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

Xin Lai, Svetoslav Nikolov, Olaf Wolkenhauer, Julio Vera*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

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.

Original languageEnglish
Pages (from-to)312-324
Number of pages13
JournalComputational Biology and Chemistry
Volume33
Issue number4
DOIs
StatePublished - Aug 2009
Externally publishedYes

Keywords

  • Anaemia
  • Cell population dynamics
  • Epo
  • Erythropoiesis
  • Hypoxia
  • Leukaemia
  • Signalling pathways
  • Systems biology

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