In recent years, the study of cell–cell interactions has become essential for understanding complex biological processes, from immune responses to tumor progression and viral infections.
Current methods, however, cannot simultaneously analyze interactions between heterogeneous cell populations or precisely identify the interacting cell pairs.
The present invention introduces an innovative enzymatic method for intercellular labelling, capable of tracking and identifying multiple interactions between pools of donor and acceptor cells.
Unlike existing tools, it allows precise mapping of interactions even after cell separation.
This technology could significantly enhance the analysis of cellular interactions and support the development of immunotherapeutic, antiviral, and personalized medicine strategies, enabling faster identification of relevant cellular partners and improved understanding of biological networks.
