Multi-omics profiling in time and space

This project aims to develop experimental techniques and new algorithms to track single cells in space and time by combining spatial transcriptomics (ST) and single-cell RNA sequencing (scRNA-seq). The research could lead to scientific breakthroughs in tissue organization and its disruption in disease, as well as advance the understanding of tissue evolution in general. The project combines generation of novel data with the development of novel and highly powerful computational methods to address fundamental scientific questions relating to the influence and interplay of cellular context and gene expression in healthy and diseased tissue.