A domino-like localized cascade toehold assembly amplification-based DNA nanowire for microRNA imaging in living cells.

High sensitivity and specificity imaging of miRNA in living cells plays an important role in understanding miRNA-related regulation and pathological research. Localized DNA circuits have shown good performance in reaction rate and sensitivity and have been proposed for sensitive imaging of miRNA in living cells. However, most reported localized DNA circuits have a high risk of derailment or a limited loading rate capacity, which hinder their further application.

Energy-Efficient Trajectory Planning for Smart Sensing in IoT Networks Using Quadrotor UAVs.

Quadrotor unmanned aerial vehicles (UAVs) are widely used as flexible and mobile access points and information carriers for the future Internet of Things (IoT). This work studies a quadrotor UAV-assisted IoT network, where the UAV helps to collect sensing data from a group of IoT users. Our goal is to optimize the UAV's overall energy consumption required to complete the sensing task.

A new pyroptosis-related signature for predicting the immune status and injury of liver ischemia-reperfusion.

Objective: Pyroptosis is a type of programmed cell death. This study aimed to explore the roles of key pyroptosis-related genes in liver ischemia-reperfusion injury.

Methods: After collection and standardization of the transcriptome data from GSE12720 database, differentially expressed pyroptosis-related genes were identified.

Identification of natural product 3, 5-diiodotyrosine as APOBEC3B inhibitor to prevent somatic mutation accumulation and cancer progression.

Background: The development of cancer is largely dependent on the accumulation of somatic mutations, indicating the potential to develop cancer chemoprevention agents targeting mutation drivers. However, ideal cancer chemoprevention agents that can effectively inhibit the mutation drivers have not been identified yet.

Methods: The somatic mutation signatures and expression analyses of APOBEC3B were performed in patient with pan-cancer.

Titanium oxide-based optoelectronic synapses with visual memory synergistically adjusted by internal emotions and ambient illumination.

Brain-inspired neuromorphic computing has become one of the critical technologies to overcome the bottleneck of von Neumann architecture. It is a vital step to construct a brain-like neuromorphic computing system at the hardware level by utilizing artificial synaptic devices. Compared with electronic synaptic devices, optoelectronic synaptic devices have the advantages of low power consumption, low crosstalk, and high bandwidth.

A novel ferroptosis-related gene signature to predict overall survival in patients with osteosarcoma.

Objectives: Ferroptosis plays vital roles in the pathogenesis of various malignant tumors. However, knowledge on roles of ferroptosis in osteosarcoma remains scarce. In the present study, a comprehensive bioinformatics analysis was performed aiming to identify ferroptosis-related genes (FRGs), construct a FRGs-based model predicting overall survival (OS), and assess the impact of these FRGs on the migration and invasion of osteosarcoma cells.

Over two decades of research on the marine RNA virosphere.

RNA viruses (realm: Riboviria), including RNA phages and eukaryote-infecting RNA viruses, are essential components of marine ecosystems. A large number of marine RNA viruses have been discovered in the last two decades because of the rapid development of next-generation sequencing (NGS) technology. Indeed, the combination of NGS and state-of-the-art meta-omics methods (viromics, the study of all viruses in a specific environment) has led to a fundamental understanding of the taxonomy and genetic diversity of RNA viruses in the sea, suggesting the complex ecological roles played by RNA viruses in this complex ecosystem.

Learning size-adaptive molecular substructures for explainable drug-drug interaction prediction by substructure-aware graph neural network.

Drug-drug interactions (DDIs) can trigger unexpected pharmacological effects on the body, and the causal mechanisms are often unknown. Graph neural networks (GNNs) have been developed to better understand DDIs. However, identifying key substructures that contribute most to the DDI prediction is a challenge for GNNs.

Oridonin Inhibits SARS-CoV-2 by Targeting Its 3C-Like Protease.

Oridonin Inhibits SARS-CoV-2 Oridonin, a natural product extracted from , possesses a wide range of pharmacological properties, including anti-inflammatory, anti-cancer, anti-microbial, neuroprotection, immunoregulation, etc. In article number 2100124, Baisen Zhong, Litao Sun, and co-workers demonstrate that Oridonin targets the SARS-CoV-2 3CL protease by covalently binding to cysteine145 in its active pocket to exert an anti-SARS-CoV-2 effect, which provides a novel candidate for the treatment of COVID-19.

[Based on a Markov model, cost-effectiveness analysis of influenza vaccination among people aged 60 years and older in Shenzhen].

To assess the cost-effectiveness of influenza vaccination among people aged 60 years and older in Shenzhen. A Markov state transition model was constructed to evaluate the cost-effectiveness of annual influenza vaccination for preventing influenza infection compared with no vaccination among the elderly from the social perspective. Allowing seasonal variation of influenza activity, the model followed a five-year cohort using weekly cycles.

Characteristics and management of SARS-CoV-2 delta variant-induced COVID-19 infections from May to October 2021 in China: post-vaccination infection cases.

SARS-CoV-2 variants have shown increased transmission capabilities and pandemic to an extent with severe presentation and mortality. The delta variant has been declared as an emerging variant of concern (VOC) by the World Health Organization (WHO) on May 10, 2021. This review summarizes the post-vaccination infection events related to SARS-CoV-2 delta variant outbreaks in many areas of China.

A COVID-19 CXR image recognition method based on MSA-DDCovidNet.

Currently, coronavirus disease 2019 (COVID-19) has not been contained. It is a safe and effective way to detect infected persons in chest X-ray (CXR) images based on deep learning methods. To solve the above problem, the dual-path multi-scale fusion (DMFF) module and dense dilated depth-wise separable (D3S) module are used to extract shallow and deep features, respectively.

Oridonin Inhibits SARS-CoV-2 by Targeting Its 3C-Like Protease.

The current COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is an enormous threat to public health. The SARS-CoV-2 3C-like protease (3CLpro), which is critical for viral replication and transcription, has been recognized as an ideal drug target. Herein, it is identified that three herbal compounds, Salvianolic acid A (SAA), (-)-Epigallocatechin gallate (EGCG), and Oridonin, directly inhibit the activity of SARS-CoV-2 3CLpro.

Highly Tough, Stretchable and Self-Healing Polyampholyte Elastomers with Dual Adhesiveness.

A new type of polyampholyte with unique viscoelastic properties can be easily synthesized by the copolymerization of butyl acrylate with dimethylaminoethyl methacrylate and acid acrylate in one pot. The elastic modulus of the as-prepared polyampholyte can be easily tuned by adjusting the ratio between the butyl acrylate and ionic monomers. The polyampholyte synthesized by a low proportion of ionic monomer showed low tensile strength and high stretchability, resulting in good conformal compliance with the biological tissues and potent energy dissipation.

Clinical characteristics of patients with CRSwNP with intensely high eosinophil level.

Background: High tissue and blood eosinophils are linked to poor treatment outcome in patients with chronic rhinosinusitis with nasal polyps (CRSwNP). However, the difference between the patients with different level of blood or tissue eosinophilia in relation to disease control is still lacking.

Objectives: This study aimed to characterize patients with CRSwNP with intensely high eosinophil level.

Novel Hub genes co-expression network mediates dysfunction in a model of polycystic ovary syndrome.

Background: This study aimed to integrate DNA methylation, miRNA, and mRNA microarray data to construct a gene co-expression network for polycystic ovarian syndrome (PCOS).

Methods: The weighted gene co-expression network analysis (WGCNA) was conducted to construct a PCOS-related co-expression network by using the GEO public datasets. We performed Gene Ontology and KEGG pathway enrichment analyses for a further exploration of gene function in networks.

Intradiscal injection for the management of low back pain.

Low back pain (LBP) is a common clinical problem and a major cause of physical disability, imposing a prominent socioeconomic burden. Intervertebral disc degeneration (IDD) has been considered the main cause of LBP. The current treatments have limited efficacy because they cannot address the underlying degeneration.

Correlation between motor behavior and age-related intervertebral disc degeneration in cynomolgus monkeys.

Background: The motor behavior in patients with lumbar intervertebral disc degeneration (IDD) and animal models should be changed due to pain. However, there does not seem to be a strong correlation between IDD and motor behavior. Therefore, it is necessary to understand the correlation between motor behavior and age-related IDD.

Emerging biosensing and transducing techniques for potential applications in point-of-care diagnostics.

With the deepening of our understanding in life science, molecular biology, nanotechnology, optics, electrochemistry and other areas, an increasing number of biosensor design strategies have emerged in recent years, capable of providing potential practical applications for point-of-care (POC) diagnosis in various human diseases. Compared to conventional biosensors, the latest POC biosensor research aims at improving sensor precision, cost-effectiveness and time-consumption, as well as the development of versatile detection strategies to achieve multiplexed analyte detection in a single device and enable rapid diagnosis and high-throughput screening. In this review, various intriguing strategies in the recognition and transduction of POC (from 2018 to 2021) are described in light of recent advances in CRISPR technology, electrochemical biosensing, and optical- or spectra-based biosensing.

KLF4 Affects Acute Renal Allograft Injury via Binding to MicroRNA-155-5p Promoter to Regulate ERRFI1.

Kruppel-like factor 4 (KLF4) owns the promising potential in treating kidney injury, which inevitably occurs during renal allograft. Given that, this research targets to unveil KLF4-oriented mechanism from microRNA-155-5p/ERBB receptor feedback inhibitor 1 (miR-155-5p/ERRFI1) axis in acute renal allograft injury. Mice were injected with miR-155-5p-related sequences before acute renal allograft modeling.

A time-series meta-transcriptomic analysis reveals the seasonal, host, and gender structure of mosquito viromes.

Although metagenomic sequencing has revealed high numbers of viruses in mosquitoes sampled globally, our understanding of how their diversity and abundance varies in time and space as well as by host species and gender remains unclear. To address this, we collected 23,109 mosquitoes over the course of 12 months from a bat-dwelling cave and a nearby village in Yunnan province, China. These samples were organized by mosquito species, mosquito gender, and sampling time for meta-transcriptomic sequencing.

MGraphDTA: deep multiscale graph neural network for explainable drug-target binding affinity prediction.

Predicting drug-target affinity (DTA) is beneficial for accelerating drug discovery. Graph neural networks (GNNs) have been widely used in DTA prediction. However, existing shallow GNNs are insufficient to capture the global structure of compounds.

Loss of the IR region in conifer plastomes: Changes in the selection pressure and substitution rate of protein-coding genes.

Plastid genomes (plastomes) have a quadripartite structure, but some species have drastically reduced or lost inverted repeat (IR) regions. IR regions are important for genome stability and the evolution rate. In the evolutionary process of gymnosperms, the typical IRs of conifers were lost, possibly affecting the evolutionary rate and selection pressure of genomic protein-coding genes.

Digital CRISPR/Cas12b-based platform enabled absolute quantification of viral RNA.

Early and accurate diagnosis of viruses is critical for control of the pandemic. CRISPR/Cas-based detection of nucleic acid is an emerging technology for molecular diagnostics, and has been applied for virus detection. Though these methods have excellent sensitivity and specificity, most of them were not able to measure the quantity of virus.