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A systems biology approach to analyse amplification in the JAK2-STAT5 signalling pathway

By Julio Vera, Julie Bachmann, Andrea C Pfeifer, Verena Becker, Jose A Hormiga, Nestor V Torres Darias, Jens Timmer, Ursula Klingmüller and Olaf Wolkenhauer
Topics: Research Article
Publisher: BioMed Central
OAI identifier: oai:pubmedcentral.nih.gov:2386439
Provided by: PubMed Central

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Citations

  1. (2006). Cedersund G: Reduction of a biochemical model with preservation of its basic dynamic properties.
  2. (2006). Collecting and organizing systematic sets of protein data. Nat Rev Mol Cell Biol
  3. (2005). Computational processing and error reduction strategies for standardized quantitative data in biological networks.
  4. (2002). CW: Signaling through the JAK/STAT pathway, recent advances and future challenges. Gene
  5. (1998). Development of fractal kinetic theory for enzyme-catalysed reactions and implications for the design of biochemical pathways. Biosystems
  6. (2004). Dinerstein RJ: Optimal Length and Signal Amplification in Weakly Activated Signal Transduction Cascades.
  7. (2002). Enhanced transgene expression in primitive hematopoietic progenitor cells and embryonic stem cells efficiently transduced by optimized retroviral hybrid vectors. Gene Ther
  8. (2006). EO: Kinetic Modeling Using S-systems and Lin-log Approaches.
  9. (1988). Fractal Reaction Kinetics.
  10. (2002). HC: Receptor sensitivity in bacterial chemotaxis.
  11. (2005). Herzel H: Quantitative analysis of ultrasensitive responses.
  12. (2002). Horvath CM: A road map for those who don't know JAK-STAT. Science
  13. (2003). Identification of nucleocytoplasmic cycling as a remote sensor in cellular signaling by data-based modeling. Proc Natl Acad Sci
  14. (1999). IN: An ELISA specific for murine erythropoietin.
  15. (1997). Koszykowski ML: Mechanism reduction via principal component analysis.
  16. (1997). Leibler S: Robustness in simple biochemical networks.
  17. (2006). Lodish HF: Cellular trafficking and degradation of erythropoietin and novel erythropoiesis stimulating protein (NESP).
  18. (1995). Lodish HF: Specific recruitment of SH-PTP1 to the erythropoietin receptor causes inactivation of JAK2 and termination of proliferative signals. Cell
  19. (2004). Molecular biology of erythropoietin.
  20. (1999). Negative regulators of cytokine signal transduction. Cell Mol Life Sci
  21. (1985). Numerical parameter identifiability and estimability: Integrating identifiability, estimability, and optimal sampling design.
  22. (2001). Oncogenic kinase signalling. Nature
  23. (2007). Oncogenic re-wiring of cellular signaling pathways. Oncogene
  24. (1989). Qualitative and quantitative identifiability analysis of nonlinear chemical kinetic models. Chem Eng Comm
  25. (2005). Quantitative data generation for systems biolF nnn tp Xt X t obj k j i kj i i n j n k tp =
  26. (1986). Rate processes on fractals: theory, simulations and experiments.
  27. (2001). Robust amplification in adaptive signal transduction networks.
  28. (1978). System identifiability based on power series expansion of the solution. Mathematical Biosciences
  29. (2007). T: Data-based identifiability analysis of non-lineal dynamical models. Bioinformatics
  30. (2002). TA: Mathematical models of protein kinase signal transduction. Mol Cell
  31. (1997). The role of tyrosine phosphorylation in proliferation and maturation of erythroid progenitor cells–signals emanating from the erythropoietin receptor.
  32. (2007). Wolkenhauer O: Power-Law Models of Signal Transduction Pathways. Cellular Signalling

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