Mol, M. and Patole , M.S. and Singh, S (2013) Signaling networks in Leishmania macrophages deciphered through integrated systems biology: a mathematical modeling approach. Syst Synth Biol, 7. pp. 185-195.

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Abstract

signaling network. As we all know signaling pathways are well-known abstractions that explain the mechanisms whereby cells respond to signals, collections of pathways form networks, and interactions between pathways in a network, known as cross-talk, enables further complex signaling behaviours. In silico perturbations can help identify sensitive crosstalk points in the network which can be pharmacologically tested. In this study, we have developed a model for immune signaling cascade in leishmaniasis and based upon the interaction analysis obtained through simulation, we have developed a model network, between four signaling pathways i.e., CD14, epidermal growth factor (EGF), tumor necrotic factor (TNF) and PI3 K mediated signaling. Principal component analysis of the signaling network showed that EGF and TNF pathways can be potent pharmacological targets to curb leishmaniasis. The approach is illustrated with a proposed workable model of epidermal growth factor receptor (EGFR) that modulates the immune response. EGFR signaling represents a critical junction between inflammation related signal and potent cell regulation machinery that modulates the expression of cytokines.

Item Type:	Article
Subjects:	Bioinformatics and Proteomics
Depositing User:	Mr. Rameshwar Nema
Date Deposited:	13 Apr 2015 10:53
Last Modified:	03 Jul 2015 06:37
URI:	http://nccs.sciencecentral.in/id/eprint/74

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