Cholesterol Depletion Mimics the Effect of Cytoskeletal Destabilization on Membrane Dynamics of the Serotonin1A Receptor: A zFCS Study  Sourav Ganguly,

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Cholesterol Depletion Mimics the Effect of Cytoskeletal Destabilization on Membrane Dynamics of the Serotonin1A Receptor: A zFCS Study  Sourav Ganguly, Amitabha Chattopadhyay  Biophysical Journal  Volume 99, Issue 5, Pages 1397-1407 (September 2010) DOI: 10.1016/j.bpj.2010.06.031 Copyright © 2010 Biophysical Society Terms and Conditions

Figure 1 Area of observation (the diffraction-limited spot). (A) A schematic representation of zFCS. The z axis shown here is the optic axis (perpendicular to the image plane). The diffraction-limited illumination profile of the laser spot is gradually moved along the z axis. Incremental steps in focusing along the z axis results in a parabolic scaling of the projected area illuminated by the diffraction-limited spot. This allows our probing the membrane at increasing length scales, when fluorescence originates predominantly from the plasma membrane. Because the time taken to diffuse through a circular area should scale with the square of the radius, the characteristic diffusion time (τD) for zFCS measurements is related to the projected area illuminated by the diffraction-limited spot on the plane of the plasma membrane (marked by arbitrary z positions). Typical positions of the diffraction-limited spot are highlighted (a, b, and c) at different z positions. (B) Simulated FCS diffusion laws for various membrane models (adapted with permission from (19)). The models for which simulations were performed are: free diffusion; impermeable obstacles (green circles); dynamic partition into domains (green circles); or diffusion confined by the actin cytoskeletal meshwork (regular lattice). (Side panel) Dependence of the diffusion time on the area of observation. The extrapolated intercept to the limit of zero spot size provides a measure of the nature of diffusion experienced by the fluorophore. Biophysical Journal 2010 99, 1397-1407DOI: (10.1016/j.bpj.2010.06.031) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 2 (A) Dependence of lateral diffusion time on the z position of the focus in the case of BODIPY-FL PC in CHO-K1 plasma membranes. Experimental data points (>140) from multiple cells (N > 20) were pooled together and fitted to Eq. 9 (fitted line shown as red solid line). (B) The corresponding plot of lateral diffusion time versus Δz2 (FCS diffusion laws) for data shown in panel A. Data points were fitted to a straight line (shown as red solid line) and extrapolated to determine the origin (i.e., zero spot area) position along the Δz2 axis (see text and Table 1). Also shown: 95% confidence interval (green dashed line) and 95% prediction band (blue dotted line) for the fitted data. Biophysical Journal 2010 99, 1397-1407DOI: (10.1016/j.bpj.2010.06.031) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 3 (A) Dependence of lateral diffusion time on the z position of the focus for 5-HT1AR-EYFP in cells. Experimental data points (>500) from multiple cells (N > 50) were pooled together and fitted to Eq. 9 (fitted line shown as red solid line). (B) The corresponding plot of lateral diffusion time versus Δz2 for data shown in panel A. Data points were fitted to a straight line (shown as red solid line) and extrapolated to determine the intercept (see text and Table 1). Also shown: 95% confidence interval (green dashed line) and 95% prediction band (blue dotted line) for the fitted data. Biophysical Journal 2010 99, 1397-1407DOI: (10.1016/j.bpj.2010.06.031) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 4 (A) Dependence of lateral diffusion time on the z position of the focus for 5-HT1AR-EYFP in cells treated with 10 μM serotonin. Experimental data points (∼70) from multiple cells (N > 10) were pooled together, and fitted to Eq. 9 (fitted line shown as red solid line). (B) The corresponding plot of lateral diffusion time versus Δz2 for data shown in panel A. Data points were fitted to a straight line (shown as red solid line) and extrapolated to determine the intercept (see text and Table 2). Also shown: 95% confidence interval (green dashed line) and 95% prediction band (blue dotted line) for the fitted data. Biophysical Journal 2010 99, 1397-1407DOI: (10.1016/j.bpj.2010.06.031) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 5 Dependence of lateral diffusion time on the z position of the focus for 5-HT1AR-EYFP in cells treated with 5 (A) and 10 (C) μM cytochalasin D (CD). Experimental data points (∼200; for each concentration of CD) from multiple cells (N > 20) were pooled together, and fitted to Eq. 9 (fitted line shown as red solid line). (B and D) Corresponding plots of lateral diffusion time versus Δz2 for data shown in panels A and C. Data points were fitted to a straight line (shown as red solid line) and extrapolated to determine the intercept (see text and Table 2). Also shown: 95% confidence interval (green dashed line) and 95% prediction band (blue dotted line) for the fitted data. Biophysical Journal 2010 99, 1397-1407DOI: (10.1016/j.bpj.2010.06.031) Copyright © 2010 Biophysical Society Terms and Conditions

Figure 6 (A) Dependence of lateral diffusion time on the z position of the focus for 5-HT1AR-EYFP in cells treated with MβCD. The concentration of MβCD used was 5 mM. Experimental data points (∼120) from multiple cells (N > 15) were pooled together, and fitted to Eq. 9 (fitted line shown as red solid line). (B) The corresponding plot of lateral diffusion time versus Δz2 for data shown in panel A. Data points were fitted to a straight line (shown as red solid line) and extrapolated to determine the intercept (see text and Table 2). Also shown: 95% confidence interval (green dashed line) and 95% prediction band (blue dotted line) for the fitted data. Biophysical Journal 2010 99, 1397-1407DOI: (10.1016/j.bpj.2010.06.031) Copyright © 2010 Biophysical Society Terms and Conditions