Production of virus-like particles of FMDV by 3C protease cleaving precursor polyprotein P1 in vitro.

Nonstructural protein 3C, a master protease of Picornaviridae, plays a critical role in viral replication by directly cleaving the viral precursor polyprotein to form the viral capsid protein and antagonizing the host antiviral response. Additionally, 3C protease, as a tool enzyme, is involved in regulating polyprotein expression. Here, the 3C mutant gene (3Cm), fused with a small ubiquitin-like modifier (SUMO) tag at the N-terminal and featuring a mutation at position 127, was inserted into the cold-shock plasmid pCold of Escherichia coli for expression.

Clinical outcomes and safety of CAR-T cells in treatment of T-Cell acute lymphoblastic leukemia/lymphoma.

Relapsed or refractory T-cell acute lymphoblastic leukemia/lymphoma (r/r T-ALL/LBL) are frequently aggressive and associated with unfavorable prognoses. Pan-targeted Chimeric Antigen Receptor (CAR) T-cell therapy have shown promising results in clinical trials. In recent years, CD7 CAR T-cell and CD5 CAR T-cell demonstrate effectiveness in treating r/r T-ALL/LBL patients with bone marrow infiltration.

Dual regulation of phaseol on osteoclast formation and osteoblast differentiation by targeting TAK1 kinase for osteoporosis treatment.

Introduction: Osteoporosis is an osteolytic disorder resulting from an inequilibrium between osteoblast-mediated osteogenesis and osteoclast-driven bone absorption. Safe and effective approaches for osteoporosis management are still highly demanded.

Purpose: This study aimed to examine the osteoprotective effect and the mechanisms of phaseol (PHA) in vitro and in vivo.

Exploration of the Regulatory Network of Programmed Cell Death Genes in Rheumatoid Arthritis Based on Blood-Derived circRNA Transcriptome Information and Single-Cell Multi-omics Data.

Programmed cell death (PCD) and circular RNA (circRNA) have been found to involve in the pathogenesis of rheumatoid arthritis (RA). The aim of this study was to explore PCD mechanisms and gene regulatory networks in RA. RA related to circRNA, mRNA and single-cell data sets were obtained from the GEO database.

Dehydroervatamine as a promising novel TREM2 agonist, attenuates neuroinflammation.

Microglia play a dual role in neuroinflammatory disorders that affect millions of people worldwide. These specialized cells are responsible for the critical clearance of debris and toxic proteins through endocytosis. However, activated microglia can secrete pro-inflammatory mediators, potentially exacerbating neuroinflammation and harming adjacent neurons.

General-purpose machine-learned potential for 16 elemental metals and their alloys.

Machine-learned potentials (MLPs) have exhibited remarkable accuracy, yet the lack of general-purpose MLPs for a broad spectrum of elements and their alloys limits their applicability. Here, we present a promising approach for constructing a unified general-purpose MLP for numerous elements, demonstrated through a model (UNEP-v1) for 16 elemental metals and their alloys. To achieve a complete representation of the chemical space, we show, via principal component analysis and diverse test datasets, that employing one-component and two-component systems suffices.

Carbon-Oxygen Radical Assisted Growth of Defect-Free Graphene Films Using Low-Temperature Chemical Vapor Deposition.

Low-temperature chemical vapor deposition growth of graphene films is a long-term pursuit in the graphene synthesis field because of the low energy consumption, short heating-cooling process and low wrinkle density of as-obtained films. However, insufficient energy supply at low temperature (below 850 °C) usually leads to the difficulty in carbon source dissociation, graphene growth, and defect healing. Herein, a Carbon-Oxygen (C─O) radical assisted strategy is proposed for low-temperature growth of defect-free, wrinkle-free, and single-crystalline graphene films by using methanol precursor.

Decision model of public opinion risk in campus social network based on hybrid dynamic deletion and shortest path algorithm.

Aiming at the problem that traditional network public opinion monitoring and searching are inefficient and can easily cause resource waste, the study firstly, through the dynamic deletion-shortest path algorithm to classify network text, and on this basis, innovatively constructs a text sentiment classification model based on the variant of convolutional neural network and recurrent neural network, and secondly, uses attention mechanism to classify the model. improvement of the classification model by using the attention mechanism. The research results show that the average precision rate, recall rate, and F-value of the dynamic deletion-shortest path algorithm are 97.

Oncogenic cholesterol rewires lipid metabolism in hepatocellular carcinoma via the CSNK2A1-IGF2R Ser2484 axis.

Introduction: Alcohol consumption and hepatitis B virus (HBV) infection are common risk factors for hepatocellular carcinoma (HCC). However, few studies have focused on elucidating the mechanisms of HCC with combined alcohol and HBV etiology.

Objectives: We aimed to investigate the molecular features of alcohol and HBV on HCC and to seek out potential therapeutic strategies.

Zinc finger protein 296 promotes hepatocellular carcinoma progression via intervening interaction between macrophages and B cells.

Objective: Hepatocellular carcinoma (HCC) is a prevalent malignancy with poor survival. Different cell types in the tumor microenvironment participate in the tumorigenesis and progression of HCC. This study aimed to analyze the immune microenvironment of HCC and its relationship with clinical outcomes.

Two-Dimensional Topological Platinum Telluride Superstructures with Periodic Tellurium Vacancies for Efficient and Robust Catalysis.

Defect engineering in the inherently inert basal planes of transition metal dichalcogenides (TMDs), involving the introduction of chalcogen vacancies, represents a pivotal approach to enhance catalytic activity by exposing high-density catalytic metal single-atom sites. However, achieving a single-atom limit spacing between chalcogen vacancies to form ordered superstructures remains challenging for creating uniformly distributed high-density metal single-atom sites on TMDs comparable to carbon-supported single-atom catalysts (SACs). Here we unveil an efficient TMD-based topological catalyst for hydrogen evolution reaction (HER), featuring high-density single-atom reactive centers on a few-layer (7 × 7)-PtTe superstructure.

Functional investigation and two-sample Mendelian randomization study of primary biliary cholangitis hub genes.

Background: The identification of specific gene expression patterns is crucial for understanding the mechanisms underlying primary biliary cholangitis (PBC) and finding relevant biomarkers for diagnosis and therapeutic evaluation.

Aim: To determine PBC-associated hub genes and assess their clinical utility for disease prediction.

Methods: PBC expression data were obtained from the Gene Expression Omnibus database.

Dysregulation of pseudouridylation in small RNAs contributes to papillary thyroid carcinoma metastasis.

Background: Previous studies have indicated that ψ-modified small RNAs play crucial roles in tumor metastasis. However, the ψ-modified small RNAs during metastasis of PTC are still unclear.

Methods: We compared the pseudouridine synthase 7 (PUS7) alteration between metastatic and non-metastatic PTCs, and investigated its correlation with clinicopathological features.

Video-based AI module with raw-scale and ROI-scale information for thyroid nodule diagnosis.

Objectives: Ultrasound examination is a primary method for detecting thyroid lesions in clinical practice. Incorrect ultrasound diagnosis may lead to delayed treatment or unnecessary biopsy punctures. Therefore, our objective is to propose an artificial intelligence model to increase the precision of thyroid ultrasound diagnosis and reduce puncture rates.

Hepatocellular carcinoma-specific epigenetic checkpoints bidirectionally regulate the antitumor immunity of CD4 + T cells.

Hepatocellular carcinoma (HCC) is a highly malignant tumor with significant global health implications. The role of CD4 T cells, particularly conventional CD4 T cells (Tconvs), in HCC progression remains unexplored. Furthermore, epigenetic factors are crucial in immune regulation, yet their specific role in HCC-infiltrating Tconv cells remains elusive.

MATR3 promotes liver cancer progression by suppressing DHX58-mediated type I interferon response.

MATR3 is a nuclear matrix protein implicated in various cancers; however, its specific role in tumor progression remains unclear. The study utilized the TCGA database to reveal that MATR3 expression is upregulated in liver cancer and is correlated with poor prognosis. Functionally, MATR3 promoted liver cancer cell proliferation and metastasis.