title: Mathematical models of specificity in cell signaling.
abstract: Cellular signaling pathways transduce extracellular signals into appropriate responses. These pathways are typically interconnected to form networks, often with different pathways sharing similar or identical components. A consequence of this connectedness is the potential for cross talk, some of which may be undesirable. Indeed, experimental evidence indicates that cells have evolved insulating mechanisms to partially suppress "leaking" between pathways. Here we characterize mathematical models of simple signaling networks and obtain exact analytical expressions for two measures of cross talk called specificity and fidelity. The performance of several insulating mechanisms--combinatorial signaling, compartmentalization, the inhibition of one pathway by another, and the selective activation of scaffold proteins--is evaluated with respect to the trade-off between the specificity they provide and the constraints they place on the network. The effects of noise are also examined. The insights gained from this analysis are applied to understanding specificity in the yeast mating and invasive growth MAP kinase signaling network.
authors.affiliation: Department of Developmental and Cell Biology, University of California-Irvine, Irvine, California 92697-2300, USA. bardwell@uci.edu
authors.forename: Lee
authors.initials: L
authors.lastname: Bardwell
authors.forename: Xiufen
authors.initials: X
authors.lastname: Zou
authors.forename: Qing
authors.initials: Q
authors.lastname: Nie
authors.forename: Natalia L
authors.initials: NL
authors.lastname: Komarova
mesh_terms: D003198:Computer Simulation; D005246:Feedback / Q000502:physiology; D008954:Models, Biological; D020543:Proteome / Q000378:metabolism*; D012680:Sensitivity and Specificity; D015398:Signal Transduction / Q000502:physiology*
chemical_list: D020543:Proteome