Biological systems rely on an influx of energy to build and maintain complex spatio-temporal structures. A striking example of this is the self-organisation of cells into tissues, which relies on an interplay of molecular programs and tissue-level feedback. The mechanistic basis underlying these processes is poorly understood. The recent advent of single-cell sequencing technologies for the first time gives the opportunity to probe these processes with unprecedented molecular resolution in vivo. Biological function, however, relies on collective processes on the cellular scale which emerge from many interactions on the microscopic scale. But what can we learn about such collective processes from detailed empirical information on the molecular scale?
Concepts from non-equilibrium statistical physics provide a powerful framework to understand collective processes underlying the self-organisation of cells. In this research endeavour, we combine the possibilities of novel single-cell technologies with methods from non-equilibrium statistical physics to unveil collective processes regulating cellular behaviour. We apply the theories developed in this research to the regulation of cellular behaviour during embryonic development, regeneration and ageing.