Noise decomposition of intracellular biochemical signaling networks using nonequivalent reporters.

ABSTRACT: Experimental measurements of biochemical noise have primarily focused on sources of noise at the gene expression level due to limitations of existing noise decomposition techniques. Here, we introduce a mathematical framework that extends classical extrinsic-intrinsic noise analysis and enables mapping of noise within upstream signaling networks free of such restrictions. The framework applies to systems for which the responses of interest are linearly correlated on average, although the framework can be easily generalized to the nonlinear case. Interestingly, despite the high degree of complexity and nonlinearity of most mammalian signaling networks, three distinct tumor necrosis factor (TNF) signaling network branches displayed linearly correlated responses, in both wild-type and perturb

SUBMITTER: Rhee A 

PROVIDER: S-EPMC4260601 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature