Non-equilibrium cluster-cluster aggregation in the presence of anchoring sites

TL;DR

This paper models non-equilibrium cluster aggregation at anchoring sites, deriving size distributions and average sizes through mean-field theory and simulations, with implications for biological systems like synapses.

Contribution

It introduces a mean-field model and rate equations for cluster sizes at anchoring sites, extending understanding of non-equilibrium aggregation in biological contexts.

Findings

Derived an expression for average cluster size based on anchoring site density.

Predicted cluster size distributions using rate equations.

Validated theoretical predictions with particle-based simulations.

Abstract

Non-equilibrium cluster-cluster aggregation of particles diffusing in or at the cell membrane has been hypothesized to lead to domains of finite size in different biological contexts such as lipid rafts, cell adhesion complexes, or postsynaptic domains in neurons. In this scenario, the desorption of particles balances a continuous flux to the membrane, imposing a cut-off on possible aggregate sizes and giving rise to a stationary size distribution. Here, we investigate the case of non-equilibrium cluster-cluster aggregation in two dimensions where diffusing particles and/or clusters remain fixed in space at specific anchoring sites, which should be particularly relevant for synapses but may also be present in other biological or physical systems. Using an effective mean-field description of the concentration field around anchored clusters, we derive an expression for their average size as a function of parameters such as the anchoring site density. We furthermore propose and solve appropriate rate equations that allow us to predict the size distributions of both diffusing and fixed clusters. We confirm our results with particle-based simulations, and discuss potential implications for biological and physical systems.