Literature DB >> 19660986

A multi-level model accounting for the effects of JAK2-STAT5 signal modulation in erythropoiesis.

Xin Lai1, Svetoslav Nikolov, Olaf Wolkenhauer, Julio Vera.   

Abstract

We develop a multi-level model, using ordinary differential equations, based on quantitative experimental data, accounting for murine erythropoiesis. At the sub-cellular level, the model includes a description of the regulation of red blood cell differentiation through Epo-stimulated JAK2-STAT5 signalling activation, while at the cell population level the model describes the dynamics of (STAT5-mediated) red blood cell differentiation from their progenitors. Furthermore, the model includes equations depicting the hypoxia-mediated regulation of hormone erythropoietin blood levels. Take all together, the model constitutes a multi-level, feedback loop-regulated biological system, involving processes in different organs and at different organisational levels. We use our model to investigate the effect of deregulation in the proteins involved in the JAK2-STAT5 signalling pathway in red blood cells. Our analysis results suggest that down-regulation in any of the three signalling system components affects the hematocrit level in an individual considerably. In addition, our analysis predicts that exogenous Epo injection (an already existing treatment for several blood diseases) may compensate the effects of single down-regulation of Epo hormone level, STAT5 or EpoR/JAK2 expression level, and that it may be insufficient to counterpart a combined down-regulation of all the elements in the JAK2-STAT5 signalling cascade.

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Year:  2009        PMID: 19660986     DOI: 10.1016/j.compbiolchem.2009.07.003

Source DB:  PubMed          Journal:  Comput Biol Chem        ISSN: 1476-9271            Impact factor:   2.877


  4 in total

1.  A model-based strategy to investigate the role of microRNA regulation in cancer signalling networks.

Authors:  Svetoslav Nikolov; Julio Vera; Ulf Schmitz; Olaf Wolkenhauer
Journal:  Theory Biosci       Date:  2010-08-31       Impact factor: 1.919

2.  The Proteome of a Healthy Human during Physical Activity under Extreme Conditions.

Authors:  I M Larina; V A Ivanisenko; E N Nikolaev; A I Grigorev
Journal:  Acta Naturae       Date:  2014-07       Impact factor: 1.845

3.  Applying systems biology methods to the study of human physiology in extreme environments.

Authors:  Lindsay M Edwards; Ines Thiele
Journal:  Extrem Physiol Med       Date:  2013-03-22

4.  Model-based genotype-phenotype mapping used to investigate gene signatures of immune sensitivity and resistance in melanoma micrometastasis.

Authors:  Guido Santos; Svetoslav Nikolov; Xin Lai; Martin Eberhardt; Florian S Dreyer; Sushmita Paul; Gerold Schuler; Julio Vera
Journal:  Sci Rep       Date:  2016-04-26       Impact factor: 4.379

  4 in total

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