Erzsebet Regan

Erzsebet Regan

Whitmore-Williams Assistant Professor in Biology

Department/Affiliation: Biology, BCMB
Phone: 330-263-2092
Office Address: Rubbermaid 117
Email
Website

Degrees

  • B.S., Babes-Bolyai University, 1999
  • M.S., Babes-Bolyai University, 2000
  • Ph.D., University of Notre Dame, 2004

Courses Taught

  • BIOL 111:  Foundations of Biology
  • BIOL 201:  Gateway to Molecular & Cellular Biology
  • BIOL 305:  Cell Physiology
  • IDPT:  FYS

Research Interests

Biological systems, from our bodies to cellular regulatory networks, are built of modules. And modules of modules, a hierarchy. This is great news! It means reductionism is in, sort of, as long as we carefully chop the biological system at its joints. We understand the modules in isolation, and put them together to figure out how the whole system works. Right?

Well. This is yet to work for drug discovery (see “Eroom’s law” for the extent of their troubles). The problem is, when these modules are wired together, they create a system which is strongly dependent on its microenvironment and history. A registry of modules (and their behaviors) is not sufficient to decipher their coordinated response. We need to understand the laws that govern this coordination. Assuming they exist. If and when we uncover general rules that link regulatory modules into hierarchies, we may then be in a position to understand cellular regulation one module at a time, at every level of the hierarchy.

The goal of my research program is to uncover the principles of coordination between cellular phenotypes at multiple scales of organization, and build predictive models of this coordination in health and disease. Specifically:

  1. Computational models of coupled biological circuits, each of which drive small-scale phenotypic switches. The goal is to predict the coordination of module phenotypes and the emergence of complex cell phenotypes at larger scales.
  2. Development of theoretical measures, computational tools, and visualization techniques to aid dynamical modeling of multi-scale, hierarchically organized phenotypes.
  3. Modeling the dynamics of epigenetic marks that turn individual gene promoters ON and OFF.
  4. Measuring, modeling, and predicting the behavior of noise driven mosaic heterogeneity of the vWF gene in vitro and in vivo (in collaboration with William Aird at Beth Israel Deaconess Medical Center / Harvard Medical School and Melinda Varga, postdoctoral fellow at the College of Wooster).