A study conducted bioinformatics analysis on GSE28829 and GSE43292 datasets to identify diagnostic markers and molecular mechanisms in atherosclerosis. Glutamine metabolism-associated genes were analyzed, resulting in 308 differentially expressed genes (DEGs). Weighted Gene Co-expression Network Analysis (WGCNA) and Protein–protein Interaction (PPI) network analysis revealed 27 hub genes, demonstrating high diagnostic values. Enrichment analyses showed associations with muscle-related processes and pathways such as dilated and hypertrophic cardiomyopathy. Immune cell infiltration analysis indicated increased levels in atherosclerosis. Gene Set Enrichment Analysis highlighted dysregulation in multiple signaling pathways. This comprehensive analysis enhances our understanding of atherosclerosis pathogenesis, offering potential diagnostic biomarkers and insights for future therapeutic exploration.
Researchers at the University of Michigan have expanded the use of a gene sequencing method called ribosome profiling to understand protein production in cells. This method, also known as Ribo-seq, has the potential to advance cancer research by identifying new targets for immunotherapy and other treatment approaches. Ribo-seq works by taking a high-resolution snapshot of […]
Next-generation protein sequencing (NGS) is a powerful new technology that can analyze proteins more comprehensively and in detail. This can be a valuable tool for researchers in various fields, including biology, medicine, and forensics.
Electron-beam radiation can be employed to repair nanostructures through a process known as electron-beam-induced deposition or EBID. In EBID, a focused electron beam is directed at the damaged or missing part of the nanostructure. This beam interacts with a precursor gas, causing a chemical reaction that deposits material and restores the structure. It is a […]