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  5. Systems biology approaches to toll‐like receptor signaling

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Article
English
2012

Systems biology approaches to toll‐like receptor signaling

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English
2012
WIREs Systems Biology and Medicine
Vol 4 (5)
DOI: 10.1002/wsbm.1178

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Akira Shizuo
Akira Shizuo

Osaka University

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Alexis Vandenbon
Shunsuke Teraguchi
Akira Shizuo
+2 more

Abstract

Toll‐like receptor (TLR) signaling pathways constitute an evolutionarily conserved host defense system that protects against a broad range of infectious agents. Modeling of TLR signaling has been carried out at several levels. Structural models of TLRs and their adaptors, which utilize a small number of structural domains to recognize a diverse range of pathogens, provide a starting point for understanding how pathogens are recognized and signaling events initiated. Various experimental and computational techniques have been used to construct models of downstream signal transduction networks from the measurements of gene expression and chromatin structure under resting and perturbed conditions along with predicted regulatory sequence motifs. Although a complete and accurate mathematical model of all TLR signaling pathways has yet to be derived, many important modules have been identified and investigated, enhancing our understanding of innate immune responses. Extensions of these models based on emerging experimental techniques are discussed. WIREs Syst Biol Med 2012 doi: 10.1002/wsbm.1178 This article is categorized under: Models of Systems Properties and Processes > Cellular Models Biological Mechanisms > Cell Signaling Analytical and Computational Methods > Computational Methods Models of Systems Properties and Processes > Mechanistic Models

How to cite this publication

Alexis Vandenbon, Shunsuke Teraguchi, Akira Shizuo, Kiyoshi Takeda, Daron M. Standley (2012). Systems biology approaches to toll‐like receptor signaling. WIREs Systems Biology and Medicine, 4(5), pp. 497-507, DOI: 10.1002/wsbm.1178.

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Publication Details

Type

Article

Year

2012

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

WIREs Systems Biology and Medicine

DOI

10.1002/wsbm.1178

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