Phosphoproteomics Mass Spectrometry Study Provides Insights into Early Mechanisms of Infection by Salmonella
Scientists at Kinexus Bioinformatics Corporation (Vancouver, British Columbia, Canada), in collaboration with researchers at the Centre for High Throughput Biology at the University of British Columbia (Vancouver, British Columbia, Canada), investigated the host signaling pathways that are affected by Salmonella enterica, a food-borne bacteria that is a leading cause of food poisoning in North America and around the world.
Scientists at Kinexus Bioinformatics Corporation (Vancouver, British Columbia, Canada), in collaboration with researchers at the Centre for High Throughput Biology at the University of British Columbia (Vancouver, British Columbia, Canada), investigated the host signaling pathways that are affected by Salmonella enterica, a food-borne bacteria that is a leading cause of food poisoning in North America and around the world. The results of the study, using mass spectrometric analyses, revealed that more than 24 percent of 9500 phosphorylation sites tracked in human cells were significantly altered with 20 minutes of Salmonella infection.
Application of Kinexus’s Kinase Predictor algorithm for 493 human protein kinases against each of the top Salmonella-affected phosphosites permitted identification of specific protein kinases that are affected by Salmonella, including the proto-oncogene-encoded protein kinases Pim1. Specific inhibition of Pim1 in follow-up studies was found to mitigate some of the pathogen effects of this bacteria, and implicated this kinase as a possible target for therapeutic drug intervention.
More than 100,000 human phosphosites in more than 14,000 of the 23,000 proteins encoded by the human genome have now been experimentally confirmed. This study has led to the identification of over 6000 previously unknown phosphosites, and these have been posted for open access on the Kinexus PhosphoNET website www.chromatographyonline.com
AI and Satellite Spectroscopy Team Up to Monitor Urban River Pollution in China
April 30th 2025A study from Chinese researchers demonstrates how combining satellite imagery, land use data, and machine learning can improve pollution monitoring in fast-changing urban rivers. The study focuses on non-optically active pollutants in the Weihe River Basin and showcases promising results for remote, data-driven water quality assessments.
New Optical Modeling Method Advances Thin Film Analysis Using Spectroscopic Ellipsometry
April 30th 2025Researchers at Zhejiang University have developed an advanced optical modeling approach using spectroscopic ellipsometry, significantly enhancing the non-destructive analysis of amorphous silicon oxide thin films.
