CONSTRUCTION OF A DYNAMIC MODEL OF IRON METABOLISM FROM EXPERIMENTAL DATA
Naarai Garcia, Anael Verdugo.
California State University Fullerton, Fullerton, CA.
Iron regulation is an important set of chemical reactions that controls iron concentration in the body. Understanding this iron network is important for understanding diseases of iron overload and iron deficiency. Our goal is to create a mathematical model consisting of differential equations in order to identify key regulators in the iron metabolism network. This was accomplished by quantifying experimental data (western blots) in an image-processing program known as ImageJ. We then used our quantification plots to construct a system of differential equations which we numerically analyzed in a computing program known as Matlab. We were then able to fit our quantification results by changing parameters in our model. This enabled us to study the response of our iron network to different iron concentrations, which allowed us to gain a deeper understanding of the dynamics of our iron network.