My main tools are ordinary and partial differential equations. Reduction of biocomplexity through dimensional analysis and perturbation theory produces systems ripe for bifurcation, phase portrait, and numerical analysis. Simulation of complex systems coupled with physical and mathematical interpretation leads to understanding of mechanistic principles.
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Figure 1. Oblique/Apical Dendrite Model. Synaptic stimulation occurs at the distal ends of the oblique dendrite activating metabotropic glutamate receptors resulting in IP3 release which diffuses toward the apical trunk. IP3R are predominately located on the ER in the apical dendrite. A somatic electrode records and may be used to stimulate back propagating action potentials (BPAPs). |
Oxygen deprivation is fatal for many organisms including ourselves. E. coli, however, have mechanisms to adjust and survive, if not thrive, in drastically varying oxygen concentrations. The sensor/regulator proteins and their many downstream influences are schematically realized in Figure 2.
![]() | Figure 2. Influence of Oxygen on E.coli. Along the electron transport chain (ETC) electrons are "backed up" affecting the reduced quinone pool (green). Reduced quinones release the autophosphorylation of ArcB (blue) which translates a phosphate group (red) to ArcA (white). Oligomerized ArcA acts as a transcription factor for many tricarboxylic acid cycle enzymes as well as terminal ETC components. ArcA inhibits low affinty cytochrome oxidase bo3 and activates high affinity cytochrome oxidase bd (purple). Fnr (yellow) also senses oxygen either through direct or indirect means and acts to inhibit both cytochrome oxidases. |
My work with theoreticians and experimentalists in bioengineering and biochemistry has led to the construction of a ordinary differential equation model of the sensor/regulator systems Arc and Fnr, their upregulation of cytochrome oxidase bo3 and bd genes (cyo and cyd, respectively), and the susbsequent feedback onto the sensor/regulator trigger. We find interesting features of the dynamics such as hysteresis and oscillatory behavior which can be readily explained within the model framework (Peercy et al., in revision).
New data from mRNA measurements for cyo and cyd with enhance this model. We aim to expand the model to incorporate oxygen's affect on the regulation of enzymes for the tricarboxylic acid (TCA) cycle. In the process of doing this we will better understand the relationship between the TCA enzyme numbers and their function as measured in C13 labeled steady state flows.
Coronary artery disease often leads to an acute blockage at some level in the brached arteriole tree that feeds the heart muscle. The level of this blockage can correlate with the spatial extent of ischemia (lack of oxygen and nutrients with a loss of waste product removal). The effects of ischemia are graded depending on the extent of collateral blood flow establishing a border zone of ischemia. The variation in properties including potential differences across the border zone creates a current of injury. Such a current under appropriate conditions may lead to spontaneous oscillations, which in turn may lead to arrhythmias (Keener, 2003).
![]() | Figure 3. Schematic of Acute Cardiac Ischemia. A blockage in the coronary arterioles cuts off blood supply to downstream tissue. The most centrally located receptical of the halted blood flow has the highest degree of ischemia. Surrounding tissue is perfused at varying levels depending on collateral blood flow. |
![]() | Figure 4. Experimental Study of Ischemia on a Strip of Cardiac Tissue. |