Abstract
We have come to the end of this introductory book on immune cell signaling from a systems biology perspective. Chapters 1, 2, 3, 4, 5, 6, 7 and 8 have highlighted that biological pathways are guided by deterministic response waves at the cell population level. These response waves can be modeled using the perturbation-response approach utilizing first-order mass-action equations. From the examples of TLRs, TNF, and TRAIL signaling, it is shown that network topology, rather than reaction parameter values, is crucial for interpreting complex signaling dynamics. In other words, from population cell-average dynamics, we observe simple statistical laws, such as linear response and power law, which are important to shape global response.
Keywords
- Reaction Parameter Values
- Systems Biology Perspective
- Cell Population Level
- Immune Cell Signaling
- TRAIL Signaling
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Selvarajoo, K. (2013). Concluding Remarks. In: Immuno Systems Biology. Systems Biology, vol 3. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7690-0_13
Download citation
DOI: https://doi.org/10.1007/978-1-4614-7690-0_13
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-7459-3
Online ISBN: 978-1-4614-7690-0
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)