Modeling intercellular interactions in early Mycobacterium infection

Christina Warrender, Stephanie Forrest, Frederick Koster

Research output: Contribution to journalArticle

23 Citations (Scopus)

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

Fingerprint

mycobacterial diseases
Mycobacterium Infections
Infection
Mycobacterium tuberculosis
Tuberculosis
tuberculosis
Pathogens
Random processes
Interaction
Modeling
infection
Stochastic Processes
modeling
Cell
stochastic processes
Simulators
Cells
cells
disease course
Disease Progression

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

Cite this

Modeling intercellular interactions in early Mycobacterium infection. / Warrender, Christina; Forrest, Stephanie; Koster, Frederick.

In: Bulletin of Mathematical Biology, Vol. 68, No. 8, 01.11.2006, p. 2233-2261.

Research output: Contribution to journalArticle

Warrender, Christina ; Forrest, Stephanie ; Koster, Frederick. / Modeling intercellular interactions in early Mycobacterium infection. In: Bulletin of Mathematical Biology. 2006 ; Vol. 68, No. 8. pp. 2233-2261.
@article{0f72b79fb57d4b3b8444e2942256eff5,
title = "Modeling intercellular interactions in early Mycobacterium infection",
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.",
keywords = "Immunology, Stochastic simulation, Tuberculosis",
author = "Christina Warrender and Stephanie Forrest and Frederick Koster",
year = "2006",
month = "11",
day = "1",
doi = "10.1007/s11538-006-9103-y",
language = "English (US)",
volume = "68",
pages = "2233--2261",
journal = "Bulletin of Mathematical Biology",
issn = "0092-8240",
publisher = "Springer New York",
number = "8",

}

TY - JOUR

T1 - Modeling intercellular interactions in early Mycobacterium infection

AU - Warrender, Christina

AU - Forrest, Stephanie

AU - Koster, Frederick

PY - 2006/11/1

Y1 - 2006/11/1

N2 - 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.

AB - 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.

KW - Immunology

KW - Stochastic simulation

KW - Tuberculosis

UR - http://www.scopus.com/inward/record.url?scp=33750735048&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33750735048&partnerID=8YFLogxK

U2 - 10.1007/s11538-006-9103-y

DO - 10.1007/s11538-006-9103-y

M3 - Article

VL - 68

SP - 2233

EP - 2261

JO - Bulletin of Mathematical Biology

JF - Bulletin of Mathematical Biology

SN - 0092-8240

IS - 8

ER -