|Title||Using an adaptive gene network model for self-organizing multicellular behavior.|
|Publication Type||Journal Article|
|Year of Publication||2012|
|Authors||Y-J Shin, AH Sayed, and X Shen|
|Journal||Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings|
|Pagination||5449 - 5453|
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.
|Short Title||Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings|