报告题目：The Shapes of Cell Migration
报告摘要：Biologists and pathologists have long relied on cell shape to discern cell phenotypes and states, but the underlying premise of this practice has not been quantitatively tested. Here we show, using cell migration as an example, that a single cell image projected to a low-dimensional shape space can discriminate migration behavior. Cell shape, determined by the interaction of many elements such as the cytoskeleton, cell membrane and adhesion to the substrate and other cells, changes during migration. We analyzed a large number of 2D cell migration images over time and found that the cell shape variation space is low dimensional, and migration behavior can be determined by the coordinates of a single cell image in the low dimensional shape space. We further show that this is possible because persistent cell migration is characterized with long persistence time, low speed variation, spatial-temporally coordinated protrusion and contraction, and a different distribution signature in the cell shape-space. Our findings provide a quantitative underpinning for that a static cell image can discriminate dynamical behavior.