A Hidden Feedback in Signaling Cascades Is Revealed

Cycles involving covalent modification of proteins are key components of the intracellular signaling machinery. Each cycle is comprised of two interconvertable forms of a particular protein. A classic signaling pathway is structured by a chain or cascade of basic cycle units in such a way that the activated protein in one cycle promotes the activation of the next protein in the chain, and so on. Starting from a mechanistic kinetic description and using a careful perturbation analysis, we have derived, to our knowledge for the first time, a consistent approximation of the chain with one variable per cycle. The model we derive is distinct from the one that has been in use in the literature for several years, which is a phenomenological extension of the Goldbeter-Koshland biochemical switch. Even though much has been done regarding the mathematical modeling of these systems, our contribution fills a gap between existing models and, in doing so, we have unveiled critical new properties of this type of signaling cascades. A key feature of our new model is that a negative feedback emerges naturally, exerted between each cycle and its predecessor. Due to this negative feedback, the system displays damped temporal oscillations under constant stimulation and, most important, propagates perturbations both forwards and backwards. This last attribute challenges the widespread notion of unidirectionality in signaling cascades. Concrete examples of applications to MAPK cascades are discussed. All these properties are shared by the complete mechanistic description and our simplified model, but not by previously derived phenomenological models of signaling cascades.

[1]  Boris N. Kholodenko,et al.  Untangling the signalling wires , 2007, Nature Cell Biology.

[2]  A Goldbeter,et al.  A minimal cascade model for the mitotic oscillator involving cyclin and cdc2 kinase. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[3]  B. Kholodenko,et al.  Quantification of information transfer via cellular signal transduction pathways , 1997, FEBS letters.

[4]  J. Gouzé Positive and Negative Circuits in Dynamical Systems , 1998 .

[5]  Eric Bullinger,et al.  Approximations and their consequences for dynamic modelling of signal transduction pathways. , 2007, Mathematical biosciences.

[6]  H. Westerhoff,et al.  Product dependence and bifunctionality compromise the ultrasensitivity of signal transduction cascades , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[7]  B. Kholodenko,et al.  Negative feedback and ultrasensitivity can bring about oscillations in the mitogen-activated protein kinase cascades. , 2000, European journal of biochemistry.

[8]  F. Bruggeman,et al.  Cancer: a Systems Biology disease. , 2006, Bio Systems.

[9]  Albert Goldbeter,et al.  A biochemical oscillator explains several aspects of Myxococcus xanthus behavior during development. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Reinhart Heinrich,et al.  Mathematical models of protein kinase signal transduction. , 2002, Molecular cell.

[11]  P. Bastiaens,et al.  Growth factor-induced MAPK network topology shapes Erk response determining PC-12 cell fate , 2007, Nature Cell Biology.

[12]  Eduardo Sontag,et al.  Untangling the wires: A strategy to trace functional interactions in signaling and gene networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[13]  B. Kholodenko,et al.  Signaling switches and bistability arising from multisite phosphorylation in protein kinase cascades , 2004, The Journal of cell biology.

[14]  Eduardo Sontag,et al.  Untangling the wires: A strategy to trace functional interactions in signaling and gene networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[15]  O Wolkenhauer,et al.  A systems- and signal-oriented approach to intracellular dynamics. , 2005, Biochemical Society transactions.

[16]  W. Cleland,et al.  The kinetics of enzyme-catalyzed reactions with two or more substrates or products. II. Inhibition: nomenclature and theory. , 1963, Biochimica et biophysica acta.

[17]  H. Sauro,et al.  Quantitative analysis of signaling networks. , 2004, Progress in biophysics and molecular biology.

[18]  U. Bhalla,et al.  Emergent properties of networks of biological signaling pathways. , 1999, Science.

[19]  Akira Sasaki,et al.  Optimal phosphorylation step number of intracellular signal-transduction pathway. , 2005, Journal of theoretical biology.

[20]  Chi-Ying F. Huang,et al.  Ultrasensitivity in the mitogen-activated protein kinase cascade. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[21]  Jehoshua Bruck,et al.  Scaffold proteins may biphasically affect the levels of mitogen-activated protein kinase signaling and reduce its threshold properties. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[22]  D. Koshland,et al.  An amplified sensitivity arising from covalent modification in biological systems. , 1981, Proceedings of the National Academy of Sciences of the United States of America.

[23]  D Gonze,et al.  A model for a network of phosphorylation-dephosphorylation cycles displaying the dynamics of dominoes and clocks. , 2001, Journal of theoretical biology.

[24]  B. Alberts,et al.  Molecular Biology of the Cell (Fifth Edition) , 2008 .

[25]  B. Kholodenko Cell-signalling dynamics in time and space , 2006, Nature Reviews Molecular Cell Biology.

[26]  Vladimir Grubelnik,et al.  Role of cascades in converting oscillatory signals into stationary step-like responses , 2007, Biosyst..

[27]  A. Murray,et al.  Dominoes and clocks: the union of two views of the cell cycle. , 1989, Science.

[28]  Nils Blüthgen,et al.  Effects of sequestration on signal transduction cascades , 2006, The FEBS journal.

[29]  M. Thattai,et al.  Attenuation of noise in ultrasensitive signaling cascades. , 2002, Biophysical journal.

[30]  Liang Qiao,et al.  Bistability and Oscillations in the Huang-Ferrell Model of MAPK Signaling , 2007, PLoS Comput. Biol..

[31]  L. Segel,et al.  Extending the quasi-steady state approximation by changing variables. , 1996, Bulletin of mathematical biology.

[32]  J. Ferrell Tripping the switch fantastic: how a protein kinase cascade can convert graded inputs into switch-like outputs. , 1996, Trends in biochemical sciences.

[33]  W. Cleland,et al.  The kinetics of enzyme-catalyzed reactions with two or more substrates or products. II. Inhibition: nomenclature and theory. , 1963, Biochimica et biophysica acta.

[34]  John J. Tyson,et al.  Modeling Networks of Coupled Enzymatic Reactions Using the Total Quasi-Steady State Approximation , 2007, PLoS Comput. Biol..

[35]  J. Tyson,et al.  Modeling the septation initiation network (SIN) in fission yeast cells , 2007, Current Genetics.

[36]  Nils Blüthgen,et al.  Competing docking interactions can bring about bistability in the MAPK cascade. , 2007, Biophysical journal.

[37]  Thomas Höfer,et al.  Kinetic models of phosphorylation cycles: a systematic approach using the rapid-equilibrium approximation for protein-protein interactions. , 2006, Bio Systems.

[38]  Nils Blüthgen,et al.  How robust are switches in intracellular signaling cascades? , 2003, Journal of theoretical biology.