Single-cell RNA seq developed to accurately quantify cell-specific drug effects in pancreatic islets

Researchers from Kubicek’s and Bock’s groups at CeMM 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 Genome Biology publication describes their technique to overcome the problem of contaminating RNA molecules in single-cell transcriptomics, allowing for accurate results of dynamic drug responses in pancreatic cells. These findings will support the development of targeted drug therapies for treationg T1 diabetes.