Granulomas and Model-based derivation of intermitotic time distributions

Rachel Leander
Mathematical Biosciences Institute, The Ohio State University

(January 17, 2013 10:20 AM - 11:15 AM)

Granulomas and Model-based derivation of intermitotic time distributions

Abstract

A granuloma is a collection of immune cells that contains bacteria or other foreign material.  An example is provided by the granulomas of Mycobacterium tuberculosis, a bacteria that infects a third of the world’s population.  Although 90% of Tuberculosis cases are latent, 10% result in active infection.  I will present a simple model of a generic granuloma and discuss efforts to discover why granulomas breakdown to cause active infections.  

The time it takes a cell to divide, or intermitotic time (IMT), is highly variable, even under homogeneous environmental conditions.  I will present a multistep stochastic model of the cell cycle and discuss how the model can be used to explain variability in IMT distributions and study the effect of drug treatment.