Box 2. Primer on modeling NF-kappaB pathways using differential equations

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Understanding NF-kappaB signaling via mathematical modeling

Raymond Cheong, Alexander Hoffmann & Andre Levchenko

doi:10.1038/msb.2008.30

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The core of our original model of NF-kappaB signaling is depicted below as a set of linked biochemical reactions. The diagram omits reactions (e.g. dissociation, reactions involving IkappaBbeta and IkappaBalt epsilon) that are present in the full model but are not essential to oscillatory behavior. Complexes are denoted by ':' and generic sources and sinks for synthesis and degradation are denoted by 'Empty set variant.' Rate parameters are shown above their respective reactions, named according to the convention of the original model (Hoffmann et al, 2002). The input into the model is a step increase in IKK, which is a surrogate for TNFalpha stimulation. This allows the first reaction, IKK binding to IkappaBalpha–NF-kappaB complex (a7), to proceed. The steps of phosphorylation, ubiquitination, and proteosomal degradation of IkappaBalpha within this complex are lumped into a single reaction whose products are free IKK and free NF-kappaB (r4). NF-kappaB enters the nucleus, denoted by the suffix 'n' (k1). This leads to synthesis of IkappaB mRNA transcript, denoted by the suffix 't' (tr2). The half-life of the transcript is determined by tr3. Translation leads to synthesis of new IkappaBalpha (tr1), whose half-life is determined by deg1. IkappaBalpha can enter (tp1) and leave (tp2) the nucleus, and in the nucleus, IkappaBalpha is also denoted with the suffix 'n.' Nuclear IkappaBalpha and NF-kappaB associate (a4), and together are exported to the cytoplasm (k2). In all, these steps form a negative feedback loop (also described in Box 1), whose overall sequence is shown by the blue arrow. Mass action kinetics are used to convert these biochemical reactions into a system of ordinary differential equations. For example, the equation for the time rate of change of cytoplasmic IkappaBalpha–NF-kappaB complex is given by

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where the terms show increases in the amount of complex due to association of IkappaBalpha and NF-kappaB (a4) and export of nuclear complex (k2), and decreases in the amount of complex due to association with IKK (a7). Equations are written in this way for each chemical species. In the full version of the original model, similar reactions govern the behavior of IkappaBbeta and IkappaBalt epsilon, resulting in additional differential equations. In this model formulation, the parameters are biochemical rates of association, dissociation, catalysis, transport, synthesis, and degradation. Thus, their values may be quantitatively measured or constrained by biochemical experiments. The procedure we used is summarized in the main text. Finally, to run the model, the initial concentrations of each species must be specified. (Running the model means to numerically solve the differential equations, e.g. with Mathematica's NDSolve function, to determine time courses of the concentrations of each species.) We initialized the model with a biologically plausible total level of NF-kappaB (0.1 muM) with all other concentrations set to zero. The basal state of the cell (non-stimulated) is simulated by running the model starting from this initial state until it reaches steady state. At steady state, NF-kappaB is found in the cytoplasm and nucleus, as well as free or complexed with IkappaB, but is predominantly found complexed in the cytoplasm in accordance with experimental observations. Following a step increase in IKK, the model can be further run to simulate the effects of TNF stimulation.

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