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  Host-pathogen systems biology : Logical modelling of hepatocyte growth factor and Helicobacter pylori induced c-Met signal transduction

Franke, R., Mueller, M., Wundrack, N., Gilles, E. D., Klamt, S., Kaehne, T., et al. (2008). Host-pathogen systems biology: Logical modelling of hepatocyte growth factor and Helicobacter pylori induced c-Met signal transduction. BMC Systems Biology, 2: 4. doi:10.1186/1752-0509-2-4.

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This is an Open Access article distributed under the terms of the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.




Franke, R.1, Author
Mueller, M.1, Author
Wundrack, N.1, Author
Gilles, E. D.2, Author              
Klamt, S.2, Author              
Kaehne, T.1, Author
Naumann, M.1, Author
1Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              
2Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155              


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 Abstract: Background The hepatocyte growth factor (HGF) stimulates mitogenesis, motogenesis, and morphogenesis in a wide range of tissues, including epithelial cells, on binding to the receptor tyrosine kinase c-Met. Abnormal c-Met signalling contributes to tumour genesis, in particular to the development of invasive and metastatic phenotypes. The human microbial pathogen Helicobacter pylori can induce chronic gastritis, peptic ulceration and more rarely, gastric adenocarcinoma. The H. pylori effector protein cytotoxin associated gene A (CagA), which is translocated via a type IV secretion system (T4SS) into epithelial cells, intracellularly modulates the c-Met receptor and promotes cellular processes leading to cell scattering, which could contribute to the invasiveness of tumour cells. Using a logical modelling framework, the presented work aims at analysing the c-Met signal transduction network and how it is interfered by H. pylori infection, which might be of importance for tumour development Results A logical model of HGF and H. pylori induced c-Met signal transduction is presented in this work. The formalism of logical interaction hypergraphs (LIH) was used to construct the network model. The molecular interactions included in the model were all assembled manually based on a careful meta-analysis of published experimental results. Our model reveals the differences and commonalities of the response of the network upon HGF and H. pylori induced c-Met signalling. As another important result, using the formalism of minimal intervention sets, phospholipase Cg1 (PLCg1) was identified as knockout target for repressing the activation of the extracellular signal regulated kinase 1/2 (ERK1/2), a signalling molecule directly linked to cell scattering in H. pylori infected cells. The model predicted only an effect on ERK1/2 for the H. pylori stimulus, but not for HGF treatment. This result could be confirmed experimentally in MDCK cells using a specific pharmacological inhibitor ag ainst PLCg1. The in silico predictions for the knockout of two other network components were also verified experimentally. Conclusions This work represents one of the first approaches in the direction of host-pathogen systems biology aiming at deciphering signalling changes brought about by pathogenic bacteria. The suitability of our network model is demonstrated by an in silico prediction of a relevant target against pathogen infection. © 2008 Franke et al; licensee BioMed Central Ltd. [accessed June 6, 2008]


Language(s): eng - English
 Dates: 2008
 Publication Status: Published in print
 Pages: -
 Publishing info: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.1186/1752-0509-2-4
eDoc: 331286
Other: 3/08
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Title: BMC Systems Biology
Source Genre: Journal
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Pages: - Volume / Issue: 2 Sequence Number: 4 Start / End Page: - Identifier: -