A team at Technical University of Munich (TUM) and Helmholtz Munich developed a method to repeatedly obtain updated genetic information from living cells without destroying them. The approach is intended to enable longitudinal monitoring of cellular genetic processes, including tracking stem cell behavior under therapy and observing drug effects over time. The article emphasizes that traditional genetic-process study methods often require cell destruction, which prevents extended observation of dynamics. By contrast, the new workflow supports repeated sampling in the same living cell context. The technique is positioned as a tool for better monitoring—particularly relevant for regenerative medicine where cell state evolution and treatment response can unfold over days to weeks. The work also provides a foundation for improving the translational relevance of preclinical experiments by capturing genetic dynamics in real time rather than end-point snapshots.