PhD Thesis Work

Advisor - Steven Munger

Previous work from our lab and collaborating labs has gathered expression and protein quantitative trait loci (eQTL and pQTL, respectively) from diversity outbred (DO) mouse livers and kidneys. These data allow us to discover intricate networks of coregulated proteins. One particularly interesting form of regulation discovered from this study was termed 'stoichiometric buffering.' The concept of stoichiometric buffering is that certain proteins may be stabilized by complex-binding, and are otherwise slated for degradation - therefore it is the lowest expressed binding partner which is the limiting factor in complex abundance. Complexes which seem to function in this manner can be detected computationally by screening for proteins whose abundance is not correlated to its own transcript abundance, but instead by the abundance of another protein.

My current work is on validating our lab's computational predictions through biochemical analysis of several complexes, establishing a sytematized workflow for future validations, and analyzing regions of low predictive power within our DO data set, and developing a web app for accessible browsing of QTL data from our mice.