Researchers from Stefan Kubicek's and Christoph Bock’s groups, at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, have developed a method to accurately assess the effect of specific drugs in isolated pancreatic tissue by using a refined single-cell RNA sequencing method. Their study published in Genome Biology describes the technique that they have developed to overcome the problem of contaminating RNA molecules in single-cell transcriptomics, which allowed for accurate results of dynamic drug responses in pancreatic cells. These findings will support the development of targeted drug therapies for the treatment of Type 1 diabetes in the future.