Protocol to differentially quantify spatially resolved viral protein-cellular protein interactions via proximity ligation assays
Year: 2026
Type: article
Abstract: The spatial organization of viral and cellular proteins shapes signal transduction. Here, we present a protocol to quantify differential protein-protein interactions by measuring their spatial association using proximity ligation assays (PLAs). We describe steps for seeding, transfection, proximity labeling, and confocal microscopy imaging and provide procedures for quantitative analysis. Our approach complements co-immunoprecipitation-based interactome data by enabling in situ quantification of differential binding between cellular and viral interaction partners. For complete details on the use and execution of this protocol, please refer to Klute et al. 1 • Assess the frequency of close proximity events between viral and cellular proteins • Quantify relative differences in interactions of protein variants in situ • Detailed suggestions and macros for (semi-)automated PLA quantification • Rapid, flexible system suitable for analyzing virtually any protein-protein interaction Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. The spatial organization of viral and cellular proteins shapes signal transduction. Here, we present a protocol to quantify differential protein-protein interactions by measuring their spatial association using proximity ligation assays (PLAs). We describe steps for seeding, transfection, proximity labeling, and confocal microscopy imaging and provide procedures for quantitative analysis. Our approach complements co-immunoprecipitation-based interactome data by enabling in situ quantification of differential binding between cellular and viral interaction partners.
Source: STAR Protocols
Institutions: Universität Ulm, German Center for Neurodegenerative Diseases
Language: English
Topic: Biotin and Related Studies
Subfield: Cell Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,550
OpenAlex ID: W7128736641
