Modeling intercellular interactions in early Mycobacterium infection

Christina Warrender, Stephanie Forrest, Frederick Koster

Research output: Contribution to journalArticle

30 Scopus citations

Abstract

Infection with Mycobacterium tuberculosis (Mtb) is characterized by localized, roughly spherical lesions within which the pathogen interacts with host cells. Containment of the infection or progression of disease depends on the behavior of individual cells, which, in turn, depends on the local molecular environment and on contact with neighboring cells. Modeling can help us understand the nonlinear interactions that drive the overall dynamics in this system. Early events in infection are particularly important, as are spatial effects and inherently stochastic processes. We describe a model of early Mycobacterium infection using the CyCells simulator, which was designed to capture these effects. We relate CyCells simulations of the model to several experimental observations of individual components of the response to Mtb.

Original languageEnglish (US)
Pages (from-to)2233-2261
Number of pages29
JournalBulletin of mathematical biology
Volume68
Issue number8
DOIs
StatePublished - Nov 1 2006
Externally publishedYes

Keywords

  • Immunology
  • Stochastic simulation
  • Tuberculosis

ASJC Scopus subject areas

  • Neuroscience(all)
  • Immunology
  • Mathematics(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Environmental Science(all)
  • Pharmacology
  • Agricultural and Biological Sciences(all)
  • Computational Theory and Mathematics

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