Using an adaptive gene network model for self-organizing multicellular behavior.
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.
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- T-Lymphocytes
- Quorum Sensing
- Models, Genetic
- Interleukin-2
- Humans
- Gene Regulatory Networks
- Adaptation, Physiological
Citation
Published In
DOI
EISSN
Publication Date
Volume
Start / End Page
Location
Related Subject Headings
- T-Lymphocytes
- Quorum Sensing
- Models, Genetic
- Interleukin-2
- Humans
- Gene Regulatory Networks
- Adaptation, Physiological