# Accuracy of position determination in Ca$^{2+}$ signaling

## TL;DR

This paper theoretically investigates how accurately cells can determine the position of localized extracellular signals through Ca$^{2+}$-mediated phosphorylation, combining stochastic simulations and mean-field analysis.

## Contribution

It introduces a model analyzing spatial phosphorylation patterns in Ca$^{2+}$ signaling, highlighting the role of membrane-bound kinases in positional accuracy.

## Key findings

- Membrane-binding kinases provide more precise position estimates.
- The model explains the higher Ca$^{2+}$ detachment rate compared to phosphorylation rate.
- Spatial phosphorylation distribution depends on kinase localization.

## Abstract

A living cell senses its environment and responds to external signals. In this work, we study theoretically, the precision at which cells can determine the position of a spatially localized transient extracellular signal. To this end, we focus on the case, where the stimulus is converted into the release of a small molecule that acts as a second messenger, for example, Ca$^{2+}$, and activates kinases that change the activity of enzymes by phosphorylating them. We analyze the spatial distribution of phosphorylation events using stochastic simulations as well as a mean-field approach. Kinases that need to bind to the cell membrane for getting activated provide more accurate estimates than cytosolic kinases. Our results could explain why the rate of Ca$^{2+}$ detachment from the membrane-binding conventional Protein Kinase C$\alpha$ is larger than its phosphorylation rate.