Fluorescence Resonance Energy Transfer to Detect Plasma Membrane Perturbations in Giant Plasma Membrane Vesicles

• Published in: Bio-protocol 2023-10, Vol.13 (19), p.e4838-e4838
• Main Authors: Sebastiao, Mathew, Quittot, Noe, Marcotte, Isabelle, Bourgault, Steve
• Format: Article
• Language: English
• Subjects: Biology; Methods
• ISSN: 2331-8325; 2331-8325
• DOI: 10.21769/BioProtoc.4838

Disruptions and perturbations of the cellular plasma membrane by peptides have garnered significant interest in the elucidation of biological phenomena. Typically, these complex processes are studied using liposomes as model membranes-either by encapsulating a fluorescent dye or by other spectroscopic approaches, such as nuclear magnetic resonance. Despite incorporating physiologically relevant lipids, no synthetic model truly recapitulates the full complexity and molecular diversity of the plasma membrane. Here, biologically representative membrane models, giant plasma membrane vesicles (GPMVs), are prepared from eukaryotic cells by inducing a budding event with a chemical stressor. The GPMVs are then isolated, and bilayers are labelled with fluorescent lipophilic tracers and incubated in a microplate with a membrane-active peptide. As the membranes become damaged and/or aggregate, the resulting fluorescence resonance energy transfer (FRET) between the two tracers increases and is measured periodically in a microplate. This approach offers a particularly useful way to detect perturbations when the membrane complexity is an important variable to consider. Additionally, it provides a way to kinetically detect damage to the plasma membrane, which can be correlated with the kinetics of peptide self-assembly or structural rearrangements. Key features • Allows testing of various peptide-membrane interaction conditions (peptide:phospholipid ratio, ionic strength, buffer, etc.) at once. • Uses intact plasma membrane vesicles that can be prepared from a variety of cell lines. • Can offer comparable throughput as with traditional synthetic lipid models (e.g., dye-encapsulated liposomes).