Using an adaptive gene network model for self-organizing multicellular behavior.

TitleUsing an adaptive gene network model for self-organizing multicellular behavior.
Publication TypeJournal Article
Year of Publication2012
AuthorsShin, Y-J, Sayed, AH, and Shen, X
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Start Page5449
Pagination5449 - 5453
Date Published01/2012
Abstract

Using the transient interleukin (IL)-2 secretion of effector T helper (T(eff)) cells as an example, we show that self-organizing multicellular behavior can be modeled and predicted by an adaptive gene network model. Incorporating an adaptation algorithm we established previously, we construct a network model that has the parameter values iteratively updated to cope with environmental change governed by diffusion and cell-cell interactions. In contrast to non-adaptive models, we find that the proposed adaptive model for individual T(eff) cells can generate transient IL-2 secretory behavior that is observed experimentally at the population level. The proposed adaptive modeling approach can be a useful tool in the study of self-organizing behavior observed in other contexts in biology, including microbial pathogenesis, antibiotic resistance, embryonic development, tumor formation, etc.

DOI10.1109/EMBC.2012.6347227
Short TitleAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings