title: Signal detection, modularity, and the correlation between extrinsic and intrinsic noise in biochemical networks.
abstract: We present an expression for the power spectrum of the output signal of a biochemical network, which reveals that the reactions that allow a network to detect biochemical signals, induce correlations between the extrinsic noise of the input signals and the intrinsic noise of the reactions that form the network. We show that anticorrelations between the extrinsic and intrinsic noise enhance the robustness of zero-order ultrasensitive networks to biochemical noise. We discuss the consequences for a modular description of noise transmission using the mitogen-activated protein kinase cascade.
authors.affiliation: FOM Institute for Atomic and Molecular Physics, Kruislaan 407, 1098 SJ Amsterdam, The Netherlands.
authors.forename: Sorin
authors.initials: S
authors.lastname: Tănase-Nicola
authors.forename: Patrick B
authors.initials: PB
authors.lastname: Warren
authors.forename: Pieter Rein
authors.initials: PR
authors.lastname: ten Wolde
mesh_terms: D001671:Biochemistry / Q000379:methods*; D002468:Cell Physiological Phenomena; D003198:Computer Simulation; D020935:MAP Kinase Signaling System / Q000502:physiology*; D020928:Mitogen-Activated Protein Kinases / Q000378:metabolism*; D008954:Models, Biological; D015233:Models, Statistical; D013223:Statistics as Topic; D013269:Stochastic Processes
chemical_list: D020928:Mitogen-Activated Protein Kinases