Determination of Cell Surface Markers on Circulating Immune Cells as Biomarkers for Disease Monitoring Using Spectral Flow Cytometry

Learn how spectral flow cytometry enables high-dimensional immune profiling to identify disease biomarkers from peripheral blood samples in this 49-minute webinar presented by Dr. Aymeric Silvin from the Gustave Roussy Institute. Discover how this advanced analytical technique provides comprehensive views of circulating immune cell phenotypes with enhanced resolution for disease diagnosis and monitoring. Explore research findings from studies on COVID-19 and Giant Cell Arteritis (GCA) that demonstrate how multi-parametric profiling can identify distinct cell surface markers and phenotypic shifts associated with disease severity and progression. Examine the confirmation that non-classical monocytes and immature neutrophils expressing low CD10 and CD101 correlate with COVID-19 severity, while calprotectin expression and monocyte subsets serve as key predictive markers. Investigate the discovery of a unique neutrophil signature in GCA characterized by CD62L and CD68 overexpression, which potentially offers a blood-based diagnostic tool. Understand how integration with single-cell RNA sequencing data validates surface targets and cytokine signatures at the protein level, bridging fundamental immunological insights with clinical applications to develop robust, non-invasive biomarkers for complex immune-mediated diseases.