Exploring the information transmission properties of noise-induced dynamics: application to glioma differentiation.

ABSTRACT:

Background

Cells operate in an uncertain environment, where critical cell decisions must be enacted in the presence of biochemical noise. Information theory can measure the extent to which such noise perturbs normal cellular function, in which cells must perceive environmental cues and relay signals accurately to make timely and informed decisions. Using multivariate response data can greatly improve estimates of the latent information content underlying important cell fates, like differentiation.

Results

We undertake an information theoretic analysis of two stochastic models concerning glioma differentiation therapy, an alternative cancer treatment modality whose underlying intracellular mechanisms remain poorly understood. Discernible changes in response dynamics, as captu

SUBMITTER: Sai A 

PROVIDER: S-EPMC6610902 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature