Coronavirus Information for the UC San Diego Community

Our leaders are working closely with federal and state officials to ensure your ongoing safety at the university. Stay up to date with the latest developments. Learn more.

Stability analysis of a bulk-surface reaction model for membrane protein clustering

TitleStability analysis of a bulk-surface reaction model for membrane protein clustering
Publication TypeJournal Article
Year of Publication2020
AuthorsStolerman L.M, Getz M., Smith SGL, Holst M., Rangamani P.
Volume82
Date Published2020/02
Type of ArticleArticle
ISBN Number0092-8240
Accession NumberWOS:000519123300002
Keywordsaggregation; alzheimers-disease; biology; Bulk-surface models; dimerization; dynamics; Geometric PDE; instabilities; Life Sciences & Biomedicine - Other Topics; Mathematical & Computational; mathematical-model; mechanisms; Membrane protein clustering; oligomerization; Plasma membrane; reaction-diffusion model; stability analysis; Surface diffusion; trafficking
Abstract

Protein aggregation on the plasma membrane (PM) is of critical importance to many cellular processes such as cell adhesion, endocytosis, fibrillar conformation, and vesicle transport. Lateral diffusion of protein aggregates or clusters on the surface of the PM plays an important role in governing their heterogeneous surface distribution. However, the stability behavior of the surface distribution of protein aggregates remains poorly understood. Therefore, understanding the spatial patterns that can emerge on the PM solely through protein-protein interaction, lateral diffusion, and feedback is an important step toward a complete description of the mechanisms behind protein clustering on the cell surface. In this work, we investigate the pattern formation of a reaction-diffusion model that describes the dynamics of a system of ligand-receptor complexes. The purely diffusive ligand in the cytosol can bind receptors in the PM and the resultant ligand-receptor complexes not only diffuse laterally but can also form clusters resulting in different oligomers. Finally, the largest oligomers recruit ligands from the cytosol using positive feedback. From a methodological viewpoint, we provide theoretical estimates for diffusion-driven instabilities of the protein aggregates based on the Turing mechanism. Our main result is a threshold phenomenon, in which a sufficiently high recruitment of ligands promotes the input of new monomeric components and consequently drives the formation of a single-patch spatially heterogeneous steady state.

DOI10.1007/s11538-020-00703-4
Student Publication: 
No
Research Topics: 
sharknado