Multiplexed Imaging and Single-cell Profiling of Cellular Metabolism
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About the Speaker
Felix J. Hartmann, PhD
Helmholtz Young Investigator
German Cancer Research Center (DKFZ), Heidelberg, Germany
Dr. Hartmann received a BSc and MSc in molecular biotechnology from the University of Heidelberg, Germany and his PhD from the University of Zurich, Switzerland for his research on T cell effector functions in human autoimmune diseases. In 2017, he joined Stanford University as a postdoctoral fellow to study anti-tumor immunity and its metabolic regulation. Since 2021, Dr. Hartmann is an independent group leader at the German Cancer Research Center (DKFZ), Heidelberg, Germany. His research combines single-cell and imaging proteomic technologies with novel biological assays to reveal interactions of immune cells with their local environment and how these interactions impact clinical outcome in human cancer. Most recently, he has developed a novel approach that enables analysis of cellular metabolism in individual cells and with spatial resolution.
Cellular metabolism regulates immune cell activation, differentiation and effector functions, but current metabolic approaches lack single-cell resolution and simultaneous characterization of cellular phenotype. In this webinar you will learn about a novel approach to characterize the metabolic regulome of single cells together with their phenotypic identity. The method, termed single-cell metabolic regulome profiling (scMEP), quantifies proteins that regulate metabolic pathway activity using high-dimensional antibody-based technologies. You will learn how mass cytometry (cytometry by time of flight, CyTOF) was employed to benchmark scMEP against bulk metabolic assays by reconstructing the metabolic remodeling of in vitro-activated naive and memory CD8+ T cells. You will see the approach being applied to clinical samples to identify tissue-restricted, metabolically repressed cytotoxic T cells in human colorectal carcinoma. Combining the method with multiplexed ion beam imaging by time of flight (MIBI-TOF), allowed uncovering of the spatial organization of metabolic programs in human tissues, which indicated exclusion of metabolically repressed immune cells from the tumor–immune boundary. Overall, the approach described in this webinar enables robust approximation of metabolic and functional states in individual cells.
- Understand the concept of metabolic regulome profiling using antibodies and its relationship with cellular metabolism
- See how metabolic regulome profiling was implemented using high-dimensional mass cytometry (CyTOF) and multiplexed ion beam imaging (MIBI)
- Realize the potential of this approach for clinical biomarker discovery
Who Should Attend
Scientists at all levels interested in cellular metabolism, immunology and cancer research, singe-cell analysis and imaging
CMLE Credit: 1.0