One of our two current research areas involves iron metabolism in mitochondria. The iron imported into these organelles is assembled into iron-sulfur clusters and heme prosthetic groups. Some of these centers are exported into the cytosol, while others are installed into mitochondrial apo-proteins. All of these processes are regulated in healthy cells, but various genetic mutations giving rise to diseases can cause iron to accumulate (e.g. Friedreich's ataxia) or become depleted (e.g. Sideroblastic anemia). We have developed a biophysical approach involving Mossbauer, electron paramagnetic resonance, and electronic absorption spectroscopy, to study the entire iron content of intact mitochondria in healthy and genetically altered cells. This Systems Biology approach allows us to characterize the \"iron-ome\" of mitochondria at an unprecedented level of detail. We are also using analytical tools (e.g. liquid chromatography) to identify complexes that are involved in \"trafficking\" iron into and out of the organelle.
Our other research area involves mathematical modeling of cellular self-replication on the mechanistic biochemical level. We collaborate on this multidisciplinary NSF-sponsored project with a mathematician at the University of Houston (Professor Jeffrey Morgan). We have developed a modeling framework that facilitates such modeling efforts, and have designed a number of very simple and symbolic in silico cells that exhibit self-replicative behavior. Our minimal in silico cell model includes just 5 components and 5 reactions. A second generation model includes a more realistic mechanism of mitotic regulation. One novel aspect of our approach is that cellular concentration dynamics impact (and are impacted by) cellular geometry. By minimizing membrane bending energies, we are now calculating cell geometry during growth and division. Our results suggest that the \"pinching\" observed in real cells is enforced by cytoskeletal structures.