| Literature DB >> 31531398 |
Jan Steinkühler1, Erdinc Sezgin2, Iztok Urbančič2,3, Christian Eggeling2,4,5, Rumiana Dimova1.
Abstract
Regulation of plasma membrane curvature and composition governs essential cellular processes. The material property of bending rigidity describes the energetic cost of membrane deformations and depends on the plasma membrane molecular composition. Because of compositional fluctuations and active processes, it is challenging to measure it in intact cells. Here, we study the plasma membrane using giant plasma membrane vesicles (GPMVs), which largely preserve the plasma membrane lipidome and proteome. We show that the bending rigidity of plasma membranes under varied conditions is correlated to readout from environment-sensitive dyes, which are indicative of membrane order and microviscosity. This correlation holds across different cell lines, upon cholesterol depletion or enrichment of the plasma membrane, and variations in cell density. Thus, polarity- and viscosity-sensitive probes represent a promising indicator of membrane mechanical properties. Additionally, our results allow for identifying synthetic membranes with a few well defined lipids as optimal plasma membrane mimetics.Entities:
Keywords: Membrane biophysics; Membrane structure and assembly
Mesh:
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Year: 2019 PMID: 31531398 PMCID: PMC6744421 DOI: 10.1038/s42003-019-0583-3
Source DB: PubMed Journal: Commun Biol ISSN: 2399-3642
Fig. 1a GPMV formation. Chemically induced cytoskeletal cleavage of the plasma membrane results in the formation of vesicles (arrow), which subsequently detach from the cell (confocal cross-section). All experiments were conducted at room temperature where GPMVs exhibit one liquid phase as seen by homogenous Fast-DiIC18 (green) distribution, the variation of brightness along the contour is due to optical polarization effects. b, c Bending rigidity measurements by analysis of thermally induced membrane undulations. Detected membrane contour (red) is shown overlaid on the phase-contrast image in b. From the contour analysis, the power spectrum (black data in c) is obtained and fitted to Eq. 1 (red curve). d GP measurement on a GPMV membrane. Colour code corresponds to extracted GP map. e, f Fluorescent lifetime of molecular rotor embedded in the GPMV membrane. Colour code in e indicates average fitted rotor lifetime. Lifetime histogram from the whole membrane region of a GPMV (open points) and biexponential fit to the data (red curve) are shown in f. All scale bars indicate 5 μm
Fig. 2Effect of cell confluency, isolation chemicals and cholesterol content on the mechanical and molecular properties of PM membranes. a GPMV bending rigidity values for isolation using 2 mM DTT+25 mM PFA, 2 mM NEM and 2 mM NEM with subsequent addition of 25 mM PFA. b GPMV bending rigidity, GP and rotor lifetime for varying cell densities at the time of GPMV isolation by incubation with 2 mM DTT+25 mM PFA; phase-contrast images (scale bar: 200 µm) of adherent cells before isolation shown below. c Effect of cholesterol extraction (−Chol), enrichment (+Chol) or buffer only (control) treatment of cells before GPMV extraction. Each data point indicates one individual vesicle. Boxes have the conventional meaning of lower 25% and 75% quartile around the population mean value (middle line) and error bars indicate 1.5 std. dev
Fig. 3Correlation between plasma membrane lipid order, reported by C-Laurdan GP, and bending rigidity, and comparison to lipid-only membranes. a Correlation between mean values of C-Laurdan GP, bending rigidity obtained on GPMVs harvested from different cell lines (as indicated by the colour) and at varying cell density as indicated by the filling of the symbol: open—sparse, half-filled—intermediate, solid—confluent. The relation between GP values and the bending rigidity κ is well approximated by κ(GP) = (153 × GP + 2) kBT (adj. R2 ≈ 0.91) shown as dashed line. b Literature values for C-Laurdan GP and bending rigidity of DOPC:Chol (open circles) with increasing fraction of cholesterol from left to right 1:0, 7:3, 5:5 molar ratios, POPC:Chol (triangles) 1:0, 9:1, 2:1, DOPC:SM:Chol (solid square) 7:1:2 and SM:Chol (open blue squares) 9:1, 8:2, 7:3. Data from lipid vesicles (black symbols), RBC lipid extract (orange star), influenza particle (cherry) and Dictyostelium (ochre) are adapted from refs. [20, 23],[79–86]. Dictyostelium PM bending rigidity was estimated from talin-deficient cells[87]. Blue stars indicate values found for GPMVs at varying confluency in this study (same data as in a). Errors bars (std. error) are only shown if known or are significantly smaller than the size of the data point (b). The dashed line is identical to that in a