A microfluidic diffusion platform for characterizing the size of lipid vesicles and the thermodynamics of protein-lipid interactions

Authors: Hongze Gang, Céline Galvagnion, Georg Meisl, Thomas Müller, Manuela Pfammatter, Alexander K. Buell, Aviad Levin, Christopher M. Dobson, Bozhong Mu, and Tuomas P. J. Knowles

Anal. Chem., 2018, 90, 3284-3290. DOI: 10.1021/acs.analchem.7b04820 



Elucidation of the fundamental interactions of proteins with biological membranes under native conditions is crucial for understanding the molecular basis of their biological function and malfunction. Notably, the large surface to volume ratio of living cells provides a molecular landscape for significant interactions of cellular components with membranes, thereby potentially modulating their function. However, such interactions can be challenging to probe using conventional biophysical methods due to the heterogeneity of the species and processes involved.

Here, they use direct measurements of micron scale molecular diffusivity to detect and quantify the interactions of α-synuclein, associated with the etiology of Parkinson’s disease, with negatively charged lipid vesicles. They further demonstrate that this microfluidic approach enables the characterization of size distributions of different binary mixtures of vesicles, which are not readily accessible using conventional light scattering techniques.

Finally, the size distributions of the two α-synuclein conformations, free α-synuclein and membrane-bound α-synuclein, were resolved under varying lipid:protein ratios, thus, allowing the determination of the dissociation constant and the binding stoichiometry associated with this protein–lipid system. The microfluidic diffusional sizing platform allows these measurements to be performed on a time scale of minutes using microlitre volumes, thus, establishing the basis for an approach for the study of molecular interactions of heterogeneous systems under native conditions.



Therapeutic area: Protein-lipid interactions

Newsletter sign up

Would you like to be the first to hear about news and product releases from Fluidic Analytics?

Sign up