The Wollman lab measures, models, and manipulates signaling activities at the single-cell level to understand Dynamic Cellular Information Processing. We strive to understand cellular decision making, biological variation, and biological noise using multidisciplinary approaches.
Measure: We develop methods in single-cell fluorescence microscopy in combination with computational image analysis to evaluate the distribution of cellular responses in real-time. The resulting high-throughput datasets are quantified using computational data analysis and interpreted using advanced statistical methods.
Model: We use mathematical mechanistic modeling based on signaling pathway mechanisms to infer and predict the mechanistic details of cellular signaling.
Manipulate: We experimentally investigate a cellular signaling system by manipulating the internal and external cellular environment both spatially and temporally at the single-cell level. Specific approaches include microfluidic devices, genetic and pharmaceutical perturbations, and optogenetics.