Measurement of Protein Transport in Heterogeneous Environments Using Confinement k-Space Image Correlation Spectroscopy

Current models of the cell membrane assume a heterogenous environment such as sphingomyelin and cholesterol-enriched nano- and microdomains, which are thought to functionally sequester proteins. Besides lipid-ordered domains, membrane proteins can interact with protein complexes by transient binding-necessary for their functional role. Here, we show that an extension of k-space Image Correlation Spectroscopy applied to standard fluorescence microscopy image time series can be used to characterize the protein confinement in heterogeneous membranes. To validate this method, we simulated confined diffusion of tracer particles in a system of static microdomains where we varied the domain size, domain density, confinement probability and diffusion coefficients of tracer particles. We show how the kICS correlation function changes with these parameters and gives rise to emergent properties of the system such as apparent domain sizes and characteristic diffusion coefficients. As a validity check, we apply this analysis to study the dynamics of lipid domain-associated glycosylphosphatidyl inositol (GPI)-anchored proteins labeled by green fluorescent proteins (GPI-GFP) in intact COS-7 cell membranes, and upon domain-disrupting enzyme treatments.