Quantifying information accumulation encoded in the dynamics of biochemical signaling.

ABSTRACT: Cellular responses to environmental changes are encoded in the complex temporal patterns of signaling proteins. However, quantifying the accumulation of information over time to direct cellular decision-making remains an unsolved challenge. This is, in part, due to the combinatorial explosion of possible configurations that need to be evaluated for information in time-course measurements. Here, we develop a quantitative framework, based on inferred trajectory probabilities, to calculate the mutual information encoded in signaling dynamics while accounting for cell-cell variability. We use it to understand NFκB transcriptional dynamics in response to different immune threats, and reveal that some threats are distinguished faster than others. Our analyses also suggest specific temporal phase

SUBMITTER: Tang Y 

PROVIDER: S-EPMC7904837 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature