Because of recently developed technologies it is possible to measure the expression levels of thousands of genes in an individual cell at once. This has greatly contributed to our knowledge about the development of different cell types and their involvement in disease. However, it is still unclear which gene expression changes in cells of the same type account for variation in the function and behavior of those cells. This is due to a lack of technology that directly connects an individual cell’s gene expression profile to its behavior. In this project we will develop a method to make this connection.