A CNN-Transformer Hybrid Framework for Multi-Label Predator-Prey Detection in Agricultural Fields.

Accurate identification of predator-pest relationships is essential for implementing effective and sustainable biological control in agriculture. However, existing image-based methods struggle to recognize insect co-occurrence under complex field conditions, limiting their ecological applicability. To address this challenge, we propose a hybrid deep learning framework that integrates convolutional neural networks (CNNs) and Transformer architectures for multi-label recognition of predator-pest combinations.

Novel Self-Powered Biosensor Based on Highly Efficient Cosignal Accelerator and Multiple Signal Amplification Strategies toward Ultrasensitive miRNA-141 Assay.

A highly sensitive self-powered biosensor is designed based on gold-platinum nanorods (AuPt NRs) and the cascade reaction of catalytic hairpin assembly (CHA) and hybrid chain reaction (HCR) toward the miRNA-141 assay. As a cosignal accelerator, AuPt NRs enhance electrical conductivity between glucose oxidase (GOD) and a carbon paper (CP) electrode, thereby assisting in output signal enhancement. The cascade reaction of CHA-HCR is employed to efficiently amplify the detection signal and improve the sensitivity of the self-powered biosensor.

Limiting cap-dependent translation increases 20S proteasomal degradation and protects the proteomic integrity in autophagy-deficient skeletal muscle.

Postmitotic skeletal muscle critically depends on tightly regulated protein degradation to maintain proteomic stability. Impaired macroautophagy/autophagy-lysosomal or ubiquitin-proteasomal protein degradation causes the accumulation of damaged proteins, ultimately accelerating muscle dysfunction with age. While studies have demonstrated the complementary nature of these systems, their interplay at the organism levels remains poorly understood.

Microenvironment-confined kinetic elucidation and implementation of a DNA nano-phage with a shielded internal computing layer.

Multiple receptor analysis-based DNA molecular computation has been developed to mitigate the off-target effect caused by nonspecific expression of cell membrane receptors. However, it is quite difficult to involve nanobodies into molecular computation with programmed recognition order because of the "always-on" response mode and the inconvenient molecular programming. Here we propose a spatial segregation-based molecular computing strategy with a shielded internal computing layer termed DNA nano-phage (DNP) to program nanobody into DNA molecular computation and build a series of kinetic models to elucidate the mechanism of microenvironment-confinement.

Reducing Measurement Deviation by Metastable DNA Probes for Aptamer Thermodynamic Characterization.

DNA reaction equilibrium-based calculations have great potential in thermodynamic characterization, but their widespread applications are hindered by significant measurement deviation of equilibrium concentration. Here, we report the advantages of metastable DNA hybridization in reducing quantification deviation of equilibrium concentration and propose a universal and standardized strategy for measuring aptamer binding energy, termed metastable DNA reference calorimetry (MDRC). We built different MDRC-based algorithms tailored to different aptamer binding models, enabling the calculation of thermodynamic parameters for aptamers with one or more binding sites.

Framework Nucleic Acid-Nanobody Fusion Probe-Based Pharmacokinetics Modulation and Analysis for Efficient Positron Emission Tomography Imaging.

Nanobodies are promising for immunoPET imaging due to their excellent antigen recognition and tumor targeting, yet rapid clearance limits their tumor accumulation. Although multimerization and albumin binding can extend their circulation time and improve tumor targeting, a simple and universal method for creating protein multimers is still needed. Here, we leveraged the facile synthesis, controllable size, and precise assembly of DNA nanotechnology to construct CD47-targeted framework nucleic acid-nanobody fusion probes with multiple valences and sizes.

On-demand controlled bidirectional DNAzyme path for ultra-sensitive heavy metal ion detection.

A bidirectional self-powered biosensor is constructed for the quasi-simultaneous detection of Pb and Hg based on MoS@CuS heterostructures as an accelerator and hybridization chain reaction (HCR) as a signal amplification strategy. MoS@CuS heterostructures significantly facilitate electron transfer between glucose and bioelectrodes, thereby greatly improving the detection signal of self-powered biosensors. This novel biosensor employs the unique sequences of DNAzymes to isolate Pb and Hg by the cleavage effect and thymine (T)-Hg-thymine (T) structures, respectively.

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

Nucleic acid-based molecular recognition plays crucial roles in various fields like biosensing and disease diagnostics. To achieve optimal detection and analysis, it is essential to regulate the response performance of nucleic acid probes or switches to match specific application requirements by regulating thermodynamics and kinetics properties. However, the impacts of thermodynamics and kinetics theories on recognition performance are sometimes obscure and the relative conclusions are not intuitive.

Mirror-Image DNA Nanobox for Enhancing Environment Resistance of Nucleic Acid Probes.

Degradation and interference of the nucleic acid probes in complex biological environments like cytoplasm or body fluid can cause obvious false-positive signals and inefficient bioregulation in biosensing and biomedicine. To solve this problem, here, we proposed a universal strategy, termed L-DNA assembly mirror-image box-based environment resistance (L-AMBER), to protect nucleic acid probes from degradation and maintain their responsive activity in complex biological environments. Strand displacement reaction (SDR), aptamer, or DNAzyme-based D-DNA probes were encapsulated into an L-DNA box by using an L-D-L block DNA carrier strand to construct different kinds of L-AMBER probes.

Identification of the Binding Site between Aptamer sgc8c and PTK7.

Aptamers are single-stranded RNA or DNA molecules that can specifically bind to targets and have found broad applications in cancer early-stage detection, accurate drug delivery, and precise treatment. Although various aptamer screening methods have been developed over the past several decades, the accurate binding site between the target and the aptamer cannot be characterized during a typical aptamer screening process. In this research, we chose a widely used aptamer screened by our group, sgc8c, and its target protein tyrosine kinase 7 (PTK7) as the model aptamer and target and tried to determine the binding site between aptamer sgc8c and PTK7.

DNA-Based Molecular Machines: Controlling Mechanisms and Biosensing Applications.

The rise of DNA nanotechnology has driven the development of DNA-based molecular machines, which are capable of performing specific operations and tasks at the nanoscale. Benefitting from the programmability of DNA molecules and the predictability of DNA hybridization and strand displacement, DNA-based molecular machines can be designed with various structures and dynamic behaviors and have been implemented for wide applications in the field of biosensing due to their unique advantages. This review summarizes the reported controlling mechanisms of DNA-based molecular machines and introduces biosensing applications of DNA-based molecular machines in amplified detection, multiplex detection, real-time monitoring, spatial recognition detection, and single-molecule detection of biomarkers.

Dual-responsive 3D DNA nanomachines cascaded hybridization chain reactions for novel self-powered flexible microRNA-detecting platform.

The microRNA-21 is closely related to chromatin remodeling and epigenetic regulation. In this work, an efficient double-response 3D DNA nanomachine (DRDN) was assembled by co-immobilizing two different lengths of hairpin DNA on the surface of gold nanoparticles (AuNPs) to capture microRNA-21 (miRNA-21), recycle miRNA-21, and trigger hybridization chain reactions (HCR). This work reports the fabrication of a laser-scribed graphene (LSG) electrode with excellent flexibility and electrical conductivity by laser-scribing commercial polyimide films (PI).

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

A novel self-powered biosensor is fabricated for ultrasensitive microRNA-21 (miRNA-21) detection, which includes an enzymatic biofuel cell (EBFC), DNA walkers, a digital multimeter (DMM), and a capacitor. As a novel strategy for signal amplification, DNA walkers are designed in the cathode, while the capacitor stores electrochemical energy from the EBFC to further boost the instantaneous current displayed by the DMM. When miRNA-21 is present, the DNA walkers are provoked to walk from as-opened hairpin structures to other hairpin structures, generating double-strand DNA structures, which stimulate [Ru(NH)] to be adsorbed on the cathode surface by electrostatic interaction.

Phase Separation of DNA-Encoded Artificial Cells Boosts Signal Amplification for Biosensing.

Life-like hierarchical architecture shows great potential for advancing intelligent biosensing, but modular expansion of its sensitivity and functionality remains a challenge. Drawing inspiration from intracellular liquid-liquid phase separation, we discovered that a DNA-encoded artificial cell with a liquid core (LAC) can enhance peroxidase-like activity of Hemin and its DNA G-quadruplex aptamer complex (DGAH) without substrate-selectivity, unlike its gelled core (GAC) counterpart. The LAC is easily engineered as an ultrasensitive biosensing system, benefiting from DNA's high programmability and unique signal amplification capability mediated by liquid-liquid phase separation.

A Dynamic Control Center Based on a DNA Reaction Network for Programmable Building of DNA Nanostructures.

DNA-based nanostructures allow for complex self-assembly with nanometer precision through the specificity of Watson-Crick base pairing, but network behavior-directed control of the kinetic process is less studied. Here we show how the DNA reaction network (DRN), which has emerged as a reliable and programmable way to implement artificial network dynamics, can be built as the control center of programmable nanostructures, allowing spatiotemporal control over the dynamic behavior of DNA nanotubes. We chose a common network motif in biological control systems, the feed-forward loop, as the model network and demonstrated that dynamic behaviors, such as self-tuning control and multilayer hierarchical assembly, could be programmed by constructing an inhibition network and an excitation network, separately, in buffer solution and inside protocells.

Membrane-anchored DNA nanojunctions enable closer antigen-presenting cell-T-cell contact in elevated T-cell receptor triggering.

How the engagement of a T-cell receptor to antigenic peptide-loaded major histocompatibility complex on antigen-presenting cells (APCs) initiates intracellular signalling cascades in T cells is not well understood. In particular, the dimension of the cellular contact zone is regarded as a determinant, but its influence remains controversial. This is due to the need for appropriate strategies for manipulating intermembrane spacing between the APC-T-cell interfaces without involving protein modification.

Robust Covalent Aptamer Strategy Enables Sensitive Detection and Enhanced Inhibition of SARS-CoV-2 Proteins.

Aptamer-based detection and therapy have made substantial progress with cost control and easy modification. However, the conformation lability of an aptamer typically causes the dissociation of aptamer-target complexes during harsh washes and other environmental stresses, resulting in only moderate detection sensitivity and a decreasing therapeutic effect. Herein, we report a robust covalent aptamer strategy to sensitively detect nucleocapsid protein and potently neutralize spike protein receptor binding domain (RBD), two of the most important proteins of SARS-CoV-2, after testing different cross-link electrophilic groups via integrating the specificity and efficiency.

Ligand Dilution Analysis Facilitates Aptamer Binding Characterization at the Single-Molecule Level.

Cell-specific aptamers offer a powerful tool to study membrane receptors at the single-molecule level. Most target receptors of aptamers are highly expressed on the cell surface, but difficult to analyze in situ because of dense distribution and fast velocity. Therefore, we herein propose a random sampling-based analysis strategy termed ligand dilution analysis (LDA) for easily implemented aptamer-based receptor study.

Network topology-directed design of molecular CPU for cell-like dynamic information processing.

Natural cells (NCs) can automatically and continuously respond to fluctuant external information and distinguish meaningful stimuli from weak noise depending on their powerful genetic and protein networks. We herein report a network topology-directed design of dynamic molecular processing system (DMPS) as a molecular central processing unit that powers an artificial cell (AC) able to process fluctuant information in its immediate environment similar to NCs. By constructing a mixed cell community, ACs and NCs have synchronous response to fluctuant extracellular stimuli under physiological condition and in a blood vessel-mimic circulation system.

Ratiometric afterglow luminescent nanoplatform enables reliable quantification and molecular imaging.

Afterglow luminescence is an internal luminescence pathway that occurs after photo-excitation, holds great promise for non-background molecular imaging in vivo, but suffer from poor quantitative ability owing to luminescent attenuation over time. Moreover, the inert structure and insufficient reactive sites of current afterglow materials make it hard to design activatable afterglow probes for specific detection. Here, we report a ratiometric afterglow luminescent nanoplatform to customize various activatable afterglow probes for reliable quantification and molecular imaging of specific analytes, such as NO, ONOO or pH.

ResNet-BiLSTM: A Multiscale Deep Learning Model for Heartbeat Detection Using Ballistocardiogram Signals.

As the heartbeat detection from ballistocardiogram (BCG) signals using force sensors is interfered by respiratory effort and artifact motion, advanced signal processing algorithms are required to detect the J-peak of each BCG signal so that beat-to-beat interval can be identified. However, existing methods generally rely on rule-based detection of a fixed size, without considering the rhythm features in a large time scale covering multiple BCG signals. .

A psychological health support scheme for medical teams in COVID-19 outbreak and its effectiveness.

Background: Medical staff fighting the COVID-19 pandemic are experiencing stress from high occupational risk, panic in the community and the extreme workload. Maintaining the psychological health of a medical team is essential for efficient functioning, but psychological intervention models for emergency medical teams are rare.

Aims: To design a systematic, full-coverage psychological health support scheme for medical teams serving large-scale emergent situations, and demonstrate its effectiveness in a real-world study in Leishenshan Hospital during the COVID-19 epidemic in Wuhan, China.

A de novo strategy to develop NIR precipitating fluorochrome for long-term in situ cell membrane bioimaging.

Cell membrane-targeted bioimaging is a prerequisite for studying the roles of membrane-associated biomolecules in various physiological and pathological processes. However, long-term in situ bioimaging on the cell membrane with conventional fluorescent probes leads to diffusion into cells from the membrane surface. Therefore, we herein proposed a de novo strategy to construct an antidiffusion probe by integrating a fluorochrome characterized by strong hydrophobicity and low lipophilicity, with an enzyme substrate to meet this challenge.