Pairing experimentation and computational modeling to understand the role of tissue inducer cells in the development of lymphoid organs

Kieran Alden, Jon Timmis, Paul S. Andrews, Henrique Veiga-Fernandes, Mark C. Coles*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (SciVal)

Abstract

The use of genetic tools, imaging technologies and ex vivo culture systems has provided significant insights into the role of tissue inducer cells and associated signaling pathways in the formation and function of lymphoid organs. Despite advances in experimental tech- nologies, the molecular and cellular process orchestrating the formation of a complex three-dimensionaltissueisdifficulttodissectusingcurrentapproaches. Therefore, arobust set of simulation tools have been developed to model the processes involved in lymphoid tissue development. Specifically, the role of different tissue inducer cell populations in the dynamic formation of Peyer's patches has been examined. Utilizing approaches from sys- tems engineering, an unbiased model of lymphoid tissue inducer cell function has been developed that permits the development of emerging behaviors that are statistically not different from that observed in vivo. These results provide the confidence to utilize statis- tical methods to explore how the simulator predicts cellular behavior and outcomes under different physiological conditions. Such methods, known as sensitivity analysis techniques, can provide insight into when a component part of the system (such as a particular cell type, adhesion molecule, or chemokine) begins to have an influence on observed behavior, and quantifies the effect a component part has on the end result: the formation of lymphoid tissue. Through use of such a principled approach in the design, calibration, and analysis of a computer simulation, a robust in silico tool can be developed which can both further the understanding of a biological system being explored, and act as a tool for the generation of hypotheses which can be tested utilizing experimental approaches.

Original languageEnglish
Article numberArticle 172
JournalFrontiers in Immunology
Volume3
Issue numberJUL
DOIs
Publication statusPublished - 2012
Externally publishedYes

Keywords

  • Agent-based modeling
  • Computational modeling
  • Development
  • Lymphoid tissue inducing cells
  • Lymphoid tissue organizer cells
  • Peyer's patches
  • Sensitivity analysis

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