CRISPR-Cas9 has emerged as a powerful tool for genome editing. However, Cas9 genome editing faces challenges, including low efficiency and off-target effects. Here, we report that combined treatment with RAD51, a key factor in homologous recombination, and SCR7, a DNA ligase IV small-molecule inhibitor, enhances CRISPR-Cas9-mediated genome-editing efficiency in human embryonic kidney 293T and human induced pluripotent stem cells, as confirmed by cyro- transmission electron microscopy and functional analyses.
View Article and Find Full Text PDFThe coronavirus disease (COVID-19) pandemic has influenced hospital visiting patterns. Although vaccination has decreased infection rates and disease severity, hospital visiting patterns and associated treatment changes related to orthopedics remain unexplored in the Middle East. Therefore, this study aimed to examine the impact of the COVID-19 pandemic and vaccination on individual departments dealing with musculoskeletal disorders in the United Arab Emirates.
View Article and Find Full Text PDFβ-agonists are anabolic compounds that promote fat loss and muscle gain, and their administration to livestock may provide economic benefits by increasing growth rate and feed efficiency. For these reasons, β-agonists are also commonly added to livestock feed as growth promoters. This can introduce a significant risk of secondary human poisoning through intake of contaminated meat.
View Article and Find Full Text PDFMigration of plasma cells (PCs) is crucial for the control of PC survival and antibody production and is controlled by chemokines, most importantly by CXCL12. This study investigated the role of CD99 in CXCL12-induced PC migration. Among B cell subsets in the tonsils, CD99 expression was highest in PCs.
View Article and Find Full Text PDFLeucine-rich repeat (LRR) receptor-like kinase (RLK) proteins play key roles in a variety of biological pathways. In a previous study, we analyzed the members of the rice LRR-RLK gene family using in silico analysis. A total of 23 LRR-RLK genes were selected based on the expression patterns of a genome-wide dataset of microarrays.
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