Strand Displacement Strategies for Biosensor Applications

Rapid one-pot isothermal amplification reassembled of fluorescent RNA aptamer for SARS-CoV-2 detection

The outbreak of SARS-CoV-2 poses a serious threat to human life and health. A rapid nucleic acid tests can effectively curb the spread of the disease. With the advantages of fluorescent RNA aptamers, low background and high sensitivity. A variety of fluorescent RNA aptamer sensors have been developed for the detection of nucleic acid. Here, we report a hypersensitive detection platform in which SARS-CoV-2 initiates RTF-EXPAR to amplify trigger fragments. This activation leads to the reassembled of the SRB2 fluorescent RNA aptamer, restoring its secondary structure for SR-DN binding and turn-on fluorescence. The platform completes the assay in 30 min and all reactions occur in one tube. The detection limit is as low as 116 aM. Significantly, the platform's quantitative analyses were almost identical to qPCR results in simulated tests of positive samples. In conclusion, the platform is sensitive, accurate and provides a new protocol for point-of-care testing of viruses.

Pushing Forward the DNA Walkers in Connection with Tumor-Derived Extracellular Vesicles

Extracellular vesicles (EVs) are microparticles released from cells in both physiological and pathological conditions and could be used to monitor the progression of various pathological states, including neoplastic diseases. In various EVs, tumor-derived extracellular vesicles (TEVs) are secreted by different tumor cells and are abundant in many molecular components, such as proteins, nucleic acids, lipids, and carbohydrates. TEVs play a crucial role in forming and advancing various cancer processes. Therefore, TEVs are regarded as promising biomarkers for the early detection of cancer in liquid biopsy. However, the currently developed TEV detection methods still face several key scientific problems that need to be solved, such as low sensitivity, poor specificity, and poor accuracy. To overcome these limitations, DNA walkers have emerged as one of the most popular nanodevices that exhibit better signal amplification capability and enable highly sensitive and specific detection of the analytes. Due to their unique properties of high directionality, flexibility, and efficiency, DNA walkers hold great potential for detecting TEVs. This paper provides an introduction to EVs and DNA walker, additionally, it summarizes recent advances in DNA walker-based detection of TEVs (2018-2024). The review highlights the close relationship between TEVs and DNA walkers, aims to offer valuable insights into TEV detection and to inspire the development of reliable, efficient, simple, and innovative methods for detecting TEVs based on DNA walker in the future.

Isothermal strand displacement polymerase reaction (ISDPR)-assisted microchip electrophoresis for highly sensitive detection of cancer associated microRNAs

More and more studies have found that microRNAs (miRNAs) are markers of cancer, and detection of miRNAs is beneficial for early diagnosis and prognosis of cancer. In this paper, the isothermal strand displacement polymerase reaction (ISDPR), which is an enzyme-assisted nucleic acid amplification method, was studied to combine with microchip electrophoresis (MCE) for a simultaneously detection of two cancer related miRNAs named microRNA-21 (miR-21) and microRNA-221 (miR-221). In the ISDPR amplification, two different DNA hairpins (HPs) were specifically designed, so that miR-21 and miR-221 could respectively bind to HPs and started ISDPR amplification to generate two different products which were ultimately detected by MCE. The optimal conditions of ISDPR were carefully investigated, and the limits of detection (LOD) of miR-21 and miR-221 were as low as 0.35 fM and 0.25 fM (S/N = 3) respectively under these conditions. The human lung tumor cells and serum samples were analyzed by this ISDPR-MCE method and satisfactory results were obtained, which means that this method is of high sensitivity, high efficiency, low reagent consumption and simple operation in miRNAs detection.

PAM-Engineered Toehold Switches as Input-Responsive Activators of CRISPR-Cas12a for Sensing Applications

The RNA-programmed CRISPR effector protein Cas12a has emerged as a powerful tool for gene editing and molecular diagnostics. However, additional bio-engineering strategies are required to achieve control over Cas12a activity. Here, we show that Toehold Switch DNA hairpins, presenting a rationally designed locked protospacer adjacent motif (PAM) in the loop, can be used to control Cas12a in response to molecular inputs. Reconfiguring the Toehold Switch DNA from a hairpin to a duplex conformation through a strand displacement reaction provides an effective means to modulate the accessibility of the PAM, thereby controlling the binding and cleavage activities of Cas12a. Through this approach, we showcase the potential to trigger downstream Cas12a activity by leveraging proximity-based strand displacement reactions in response to target binding. By utilizing the trans-cleavage activity of Cas12a as a signal transduction method, we demonstrate the versatility of our approach for sensing applications. Our system enables rapid, one-pot detection of IgG antibodies and small molecules with high sensitivity and specificity even within complex matrices. Besides the bioanalytical applications, the switchable PAM-engineered Toehold Switches serve as programmable tools capable of regulating Cas12a-based targeting and DNA processing in response to molecular inputs and hold promise for a wide array of biotechnological applications.

Exploiting the design of surface plasmon resonance interfaces for better diagnostics: A perspective review

Surface Plasmon Resonance based-sensors are promising tools for precision diagnostics as they can provide tests useful for early and, whenever possible, non-invasive disease detection and monitoring. The design of novel, robust and effective interfaces enabling the sensing of a variety of molecular interactions in a highly selective and sensitive manner is a necessary step to obtain both accurate and reliable detection by SPR. This review covers the recent research efforts in this area, specifically emphasizing well-designed interfaces and applications in real-life samples. In particular, after a short introduction which identifies some of the critical challenges, the emerging strategies for the integration of the linker, the metal substrate and the recognition element on the sensing interface will be explored and discussed in three sections, as well as the opportunities for building SPR biosensors, easy to use, and with excellent sensitivities. Finally, a summary of some of the more promising and latest diagnostic applications will be provided, presenting a new window into the near-future perspectives.

Nano-matrixes propped self-enhanced electrochemiluminescence biosensor for microRNA detection

MicroRNAs (miRNA) are the potential biomarker for breast cancer, a biosensor for detecting miRNA-21 was successfully prepared by covalently linking carbohydrazide (CON4H6) and tris (4,4 '- dicarboxylic acid-2,2' - bipyridyl) ruthenium dichloride (Ru (dcbpy)32+) as a self-enhanced emitter (Ru-CON4H6). The biosensor was prepared by coating the electrode with mesoporous silica encapsulated Ru-CON4H6 as luminophores (RMSNs) to covalently link a couple of DNA strands (Q1-H2). The RMSNs coated electrode exhibited strong ECL emission due to the intramolecular electron transfer between the electrochemically oxidized Ru (dcbpy)32+ and co-reactant CON4H6. In the presence of target miRNA-21 and an assistant hairpin H1, H2 could be released from the surface through a strand displacement reaction (SDR), and the reserved Q1 could form G-quadruplex upon the addition of K+. The formed G-quadruplex then interacted with Q2-Fc in the presence of Mg2+ to form a DNA complex on the biosensor surface, which quenched the nano-matrixes propped self-enhanced ECL emission through the electron exchange between Fc and electrode or oxidized ECL intermediates. Under optimal conditions, the ECL decrease showed a correlation with target concentration, leading to a biosensing method for sensitive detection of miRNA-21. The proposed ECL method demonstrated a detectable concentration range from 0.1 fM to 1 nM along with a detection limit of 0.03 fM, good accuracy, and acceptable reproducibility, showing that the self-enhanced ECL biosensing strategy supported by nano-matrix provided a new way for the ultrasensitive detection of miRNA, and promoted the development of breast cancer diagnosis.

Genetically encoded ATP and NAD(P)H biosensors: potential tools in metabolic engineering

To date, many metabolic engineering tools and strategies have been developed, including tools for cofactor engineering, which is a common strategy for bioproduct synthesis. Cofactor engineering is used for the regulation of pyridine nucleotides, including NADH/NAD+ and NADPH/NADP+, and adenosine triphosphate/adenosine diphosphate (ATP/ADP), which is crucial for maintaining redox and energy balance. However, the intracellular levels of NADH/NAD+, NADPH/NADP+, and ATP/ADP cannot be monitored in real time using traditional methods. Recently, many biosensors for detecting, monitoring, and regulating the intracellular levels of NADH/NAD+, NADPH/NADP+, and ATP/ADP have been developed. Although cofactor biosensors have been mainly developed for use in mammalian cells, the potential application of cofactor biosensors in metabolic engineering in bacterial and yeast cells has received recent attention. Coupling cofactor biosensors with genetic circuits is a promising strategy in metabolic engineering for optimizing the production of biochemicals. In this review, we focus on the development of biosensors for NADH/NAD+, NADPH/NADP+, and ATP/ADP and the potential application of these biosensors in metabolic engineering. We also provide critical perspectives, identify current research challenges, and provide guidance for future research in this promising field.

Proximity-Driven DNA Nanosensors

In proximity-driven sensing, interactions between a probe and an analyte produce a detectable signal by causing a change in distance of two probe components or signaling moieties. By interfacing such systems with DNA-based nanostructures, platforms that are highly sensitive, specific, and programmable can be designed. In this Perspective, we delineate the advantages of using DNA building blocks in proximity-driven nanosensors and provide an overview of recent progress in the field, from sensors that rapidly detect pesticides in food to probes that identify rare cancer cells in blood. We also discuss current challenges and identify key areas that need further development.

Conversion to Trimolecular G-Quadruplex by Spontaneous Hoogsteen Pairing-Based Strand Displacement Reaction between Bimolecular G-Quadruplex and Double G-Rich Probes

Bimolecular or tetramolecular G-quadruplexes (GQs) are predominantly self-assembled by the same sequence-identical G-rich oligonucleotides and usually remain inert to the strand displacement reaction (SDR) with other short G-rich invading fragments of DNA or RNA. Appealingly, in this study, we demonstrate that a parallel homomeric bimolecular GQ target of Tub10 d(CAGGGAGGGT) as the starting reactant, although completely folded in K+ solution and sufficiently stable (melting temperature of 57.7 °C), can still spontaneously accept strand invasion by a pair of short G-rich invading probes of P1 d(TGGGA) near room temperature. The final SDR product is a novel parallel heteromeric trimolecular GQ (tri-GQ) of Tub10/2P1 reassembled between one Tub10 strand and two P1 strands. Here we present, to the best of our knowledge, the first NMR solution structure of such a discrete heteromeric tri-GQ and unveil a unique mode of two probes vs one target in mutual recognition among G-rich canonical DNA oligomers. As a model system, the short invading probe P1 can spontaneously trap G-rich target Tub10 from a Watson-Crick duplex completely hybridized between Tub10 and its fully complementary strand d(ACCCTCCCTG). The Tub10 sequence of d(CAGGGAGGGT) is a fragment from the G-rich promoter region of the human β2-tubulin gene. Our findings provide new insights into the Hoogsteen pairing-based SDR between a GQ target and double invading probes of short G-rich DNA fragments and are expected to grant access to increasingly complex architectures in GQ-based DNA nanotechnology.

Rapid Detection of SARS-CoV-2 Genetic Targets Using Nanoporous Waveguide Based Competitive Displacement Assay

Rapid detection of unlabeled SARS-CoV-2 genetic target was demonstrated using a competitive displacement hybridization assay made by a nanostructured anodized alumina oxide (AAO) membrane. The assay applied the toehold-mediated strand displacement reaction. The nanoporous surface of the membrane was functionalized with a complementary pair consisting of Cy3-labeled probe and quencher-labeled nucleic acids through a chemical immobilization process. In the presence of the unlabeled SARS-CoV-2 target, the quencher-tagged strand of the immobilized probe-quencher duplex was separated from the Cy3-modifed strand. A stable probe-target duplex formed and regained a strong fluorescence signal, thus enabling real-time and label-free SARS-CoV-2 detection. Assay designs with different numbers of base pair (bp) matches were synthesized to compare their affinities. Because of the large surface of a free-standing nanoporous membrane, two orders enhancement of the fluorescence was observed, where the detection limit of the unlabeled concentration can be improved to 1 nM. The assay was miniaturized by integrating a nanoporous AAO layer onto an optical waveguide device. The detection mechanism and the sensitivity improvement of the AAO-waveguide device were illustrated from the finite difference method (FDM) simulation and the experimental results. Light-analyte interaction was further improved due to the presence of the AAO layer, which created an intermediate refractive index and enhanced the waveguide's evanescent field. Our competitive hybridization sensor is an accurate and label-free testing platform applicable to the deployment of compact and sensitive virus detection strategies.

Design Approaches to Expand the Toolkit for Building Cotranscriptionally Encoded RNA Strand Displacement Circuits

Cotranscriptionally encoded RNA strand displacement (ctRSD) circuits are an emerging tool for programmable molecular computation, with potential applications spanning in vitro diagnostics to continuous computation inside living cells. In ctRSD circuits, RNA strand displacement components are continuously produced together via transcription. These RNA components can be rationally programmed through base pairing interactions to execute logic and signaling cascades. However, the small number of ctRSD components characterized to date limits circuit size and capabilities. Here, we characterize over 200 ctRSD gate sequences, exploring different input, output, and toehold sequences and changes to other design parameters, including domain lengths, ribozyme sequences, and the order in which gate strands are transcribed. This characterization provides a library of sequence domains for engineering ctRSD components, i.e., a toolkit, enabling circuits with up to 4-fold more inputs than previously possible. We also identify specific failure modes and systematically develop design approaches that reduce the likelihood of failure across different gate sequences. Lastly, we show the ctRSD gate design is robust to changes in transcriptional encoding, opening a broad design space for applications in more complex environments. Together, these results deliver an expanded toolkit and design approaches for building ctRSD circuits that will dramatically extend capabilities and potential applications.

Highly sensitive detection of MUC1 by microchip electrophoresis combining with target recycling amplification and strand displacement amplification

Mucin 1 (MUC1) is usually overexpressed in a variety of malignant tumors, and quantitative analysis of MUC1 plays an important role in the early diagnosis of cancer. In this work, a highly sensitive MUC1 assay was developed by integrating microchip electrophoresis (MCE) with target recycling amplification (TRA) and strand displacement amplification (SDA). Specifically, the presence of MUC1 can trigger the exposure of the designed hairpin probe (HP) to initiate SDA and an amplified amount of ssDNA is produced finally. The amount of these ssDNA can be detected by MCE, then the concentration of MUC1 can be obtained through the correlation between MUC1 concentration and ssDNA concentration. The experimental results show that the MCE signal had a good linear relationship with MUC1 concentration in the range of 1.0 pg/mL - 1.0 × 10³ pg/mL with a low limit of detection of 0.23 pg/mL under the optimal conditions (S/N = 3). Additionally, the assay had been successfully applied to detect MUC1 in biological samples with satisfactory results, providing an alternative assay for the detection of other tumor markers owing to the high sensitivity, high selectivity, simple operation and low sample consumption.

Cooperative Branch Migration: A Mechanism for Flexible Control of DNA Strand Displacement

DNA strand displacement plays an essential role in the field of dynamic DNA nanotechnology. However, flexible regulation of strand displacement remains a significant challenge. Most previous regulatory tools focused on controllable activation of toehold and thus limited the design flexibility. Here, we introduce a regulatory tool termed cooperative branch migration (CBM), through which DNA strand displacement can be controlled by regulating the complementarity of branch migration domains. CBM shows perfect compatibility with the majority of existing regulatory tools, and when combined with forked toehold, it permits continuous fine-tuning of the strand displacement rate spanning 5 orders of magnitude. CBM manifests multifunctional regulation ability, including rate fine-tuning, continuous dynamic regulation, reaction resetting, and selective activation. To exemplify the powerful function, we also constructed a nested if-function signal processing system on the basis of cascading CBM reactions. We believe that the proposed regulatory strategy would effectively enrich the DNA strand displacement toolbox and ultimately promote the construction of DNA machines of higher complexity in nucleic acid research and biomedical applications.

A ratiometric fluorescence sensor for 5-hydroxymethylfurfural detection based on strand displacement reaction

Since 5-hydroxymethylfurfural (HMF) becomes a neo-forming contaminant with latent harm to human health, development of new method for highly sensitive detection of HMF is extremely desirable. Herein, a novel ratiometric fluorescence sensor based on strand displacement reaction and magnetic separation was designed for sensitive and selective detection of HMF with the help of MnO₂ nanosheets. The aldehyde-functionalized DNA (S0-CHO) and HMF competed for binding to amino-functionalized magnetic beads (NH₂-MBs). Then, S0-CHO was collected from supernatant by magnetic separation. In the presence of HMF, the obtained S0-CHO induced the formation of T-shaped DNA by strand displacement reaction (SDR), lighting the fluorescence of FAM. In the absence of HMF, no S0-CHO was present to ignite T-shaped DNA. In this situation, fluorescence of Cy5 was turned on. Thus, a ratiometric fluorescence sensor for high-sensitive detection of HMF was developed. The sensor has a wide linear range from 5 nM to 5 μM. It also exhibited high selectivity against other potential interfering substances. It has been successfully applied to analyze HMF in food samples. The method has potential to be expanded to detect other molecules containing aldehyde groups and further be applied in food safety, environment and other fields.

Recent Efforts and Milestones for Simulating Nucleic Acid FRET Experiments through Computational Methods

Computational methods can greatly aid nucleic acid fluorescence experiments by either offering fully detailed atomic insights into the conformations and interactions present in the studied system or by providing accurate simulations of the fundamental parameters. Fluorescence-based optical biosensors show great potential for clinical diagnosis of life-altering diseases with a very high specificity. Many of the designs for such rely on the concept of Förster resonance energy transfer (FRET). Currently, the methods used experimentally make use of theoretical assumptions which fundamentally affect the results. Having a detailed atomistic overview or significant simulated parameters could improve the understanding of the calculations and provide much more accurate outcomes. However, there are many challenges that need to be addressed before standardized computational protocols can be employed. This review is meant to highlight the progress made for computational methods used to simulate FRET experiments for nucleic acid probes. Recent advances have been made in computational tools, such as force field parametrizations and improved protocols. Complementary simulations to experimental data are also comprised in the this review.

Plasmonic biosensor for the highly sensitive detection of microRNA-21 via the chemical etching of gold nanorods under a dark-field microscope

MicroRNAs involved in tumor-related tissues at abnormal expression level present tremendous potential in the early diagnosis of cancers. However, their intrinsic shortcomings, for instance, low abundance and high sequence homology, make it challengeable to quantify them with high sensitivity and selectivity. Herein, a highly sensitive platform with great specificity was developed for microRNA-21 based on the produced-I₂ triggered chemical etching of gold nanorods to a smaller size, resulting in a significant blue shift and a great intensity decrease in the localized surface plasmon resonance (LSPR) scattering. The synergism of strand displacement and enzymatic reaction enabled the proposed strategy with a high sensitivity and selectivity toward microRNA-21 in a dynamic range from 0.1 to 10,000 pM and a low limit of detection of 71.22 fM (3σ/k) by dark-field microscope. Additionally, the remarkable discrimination of single nucleotide difference suggested the superior selectivity towards microRNA-21, which presented a satisfactory recovery in human serum samples. The proposed plasmon platform could also serve as a universal and sensitive detection of cancer biomarkers, presenting the amusing application prospects in the early diagnosis of various cancers by adapting the corresponding nucleic acid sequences.

Ten future challenges for synthetic biology

After 2 decades of growth and success, synthetic biology has now become a mature field that is driving significant innovation in the bioeconomy and pushing the boundaries of the biomedical sciences and biotechnology. So what comes next? In this article, 10 technological advances are discussed that are expected and hoped to come from the next generation of research and investment in synthetic biology; from ambitious projects to make synthetic life, cell simulators and custom genomes, through to new methods of engineering biology that use automation, deep learning and control of evolution. The non-exhaustive list is meant to inspire those joining the field and looks forward to how synthetic biology may evolve over the coming decades.

A kinetically controlled platform for ligand-oligonucleotide transduction

Ligand-oligonucleotide transduction provides the critical pathway to integrate non-nucleic acid molecules into nucleic acid circuits and nanomachines for a variety of strand-displacement related applications. Herein, a general platform is constructed to convert the signals of ligands into desired oligonucleotides through a precise kinetic control. In this design, the ligand-aptamer binding sequence with an engineered duplex stem is introduced between the toehold and displacement domains of the invading strand to regulate the strand-displacement reaction. Employing this platform, we achieve efficient transduction of both small molecules and proteins orthogonally, and more importantly, establish logical and cascading operations between different ligands for versatile transduction. Besides, this platform is capable of being directly coupled with the signal amplification systems to further enhance the transduction performance. This kinetically controlled platform presents unique features with designing simplicity and flexibility, expandable complexity and system compatibility, which may pave a broad road towards nucleic acid-based developments of sophisticated transduction networks.

Recent trends in biocatalysis

Biocatalysis has undergone revolutionary progress in the past century. Benefited by the integration of multidisciplinary technologies, natural enzymatic reactions are constantly being explored. Protein engineering gives birth to robust biocatalysts that are widely used in industrial production. These research achievements have gradually constructed a network containing natural enzymatic synthesis pathways and artificially designed enzymatic cascades. Nowadays, the development of artificial intelligence, automation, and ultra-high-throughput technology provides infinite possibilities for the discovery of novel enzymes, enzymatic mechanisms and enzymatic cascades, and gradually complements the lack of remaining key steps in the pathway design of enzymatic total synthesis. Therefore, the research of biocatalysis is gradually moving towards the era of novel technology integration, intelligent manufacturing and enzymatic total synthesis.

Controllable DNA strand displacement by independent metal-ligand complexation

Introduction of artificial metal-ligand base pairs can enrich the structural diversity and functional controllability of nucleic acids. In this work, we revealed a novel approach by placing a ligand-type nucleoside as an independent toehold to control DNA strand-displacement reactions based on metal-ligand complexation. This metal-mediated artificial base pair could initiate strand invasion similar to the natural toehold DNA, but exhibited flexible controllability to manipulate the dynamics of strand displacement that was only governed by its intrinsic coordination properties. External factors that influence the intrinsic properties of metal-ligand complexation, including metal species, metal concentrations and pH conditions, could be utilized to regulate the strand dynamics. Reversible control of DNA strand-displacement reactions was also achieved through combination of the metal-mediated artificial base pair with the conventional toehold-mediated strand exchange by cyclical treatments of the metal ion and the chelating reagent. Unlike previous studies of embedded metal-mediated base pairs within natural base pairs, this metal-ligand complexation is not integrated into the nucleic acid structure, but functions as an independent toehold to regulate strand displacement, which would open a new door for the development of versatile dynamic DNA nanotechnologies.

Additional polypyrrole as conductive medium in artificial electrochemically active biofilm (EAB) to increase the sensitivity of EAB based biosensor in water quality early-warning

Researchers believe that adding conductive mediums in electrochemically active biofilms (EABs) would improve the sensitivity of EAB-based biosensor for real-time water quality early-warning through facilitating the extracellular electron transfer (EET), which has been hardly evidenced mostly because naturally formed EABs employed in previous biosensor studies were recognized distinct and incapable of delivering comparable electrical signals. By preparing artificial EABs where Shewanella oneidensis MR-1 was encapsulated in sodium alginate (SA), this study solved how polypyrrole (PPy) as conductive medium would affect the sensitivity of EAB-based biosensor, as well as mass transfer of toxicant during this process. Different mass ratios (0.125:1, 0.25:1 and 1:1) of PPy over SA were tested, and the sensitivity promoted by 20%, 15% and 6%, respectively. Results indicated that a small amount of PPy addition (PPy: SA = 0.125: 1 in mass ratio) was more effective to increase the biosensor's sensitivity compared to larger amount of PPy employed in EAB. This was when improved conductivity introduced by PPy would dominate in affecting the sensitivity over contrarily weakened mass transfer in the meantime.

Minimizing Leakage in Stacked Strand Exchange Amplification Circuits

Signal amplification is ubiquitous in biology and engineering. Protein enzymes, such as DNA polymerases, can routinely achieve >10⁶-fold signal increase, making them powerful tools for signal enhancement. Considerable signal amplification can also be achieved using nonenzymatic, cascaded nucleic acid strand exchange reactions. However, the practical application of such kinetically trapped circuits has so far proven difficult due to uncatalyzed leakage of the cascade. We now demonstrate that strategically positioned mismatches between circuit components can reduce unprogrammed hybridization reactions and therefore greatly diminish leakage. In consequence, we were able to synthesize a three-layer catalytic hairpin assembly cascade that could operate in a single tube and that yielded 3.7 × 10⁴-fold signal amplification in only 4 h, a greatly improved performance relative to previous cascades. This advance should facilitate the implementation of nonenzymatic signal amplification in molecular diagnostics, as well as inform the design of a wide variety of increasingly intricate nucleic acid computation circuits.

Artificial electrochemically active biofilm for improved sensing performance and quickly devising of water quality early warning biosensors

A major challenge for devising an electrochemically active biofilm (EAB)-based biosensor for real-time water quality early-warning is the formation of EAB that requires several days to weeks. Besides the onerous and time-consuming preparation process, the naturally formed EABs are intensively concerned as they can hardly deliver repeatable electrical signals even at identical experimental conditions. To address these concerns, this study employed sodium alginate as immobilization agent to encapsulate Shewanella oneidensis MR-1 and prepared EAB for devising a biosensor in a short period of less than 1 h. The artificial EAB were found capable of delivering highly consistent electrical signals with each other when fed with the same samples. Morphology and bioelectrochemical properties of the artificial EAB were investigated to provide interpretations for these findings. Different concentrations of bacteria and alginate in forming the EAB were investigated for their effects on the biosensor's sensitivity. Results suggested that lower concentration of bacteria would be beneficial until it increased to 0.06 (OD₆₆₀). Concentration of sodium alginate affected the sensitivity as well and 1% was found an optimum amount to serve in the formation of EAB. A long-term operation of the biosensor with artificial EAB for 110 h was performed. Clear warning signals for incoming toxicants were observed over random signal fluctuations. All results suggested that the artificial EAB electrode would support a rapid devised and highly sensitivity biosensor.

An off/on thrombin activated energy driven molecular machine for sensitive detection of human thrombin via non-enzymatic catalyst recycling amplification

In this article, we report a novel dual on/off thrombin fluorescence aptasensor by combining the energy driven target induced strand displacement reaction and a non-enzyme catalyst recycling DNA machine. Firstly, the specific binding of an aptamer strand and thrombin induce the release of a catalyst which was used as a DNA machine trigger. Subsequently, the catalyst as the trigger initiated the DNA machine through nucleic acid hybridization and branch migration of the DNA machine, resulting in the DNA substrate melting and re-hybridization. In such a working model, the DNA machine achieved cooperative control of the circular strand displacement reaction, realizing catalyst recycling and dual-amplification. The fluorescence signal change of FAM and ROX accumulation had a good linear relationship with the thrombin concentration in the range of 1 fM to 1 nM. On account of catalyst recycling and dual recognition, the detection limit for thrombin was determined to be as low as 0.45 fM (S/N = 3).This biosensor also showed good selectivity for thrombin without being affected by some other proteins, such as PSA, lysozyme etc. Moreover, this assay can be applied to the detection of thrombin in diluted human serum.

A comprehensive system for detecting rare single nucleotide variants based on competitive DNA probe and duplex-specific nuclease

Single nucleotide variants (SNVs) have emerged as increasingly important biomarkers, particularly in the diagnosis and prognosis of cancers. However, most SNVs are rarely detected in blood samples from cancer patients as they are surrounded by abundant concomitant wild-type nucleic acids. Herein, we design a system that features a combination of competitive DNA probe system (CDPS) and duplex-specific nuclease (DSN) that we referred to as CAD. A theoretical model was established for the CAD system based on reaction networks. Guided by the theoretical model, we found that a minor loss in sensitivity significantly improved the specificity of the system, thus creating a theoretical discrimination factor (DF) > 100 for most conditions. This non-equivalent tradeoff between sensitivity and specificity provides a new concept for the analysis of rare DNA-sequence variants. As a demonstration of practicality, we applied as-proposed CAD system to identify low variant allele frequency (VAF) in a synthetic template (0.1% VAF) and human genomic DNA (1% VAF). This work promises complete guidance for the design of enzyme-based nucleic acid analysis.

Point-of-care diagnostics for infectious diseases: From methods to devices

The current widespread of COVID-19 all over the world, which is caused by SARS-CoV-2 virus, has again emphasized the importance of development of point-of-care (POC) diagnostics for timely prevention and control of the pandemic. Compared with labor- and time-consuming traditional diagnostic methods, POC diagnostics exhibit several advantages such as faster diagnostic speed, better sensitivity and specificity, lower cost, higher efficiency and ability of on-site detection. To achieve POC diagnostics, developing POC detection methods and correlated POC devices is the key and should be given top priority. The fast development of microfluidics, micro electro-mechanical systems (MEMS) technology, nanotechnology and materials science, have benefited the production of a series of portable, miniaturized, low cost and highly integrated POC devices for POC diagnostics of various infectious diseases. In this review, various POC detection methods for the diagnosis of infectious diseases, including electrochemical biosensors, fluorescence biosensors, surface-enhanced Raman scattering (SERS)-based biosensors, colorimetric biosensors, chemiluminiscence biosensors, surface plasmon resonance (SPR)-based biosensors, and magnetic biosensors, were first summarized. Then, recent progresses in the development of POC devices including lab-on-a-chip (LOC) devices, lab-on-a-disc (LOAD) devices, microfluidic paper-based analytical devices (μPADs), lateral flow devices, miniaturized PCR devices, and isothermal nucleic acid amplification (INAA) devices, were systematically discussed. Finally, the challenges and future perspectives for the design and development of POC detection methods and correlated devices were presented. The ultimate goal of this review is to provide new insights and directions for the future development of POC diagnostics for the management of infectious diseases and contribute to the prevention and control of infectious pandemics like COVID-19.

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.

Study on Defective T Junction-Mediated Strand Displacement Amplification and Its Application in Microchip Electrophoretic Detection of Longer Bacterial 16S rDNA

Current strand displacement amplification (SDA)-based nucleic acid sensing methods generally rely on a ssDNA template that involves complementary bases to the endonuclease recognition sequence, which has the limitation of detecting only short nucleic acids. Herein, a new SDA method in which the defective T junction structure is first used to support SDA (dT-SDA) was proposed and applied in longer DNA detection. In dT-SDA, an auxiliary probe and a primer were designed to specifically identify the target gene, following the formation of a stable defective T junction structure through proximity hybridization, and the formation of defective T junctions could further trigger cascade SDA cycling to produce numerous ssDNA products. The quantity of these ssDNA products was detected through microchip electrophoresis (MCE) and could be transformed to the concentration of the target gene. Moreover, the applicability of this developed strategy in detecting long genomic DNA was verified by detecting bacterial 16S rDNA. This proposed dT-SDA strategy consumes less time and has satisfactory sensitivity, which has great potential for effective bacterial screening and infection diagnosis.

Breast cancer plasma biopsy by in situ determination of exosomal microRNA-1246 with a molecular beacon

Liquid biopsy is becoming an innovative tool in precision oncology owing to its noninvasive identification of biomarkers circulating in the body fluid at various time points for continuous and real-time analysis of disease progression. MicroRNAs in blood exosomes are identified as a new promising class of potential biomarkers for cancer diagnostics and prognostics. Conventional detection of blood exosomal microRNAs need multiple-step, complicated, costly, and time-consuming sample preparation of exosomes isolation and RNA extract, which affect the accuracy and reproducibility of analytical results. In this work, we set up an in situ quantitative analysis of human plasma exosomal miR-1246 by a probe of 2'-O-methyl and phosphorothioate modified molecular beacon. The probe has outstanding nuclease resistance in highly active RNase A/T1/I, which makes it stable for direct application in blood samples. With rapid rupture of exosomes membrane by Triton X-100, the probe can enter exosomes to specifically target miR-1246 exhibiting quantitative fluorescent signals. Using the output signals as a diagnostic marker, we differentiated 33 breast cancer patients from 37 healthy controls with 97.30% sensitivity and 93.94% specificity at the best cutoff. The blood biopsy is simple without extracting plasma exosomes and their nucleic acids content, time-saving in about 2 h of total analysis process, and microvolumes needed for plasma sample, suggesting its good potential to clinical application.

Biosensors-on-Chip: An Up-to-Date Review

Generally, biosensors are designed to translate physical, chemical, or biological events into measurable signals, thus offering qualitative and/or quantitative information regarding the target analytes. While the biosensor field has received considerable scientific interest, integrating this technology with microfluidics could further bring significant improvements in terms of sensitivity and specificity, resolution, automation, throughput, reproducibility, reliability, and accuracy. In this manner, biosensors-on-chip (BoC) could represent the bridging gap between diagnostics in central laboratories and diagnostics at the patient bedside, bringing substantial advancements in point-of-care (PoC) diagnostic applications. In this context, the aim of this manuscript is to provide an up-to-date overview of BoC system development and their most recent application towards the diagnosis of cancer, infectious diseases, and neurodegenerative disorders.

Chemical Translational Biology-Guided Molecular Diagnostics: The Front Line To Mediate the Current SARS-CoV-2 Pandemic

The spread of severe respiratory syndrome coronavirus 2 (SARS-CoV-2) has disrupted our global society in unprecedented ways. The very front line in defense against this pandemic is molecular diagnosis, which is an exceptional representation of how chemical translational biology can benefit our lives. In this viewpoint, I emphasize the imperative demand for a simple and rapid point-of-care system in order to mediate the spread of COVID-19. I further describe how the interdisciplinary combination of chemistry and biology advances biosensing systems, which potentially lead to integrated and automated point-of-care systems capable of relieving the current pandemic.

Nucleic Acids Analysis

Nucleic acids are natural biopolymers of nucleotides that store, encode, transmit and express genetic information, which play central roles in diverse cellular events and diseases in living things. The analysis of nucleic acids and nucleic acids-based analysis have been widely applied in biological studies, clinical diagnosis, environmental analysis, food safety and forensic analysis. During the past decades, the field of nucleic acids analysis has been rapidly advancing with many technological breakthroughs. In this review, we focus on the methods developed for analyzing nucleic acids, nucleic acids-based analysis, device for nucleic acids analysis, and applications of nucleic acids analysis. The representative strategies for the development of new nucleic acids analysis in this field are summarized, and key advantages and possible limitations are discussed. Finally, a brief perspective on existing challenges and further research development is provided.

An Integrated Multi-Function Heterogeneous Biochemical Circuit for High-Resolution Electrochemistry-Based Genetic Analysis

Modular construction of an autonomous and programmable multi-functional heterogeneous biochemical circuit that can identify, transform, translate, and amplify biological signals into physicochemical signals based on logic design principles can be a powerful means for the development of a variety of biotechnologies. To explore the conceptual validity, we design a CRISPR-array-mediated primer-exchange-reaction-based biochemical circuit cascade, which probes a specific biomolecular input, transform the input into a structurally accessible form for circuit wiring, translate the input information into an arbitrary sequence, and finally amplify the prescribed sequence through autonomous formation of a signaling concatemer. This upstream biochemical circuit is further wired with a downstream electrochemical interface, delivering an integrated bioanalytical platform. We program this platform to directly analyze the genome of SARS-CoV-2 in human cell lysate, demonstrating the capability and the utility of this unique integrated system.

Developing a colorimetric nucleic acid-responsive DNA hydrogel using DNA proximity circuit and catalytic hairpin assembly

The development of powerful techniques for sensitive detection of nucleic acids has attracted much attention for fabricating accurate biosensors in various fields, such as genomics, clinical diagnostics, and forensic sciences. Up to now, different systems have been introduced, the majority of which are expensive, time-consuming, and relatively low selectivity/limit of detection. These limitations caught our attention to fabricate a nucleic acid responsive system by combining three layers of signal amplification strategy, namely a split proximity circuit (SPC), a catalytic hairpin assembly (CHA), and a DNA hydrogel. Herein, by SPC operation, two initiators and a target strand were assembled and activated the CHA reaction in the presence of three 5'-cytosine (C)-rich hairpins. Then, produced C-rich embedded three-way junction structures could form i-motif structures under acidic environment followed by a transition from sol to gel state. To acquire a quantitative and colorimetric measurement, gold nanoparticles (GNPs) were used that encapsulated and sediment by the gel formation. The resulting platform detected the target with a limit of detection of 1 pM and considerable selectivity.

2D Nanomaterial-Based Surface Plasmon Resonance Sensors for Biosensing Applications

The absorption and binding energy of material plays an important role with a large surface area and conductivity for the development of any sensing device. The newly grown 2D nanomaterials like black phosphorus transition metal dichalcogenides (TMDCs) or graphene have excellent properties for sensing devices' fabrication. This paper summarizes the progress in the area of the 2D nanomaterial-based surface plasmon resonance (SPR) sensor during last decade. The paper also focuses on the structure of Kretschmann configuration, the sensing principle of SPR, its characteristic parameters, application in various fields, and some important recent works related to SPR sensors have also been discussed, based on the present and future scope of this field. The present paper provides a platform for researchers to work in the field of 2D nanomaterial-based SPR sensors.

Surpassing the detection limit and accuracy of the electrochemical DNA sensor through the application of CRISPR Cas systems

Robust developments of personalized medicine for next-generation healthcare highlight the need for sensitive and accurate point-of-care platforms for quantification of disease biomarkers. Broad presentations of clustered regularly interspaced short palindromic repeats (CRISPR) as an accurate gene editing tool also indicate that the high-specificity and programmability of CRISPR system can be utilized for the development of biosensing systems. Herein, we present a CRISPR Cas system enhanced electrochemical DNA (E-DNA) sensor with unprecedented sensitivity and accuracy. The principle of the E-DNA sensor is the target induced conformational change of the surface signaling probe (containing an electrochemical tag), leading to the variation of the electron transfer rate of the electrochemical tag. With the introduction of CRISPR cleavage activity into the E-DNA sensor, a more apparent signal change between with and without the presence of the target can be achieved. We compared the performance of Cas9 and Cas12a enhanced E-DNA sensor and optimized the chemical environment of CRISPR, achieving a femto-molar detection limit without enzymatic amplification. Moreover, we correlated the CRISPR cleavage signal with the original E-DNA signal as a strategy to indicate potential mismatches in the target sequence. Comparing with classic DNA electrochemistry based mutation detection strategy, CRISPR enhanced E-DNA sensor can determine the presence of a single mutation at an unknown concentration condition. Overall, we believe that the CRISPR enhanced E-DNA sensing strategy will be of especially high utility for point-of-care systems owing to the programmability, modularity, high-sensitivity and high-accuracy.

Genetic Biosensor Design for Natural Product Biosynthesis in Microorganisms

Low yield and low titer of natural products are common issues in natural product biosynthesis through microbial cell factories. One effective way to resolve such bottlenecks is to design genetic biosensors to monitor and regulate the biosynthesis of target natural products. In this review, we evaluate the most recent advances in the design of genetic biosensors for natural product biosynthesis in microorganisms. In particular, we examine strategies for selection of genetic parts and construction principles for the design and evaluation of genetic biosensors. We also review the latest applications of transcription factor- and riboswitch-based genetic biosensors in natural product biosynthesis. Lastly, we discuss challenges and solutions in designing genetic biosensors for the biosynthesis of natural products in microorganisms.