Clade-1 Vap virulence proteins of Rhodococcus equi are associated with the cell surface and support intracellular growth in macrophages.

The multi-host pathogen Rhodococcus equi is a parasite of macrophages preventing maturation of the phagolysosome, thus creating a hospitable environment supporting intracellular growth. Virulent R. equi isolated from foals, pigs and cattle harbor a host-specific virulence plasmid, pVAPA, pVAPB and pVAPN respectively, which encode a family of 17 Vap proteins belonging to seven monophyletic clades.

Haplotype-resolved genome of a papeda provides insights into the geographical origin and evolution of Citrus.

The publication of several high-quality genomes has contributed greatly to clarifying the evolution of citrus. However, due to their complex genetic backgrounds, the origins and evolution of many citrus species remain unclear. We assembled de novo the 294-Mbp chromosome-level genome of a more than 200-year-old primitive papeda (DYC002).

SARS-CoV-2 Productively Infects Human Hepatocytes and Induces Cell Death.

SARS-CoV-2 infection is accompanied by elevated liver enzymes, and patients with pre-existing liver conditions experience more severe disease. While it was known that SARS-CoV-2 infects human hepatocytes, our study determines the mechanism of infection, demonstrates viral replication and spread, and highlights direct hepatocyte damage. Viral replication was readily detectable upon infection of primary human hepatocytes and hepatoma cells with the ancestral SARS-CoV-2, Delta, and Omicron variants.

Mitigation of high-fat diet-induced sarcopenia by fruit extracts via autophagic flux and mitochondrial quality control.

Unlabelled: Sarcopenic obesity, encompassing both muscle wasting and obesity, is relevant across individuals. (TS) has been shown to regulate glucose and lipid metabolisms. However, the efficacy and mechanisms of TS fruit (TSF) in sarcopenic obesity are unclear.

Exploration of Cervical Cancer Image Processing and Detection Based on URCNNs.

Background: Cervical cancer is a prevalent malignancy among women, often asymptomatic in early stages, complicating detection.

Objective: This study aims to investigate innovative techniques for early cervical cancer detection using a novel U-RCNNS model.

Methods: Cervical epithelial cell images stained with hematoxylin and eosin (HE) were analyzed using the U-RCNNS model, which integrates U-Net for segmentation and R-CNN for object detection, incorporating dilated convolution techniques.