Abstract
Giant unilamellar vesicles (GUVs) are a widely used model system to interrogate lipid phase behavior, study biomembrane mechanics, reconstitute membrane proteins, and provide a chassis for synthetic cells. It is generally assumed that the composition of individual GUVs is the same as the nominal stock composition, however, there may be significant compositional variability between individual GUVs. Although this compositional heterogeneity likely impacts phase behavior, the function and incorporation of membrane proteins, and the encapsulation of biochemical reactions, it has yet to be directly quantified. To assess heterogeneity, we use secondary ion mass spectrometry (SIMS) to probe the composition of individual GUVs using non-perturbing isotopic labels. Both 13C- and 2H-labeled lipids are incorporated into a ternary mixture, which is then used to produce GUVs via gentle hydration or electroformation. Simultaneous detection of seven different ion species via SIMS allows for the concentration of 13C- and 2H-labeled lipids in single GUVs to be quantified using calibration curves, which correlate ion intensity to composition. Additionally, the relative concentration of 13C- and 2H-labeled lipids is assessed for each GUV via the ion ratio 2H-/13C-, which is highly sensitive to compositional differences between individual GUVs and circumvents the need for calibration using standards. Both quantification methods suggest that gentle hydration produces GUVs with greater compositional variability than those formed by electroformation. However, both gentle hydration and electroformation display compositional variability on the order of 5-15 mol percent.
Supplementary materials
Title
Secondary Ion Mass Spectrometry of Single Giant Unilamellar Vesicles Reveals Compositional Variability Supporting Information
Description
Supplementary Information Includes Information on:
Choice of lipid mixture; Normality Verification for F-tests; Replicate Electroformation and Gentle Hydration Samples; Verification of Absolute Calibration Accuracy; Ternary Monolayers; Effect of Analysis Area on Concentration Distributions; 13C-labeled Lipid comparisons in Pure and Ternary Mixtures; Comparison of Pure POPC Mixtures with different Methods; Detector Counts on Bilayer and Exposed Substrate; Correcting Ternary GUV Compositional Variability; Nanoscale Heterogeneity in Lipid Films; Relation between GUV Patch Size and 13C18-DSPC and 2H31-POPC Concentrations; Assessing the Extent of GUV Mixing during Patch Formation; Tracking Cholesterol Concentration in Triply Labeled Bilayers; Assessing Average 2H31-POPC Concentration in 13C27-CHOL Containing Patches
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