The Heterotaxy Gene CCDC11 Is Important for Cytokinesis via RhoA Regulation.

Mutations in CCDC11 (cfap53) have been identified in multiple patients with heterotaxy (Htx), a disorder of left-right (LR) patterning of the internal organs. In Xenopus, depletion of Ccdc11 causes defects in LR patterning, recapitulating the patient phenotype. Upon Ccdc11 depletion, monociliated cells of the Left-Right Organizer (LRO) exhibit multiple cilia per cell.

Multiomics profiling of mouse polycystic kidney disease progression at a single-cell resolution.

Autosomal dominant polycystic kidney disease (ADPKD) is the most common hereditary kidney disease and causes significant morbidity, ultimately leading to kidney failure. PKD pathogenesis is characterized by complex and dynamic alterations in multiple cell types during disease progression, hampering a deeper understanding of disease mechanism and the development of therapeutic approaches. Here, we generate a single-nucleus multimodal atlas of an orthologous mouse PKD model at early, mid, and late timepoints, consisting of 125,434 single-nucleus transcriptomic and epigenetic multiomes.

Evaluation of a training programme on the management of infectious and sharp healthcare waste in Tunisia.

Introduction: The management of healthcare waste is a crucial issue for public health and the environment. To minimise risks, it is essential to ensure that the management of healthcare waste is meticulously applied. Additionally, among the evaluation methods adopted by the hospital hygiene department to monitor the degree of compliance.

Place of telemedicine in the organization of emergency care: feasibility and benefits.

Introduction: Telemedicine encompasses all medical practices that allow patients to be remotely cared for through new information and communication technologies. This study aims to assess the remote management of patients consulting emergency services and not requiring in-hospital care during both pre-pandemic and pandemic periods of COVID-19.

Methods: This was a prospective, randomized, controlled study.

An information-theoretic perspective of physical adversarial patches.

Real-world adversarial patches were shown to be successful in compromising state-of-the-art models in various computer vision applications. Most existing defenses rely on analyzing input or feature level gradients to detect the patch. However, these methods have been compromised by recent GAN-based attacks that generate naturalistic patches.