One of the current grand challenges in biology is bridging the gap between detailed gene/interaction lists and phenotypic, systems-level behaviors of biological networks.

 

For patterning networks, molecular ensembles must sense and transduce spatial information such as position, direction and distance, which requires integrating information over length scales orders of magnitude larger than the molecules themselves. In most cases, we are only beginning to understand how networks accomplish such tasks, which will require probing and analyzing networks from the molecular to system scale.

 

My lab is taking on this challenge in the context of the conserved PAR polarity network. PAR proteins are essential transducers of spatial information between upstream symmetry-breaking cues and downstream pathways that control polarized processes such as cell migration, asymmetric cell division and tissue architecture. A core feature of this network is the segregation of two antagonistic groups of PAR proteins into opposing membrane domains. By analyzing this network across scales, we aim to identify how core design principles emerge from key molecular activities and behaviors, and in turn how these principles drive robust generation of polarity domains.