Entropy-driven DNA logic circuits regulated by DNAzyme

Erasable and Field Programmable DNA Circuits Based on Configurable Logic Blocks

DNA is commonly employed as a substrate for the building of artificial logic networks due to its excellent biocompatibility and programmability. Till now, DNA logic circuits are rapidly evolving to accomplish advanced operations. Nonetheless, nowadays, most DNA circuits remain to be disposable and lack of field programmability and thereby limits their practicability. Herein, inspired by the Configurable Logic Block (CLB), the CLB-based erasable field-programmable DNA circuit that uses clip strands as its operation-controlling signals is presented. It enables users to realize diverse functions with limited hardware. CLB-based basic logic gates (OR and AND) are first constructed and demonstrated their erasability and field programmability. Furthermore, by adding the appropriate operation-controlling strands, multiple rounds of programming are achieved among five different logic operations on a two-layer circuit. Subsequently, a circuit is successfully built to implement two fundamental binary calculators: half-adder and half-subtractor, proving that the design can imitate silicon-based binary circuits. Finally, a comprehensive CLB-based circuit is built that enables multiple rounds of switch among seven different logic operations including half-adding and half-subtracting. Overall, the CLB-based erasable field-programmable circuit immensely enhances their practicability. It is believed that design can be widely used in DNA logic networks due to its efficiency and convenience.

Ultrasensitive upconverting nanoprobes for in situ imaging of drug-induced liver injury using miR-122 as the biomarker

Drug-induced liver injury (DILI) is a frequent adverse drug reaction. The current clinical diagnostic methods are inadequate for accurate and early detection of DILI due to the lack of effective diagnostic biomarkers. Hepatocyte-specific miR-122 is released from injured hepatocytes promptly and its efflux is significantly correlated with the progression of DILI. Therefore, achieving precise in situ detection of miR-122 with high sensitivity is vital for early visualization of DILI. Herein, a new nanoprobe, consisting of miR-122 aptamer, upconversion nanoparticles (UCNPs) and Prussian blue nanoparticles (PBNPs) was introduced for the early and sensitive detection of DILI in situ. As the nanoprobes reached in the liver, miR-122 aptamer-based entropy-driven strand displacement (ESDR) signal amplification reaction was triggered and luminescence resonance energy transfer (LRET) between UCNPs and PBNPs was responded to achieve the high-fidelity detection of DILI. A negative correlation was observed between the intensity of upconversion luminescence (UCL) and the concentration of miR-122. UCL imaging conducted both in vivo and ex vivo indicated that a reduction in miR-122 concentration led to an increase in UCL intensity, revealing a precise state of DILI. The detection technique demonstrated a positive correlation between signal intensity and severity, offering a more straightforward and intuitive method of visualizing DILI.

An Exo III-powered closed-loop DNA circuit architecture for biosensing/imaging

With their regulated Boolean logic operations in vitro and in vivo, DNA logic circuits have shown great promise for target recognition and disease diagnosis. However, significant obstacles must be overcome to improve their operational efficiency and broaden their range of applications. In this study, we propose an Exo III-powered closed-loop DNA circuit (ECDC) architecture that integrates four highly efficient AND logic gates. The ECDC utilizes Exo III as the sole enzyme-activated actuator, simplifying the circuit design and ensuring optimal performance. Moreover, the use of Exo III enables a self-feedback (autocatalytic) mechanism in the dynamic switching between AND logic gates within this circulating logic circuit. After validating the signal flow and examining the impact of each AND logic gate on the regulation of the circuit, we demonstrate the intelligent determination of miR-21 using the carefully designed ECDC architecture in vitro. The proposed ECDC exhibits a linear detection range for miR-21 from 0 to 300 nM, with a limit of detection (LOD) of approximately 0.01 nM, surpassing most reported methods. It also shows excellent selectivity for miR-21 detection and holds potential for identifying and imaging live cancer cells. This study presents a practical and efficient strategy for monitoring various nucleic acid-based biomarkers in vitro and in vivo through specific sequence modifications, offering significant potential for early cancer diagnosis, bioanalysis, and prognostic clinical applications.

CRISPR/Cas13a-triggered entropy-driven amplification for colorimetric and fluorescent dual-mode detection of microRNA

MicroRNAs (miRNAs) are crucial biomarkers for the early detection and monitoring of disease progression of chronic obstructive pulmonary disease (COPD). Herein, we have devised a method for detecting miRNA using a combination of colorimetric and graphene oxide-based fluorescent techniques. The target miRNA in our design could precisely activate the trans-cleavage activity of the CRISPR-Cas13a system. The activated Cas13a enzyme cuts the "rUrU" section in the P1 probe, generating a nicking site to induce entropy-driven amplification (EDA). One of the available EDA products has the capability to unfold the hairpin probe, thereby initiating the catalytic hairpin assembly, exposing the G-quadruplex structure, facilitating the subsequent color response. The fuel strand labeled with Cy3 successfully established a double-stranded DNA structure with DNA3, and consequently the Cy3 would not be quenched by graphene oxide (GO). The implementation of the dual-mode technique in this method yields greater benefits in terms of improving the precision and consistency of the miRNA measurements. The developed method has the capability to fluorescently measure miRNA-21 levels down to a concentration of 5.8 fM. In addition, the analysis of miRNA targets from clinical samples using this method demonstrates its promising utility in the fields of biomedical research of COPD.

The Blueprint of Logical Decisions in a NF-κB Signaling System

Nearly identical cells can exhibit substantially different responses to the same stimulus that causes phenotype diversity. Such interplay between phenotype diversity and the architecture of regulatory circuits is crucial since it determines the state of a biological cell. Here, we theoretically analyze how the circuit blueprints of NF-κB in cellular environments are formed and their role in determining the cells' metabolic state. The NF-κB is a collective name for a developmental conserved family of five different transcription factors that can form homodimers or heterodimers and often promote DNA looping to reprogram the inflammatory gene response. The NF-κB controls many biological functions, including cellular differentiation, proliferation, migration, and survival. Our model shows that nuclear localization of NF-κB differentially promotes logic operations such as AND, NAND, NOR, and OR in its regulatory network. Through the quantitative thermodynamic model of transcriptional regulation and systematic variation of promoter-enhancer interaction modes, we can account for the origin of various logic gates as formed in the NF-κB system. We further show that the interconversion or switching of logic gates yielded under systematic variations of the stimuli activity and DNA looping parameters. Such computation occurs in regulatory and signaling pathways in individual cells at a molecular scale, which one can exploit to design a biomolecular computer.

An electrochemical biosensor designed with entropy-driven autocatalytic DNA circuits for sensitive detection of ovarian cancer-derived exosomes

Intelligent artificial DNA circuits have emerged as a promising approach for modulating signaling pathways and signal transduction through rational design, which may contribute to comprehensively realizing biomolecular sensing of organisms. In this work, we have fabricated an electrochemical biosensor for the sensitive and accurate detection of ovarian cancer-derived exosomes by constructing an entropy-driven autocatalytic DNA circuit (EADC). Specifically, the robust EADC is prepared by the self-assembly of well-designed DNA probes, and upon stimulation of the presence of ovarian cancer cells-derived exosomes, numerous inputs can be produced to feedback and accelerate the reaction. The catalytic abilities of the generated input sequences play a pivotal role in EADC and dramatically enhance the signal amplification capability. Through the combination of the autocatalytic circuit and circular cleavage reactions, significantly changed electrochemical signals can be recorded for sensitive analysis of the exosomes with a remarkably low detection limit of 30 particles/μL. Moreover, the proposed enzyme-free biosensor shows exceptional performance in distinguishing patient samples from healthy samples, which exhibits promising prospects for the clinical diagnosis of ovarian cancer.

Latent Toehold-Mediated DNA Circuits Based on a Bulge-Loop Structure for Leakage Reduction and Its Application to Signal-Amplifying DNA Logic Gates

DNA circuits based on successive toehold-mediated DNA displacement reactions, particularly entropy-driven DNA circuit (EDC) systems, have attracted considerable attention as powerful enzyme-free tools for dynamic DNA nanotechnology. However, background leakage (noise signal) often occurs when the circuit is executed nonspecifically, even in the absence of the appropriate catalyst DNA (input). This study designed and developed a new latent toehold-mediated DNA circuit (LDC) system that relies on a bulge-loop structure as a latent toehold toward leakage reduction. Furthermore, the number (size) of nucleotides (nt) in the bulge-loop is found to play a significant role in the performance (i.e., leakage, signal, and kinetics) of LDC systems. In fact, the signal rate for the LDC systems increased as the number of nt in the bulge-loop increased from 4 to 8, whereas the leakage rate of the LDC systems with bulge-loops of 7 nt or less was low, but the leakage rate of the LDC system with a bulge-loop of 8 nt increased significantly. Note that the LDC system with the optimal bulge-loop (7 nt) was capable of not only reducing the leakage but also accelerating the circuit speed without any signal loss, unlike methods of reducing the leakage by reducing the signal reported previously for the conventional EDC systems. These facts indicate that the 7 nt bulge-loop acts as a "latent" toehold for the DNA circuit system. By using the amplification function of output signals with an accelerated circuit and reduced leakage, our LDC system with a 7 nt bulge-loop could be applied directly and successfully to signal-amplifying DNA logic gates such as OR and AND gates, and thus, sufficient output signals could be obtained even with a small amount of input. These findings reveal that our LDC systems with a bulge-loop structure can replace the conventional EDC system and have enormous potential in the field of DNA nanotechnology.

Photoactivatable Engineering of CRISPR/Cas9-Inducible DNAzyme Probe for In Situ Imaging of Nuclear Zinc Ions

DNAzyme-based fluorescent probes for imaging metal ions in living cells have received much attention recently. However, employing in situ metal ions imaging within subcellular organelles, such as nucleus, remains a significant challenge. We developed a three-stranded DNAzyme probe (TSDP) that contained a 20-base-pair (20-bp) recognition site of a CRISPR/Cas9, which blocks the DNAzyme activity. When Cas9, with its specialized nuclear localization function, forms an active complex with sgRNA within the cell nucleus, it cleaves the TSDP at the recognition site, resulting in the in situ formation of catalytic DNAzyme structure. With this design, the CRISPR/Cas9-inducible imaging of nuclear Zn2+ is demonstrated in living cells. Moreover, the superiority of CRISPR-DNAzyme for spatiotemporal control imaging was demonstrated by integrating it with photoactivation strategy and Boolean logic gate for dynamic monitoring nuclear Zn2+ in both HeLa cells and mice. Collectively, this conceptual design expands the DNAzyme toolbox for visualizing nuclear metal ions and thus provides new analytical methods for nuclear metal-associated biology.

A nicking enzyme-assisted allosteric strategy for self-resetting DNA switching circuits

The self-regulation of biochemical reaction networks is crucial for maintaining balance, stability, and adaptability within biological systems. DNA switching circuits, serving as basic units, play essential roles in regulating pathways, facilitating signal transduction, and processing biochemical reaction networks. However, the non-reusability of DNA switching circuits hinders its application in current complex information processing. Herein, we proposed a nicking enzyme-assisted allosteric strategy for constructing self-resetting DNA switching circuits to realize complex information processing. This strategy utilizes the unique cleavage ability of the nicking enzyme to achieve the automatic restoration of states. Based on this strategy, we implemented a self-resetting DNA switch. By leveraging the reusability of the DNA switch, we constructed a DNA switching circuit with selective activation characteristics and further extended its functionality to include fan-out and fan-in processes by expanding the number of functional modules and connection modes. Furthermore, we demonstrated the complex information processing capabilities of these switching circuits by integrating recognition, translation, and decision functional modules, which could analyze and transmit multiple input signals and realize parallel logic operations. This strategy simplifies the design of switching circuits and promotes the future development of biosensing, molecular computing, and nanomachines.

Series or parallel toehold-mediated strand displacement and its application in circular RNA detection and logic gates

Toehold-mediated strand displacement (TMSD) is widely employed in constructing a wide range of chemical reaction networks. In TMSD, single-stranded DNA or RNA can fold back upon itself to form a local short double-strand structure often hindering bimolecular hybridization. Here, based on series and parallel circuits, we introduce two mechanisms: series toehold-mediated strand displacement (STMSD) and parallel toehold-mediated strand displacement (PTMSD). These mechanisms can be highly effective when the target area is blocked by a secondary structure. In addition, these systems allow regulating the reaction rates spanning three to five orders of magnitude by adjusting the length of the two toeholds with the added advantage of multifunctional regulation and selectivity. To demonstrate the impressive function of this approach, a logic operation system based on STMSD was constructed to simulate the signal processing of a half-adder. We believe that the introduction of series and parallel toeholds will provide design flexibility contributing to the development of molecular computers, molecular robotics, and DNA-based biosensors.

A Cationic Copolymer Enhances Responsiveness and Robustness of DNA Circuits

Toehold-mediated DNA circuits are extensively employed to construct diverse DNA nanodevices and signal amplifiers. However, operations of these circuits are slow and highly susceptive to molecular noise such as the interference from bystander DNA strands. Herein, this work investigates the effects of a series of cationic copolymers on DNA catalytic hairpin assembly, a representative toehold-mediated DNA circuit. One copolymer, poly(L -lysine)-graft-dextran, significantly enhances the reaction rate by 30-fold due to its electrostatic interaction with DNA. Moreover, the copolymer considerably alleviates the circuit's dependency on the length and GC content of toehold, thereby enhancing the robustness of circuit operation against molecular noise. The general effectiveness of poly(L -lysine)-graft-dextran is demonstrated through kinetic characterization of a DNA AND logic circuit. Therefore, use of a cationic copolymer is a versatile and efficient approach to enhance the operation rate and robustness of toehold-mediated DNA circuits, paving the way for more flexible design and broader application.

A Smart Deoxyribozyme-Programmable Catalytic DNA Circuit for High-Contrast MicroRNA Imaging

Synthetic catalytic DNA circuits have been recognized as a promising signal amplification toolbox for sensitive intracellular imaging, yet their selectivity and efficiency are always constrained by uncontrolled off-site signal leakage and inefficient on-site circuitry activation. Thus, the endogenously controllable on-site exposure/activation of DNA circuits is highly desirable for achieving the selective imaging of live cells. Herein, an endogenously activated DNAzyme strategy was facilely integrated with a catalytic DNA circuit for guiding the selective and efficient microRNA imaging in vivo. To prevent the off-site activation, the circuitry constitute was initially caged without sensing functions, which could be selectively liberated by DNAzyme amplifier to guarantee the high-contrast microRNA imaging in target cells. This intelligent on-site modulation strategy can tremendously expand these molecularly engineered circuits in biological systems.

Rational Design of Cascade DNA System for Signal Amplification

System leakage critically confines the development of cascade DNA systems that need to be implemented in a strict order-by-order manner. In principle, ternary DNA reactants, composed of three single-strand DNA (ssDNA) with a strict equimolar ratio (1:1:1), have been indispensable for successfully cascading upstream entropy-driven DNA circuit (EDC) with downstream circuits, and system leakage will occur with any unbalance of the molar ratio. In this work, we proposed "splitting-reconstruction" and "protection-release" strategies on the potential downstream circuit initiator derived from upstream EDC to guide the construction of EDC-involved cascade systems independent of system leakage derived from unpurified reactants. Both the reconstructed and released downstream circuit initiators were in compliance with the principle of the cascade AND logic gate. Using these two strategies, two cascade systems─EDC2-4WJ-TMSDR and EDC3-HCR─were developed to carry out the designed order, which did not require that the ratio of 1:1:1 be maintained. Furthermore, the inherent property of the upstream EDC could transfer into the downstream circuit, endowing the developed cascade systems with a more powerful signal amplification ability for the sensitive detection of the corresponding initiator strand. These two strategies may provide new insights into the process of constructing EDC-like circuit-involved high-order DNA networks.

Research Progress in Construction and Application of Enzyme-Based DNA Logic Gates

As a research hotspot in the field of information processing, DNA computing exhibits several important underlying characteristics-from parallel computing and low energy consumption to high-performance storage capabilities-thereby enabling its wide application in nanomachines, molecular encryption, biological detection, medical diagnosis, etc. Based on DNA computing, the most rapidly developed field focuses on DNA molecular logic-gates computing. In particular, the recent advances in enzyme-based DNA logic gates has emerged as ideal materials for constructing DNA logic gates. In this review, we explore protein enzymes that can manipulate DNA, especially, nicking enzymes and polymerases with high efficiency and specificity, which are widely used in constructing DNA logic gates, as well as ribozyme that can construct DNA logic gates following various mechanism with distinct biomaterials. Accordingly, the review highlights the characteristics and applications of various types of DNAzyme-based logic gates models, considering their future developments in information, biomedicine, chemistry, and computers.

Rapid Signal Amplification Based on Planetary Cross-Catalytic Hairpin Assembly Reactions

Non-enzymatic nucleic acid catalytic systems based on branch migration have been developed, with applications ranging from biological sensing to molecular computation. A scalable planetary cross-catalytic (PCC) system is built up in this work by cross-cascading three planetary catalytic hairpin assembly (CHA) reactions with a central three-arm-branched CHA reaction. With the bottom-up hierarchy strategy, we designed four levels of catalytic reactions, simple CHA reactions, two-layered linear cascades, conventional one-planetary PCC reactions, and two- and three-planetary PCC reactions, and examined the reaction products and intermediates in each level via native polyacrylamide gel electrophoresis. The gel shift assay optimized the designs of hairpin strands to keep the leaking reactions at a manageable level and protect against signal attenuation during serial signal transduction in nucleic acid circuits. The reaction kinetics, measured via fluorescence, are strongly dependent on the number of planetary reactions. As a result, the three-planetary PCC system achieved an exponential amplification factor of about 3^k, while the conventional one-planetary cross-catalytic system has an amplification factor of 2^k (k represents the cycling number). Finally, we demonstrated the rapid detection of a cancer biomarker, microRNA141, used as the catalyst in a two-planetary PCC system. We envision that the PCC systems could be applied in biological signal transduction, biocomputing, rapid detection of single- and multi-target nucleic acid probes, etc.

A renewable platform based on the entropy-driven catalytic amplification and element labeling inductively coupled plasma mass spectrometry for microRNA analysis

The element labeling inductively coupled plasma mass spectrometry (ICP-MS) strategy has been increasingly applied to the bioanalysis for various bio-targets. Herein, a renewable analysis platform with element labeling ICP-MS was firstly proposed for microRNA (miRNA) analysis. The analysis platform was established on the magnetic bead (MB) with entropy-driven catalytic (EDC) amplification. When the EDC reaction was initiated by target miRNA, numerous strands labeled with Ho element were released from MBs, and ¹⁶⁵Ho in the supernatant detected by ICP-MS could reflect the amount of target miRNA. After detection, the platform was easily regenerated by adding strands to reassemble EDC complex on MBs. This MB platform could be used four times, and the limit of detection for miRNA-155 was 8.4 pmol L^-1. Moreover, the developed regeneration strategy based on EDC reaction can be easily expanded to other renewable analysis platforms, such as, the renewable platform involving EDC and rolling circle amplification technology. Overall, this work proposed a novel regenerated bioanalysis strategy to reduce the consumption of reagent and time for probe preparation, profiting the development of bioassay based on element labeling ICP-MS strategy.

Electrochemical biosensors for analysis of DNA point mutations in cancer research

Cancer is a genetic disease induced by mutations in DNA, in particular point mutations in important driver genes that lead to protein malfunctioning and ultimately to tumorigenesis. Screening for the most common DNA point mutations, especially in such genes as TP53, BRCA1 and BRCA2, EGFR, KRAS, or BRAF, is crucial to determine predisposition risk for cancer or to predict response to therapy. In this review, we briefly depict how these genes are involved in cancer, followed by a description of the most common techniques routinely applied for their analysis, including high-throughput next-generation sequencing technology and less expensive low-throughput options, such as real-time PCR, restriction fragment length polymorphism, or high resolution melting analysis. We then introduce benefits of electrochemical biosensors as interesting alternatives to the standard methods in terms of cost, speed, and simplicity. We describe most common strategies involved in electrochemical biosensing of point mutations, relying mostly on PCR or isothermal amplification techniques, and critically discuss major challenges and obstacles that, until now, prevented their more widespread application in clinical settings.

Colorimetric aptasensor for fumonisin B1 detection based on the DNA tetrahedra-functionalized magnetic beads and DNA hydrogel-coated bimetallic MOFzyme

The toxicity and incidence of fumonisin B₁ (FB₁) pose a major challenge to public health and the environment, prompting the development of alternative quantitative strategies for FB₁. Herein, a colorimetric aptasensor was constructed based on DNA tetrahedra-functionalized magnetic beads (MBs) and DNA hydrogel-coated Mn-Zr bimetallic metal-organic frameworks-based nanozyme (MOFzyme). Initially, MBs functionalized by DNA tetrahedra demonstrated excellent capturing capability for FB₁. Along with the capture of FB₁, catalyst DNA (C) was released into the supernatant. Aided by fuel DNA (F), C can trigger continuous cleavage of the main chains and cross-linking points of the DNA hydrogel through an entropy-driven DNA circuit integrated into the hydrogel coating. Subsequently, the bimetallic MOFzyme encapsulated inside the DNA hydrogel was exposed and exerted its superb peroxidase-like activity, producing a colorimetric signal whose intensity was positively dependent on the amount of FB₁. The developed aptasensor exhibited good linearity in the range of 5 × 10^-4 to 50 ng mL^-1 with a limit of detection (LOD) of 0.38 pg mL^-1, and reasonable specificity in different matrices. Furthermore, the aptasensor was successfully applied to quantify FB₁ in actual samples with recoveries fell within 92.25 %- 108.00 %, showing its great potential in environmental monitoring and food safety.

Multiply Guaranteed and Successively Amplified Activation of a Catalytic DNA Machine for Highly Efficient Intracellular Imaging of MicroRNA

DNA amplification machines show great promise for intracellular imaging, yet are always constrained by off-site machinery activation or signal leakage, originating from the inherent thermodynamically driven hybridization between machinery substrates. Herein, an entropy-driven catalytic DNA amplification machine is integrated with the on-site amplified substrate exposure procedure to realize the high-contrast in vivo imaging of microRNA (miRNA). The key machinery substrate (fuel strands) is initially split into substrate subunits that are respectively grafted into an auxiliary DNA polymerization amplification accessory for eliminating the undesired signal leakage. Meanwhile, in target cells, the auxiliary polymerization accessory can be motivated by cell-specific mRNA for successively restoring their intact machine-propelling functions for guaranteeing the on-site amplified imaging of miRNA with high specificity. This intelligent on-site multiply guaranteed machinery can improve the specificity of catalytic DNA machines for discriminating different cell types and, thus, can provide a remarkable prospect in biomedical diagnosis.

An Autocatalytic DNA Circuit Based on Hybridization Chain Assembly for Intracellular Imaging of Polynucleotide Kinase

Polynucleotide kinase (PNK) plays an essential role in various cellular events by regulating phosphorylation processes, and abnormal homeostasis of PNK could cause many human diseases. Herein, we proposed an autocatalytic hybridization system (AHS) through the elaborate integration of hybridization chain assembly (HCA) and catalytic DNA assembly (CDA) that enables a highly efficient positive feedback amplification. The PNK-targeting AHS biosensor is composed of three modules: a recognition module, an HCA amplification module, and a CDA autocatalytic module. In the presence of PNK, the recognition module could transform the PNK input into an exposed nucleic acid initiator (I). Then the initiator strand I could trigger the autonomous HCA process in the amplification module, and the resulted HCA products could reassemble the split CDA trigger strand T, subsequently inducing the CDA process in the autocatalytic module to form abundant DNA duplex products. Consequently, the embedded initiator strand I was liberated from the CDA duplex product to autonomously trigger the new rounds of HCA circuit. The rational integration and cooperative cross-activation between the HCA and CDA module could prominently accelerate the reaction and realize the exponential amplification efficiency by initiator regeneration. As a result, the self-sustainable AHS amplifier could implement the sensitive detection of PNK in vitro and in biological samples and further fulfill accurate monitoring of the intracellular PNK activity and the effective screening of PNK inhibitors. This work paves a way for exploiting highly efficient artificial DNA circuits to analyze low-abundance biomarkers, holding great potential in biochemical research and clinical diagnosis.

Development of Enzyme-Free DNA Amplifier Based on Chain Reaction Principle

Enzyme-free DNA amplifiers can amplify the signal of nucleic acid molecules. They can be applied to DNA molecular operation and nucleic acid detection. The reaction speed is the core index to evaluate DNA amplifiers. In this study, we designed a DNA amplifier based on an enzyme-free chain reaction. This DNA amplifier can release one more signal molecule in each round of reaction and trigger the next round, which significantly improved reaction speed. Moreover, because the amplifier used a stable DNA structure, the reaction can occur at room temperature. To integrate the amplifier into other DNA molecular operations, we performed the amplification reaction in a microfluidic chip module. The results showed that the amplifier can realize real-time signal feedback at a proper input molecule concentration and reach the endpoint in 40 s, even at a low relative concentration. To apply the amplifier for nucleic acid detection, we also used a conventional fluorescent polymerase chain reaction instrument for the reaction. The results showed that the amplifier specifically detected trace DNA single-stranded molecules. To solve the leakage problem of existing amplifiers, we designed a DNA molecule as the chain reaction's inhibitor, which was crucial in controlling the reaction speed and preventing leakage. STATEMENT OF SIGNIFICANCE: Traditional amplifier strategies of enzyme-free DNA amplifiers relied on a constant number of cycling molecules to catalyze the amplifier molecules' changing structure and release fluorescent signals, which lead low reaction speed. Based on an enzyme-free chain reaction, we designed a DNA amplifier which can release one more cycling molecule in each loop and trigger the next loop and significantly improve reaction speed in this study. Our analysis on microfluidic chip module and PCR instrument verifies high sensitivity and selectivity. And this strategy of DNA amplifier realizes the control of reaction and prevents leakage. We believe that this automated amplification strategy could have great applications in vivo signal detection, imaging, and signal molecule translation.

Catalyst-Based Biomolecular Logic Gates

Regulatory processes in biology can be re-conceptualized in terms of logic gates, analogous to those in computer science. Frequently, biological systems need to respond to multiple, sometimes conflicting, inputs to provide the correct output. The language of logic gates can then be used to model complex signal transduction and metabolic processes. Advances in synthetic biology in turn can be used to construct new logic gates, which find a variety of biotechnology applications including in the production of high value chemicals, biosensing, and drug delivery. In this review, we focus on advances in the construction of logic gates that take advantage of biological catalysts, including both protein-based and nucleic acid-based enzymes. These catalyst-based biomolecular logic gates can read a variety of molecular inputs and provide chemical, optical, and electrical outputs, allowing them to interface with other types of biomolecular logic gates or even extend to inorganic systems. Continued advances in molecular modeling and engineering will facilitate the construction of new logic gates, further expanding the utility of biomolecular computing.

Construction of Multiple Logic Circuits Based on Allosteric DNAzymes

In DNA computing, the implementation of complex and stable logic operations in a universal system is a critical challenge. It is necessary to develop a system with complex logic functions based on a simple mechanism. Here, the strategy to control the secondary structure of assembled DNAzymes’ conserved domain is adopted to regulate the activity of DNAzymes and avoid the generation of four-way junctions, and makes it possible to implement basic logic gates and their cascade circuits in the same system. In addition, the purpose of threshold control achieved by the allosteric secondary structure implements a three-input DNA voter with one-vote veto function. The scalability of the system can be remarkably improved by adjusting the threshold to implement a DNA voter with 2n + 1 inputs. The proposed strategy provides a feasible idea for constructing more complex DNA circuits and a highly integrated computing system.

Constructing DNA logic circuits based on the toehold preemption mechanism

Strand displacement technology and ribozyme digestion technology have enriched the intelligent toolbox of molecular computing and provided more methods for the construction of DNA logic circuits. In recent years, DNA logic circuits have developed rapidly, and their scalability and accuracy in molecular computing and information processing have been fully demonstrated. However, existing DNA logic circuits still have some problems such as high complexity of DNA strands (number of DNA strands) hindering the expansion of practical computing tasks. In view of the above problems, we presented a toehold preemption mechanism and applied it to construct DNA logic circuits using E6-type DNAzymes, such as half adder circuit, half subtractor circuit, and 4-bit square root logic circuit. Different from the dual-track logic expressions, all the signals in the circuits of this study were monorail which substantially reduced the number of DNA strands in the DNA logic circuits. The presented preemption mechanism provides a way to simplify the implementation of large and complex DNA integrated circuits.

DNA Matrix Operation Based on the Mechanism of the DNAzyme Binding to Auxiliary Strands to Cleave the Substrate

Numerical computation is a focus of DNA computing, and matrix operations are among the most basic and frequently used operations in numerical computation. As an important computing tool, matrix operations are often used to deal with intensive computing tasks. During calculation, the speed and accuracy of matrix operations directly affect the performance of the entire computing system. Therefore, it is important to find a way to perform matrix calculations that can ensure the speed of calculations and improve the accuracy. This paper proposes a DNA matrix operation method based on the mechanism of the DNAzyme binding to auxiliary strands to cleave the substrate. In this mechanism, the DNAzyme binding substrate requires the connection of two auxiliary strands. Without any of the two auxiliary strands, the DNAzyme does not cleave the substrate. Based on this mechanism, the multiplication operation of two matrices is realized; the two types of auxiliary strands are used as elements of the two matrices, to participate in the operation, and then are combined with the DNAzyme to cut the substrate and output the result of the matrix operation. This research provides a new method of matrix operations and provides ideas for more complex computing systems.

Nucleic acid-based molecular computation heads towards cellular applications

Nucleic acids, with the advantages of programmability and biocompatibility, have been widely used to design different kinds of novel biocomputing devices. Recently, nucleic acid-based molecular computing has shown promise in making the leap from the test tube to the cell. Such molecular computing can perform logic analysis within the confines of the cellular milieu with programmable modulation of biological functions at the molecular level. In this review, we summarize the development of nucleic acid-based biocomputing devices that are rationally designed and chemically synthesized, highlighting the ability of nucleic acid-based molecular computing to achieve cellular applications in sensing, imaging, biomedicine, and bioengineering. Then we discuss the future challenges and opportunities for cellular and in vivo applications. We expect this review to inspire innovative work on constructing nucleic acid-based biocomputing to achieve the goal of precisely rewiring, even reconstructing cellular signal networks in a prescribed way.

Metal-Organic Framework Nanoparticles Power DNAzyme Logic Circuits for Aberrant MicroRNA Imaging

At the molecular level, a large number of studies exist on the use of dynamic DNA molecular circuits for disease diagnosis and biomedicine. However, how to design programmable molecular circuit devices to autonomously and accurately diagnose multiple low-abundance biomolecules in complex cellular environments remains a challenge. Here, we constructed DNAzyme logic circuits for the analysis and imaging of multiple microRNAs in living cells using Cu/ZIF-8 NPs as a nanocarrier of the logic gate modules and the Cu²⁺ cofactor of the Cu²⁺-dependent DNAzyme. The logic gate modules of the logic operation system were adsorbed on the surface of Cu/ZIF-8 NPs via electrostatic interaction. After internalization, pH-responsive Cu/ZIF-8 NPs could efficiently release the logic gate modules and Cu²⁺, which allowed us to realize multiple logic computations initiated by endogenous miRNA, including one YES logic gate and two binary logic gates (OR and AND) in different living cells. Cu²⁺-DNAzyme logic circuits could quickly respond to multiple endogenous miRNAs in the complex cell environment, which also provided a new research method for the application of DNA biocomputing circuits in living cells.

Development of Synthetic DNA Circuit and Networks for Molecular Information Processing

Deoxyribonucleic acid (DNA), a genetic material, encodes all living information and living characteristics, e.g., in cell, DNA signaling circuits control the transcription activities of specific genes. In recent years, various DNA circuits have been developed to implement a wide range of signaling and for regulating gene network functions. In particular, a synthetic DNA circuit, with a programmable design and easy construction, has become a crucial method through which to simulate and regulate DNA signaling networks. Importantly, the construction of a hierarchical DNA circuit provides a useful tool for regulating gene networks and for processing molecular information. Moreover, via their robust and modular properties, DNA circuits can amplify weak signals and establish programmable cascade systems, which are particularly suitable for the applications of biosensing and detecting. Furthermore, a biological enzyme can also be used to provide diverse circuit regulation elements. Currently, studies regarding the mechanisms and applications of synthetic DNA circuit are important for the establishment of more advanced artificial gene regulation systems and intelligent molecular sensing tools. We therefore summarize recent relevant research progress, contributing to the development of nanotechnology-based synthetic DNA circuits. By summarizing the current highlights and the development of synthetic DNA circuits, this paper provides additional insights for future DNA circuit development and provides a foundation for the construction of more advanced DNA circuits.

Solving 0-1 Integer Programming Problem Based on DNA Strand Displacement Reaction Network

Chemical reaction networks (CRNs) based on DNA strand displacement (DSD) can be used as an effective programming language for solving various mathematical problems. In this paper, we design three chemical reaction modules by using the DNA strand displacement reaction as the basic principle, with a weighted reaction module, sum reaction module, and threshold reaction module. These modules are used as basic elements to form chemical reaction networks that can be used to solve 0-1 integer programming problems. The problem can be solved through the three steps of weighting, sum, and threshold, and then the results of the operations can be expressed through a single-stranded DNA output with fluorescent molecules. Finally, we use biochemical experiments and Visual DSD simulation software to verify and evaluate the chemical reaction networks. The results have shown that the DSD-based chemical reaction networks constructed in this paper have good feasibility and stability.

Multifunctional Clip Strand for the Regulation of DNA Strand Displacement and Construction of Complex DNA Nanodevices

Strand displacement reactions are important bricks for the construction of various DNA nanodevices, among which the toehold-mediated strand displacement reaction is the most prevalently adopted. However, only a limited number of tools could be used to finely regulate the toehold reaction, thus restricting DNA nanodevices from being more multifunctional and powerful. Herein, we developed a regulation tool, Clip, and achieved multiple regulatory functions, including subtle adjustment of the reaction rates, allosteric strand displacement, selective activation, and resetting of the reaction. Taking advantages of the multiple functions, we constructed Clip-toehold-based DNA walking machines. They showed behaviors of controllable walking, concatenation, and programmable pathways. Furthermore, we built Clip-toehold-based AND and OR logic gates and integrated those logic gates to construct multilayer circuits, which could be reset and reused to process different input signals. We believe that the proposed Clip tool has expanded the functionality of DNA strand displacement-based nanodevices to a much more complex and diverse level and anticipate that the tool will be widely adopted in DNA nanotechnology.

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.

Development of a neuron model based on DNAzyme regulation

Neural networks based on DNA molecular circuits play an important role in molecular information processing and artificial intelligence systems. In fact, some DNA molecular systems can become dynamic units with the assistance of DNAzymes. The complex DNA circuits can spontaneously induce corresponding feedback behaviors when their inputs changed. However, most of the reported DNA neural networks have been implemented by the toehold-mediated strand displacement (TMSD) method. Therefore, it was important to develop a method to build a neural network utilizing the TMSD mechanism and adding a mechanism to account for modulation by DNAzymes. In this study, we designed a model of a DNA neuron controlled by DNAzymes. We proposed an approach based on the DNAzyme modulation of neuronal function, combing two reaction mechanisms: DNAzyme digestion and TMSD. Using the DNAzyme adjustment, each component simulating the characteristics of neurons was constructed. By altering the input and weight of the neuron model, we verified the correctness of the computational function of the neurons. Furthermore, in order to verify the application potential of the neurons in specific functions, a voting machine was successfully implemented. The proposed neuron model regulated by DNAzymes was simple to construct and possesses strong scalability, having great potential for use in the construction of large neural networks.

Monodirectional Tissue P Systems With Promoters

Tissue P systems with promoters provide nondeterministic parallel bioinspired devices that evolve by the interchange of objects between regions, determined by the existence of some special objects called promoters. However, in cellular biology, the movement of molecules across a membrane is transported from high to low concentration. Inspired by this biological fact, in this article, an interesting type of tissue P systems, called monodirectional tissue P systems with promoters, where communication happens between two regions only in one direction, is considered. Results show that finite sets of numbers are produced by such P systems with one cell, using any length of symport rules or with any number of cells, using a maximal length 1 of symport rules, and working in the maximally parallel mode. Monodirectional tissue P systems are Turing universal with two cells, a maximal length 2, and at most one promoter for each symport rule, and working in the maximally parallel mode or with three cells, a maximal length 1, and at most one promoter for each symport rule, and working in the flat maximally parallel mode. We also prove that monodirectional tissue P systems with two cells, a maximal length 1, and at most one promoter for each symport rule (under certain restrictive conditions) working in the flat maximally parallel mode characterizes regular sets of natural numbers. Besides, the computational efficiency of monodirectional tissue P systems with promoters is analyzed when cell division rules are incorporated. Different uniform solutions to the Boolean satisfiability problem (SAT problem) are provided. These results show that with the restrictive condition of "monodirectionality," monodirectional tissue P systems with promoters are still computationally powerful. With the powerful computational power, developing membrane algorithms for monodirectional tissue P systems with promoters is potentially exploitable.

An enzyme-free fluorescent biosensor for highly sensitive detection of carcinoembryonic antigen based on aptamer-induced entropy-driven circuit

Carcinoembryonic antigen (CEA) is a disease biomarker, which can reflect the existence of tumors. The accurate detection of CEA in clinical samples is highly valuable for diagnosis of tumors. Herein, we developed an enzyme-free fluorescent biosensor for highly sensitive detection of CEA based on an aptamer-induced entropy-driven circuit. The aptamer hairpin specifically bound to CEA to expose the locked domain. Then, the exposed domain could trigger disassembly of multiple fluorophore strands from the three-strand complexes with the aid of fuel strands, leading to the production of remarkable amplified fluorescent signals. The one-step and homogeneous method exhibited high specificity and a wide linear range from 10 pg mL^-1 to 500 ng mL^-1 with a low limit of detection of 4.2 pg mL^-1. What's more, the whole detection process could be performed within 45 min and did not involve the use of any protein enzymes and antibodies. The developed strategy could also be applied to detect CEA in clinical samples with satisfactory results. Therefore, the strategy is an alternative sensing method for the detection of CEA.

Construction of a simple and intelligent DNA-based computing system for multiplexing logic operations

Over the past few decades, DNA-based computing technology has become a rapidly developing technology and shown remarkable capabilities in handling complex computational problems. However, most of the logical operations that DNA computer can achieve are still very basic or using large-scale operations to realize complex functions, especially in mathematics. Graphene oxide (GO) is an ideal nanomaterial for biological computing, which has been used in our previous work to perform basic logic operations. Here, we utilize GO to implement far more complex and large-scale logical computing. For the first time, in this work, we utilize the unique interaction between GO and a variety of classified single-stranded DNAs as the reaction platform, by segmenting and encoding the DNA sequences, and programming the interactions between inputs and between the inputs and reaction platform, two relative large-scale logic operations, 6-bit square-root and 9-bit cube-root logical circuits are realized. This study provides a simple but efficient method for advanced and large-scale logical mathematic operations in biotechnology, opening a new horizon for building biocomputer-based innovative functional devices.

DNA Computing Model for Satisfiability Problem Based on Hybridization Chain Reaction

Satisfiability problem is a famous nondeterministic polynomial-time complete (NP-complete) problem, which has always been a hotspot in artificial intelligence. In this paper, by combining the advantages of DNA origami with hybridization chain reaction, a computing model was proposed to solve the satisfiability problem. For each clause in the given formula, a DNA origami device was devised. The device corresponding to the clause was capable of searching for assignments that satisfied the clause. When all devices completed the search in parallel, the intersection of these satisfying assignments found must satisfy all the clauses. Therefore, whether the given formula is satisfiable or not was decided. The simulation results demonstrated that the proposed computing model was feasible. Our work showed the capability of DNA origami in architecting automatic computing device. The paper proposed a novel method for designing functional nanoscale devices based on DNA origami.

A DNAzyme-mediated logic gate system based on Ag(I)-cysteine

Ag+ plays an important role in DNA mismatch technology due to its affinity for cytosine in DNA. This article introduces a strategy to control the enzyme digesting reaction by utilizing the characteristics of C-Ag+-C mismatches, effectively regulating and controlling the activity of the E6 DNAzyme via changing the structure of its conservative domain. We designed a series of basic logic gates, a "Yes" Gate, an "Or" Gate and an "Inhibit" Gate. Cysteine (Cys) can combine with Ag+, reducing the concentration of Ag+ in solution, thus restraining the C-Ag+-C mismatch effect. Based on this principle, we regard Cys as a threshold, and designed a type of "Inhibit" Gate based on input quantity by changing the concentration of Ag+, thus generating different statues of logic output. On this basis, the E6 DNAzyme and Ag10c DNAzyme can be integrated into new systems with the function of logic operation circuit based on the control of Ag+ concentration in solution. This system could represent three different states of logical expression by controlling the quantity of Ag+ and Cys.

Rapid and colorimetric detection of nucleic acids based on entropy-driven circuit and DNAzyme-mediated autocatalytic reactions

In this work, a novel, rapid and enzyme-free colorimetric biosensor for the detection of nucleic acids has been developed based on entropy-driven (EDC) circuit and DNAzyme-mediated autocatalytic reactions. On sensing the target DNA, the EDC reaction could be initiated and the intact Mg2+-dependent DNAzyme was formed in the reaction product; then, a "mimic target" DNA was generated during the cleavage process of DNAzyme, which in turn catalyzed the EDC reaction corresponding to an autocatalytic process. Meanwhile, numerous G-quadruplex structures were released and further interacted with hemin to form peroxidase-mimicking DNAzyme, inducing a remarkably amplified colorimetric signal. This autocatalytic EDC (AEDC) sensing system exhibited a linear relationship in the range from 20 pM to 10 nM with a detection limit of 10.2 pM. More importantly, benefitting from the Mg2+-dependent DNAzyme-mediated autocatalytic reaction, the detection time (20 min) was significantly reduced compared to that for the reported EDC strategies. In addition, this sensing system has been applied for the detection of target DNA in human serum samples, indicating that it is promising for the on-site and real-time detection of nucleic acids in biomedical research and disease diagnosis.

Digital Sensing and Molecular Computation by an Enzyme-Free DNA Circuit

DNA circuits form the basis of programmable molecular systems capable of signal transduction and algorithmic computation. Some classes of molecular programs, such as catalyzed hairpin assembly, enable isothermal, enzyme-free signal amplification. However, current detection limits in DNA amplification circuits are modest, as sensitivity is inhibited by signal leakage resulting from noncatalyzed background reactions inherent to the noncovalent system. Here, we overcome this challenge by optimizing a catalyzed hairpin assembly for single-molecule sensing in a digital droplet assay. Furthermore, we demonstrate digital reporting of DNA computation at the single-molecule level by employing ddCHA as a signal transducer for simple DNA logic gates. By facilitating signal transduction of molecular computation at pM concentration, our approach can improve processing density by a factor of 10⁴ relative to conventional DNA logic gates. More broadly, we believe that digital molecular computing will broaden the scope and efficacy of isothermal amplification circuits within DNA computing, biosensing, and signal amplification in general.

Three-Variable Chaotic Oscillatory System Based on DNA Strand Displacement and Its Coupling Combination Synchronization

The synchronization control of two chaotic oscillatory systems is designed based on DNA strand displacement in the present work. Thus, combination synchronization of three 3-variable chaotic oscillatory systems is proposed based on DNA strand displacement. Firstly, five chemical reaction modules of double, displacement, adjustment, catalysis and degradation are designed. Based on these five modules, a 3-variable chaotic oscillatory system is designed. Secondly, based on the design principle of coupling terms and theory of stability, synchronization modules and coupling terms are added to three chaotic oscillatory systems to design combination synchronization of three 3-variable chaotic oscillatory systems based on DNA strand displacement. Modules and systems are implemented and tested using visual DSD and Matlab, and the simulation results are presented to demonstrate the effectiveness and correctness of the chemical reaction modules and systems. The combination synchronization of three 3-variable chaotic oscillatory systems is proposed based on DNA strand displacement, which may be extended to the reaction networks of DNA strand displacement and to the combination synchronization of multivariable chaotic oscillatory systems based on DNA strand displacement.

DNA circuits driven by conformational changes in DNAzyme recognition arms

DNA computing plays an important role in nanotechnology due to the unique programmability and parallelism of DNA molecules. As an important tool to realize DNA computation, various logic computing devices have great application potential. The application of DNAzyme makes the achievements in the field of logical computing more diverse. In order to improve the efficiency of the logical units run by DNAzyme, we proposed a strategy to regulate the DNA circuit by the conformational change of the E6-type DNAzyme recognition arms driven by Mg2+. This strategy changes the single mode of DNAzyme signal transmission, extends the functions of E6-type DNAzyme, and saves the time of signal transmission in the molecular scale. To verify the feasibility of this strategy, first, we constructed DNA logic gates (YES, OR, and AND). Second, we cascade different logic gates (YES-YES, YES-AND) to prove the scalability. Finally, a self-catalytic DNA circuit is established. Through the experimental results, we verified that this DNAzyme regulation strategy relatively reduces the cost of logic circuits to some extent and significantly increases the reaction rate, and can also be used to indicate the range of Mg2+ concentrations. This research strategy provides new thinking for logical computing and explores new directions for detection and biosensors.