Investigating Development in Single Cells (image) Columbia University Caption In (A) individual cells are profiled using mass cytometry, producing a high-dimensional data set in which n properties are measured in each cell. Wanderlust converts this data into a graph in which cells, represented as points connected to their most similar cells. Using this graph structure, Wanderlust is able to place each cell within its chronology of development. Once the cells have been aligned in the chronology, the plot in (B) shows how four key markers gradually change as a cell develops from a hematopoietic stem cell into a naïve B cell. In (C) the newly inferred trajectory reveals previously unrecognized rewiring of regulatory signaling and coordinated changes that can now be recognized as hallmarks of developmental progression. Credit Dana Pe'er, Columbia University Usage Restrictions Contact the media contact for permission. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.