Logic invades cell-free biosensing

RNA-Based Sensor Systems for Affordable Diagnostics in the Age of Pandemics

In the era of the COVID-19 pandemic, the significance of point-of-care (POC) diagnostic tools has become increasingly vital, driven by the need for quick and precise virus identification. RNA-based sensors, particularly toehold sensors, have emerged as promising candidates for POC detection systems due to their selectivity and sensitivity. Toehold sensors operate by employing an RNA switch that changes the conformation when it binds to a target RNA molecule, resulting in a detectable signal. This review focuses on the development and deployment of RNA-based sensors for POC viral RNA detection with a particular emphasis on toehold sensors. The benefits and limits of toehold sensors are explored, and obstacles and future directions for improving their performance within POC detection systems are presented. The use of RNA-based sensors as a technology for rapid and sensitive detection of viral RNA holds great potential for effectively managing (dealing/coping) with present and future pandemics in resource-constrained settings.

A DNA Logic Circuit Equipped with a Biological Amplifier Loaded into Biomimetic ZIF-8 Nanoparticles Enables Accurate Identification of Specific Cancers In Vivo

DNA logic circuits (DLC) enable the accurate identification of specific cell types, such as cancer cells, but they face the challenges of weak output signals and a lack of competent platforms that can efficiently deliver DLC components to the target site in the living body. To address these issues, we rationally introduced a cascaded biological amplifier module based on the Primer Exchange Reaction inspired by electronic circuit amplifier devices. As a paradigm, three abnormally expressed Hela cell microRNAs (-30a, -17, and -21) were chosen as "AND" gate inputs. DLC response to these inputs was boosted by the amplifier markedly enhancing the output signal. More importantly, the encapsulation of DLC and amplifier components into ZIF-8 nanoparticles resulted in their efficient delivery to the target site, successfully distinguishing the Hela tumor subtype from other tumors in vivo. Thus, we envision that this strategy has great potential for clinical cancer diagnosis.

Modularized synthetic biology enabled intelligent biosensors

Biosensors that sense the concentration of a specified target and produce a specific signal output have become important technology for biological analysis. Recently, intelligent biosensors have received great interest due to their adaptability to meet sophisticated demands. Advances in developing standard modules and carriers in synthetic biology have shed light on intelligent biosensors that can implement advanced analytical processing to better accommodate practical applications. This review focuses on intelligent synthetic biology-enabled biosensors (SBBs). First, we illustrate recent progress in intelligent SBBs with the capability of computation, memory storage, and self-calibration. Then, we discuss emerging applications of SBBs in point-of-care testing (POCT) and wearable monitoring. Finally, future perspectives on intelligent SBBs are proposed.

Cell-Free Biosensing Genetic Circuit Coupled with Ribozyme Cleavage Reaction for Rapid and Sensitive Detection of Small Molecules

Synthetic biological systems have been utilized to develop a wide range of genetic circuits and components that enhance the performance of biosensing systems. Among them, cell-free systems are emerging as important platforms for synthetic biology applications. Genetic circuits play an essential role in cell-free systems, mainly consisting of sensing modules, regulation modules, and signal output modules. Currently, fluorescent proteins and aptamers are commonly used as signal outputs. However, these signal output modes cannot simultaneously achieve faster signal output, more accurate and reliable performance, and signal amplification. Ribozyme is a highly structured and catalytic RNA molecule that can specifically recognize and cut specific substrate sequences. Here, by adopting ribozyme as the signal output, we developed a cell-free biosensing genetic circuit coupled with the ribozyme cleavage reaction, enabling rapid and sensitive detection of small molecules. More importantly, we have also successfully constructed a 3D-printed sensor array and thereby achieved high-throughput analysis of an inhibitory drug. Furthermore, our method will help expand the application range of ribozyme in the field of synthetic biology and also optimize the signal output system of cell-free biosensing, thus promoting the development of cell-free synthetic biology in biomedical research, clinical diagnosis, environmental monitoring, and food inspection.

Reconfigurable DNA triplex structure for pH responsive logic gates†

The DNA triplex is a special DNA structure often used as a logic gate substrate due to its high stability, programmability, and pH responsiveness. However, multiple triplex structures with different C−G−C⁺ proportions must be introduced into existing triplex logic gates due to the numerous logic calculations involved. This requirement complicates circuit design and results in many reaction by-products, greatly restricting the construction of large-scale logic circuits. Thus, we designed a new reconfigurable DNA triplex structure (RDTS) and constructed the pH-responsive logic gates through its conformational change that uses two types of logic calculations, ‘AND’ and ‘OR’. The use of these logic calculations necessitates fewer substrates, further enhancing the extensibility of the logic circuit. This result is expected to promote the development of the triplex in molecular computing and facilitate the completion of large-scale computing networks.

We constructed pH-responsive logic gates through substrate conformational change that uses two types of logic calculations, ‘AND’ and ‘OR’. Our logic gates necessitate fewer substrates when two types of logic calculations are needed.

Design of an all-optical insulator-metal-insulator and metal-insulator-metal Feynman logic gates

In this paper, two Feynman logic gates based on insulator-metal-insulator (IMI) and metal-insulator-metal (MIM) waveguides are proposed. The gates are modeled using the finite-difference time-domain method. The IMI-based Feynman gate shows high extinction ratio (ER) values of 11.06 dB and 7.61 dB for the output bits P and Q, respectively. The ER values of the MIM-based Feynman gate are also 12.83 dB and 7.29 dB for the output bits P and Q, respectively. The footprint of the gates is less than 2µm². The proposed gates benefit from high ERs in the wavelength range of 1.5-1.6 µm (band C), ultra-compact footprints, and CMOS-compatible structures, which make them potential candidates for use in integrated photonic circuits.

Advances, Challenges and Future Trends of Cell-Free Transcription-Translation Biosensors

In recent years, the application of cell-free protein synthesis systems in biosensing has been developing rapidly. Cell-free synthetic biology, with its advantages of high biosafety, fast material transport, and high sensitivity, has overcome many defects of cell-based biosensors and provided an abiotic substitute for biosensors. In addition, the application of freeze-drying technology has improved the stability of such systems, making it possible to realize point-of-care application of field detection and broadening the application prospects of cell-free biosensors. However, despite these advancements, challenges such as the risk of sample interference due to the lack of physical barriers, maintenance of activity during storage, and poor robustness still need to be addressed before the full potential of cell-free biosensors can be realized on a larger scale. In this review, current strategies and research results for improving the performance of cell-free biosensors are summarized, including a comprehensive discussion of the existing challenges, future trends, and potential investments needed for improvement.