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

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Shin, Y-J; Sayed, AH; Shen, X

Published Date

  • January 2012

Published In

Volume / Issue

  • 2012 /

Start / End Page

  • 5449 - 5453

PubMed ID

  • 23367162

Pubmed Central ID

  • 23367162

International Standard Serial Number (ISSN)

  • 1557-170X

Digital Object Identifier (DOI)

  • 10.1109/EMBC.2012.6347227

Language

  • eng