Prof. Carsten HOPF
Hochschule Mannheim, Germany
Webseite
Programm
"New Trends in Mass Spectrometry Imaging (MSI) Solutions for Translational Medical Research"
Simplification for Non-experts, Single-cell Metabolomics, 3D-MSI of Organoids, and more Analytical Depth for Advanced Spatial Lipidomics.
Mass spectrometry imaging (MSI) has emerged as a powerful technology platform for spatially resolved analysis and visualization of lipids and metabolites in clinical research and pharmaceutical R&D. Advancement of MSI requires steady progress in multiple areas such as instrumentation, specialty chemicals or IT solutions. The talk will therefore focus on four new trends, i) simplification and routinification of MSI workflows for translational clinical research, ii) single-cell metabolomics by MSI, iii) 3D-reconstructed MSI for spheroid/organoid analysis and iv) advancement of high-tech MSI towards more comprehensive compound identification by on-tissue MS/MS.
The talk will cover four corresponding medical research cases: A) a new benchtop mass spectrometer and caged in-source laser-cleavable MALDI matrices with high vacuum stability enable lipid-protein marker-histology analysis on single tissue slice, e.g. in Alzheimer’s research. B) Mass-guided single cell metabolomics of microglia (iPSC-derived and in hippocampal slice cultures) are instrumental for discovery and monitoring of activation markers. C) Spatial analysis of metabolic reprogramming in a colon cancer-fibroblast 3D-biculture model can be achieved by a standardized technology and M2aia software. D) As for high-tech-MSI, the talk will introduce quantum cascade laser (QCL) mid-infrared imaging microscopy for identification and segmentation of regions of interest (ROI). This QCL-guidance enables deep MS/MS lipid characterization and structure elucidation by imaging parallel reaction monitoring and parallel accumulation serial fragmentation (iprm-PASEF) directly on tissue. Finally, to assist in pinpointing areas of a metabolite-of-interest’s increased relative spatial abundance/deficiency in spatial metabolomics, a software for spatial probabilistic mapping of entire lipid classes in MSI will be featured.
Host: Gernot SCHABBAUER
Contact for questions: Helmut KUBISTA