNA probes are designed and loaded onto two-dimensional Cu metal-organic framework (2D Cu-MOF) nanosheets for one-step analysis of circRNA-miRNA axis. The nanosheets serve as not only powerful fluorescence quenchers but also excellent nanocarriers of abundant DNA probes for further assembly. The Probes@Cu-MOF complex can be applied to track the circRNA-miRNA axis in living cells with high sensitivity and co-localization analysis. This platform combines the transmembrane advantage of nanosheets and the signal amplification ability of localized DNA cascade assembly, so it holds great potential for understanding the biological functions of circRNA-miRNAs in cancer pathogenesis and for therapeutic applications.

Ω-shaped fiber optic LSPR biosensor based on mismatched hybridization chain reaction and gold nanoparticles for detection of circulating cell-free DNA

Circulating cell-free DNA (cfDNA) is a promising biomarker of liquid biopsy, but it still faces some difficulties in achieving sensitive and convenient detection. Herein, an Ω-shaped fiber optic localized surface plasmon resonance (FO-LSPR) biosensor based on hybridization chain reaction (HCR) coupled with gold nanoparticles (AuNPs) was developed, and applied in simple and sensitive detection of cfDNA. Specifically, one-base mismatch was designed in HCR hairpins (H1 and H2) to obtain high reaction efficiency, and AuNPs was introduced onto H1 through poly-adenine to construct HCR coupled with AuNPs strategy. Meanwhile, target cfDNA was designed into two domains: one could trigger HCR to generate dsDNA concatemer carrying numerous AuNPs, and the other could hybridize with capture DNA on the surface of Ω-shaped fiber optic (FO) probes. Thus, the presence of target cfDNA would initiate HCR, and bring the formed dsDNA concatemer and AuNPs to approach the probe surface, resulting in dramatically amplified LSPR signal. Besides, HCR required simple isothermal and enzyme-free condition, and Ω-shaped FO probe with high refractive index sensitivity just needed to be immersed into HCR solution directly for signal monitoring. Benefiting from the synergetic amplification of mismatched HCR and AuNPs, the proposed biosensor exhibited high sensitivity with a limit of detection of 14.0 pM, and therefore could provide a potential strategy for biomedical analysis and disease diagnosis.

Aptamer recognition-promoted hybridization chain reaction for amplified label-free and enzyme-free fluorescence analysis of pesticide

Development of high-performance fluorescence sensors for pesticide is highly urgent but remains a grand challenge. It is due to that most of known fluorescence sensors detect pesticides based on enzyme-inhibited strategy, which requires high-price cholinesterase, suffers from serious interference of reductive materials, and can't difference pesticides with each other; the known aptamer-based fluorescence ones entail tool enzymes or nanomaterials to transducer/amplify the signal and demand signalers to be tagged in nucleic acid, which are expensive and intricate. Herein, we develop a novel aptamer-based fluorescence system for label-free, enzyme-free and highly sensitive detection of pesticide (profenofos) based on target-initiated hybridization chain reaction (HCR)-assisted signal amplification and specific intercalation of N-methylmesoporphyrin IX (NMM) in G-quadruplex DNA. Hairpin probe ON1 recognizes profenofos to generate profenofos@ON1 complex, which switches the HCR to yield multiple G-quadruplex DNA, consequently making large numbers of NMM be locked. In comparison with profenofos absence, a sharply improved fluorescence signal was recorded and it was dependent on profenofos dose. Hence, label-free, enzyme-free and highly sensitive detection of profenofos is achieved with limit of detection of 0.085 nM, which compared favorably with or superior to those of known fluorescence methods. Furthermore, the present method was applied to determine the profenofos residue in rice with agreeable result, and will provide more valuable information for guaranteeing the pesticide-related food safety.

Self-Powered Biosensor for a Highly Efficient and Ultrasensitive Dual-Biomarker Assay

A dual-biomarker, self-powered biosensor was fabricated for the ultrasensitive detection of microRNA-21 (miRNA-21) and miRNA-155 based on enzymatic biofuel cells (EBFCs), catalytic hairpin assembly (CHA), and DNA hybridization chain reaction (HCR), with a capacitor and digital multimeter (DMM). In the presence of miRNA-21, the CHA and HCR are triggered and lead to the generation of a double-helix chain, which stimulates [Ru(NH₃)₆]³⁺ to move to the biocathode surface due to electrostatic interaction. Subsequently, the biocathode obtains electrons from the bioanode and reduces [Ru(NH₃)₆]³⁺ to [Ru(NH₃)₆]²⁺, which significantly increases the open-circuit voltage (E₁^OCV). When miRNA-155 is present, CHA and HCR cannot be completed, resulting in a low E₂^OCV. The self-powered biosensor allows for the simultaneous ultrasensitive detection of miRNA-21 and miRNA-155 with detection limits of 0.15 and 0.66 fM, respectively. Moreover, this self-powered biosensor exhibits the highly sensitive detection for miRNA-21 and miRNA-155 assay in human serum samples.

Rapid Visible Detection of African Swine Fever Virus Using Hybridization Chain Reaction-Sensitized Magnetic Nanoclusters and Affinity Chromatography

African swine fever virus (ASFV) is a severe and persistent threat to the global swine industry. As there are no vaccines against ASFV, there is an immense need to develop easy-to-use, cost-effective, and rapid point-of-care (POC) diagnostic platforms to detect and prevent ASFV outbreaks. Here, a novel POC diagnostic system based on affinity column chromatography for the optical detection of ASFV is presented. This system employs an on-particle hairpin chain reaction to sensitize magnetic nanoclusters with long DNA strands in a target-selective manner, which is subsequently fed into a column chromatography device to produce quantitatively readable and colorimetric signals. The detection approach does not require expensive analytical apparatus or immobile instrumentation. The system can detect five genes constituting the ASFV whole genome with a detection limit of ≈19.8 pm in swine serum within 30 min at laboratory room temperature. With an additional pre-amplification step using polymerase chain reaction (PCR), the assay is successfully applied to detect the presence of ASFV in 30 suspected swine samples with 100% sensitivity and specificity, similar to quantitative PCR. Thus, this simple, inexpensive, portable, robust, and customizable platform for the early detection of ASFV can facilitate the timely surveillance and implementation of control measures.

Ultrasensitive Hybridization Chain Reaction-Assisted Multisite Exonuclease III Amplification Strategy Combined with a Direct Quantitative Fluorescence Lateral Flow Technique for Multiple Bacterial 16S rRNA Detection

Accurate and in-time detection of bacteria conduces to preventing their rapid spread around the environment, while a nucleic acid test (NAT) is a powerful tool for early diagnosis of pathogens. Herein, we propose a hybridization chain reaction (HCR)-mediated multisite exonuclease III (Exo-III) amplification strategy (HCR/Exo-III amplifier) to achieve the one-pot and ultrasensitive isothermal amplification of bacterial 16S rRNA and a portable fluorescence detection device (PFD) to directly read signals in a lateral flow assay (LFA). In detail, the target-initiated HCR products present multiple binding sites for triggering the Exo-III amplifier that produces numerous target amplicons. Following that, the target amplicons travel up on the strip and bridge between the DNA-CdTe/CdS probes and the capture DNA to form a positive fluorescence line. After that, the strip is inserted into the PFD to accomplish the fluorescence signal reading. The constructed HCR/Exo-III amplifier-based PFD-LFA implemented the simultaneous and specific detection of three bacteria with a detection limit of a few tenths of fM for synthetic 16S rRNA fragments and dozens of CFU/mL for Staphylococcus aureus, Listeria monocytogenes, and Salmonella typhimurium in pure cultures. The sensing platform features isothermal amplification, convenient operation, and good economy, displaying great potential for on-site testing toward multiple nucleic acid analytes.

A functional RNA/DNA circuit for one-pot detection of SARS-CoV-2 RNA

A simple method is proposed in this work for the detection of SARS-CoV-2 RNA based on a functional RNA/DNA circuit. By ingeniously integrating the nucleic acid circuit technology and CRISPR/cas12a system, this method can achieve femtomolar detection of the target RNA in one step and successfully distinguish COVID-19 positive cases from clinical samples, proving its great potential for clinical application.

Modular Nucleic Acid Scaffolds for Synthesizing Monodisperse and Sequence-Encoded Antibody Oligomers

Synthesizing protein oligomers that contain exact numbers of multiple different proteins in defined architectures is challenging. DNA-DNA interactions can be used to program protein assembly into oligomers; however, existing methods require changes to DNA design to achieve different numbers and oligomeric sequences of proteins. Herein, we develop a modular DNA scaffold that uses only six synthetic oligonucleotides to organize proteins into defined oligomers. As a proof-of-concept, model proteins (antibodies) are oligomerized into dimers and trimers, where antibody function is retained. Illustrating the modularity of this technique, dimer and trimer building blocks are then assembled into pentamers containing three different antibodies in an exact stoichiometry and oligomeric sequence. In sum, this report describes a generalizable method for organizing proteins into monodisperse, sequence-encoded oligomers using DNA. This advance will enable studies into how oligomeric protein sequences affect material properties in areas spanning pharmaceutical development, cascade catalysis, synthetic photosynthesis, and membrane transport.

Target-manipulated drawstring DNAzyme for ultrasensitive detection of UDG using Au@Ag NRs indicator

Uracil-DNA glycosylase (UDG) is a common glycosylase that can expressly recognize and remove damaged uracil bases, and the ultrasensitive detection of which is significant to maintain genomic stability and early clinical diagnosis of disease. Herein, we proposed a sensitive colorimetric sensing platform to detect UDG. Combined with target-manipulated drawstring DNAzyme and Au@Ag nanorods (Au@Ag NRs) indicator, we achieved in naked-eyes observation and ultrasensitive detection of UDG. Briefly, when the UDG exists, the dynamic reaction of rope pulling will occur generating the active conformation of DNAzyme. The cutting effect will be further produced when we add Mg²⁺, thus the generated trigger chain can mediate the occurrence of CHA reaction, followed by generating amount of ·OH which can etch Au@Ag NRs causing the shifted of localized surface plasmon resonance (LSPR) peak. By contrast, there is no obvious shift of LSPR peak. This strategy shows extraordinary specificity and sensitivity toward UDG providing a detection limit of 4.6 × 10^-5 U mL^-1. By using of this method, we detected UDG specifically in complex samples, proving that it's potential applications in biomedical research and clinical diagnosis are fantastic.

Double Signal Amplification Strategy for Dual-Analyte Fluorescent Aptasensors for Visualizing Cancer Biomarker Proteins

The simultaneous analysis of diversified biomarkers with high sensitivity and in a point-of-care (POC) manner is of great significance for facile and early cancer diagnosis. Herein, we develop a target amplification-assisted ratiometric fluorescence assay (TARFA) platform integrating the dual-amplification strategy and colorimetric readout technology for sensitive and specific detection of two malignancy-associated biomarkers. Meanwhile, the NIR-excited alkaline-earth sulfide nanodots (ASNDs) with an ultrasmall (<10 nm) diameter and tunable emission wavelength are employed to replace commonly UV/visible light-excited fluorescent labels to minimize background interference from the sample matrix. Unique advantages of the ASNDs, together with superiority of consecutive signal amplification of enzymatic target recycling (ETR) and hybridization chain reaction (HCR), realize the pg/mL-range detection limit in specifically recognizing the vascular endothelial growth factor (VEGF) and soluble interleukin-6 receptors (sIL-6R). The combination detection of the dual analyte exhibits an improved sensitivity for cancer diagnosis. The addition of the target biomarkers leads to an increasingly ratiometric RGB signal, and quantification based on the ratio-dependent signal is more reliable rather than measuring the absolute RGB signals. Moreover, perceptible color transformation makes the TARFA platform competent for visual analysis of the target analytes as convenient as reading the pH indicator strip, and hue-based image analysis also improves the method with fine precision by quantitatively identifying the visual color. This work provides a new kind of NIR-excited aptasensing platform with a low detection limit, high throughput, and great portability, which also highlights the potential of the ASNDs in biomolecular fluorescent labeling.

Massively Parallel DNA Computing Based on Domino DNA Strand Displacement Logic Gates

DNA computing has gained considerable attention due to the characteristics of high-density information storage and high parallel computing for solving computational problems. Building addressable logic gates with biomolecules is the basis for establishing biological computers. In the current calculation model, the multiinput AND operation often needs to be realized through a multilevel cascade between logic gates. Through experiments, it was found that the multilevel cascade causes signal leakage and affects the stability of the system. Using DNA strand displacement technology, we constructed a domino-like multiinput AND gate computing system instead of a cascade of operations, realizing multiinput AND computing on one logic gate and abandoning the traditional multilevel cascade of operations. Fluorescence experiments demonstrated that our methods significantly reduce system construction costs and improve the stability and robustness of the system. Finally, we proved stability and robustness of the domino AND gate by simulating the tic-tac-toe process with a massively parallel computing strategy.

A Versatile Electrochemical Biosensor for the Detection of Circulating MicroRNA toward Non-Small Cell Lung Cancer Diagnosis

Circulating microRNAs (miRNAs) can be used as noninvasive biomarkers and are also found circulating in body fluids such as blood. Dysregulated miRNA expression is associated with many diseases, including non-small cell lung cancer (NSCLC), and the miRNA assay is helpful in cancer diagnosis, prognosis, and monitoring. In this work, a versatile electrochemical biosensing system is developed for miRNA detection by DNAzyme-cleavage cycling amplification and hybridization chain reaction (HCR) amplification. With cleavage by Mn²⁺ targeted DNAzyme, DNA-walker can move along the predesigned DNA tracks and contribute to the transduction and enhancement of signals. For the electrochemical process, the formation of multiple G-quadruplex-incorporated long double-stranded DNA (dsDNA/G-quadruplex) structures is triggered through HCR amplification. The introduction of G-quadruplex allows sensitive measurement of miRNA down to 5.68 fM with good specificity. Furthermore, by profiling miRNA in the NSCLC cohort, this designed strategy shows high efficiency (area under the curve (AUC) of 0.879 using receiver operating characteristic (ROC) analysis) with the sensitivity of 80.0% for NSCLC early diagnosis (stage I). For the discrimination of NSCLC and benign disease, the assay displays an AUC of 0.907, superior to six clinically-acceptable protein tumor markers. Therefore, this platform holds promise in clinical application toward NSCLC diagnosis and prognosis.

Intelligent and robust DNA robots capable of swarming into leakless nonlinear amplification in response to a trigger

Nonlinear DNA signal amplification with an enzyme-free isothermal self-assembly process is uniquely useful in nanotechnology and nanomedicine. However, progress in this direction is hampered by the lack of effective design models of leak-resistant DNA building blocks. Here, we propose two conceptual models of intelligent and robust DNA robots to perform a leakless nonlinear signal amplification in response to a trigger. Two conceptual models are based on super-hairpin nanostructures, which are designed by innovating novel principles in methodology and codifying them into embedded programs. The dynamical and thermodynamical analyses reveal the critical elements and leak-resistant mechanisms of the designed models, and the leak-resistant behaviors of the intelligent DNA robots and morphologies of swarming into nonlinear amplification are separately verified. The applications of the designed models are also illustrated in specific signal amplification and targeted payload enrichment via integration with an aptamer, a fluorescent molecule and surface-enhanced Raman spectroscopy. This work has the potential to serve as design guidelines of intelligent and robust DNA robots and leakless nonlinear DNA amplification, and also as the design blueprint of cargo delivery robots with the performance of swarming into nonlinear amplification in response to a target automatically, facilitating their future applications in biosensing, bioimaging and biomedicine.

DNA nanotechnology-empowered finite state machines

A finite state machine (FSM, or automaton) is an abstract machine that can switch among a finite number of states in response to temporally ordered inputs, which allows storage and processing of information in an order-sensitive manner. In recent decades, DNA molecules have been actively exploited to develop information storage and nanoengineering materials, which hold great promise for smart nanodevices and nanorobotics under the framework of FSM. In this review, we summarize recent progress in utilizing DNA self-assembly and DNA nanostructures to implement FSMs. We describe basic principles for representative DNA FSM prototypes and highlight their advantages and potential in diverse applications. The challenges in this field and future directions have also been discussed.

Prospects and challenges of dynamic DNA nanostructures in biomedical applications

The physicochemical nature of DNA allows the assembly of highly predictable structures via several fabrication strategies, which have been applied to make breakthroughs in various fields. Moreover, DNA nanostructures are regarded as materials with excellent editability and biocompatibility for biomedical applications. The ongoing maintenance and release of new DNA structure design tools ease the work and make large and arbitrary DNA structures feasible for different applications. However, the nature of DNA nanostructures endows them with several stimulus-responsive mechanisms capable of responding to biomolecules, such as nucleic acids and proteins, as well as biophysical environmental parameters, such as temperature and pH. Via these mechanisms, stimulus-responsive dynamic DNA nanostructures have been applied in several biomedical settings, including basic research, active drug delivery, biosensor development, and tissue engineering. These applications have shown the versatility of dynamic DNA nanostructures, with unignorable merits that exceed those of their traditional counterparts, such as polymers and metal particles. However, there are stability, yield, exogenous DNA, and ethical considerations regarding their clinical translation. In this review, we first introduce the recent efforts and discoveries in DNA nanotechnology, highlighting the uses of dynamic DNA nanostructures in biomedical applications. Then, several dynamic DNA nanostructures are presented, and their typical biomedical applications, including their use as DNA aptamers, ion concentration/pH-sensitive DNA molecules, DNA nanostructures capable of strand displacement reactions, and protein-based dynamic DNA nanostructures, are discussed. Finally, the challenges regarding the biomedical applications of dynamic DNA nanostructures are discussed.

Genosensors, a nanomaterial-based platform for microRNA-21 detection, non-invasive methods in early detection of cancer

MicroRNAs are small non-coding RNAs that are 18-24 nucleotides in length. Among the most widely studied microRNAs, microRNA21 (miR21) is highly expressed in many mammalian cell types. It regulates numerous biological functions such as differentiation, proliferation, apoptosis, and migration. Therefore, sensitive and specific detection of miR-21 is crucial in medical approaches. Several methods such as ISH, northern blotting, RT-PCR, microarray, and next-generation are conventionally used to detect miR-21. Due to the limitations and problems related to routine methods, the development of advanced and modern methods has been one of the investigation goals of researchers in recent years. Nanotechnology-based methods have been among the most critical methods in the last two decades. Biosensors are one of the primary modern methods that largely overcome the limitations of routine procedures. The present study introduces and discusses routine methods for the detection of miR-21and the related up-to-date biosensors developed in recent years (2019-2021).

Discrimination of Single-Nucleotide Variants Based on an Allele-Specific Hybridization Chain Reaction and Smartphone Detection

Massive DNA testing requires novel technologies to support a sustainable health system. In recent years, DNA superstructures have emerged as alternative probes and transducers. We, herein, report a multiplexed and highly sensitive approach based on an allele-specific hybridization chain reaction (AS-HCR) in the array format to detect single-nucleotide variants. Fast isothermal amplification was developed before activating the HCR process on a chip to work with genomic DNA. The assay principle was demonstrated, and the variables for integrating the AS-HCR process and smartphone-based detection were also studied. The results were compared to a conventional polymerase reaction chain (PCR)-based test. The developed multiplex method enabled higher selectivity against single-base mismatch sequences at concentrations as low as 10³ copies with a limit of detection of 0.7% of the mutant DNA percentage and good reproducibility (relative error: 5% for intra-assay and 17% for interassay). As proof of concept, the AS-HCR method was applied to clinical samples, including human cell cultures and biopsied tissues of cancer patients. Accurate identification of single-nucleotide mutations in KRAS and NRAS genes was validated, considering those obtained from the reference sequencing method. To conclude, AS-HCR is a rapid, simple, accurate, and cost-effective isothermal method that detects clinically relevant genetic variants and has a high potential for point-of-care demands.

Optically Programmable Plasmon Enhanced Fluorescence-Catalytic Hairpin Assembly Signal Amplification Strategy for Spatiotemporally Precise Imaging

Signal amplification strategies with spatiotemporally high sensitivity can provide more accurate information and hold great promise for improving the accuracy of disease diagnosis. Herein, a 808 nm near-infrared (NIR) light-activated plasmon enhanced fluorescence-catalytic hairpin assembly (PEF-CHA) signal amplification strategy was proposed for spatiotemporally controllable precise imaging of miRNA in vitro and in vivo with ultrasensitivity. The proposed 808 nm NIR light-activated PEF-CHA signal amplification strategy is constructed through combining up-conversion photocontrol and PEF technologies with CHA. It is worth noting that the laser irradiation-induced overheating effect could be effectively alleviated by using Nd³⁺-sensitized upconversion nanoparticles (UCNPs) to convert 808 nm NIR light to ultraviolet (UV) light, which is almost nondestructive to cells or tissues. In addition, nonspecific activation as well as false positive signals can be effectively avoided. Moreover, the detection limit can be reduced by approximate 38 times thanks to the high sensitivity of the proposed strategy. Furthermore, we demonstrate that the 808 nm NIR light-activated PEF-CHA signal amplification strategy can be expanded to sensitive and activatable imaging of intratumoral miRNAs in living mice, showing feasible prospects for precise biological and medical analysis.

NIR-to-Vis Handheld Platforms for Detecting miRNA Level and Mutation Based on Sub-10 nm Sulfide Nanodots and HCR Amplification

Sub-10 nm monodisperse alkaline-earth sulfide nanodots (ASNDs) with bright near-infrared (NIR)-excitation fluorescence and adjustable emission wavelength were prepared by a thermal decomposition method for the first time. The ASNDs exhibited high NIR-to-vis conversion efficiency and served as multicolor fluorescent labels in the proposed miR-224 assay. Targeted detection of the miR-224 level and single-nucleotide variation in miR-224 was carried out on a smartphone-based platform using a hybridization chain reaction (HCR) amplification strategy. In the presence of miR-224, the ASND-labeled HCR probes self-assembled on the surface of the diagnosis kits, generating strong fluorescent signals linearly proportional to miR-224 contents in the range of 10-2000 fM. Significantly, mutations in miR-224 led to the variation in the fluorescence intensity ratio in RGB channels. Simultaneously, evident changes of fluorescent brightness and color were easily visualized by the naked eye, which enabled on-site discrimination of miR-224 with different mutant loci. This work provides a novel preparation approach for ultrasmall NIR excitation sulfide nanodots and reveals the potential of the as-synthesized ASNDs in point-of-care (POC) nucleic acid testing. Further, it may provide a handheld platform for miRNA single-nucleotide polymorphism analysis.

Recent Advances in Stimuli-Responsive DNA-Based Hydrogels

Stimuli-responsive DNA-based hydrogels are attracting growing interest because of their smart responsiveness, excellent biocompatibility, regulated biodegradability, and programmable design properties. Integration of reconfigurable DNA architectures and switchable supramolecular moieties (as cross-linkers) in hydrogels by responding to external stimuli provides an ideal approach for the reversible tuning structural and mechanical properties of the hydrogels, which can be exploited in the development of intelligent DNA-based materials. This review highlights recent advances in the design of responsive pure DNA hydrogels, DNA-polymer hybrid hydrogels, and autonomous DNA-based hydrogels with transient behaviors. A variety of chemically and physically triggered DNA-based stimuli-responsive hydrogels and their versatile applications in biosensing, biocatalysis, cell culture and separation, drug delivery, shape memory, self-healing, and robotic actuators are summarized. Finally, we address the key challenges that the field will face in the coming years, and future prospects are identified.

Framework Nucleic Acid-Based Spatial-Confinement Amplifier for miRNA Imaging in Living Cells

Real-time in situ monitoring of miRNAs in living cells is often appealed to signal amplifiers to tackle their low abundance challenges. However, the poor kinetics of amplifiers and potential interferences from the complex intracellular environment hamper its widespread applications in vivo. Herein, we report a framework nucleic acid (FNA)-based nonenzymatic spatial-confinement amplifier for rapid and reliable intracellular miRNA imaging. The amplifier consists of a localized catalytic hairpin assembly (L-CHA) reactor encapsulated in the inner cavity of an FNA (a 20 bp cube). The L-CHA reactor is certainly confined to the internal frame by integrating two probes (H1 and H2) of the L-CHA within a DNA strand and harnessing it to the opposite angles of the cube. We find that the stability of the amplifier is remarkably improved due to the protection of the FNA. More importantly, the spatial-confinement effect of the FNA can endow the confined L-CHA amplifier with enhanced local concentrations of reagents (5000-fold), thereby accelerating the reaction rate and improving the dynamic performance (up to 14.34-fold). With these advantages, the proposed amplifier can enable accurate and effective monitoring of miRNA expression levels in living cells and poses great potential in medical diagnostics and biomedical research.