Volume 114, Issue 12, Pages (June 2018)

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Volume 114, Issue 12, Pages 2855-2864 (June 2018) FSCS Reveals the Complexity of Lipid Domain Dynamics in the Plasma Membrane of Live Cells  Philip R. Nicovich, Joanna M. Kwiatek, Yuanqing Ma, Aleš Benda, Katharina Gaus  Biophysical Journal  Volume 114, Issue 12, Pages 2855-2864 (June 2018) DOI: 10.1016/j.bpj.2018.04.050 Copyright © 2018 Biophysical Society Terms and Conditions

Figure 1 FSCS in live COS-7 cells. (A–C) Representative measured and fitted spectra of NR12S in control (A), 7KC-treated (B), and LatB-treated (C) cells are shown as well as reference data from model membranes in Lo (green) and Ld (purple) phases. NR12S was excited at 514 nm, and emission was collected in channels with centers/bandwidths of 552.9/35.6, 579.6/17.8, 597.4/17.8, 615.2/17.8, 637.5/26.7, and 673.1/44.5 nm, respectively. Using the reference data from the model membranes, filter coefficients (A–C, bottom) were calculated so that the cellular spectra could be described as a two-component system (calculated, top). Filter coefficients (bottom) represent the relative weighting for each channel for the Lo (circles) and Ld (squares) spectra, with sums that should equal unity (triangles). Data are representative of at least 12 independent measurements. (D–F) Representative correlations for control (D), 7KC-treated (E), and LatB-treated (F) cells were calculated by applying extracted filter coefficients as in (A)–(C) to yield autocorrelations for the Lo (circle) and Ld (square) components of the cellular data and the corresponding cross correlation (diamonds). Dashed lines indicate autocorrelation decay timescales (t1/2 values). (G) Ratio of autocorrelation amplitudes is shown. (G) A summary of autocorrelation decay timescales is shown. (I) Ratio of autocorrelation decay times is shown. In (G)–(I), each colored symbol is one measurement (n = 13, 12, and 19 for control, 7KC, and LatB conditions, respectively) with mean (black cross) and error bars (black lines) corresponding to 5–95% confidence interval. ∗∗∗p ≤ 0.001 by two-sample t-test. To see this figure in color, go online. Biophysical Journal 2018 114, 2855-2864DOI: (10.1016/j.bpj.2018.04.050) Copyright © 2018 Biophysical Society Terms and Conditions

Figure 2 Simulations of freely diffusing probes in static modeled membranes. (A) Correlations are shown from simulations in which the diffusion rate of the probe differs by environment, but the probes do not change spectral identity after the initial assignment. (B) Correlations from the same simulations are shown, but now with cross talk between spectral channels. (C) A heterogeneous 2D membrane environment is simulated as a 2 × 2 μm semirelaxed binary Ising lattice within a 5 × 5 μm box. The 1/e2 diameter of the simulated Gaussian focal spot is shown in blue. (D) Correlations from simulations in which probes are allowed to diffuse and probe identity at a given time is determined by the lattice identity at the probe’s location. Data are processed as for experimental FSCS data sets, resulting in autocorrelation curves shown in (A), (B), and (D) for the Lo (green) and Ld (purple) components and their cross correlation curves (blue) under the respective simulation conditions. To see this figure in color, go online. Biophysical Journal 2018 114, 2855-2864DOI: (10.1016/j.bpj.2018.04.050) Copyright © 2018 Biophysical Society Terms and Conditions

Figure 3 Simulation results from dynamic domain environments. (A) Correlations from simulations in which dyes are fixed relative to the lattice are shown, but the lattice and probes diffuse through the static observational volume. (B) A representative result from LatB-treated cells shows anticorrelation behavior at short timescales (for experimental details, see Fig. 1). Dashed lines indicate the t1/2 timescales. (C) Correlations from simulations in which probes are additionally allowed to slowly diffuse in addition to switching identities are shown via a hidden Markov model. In (B) and (C), autocorrelation curves for the Lo (green) and Ld (purple) components and cross correlation curves (blue) are shown. To see this figure in color, go online. Biophysical Journal 2018 114, 2855-2864DOI: (10.1016/j.bpj.2018.04.050) Copyright © 2018 Biophysical Society Terms and Conditions

Figure 4 Correlation results from simulations with simultaneous probe diffusion through the modeled domain lattice and diffusion of the underlying domain lattice relative to the observational volume. Autocorrelation curves for the Lo (green) and Ld (purple) components and cross correlation curves (blue) are shown. To see this figure in color, go online. Biophysical Journal 2018 114, 2855-2864DOI: (10.1016/j.bpj.2018.04.050) Copyright © 2018 Biophysical Society Terms and Conditions