The Signaling Systems Laboratory integrates a variety of experimental and computational approaches to develop a predictive understanding of immune responses at the whole proteome and genome level. Our researchers come from disparate backgrounds and education, but we all study the intricate and powerful systems activated when immune cells are exposed to pathogens.
Immune responses are incredibly dynamic and scalable, involving regulation at scales from single ligand-protein binding up to interactions between cells of hundreds of different subtypes. Multicellular organisms can somehow coordinate these responses to reliably deal with the constant threat of invasive bacteria, viruses, bacteria, protists, and parasites.
Using biological approaches from biochemical assays to sequencing and fluorescence microscopy, in conjunction with cutting-edge bioinformatics and computational modeling, we connect top-down and bottom-up Systems Biology. Data-driven modeling and dynamical systems theory is also the focus of the San Diego Center for Systems Biology (an NIH-funded Center of Excellence) that our P.I. Alexander Hoffmann directs.