Quantifying the information transduction of biochemical reaction cascades: transcription of mRNA from ligand stimulation

TL;DR

This paper introduces a novel method to quantify signal transduction in biochemical cascades, linking channel capacity to entropy production and work done, exemplified on the MAPK pathway.

Contribution

It develops a quantitative approach to measure information transfer in biochemical cascades based on entropy and work, advancing understanding of cellular signaling.

Findings

Channel capacities are equivalent and determined by entropy production rate.

Signal transduction correlates with fluctuations in entropy production.

The method successfully quantifies MAPK cascade signal transduction.

Abstract

A cell has the ability to convert an environmental change into the expression of genetic information through a chain of intracellular signal transduction reactions. Here, we aimed to develop a method for quantifying this signal transduction. We showed that the channel capacities of individual steps in a given general model cascade were equivalent in an independent manner, and were given by the entropy production rate. Signal transduction was transmitted by fluctuation of the entropy production rate and quantified transduction was estimated by the work done in individual steps. If the individual step representing the modification to demodification of the signal molecules is considered to be a Szilard engine, the maximal work done is equivalent to the chemical potential change of the messenger that is consumed during the modification reaction. Our method was applicable to calculate the channel capacity of the MAPK cascade. In conclusion, our method is suitable for quantitative analyses of signal transduction.