The immunomics Lab recently took part in a high-level Advanced Course on Multidimensional Flow Cytometry and Computational Analysis, held from September 9th to 13th, 2024. This course aimed at enhancing both theoretical and practical skills. The course placed particular emphasis on the automated identification of cellular populations—a critical technique to address the growing complexity of multidimensional flow cytometry data.
As the field of flow cytometry evolves, traditional manual gating strategies are being replaced by advanced computational methods, making this course an important resource for scientists working in immunology, oncology, and other biomedical disciplines.During this event, Dr. Davide Raineri, senior member of the Immunomics Lab, gave the lecture: “Multi-Omics in Precision Medicine.” Duringhis presentation, Davide provided insights into the lab’s cutting-edge research on immune profiling in amyotrophic lateral sclerosis (ALS). He detailed how the project utilizes multiparametric flow cytometry to analyze peripheral immune cells in ALS patients, underscoring the limitations of traditional manual gating techniques. Dr. Raineri illustrated how computational, unsupervised analysis can enable a more comprehensive and nuanced characterization of these cells.. He also discussed the lab’s innovative approach of integrating single-cell transcriptomics and proteomics to explore potential biomarkers for ALS.
Sara Nembrini, research fellowat the Immunomics Lab, took part in the course to enhance her knowledge of computational analysis techniques. Through hands-on sessions using software like FlowJo and Crusty, she developed practical data analysis skills crucial for interpreting complex cytometric data.
This experience not only deepened her expertise but also underscores the Immunomics Lab’s commitment to embracing innovative methodologies in its research efforts.
