Extrinsic and intrinsic correlations in molecular information transmission

TL;DR

This paper investigates how correlations between molecular receptors affect information transmission about external ligand concentrations, revealing that such correlations have a surprisingly small or negative impact on information content.

Contribution

The study introduces a solvable model demonstrating that receptor correlations do not significantly enhance information, challenging previous assumptions.

Findings

Correlations have a small negative effect on information.

Averaging over multiple receptors nearly matches the informativeness of individual receptor tracking.

Receptor correlations do not substantially increase information about ligand concentration.

Abstract

Cells measure concentrations of external ligands by capturing ligand molecules with cell surface receptors. The numbers of molecules captured by different receptors co-vary because they depend on the same extrinsic ligand fluctuations. However, these numbers also counter-vary due to the intrinsic stochasticity of chemical processes because a single molecule randomly captured by a receptor cannot be captured by another. Such structure of receptor correlations is generally believed to lead to an increase in information about the external signal compared to the case of independent receptors. We analyze a solvable model of two molecular receptors and show that, contrary to this widespread expectation, the correlations have a small and negative effect on the information about the ligand concentration. Further, we show that measurements that average over multiple receptors are almost as informative as those that track the states of every individual one.