Speakers

High plex spatial proteomics is being implemented at an ever-increasing rate in both basic research and in clinical pilot projects. Information about the position of each cell type in a tissue in combination with deep phenotyping of 40+ protein targets at single cell resolution has opened new possibilities for data analysis to reveal disease mechanisms. The added dimension of space allows us to ask novel questions about cellular interactions, cell neighborhoods, and the position of cells in relation to tissue structures. Two technologies that offer spatial proteomics as a service in Switzerland are imaging mass cytometry (IMC) and cyclic immunofluorescence imaging. In this talk, I will introduce these technologies and provide examples of spatial insights from projects at the IMC Platform in Bern. The open-source data analysis pipeline that made these insights possible will be covered along with other analysis solutions.