Literature DB >> 17825822

Cellular signaling is potentially regulated by cell density in receptor trafficking networks.

Zhike Zi1, Edda Klipp.   

Abstract

Previous work has shown that receptor trafficking is a potential site for the control of signaling pathways. In most biological experiments, the ligand concentration and cell density vary within a wide range among different systems. However, there is less attention to systematically analyze how much cellular signal response is affected by cell densities. Here, we use a quantitative mathematical model to investigate signal responses in different receptor trafficking networks by simultaneous variations of ligand concentration and cell density. Computational analysis of the model revealed that receptor trafficking networks have potential sigmoid responses to ratio between ligand and surface receptor number per cell, which is a key factor to control the signaling responses in receptor trafficking networks. Furthermore, cell density also affects the robustness of dose-response curve upon the variation of binding affinity.

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Year:  2007        PMID: 17825822     DOI: 10.1016/j.febslet.2007.08.047

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  8 in total

1.  Mathematical modelling and computational study of two-dimensional and three-dimensional dynamics of receptor-ligand interactions in signalling response mechanisms.

Authors:  Pilar García-Peñarrubia; Juan J Gálvez; Jesús Gálvez
Journal:  J Math Biol       Date:  2013-07-28       Impact factor: 2.259

2.  Cellular level models as tools for cytokine design.

Authors:  Mala L Radhakrishnan; Bruce Tidor
Journal:  Biotechnol Prog       Date:  2010 Jul-Aug

3.  Different designs of kinase-phosphatase interactions and phosphatase sequestration shapes the robustness and signal flow in the MAPK cascade.

Authors:  Uddipan Sarma; Indira Ghosh
Journal:  BMC Syst Biol       Date:  2012-07-02

4.  Quantitative analysis of transient and sustained transforming growth factor-β signaling dynamics.

Authors:  Zhike Zi; Zipei Feng; Douglas A Chapnick; Markus Dahl; Difan Deng; Edda Klipp; Aristidis Moustakas; Xuedong Liu
Journal:  Mol Syst Biol       Date:  2011-05-24       Impact factor: 11.429

5.  Spatio-temporal dependence of the signaling response in immune-receptor trafficking networks regulated by cell density: a theoretical model.

Authors:  Pilar García-Peñarrubia; Juan J Gálvez; Jesús Gálvez
Journal:  PLoS One       Date:  2011-07-14       Impact factor: 3.240

6.  Cellular density effect on RGD ligand internalization in glioblastoma for MRI application.

Authors:  Damien Moncelet; Véronique Bouchaud; Philippe Mellet; Emeline Ribot; Sylvain Miraux; Jean-Michel Franconi; Pierre Voisin
Journal:  PLoS One       Date:  2013-12-27       Impact factor: 3.240

Review 7.  Dynamics of TGF-β/Smad signaling.

Authors:  Zhike Zi; Douglas A Chapnick; Xuedong Liu
Journal:  FEBS Lett       Date:  2012-04-09       Impact factor: 4.124

8.  SBML-SAT: a systems biology markup language (SBML) based sensitivity analysis tool.

Authors:  Zhike Zi; Yanan Zheng; Ann E Rundell; Edda Klipp
Journal:  BMC Bioinformatics       Date:  2008-08-15       Impact factor: 3.169

  8 in total

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