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Contact information for corresponding author: Yvonne Lange, Department of Pathology, Rush University Medical Center, 1620 W. Harrison St., Chicago, Il 60612, USA. Tel.: 773 667-8346.
Almost all the cholesterol in cellular membranes is associated with phospholipids in simple stoichiometric complexes. This limits the binding of sterol ligands such as filipin and Perfringolysin O (PFO) to a small fraction of the total. We offer a simple mathematical model that characterizes this complexity. It posits that the cholesterol accessible to ligands has two forms: active cholesterol, which is that not complexed with phospholipids; and extractable cholesterol, that which ligands can capture competitively from the phospholipid complexes. Simulations based on the model match published data for the association of PFO oligomers with liposomes, plasma membranes and the isolated endoplasmic reticulum. The model shows how the binding of a probe greatly underestimates cholesterol abundance when its affinity for the sterol is so weak that it competes poorly with the membrane phospholipids. Two examples are the under-staining of plasma membranes by filipin and the failure of domain D4 of PFO to label their cytoplasmic leaflets. Conversely, the exaggerated staining of endolysosomes suggests that their cholesterol, being uncomplexed, is readily available. The model is also applicable to the association of cholesterol with intrinsic membrane proteins. For example, it supports the hypothesis that the sharp threshold in the regulation of homeostatic ER proteins by cholesterol derives from the cooperativity of their binding to the sterol weakly held by the phospholipid. § Thus, the model explicates the complexity inherent in the binding of ligands like PFO and filipin to the small accessible fraction of membrane cholesterol.
Sterols such as cholesterol are major constituents of eukaryotic plasma membrane bilayers, and their association with endogenous proteins and exogenous ligands has been studied extensively; for example, references (
Fantini, J., R. M. Epand, and F. J. Barrantes. 2019. Cholesterol-Recognition Motifs in Membrane Proteins. In Direct Mechanisms in Cholesterol Modulation of Protein Function. A. RosenhouseDantsker and A. N. Bukiya, editors. 3-25.
). It is not always appreciated, however, that such ligands do not bind all of the sterol in a given membrane; rather, as argued below, they only associate with a small fraction thereof, which we call accessible cholesterol. Consequently, probe binding data can be misleading. This complication in the binding of exogenous probes and integral proteins to membrane sterols has yet to be explored systematically. The present study initiates this inquiry using a simple model to simulate experimental data.
The central concept of the model is that the unesterified sterol associates with the polar lipids in biological membranes(
Determination of membrane cholesterol partition coefficient using a lipid vesicle-cyclodextrin binary system: effect of phospholipid acyl chain unsaturation and headgroup composition.
). Absent a better term, these associations are called complexes. Sterol molecules in excess of the stoichiometric capacity of the polar lipids remain dispersed in the bilayer. This uncomplexed sterol has a high chemical activity (fugacity), as manifested by its relatively rapid transfer to other membranes as well as its greatly increased interaction with ligands (
). This fraction has therefore been called active cholesterol. This chemically active sterol circulates throughout the cell where it binds to and cues a manifold of regulatory proteins that mediate sterol homeostasis (
). Small changes in the level of uncomplexed plasma membrane cholesterol at its physiologic threshold (namely, its stoichiometric equivalence with the phospholipids) elicit large feedback responses in the ER and mitochondria. This mechanism maintains the cholesterol in the plasma membrane at its resting level and keeps the endomembranes well below their capacity (
Not only can ligands bind the active cholesterol in excess of the complexation capacity of the phospholipids, but they can compete with the phospholipids for association with the sterol. We refer to the complexed sterol accessible to a ligand as extractable cholesterol. The active excess and extractable fractions together constitute the accessible cholesterol available to ligands (
Of interest here are filipin and perfringolysin O (PFO), two water-soluble probes that bind sterols selectively and are frequently used to track their cellular disposition (
Wade, K. R., E. M. Hotze, and R. K. Tweten. 2015. Perfringolysin O and related cholesterol-dependent cytolysins: mechanism of pore formation. Comprehensive Sourcebook of Bacterial Protein Toxins, 4th Edition: 719-738.
). Upon binding to its sterol target, PFO re-orients and oligomerizes within the bilayer where it forms cytolytic pores composed of rings of 30 or more monomers (
Wade, K. R., E. M. Hotze, and R. K. Tweten. 2015. Perfringolysin O and related cholesterol-dependent cytolysins: mechanism of pore formation. Comprehensive Sourcebook of Bacterial Protein Toxins, 4th Edition: 719-738.
Wade, K. R., E. M. Hotze, and R. K. Tweten. 2015. Perfringolysin O and related cholesterol-dependent cytolysins: mechanism of pore formation. Comprehensive Sourcebook of Bacterial Protein Toxins, 4th Edition: 719-738.
). The binding of PFO to membranes has a hyperbolic dependence on the aqueous concentration of the protein and a sigmoidal dependence on the concentration of the membrane sterol (
). The threshold of this cholesterol dependence varies with the type and relative abundance of the sterol, the type of phospholipid and the ligand, as well as with the pH and other variables (
How interaction of perfringolysin O with membranes is controlled by sterol structure, lipid structure, and physiological low pH: insights into the origin of perfringolysin O-lipid raft interaction.
Transmembrane protein (perfringolysin o) association with ordered membrane domains (rafts) depends upon the raft-associating properties of protein-bound sterol.
We offer a simple general model that describes the binding of a ligand to membrane sterols. Simulations closely matched published data describing the interaction of PFO with cholesterol in two synthetic and two biological membranes using literature values for the relevant parameters. The model is not intended to provide realistic association constants for the ligands. Rather, it provides a conceptual framework that characterizes ligand binding to membrane sterols, clarifies puzzling findings in the literature, and suggests future experiments.
Materials and Methods
A mathematical model for the binding of ligands to membrane sterols
We assume that a ligand (L) associates with cholesterol (C) in competition with membrane phospholipids (P). The relevant parameters are the sterol association constants and stoichiometries both of the phospholipids and the ligand, as well as the possible oligomerization of the latter, as is characteristic of cytolysins. We postulate an association equilibrium:
(1)
where C and P form CPr complexes with a stoichiometry r = 1 or 2 (
). Defining Cu and Pu as the uncomplexed forms of the two lipids, we express the chemical activities of the membrane constituents as dimensionless mole fractions; namely, Cu/α, Pu/α and (CPr) /α where α = (total C + total P). The association constant for complexation is then,
(2)
Two ligands (L) of interest, filipin and PFO, bind the sterol with 1:1 stoichiometry (
Wade, K. R., E. M. Hotze, and R. K. Tweten. 2015. Perfringolysin O and related cholesterol-dependent cytolysins: mechanism of pore formation. Comprehensive Sourcebook of Bacterial Protein Toxins, 4th Edition: 719-738.
where CL represents this association. The ligand is not in the membrane; therefore, the chemical activity of the unbound form, designated as Lu, is taken as its abundance. The association constant for the binding of cholesterol to ligand is
(4)
We also assume that the binding of the ligand to the membrane sterol can result in its oligomerization (
where n is the order of the oligomerization reaction. The equilibrium expression is
(6)
We modeled the binding of monomeric and oligomeric ligands to membrane sterols using Eqs. (1), (2), (3), (4), (5), (6). The computer code is presented in the Supplemental Information. Simulations are numerical solutions computed in MATLAB. We matched simulations to published cholesterol-dependence isotherms for the binding of PFO to various membranes. (See, for example, Figure 1.) The simulations also yielded values for the fraction of a ligand associated with cholesterol as a function of the mole fraction of the sterol in the membrane, the fractional saturation of the ligand, the distribution of the sterol-bound ligand between its monomeric and oligomeric forms, the fraction of cholesterol that is uncomplexed, and the fraction of the phospholipid species associated with the sterol ( shown in the figures where relevant).
Figure 1Modeling the binding of PFO to cholesterol in POPC membranes. Simulations (curves) are compared to experimental data (symbols) from two studies (
Fantini, J., R. M. Epand, and F. J. Barrantes. 2019. Cholesterol-Recognition Motifs in Membrane Proteins. In Direct Mechanisms in Cholesterol Modulation of Protein Function. A. RosenhouseDantsker and A. N. Bukiya, editors. 3-25.
). The best match is curve 5 in Panel A, repeated as curve 5 in Panel B and in its inset. For reference, curve A8 shows uncomplexed cholesterol in the absence of a ligand. The inset in panel B shows a portion of the calculated curves with an expanded scale. Mole % cholesterol = 100 x moles cholesterol/(moles cholesterol + moles phospholipid). The phospholipid was set at unity in all simulations.
Simulated binding isotherms set the abundance of the phospholipid to unity and varied the sterol across its physiologic range. The abundance of PFO was set at 5 x 10-3. This is 1/200 of the phospholipid and typical of many experiments (
). Values for the sterol affinities and stoichiometries of the different membrane phospholipids (KP and CPr in Eq. 2) were taken from published estimates (
). We let the oligomerization constant for PFO 30-mers be KN = 1 x 10111. For each set of these values, the affinity of the probe for the sterol, KL, was varied to match simulations to experimental PFO binding curves by eye. Four attributes were optimized to match a simulated sigmoidal cholesterol-dependence isotherm to the corresponding published data set: its initial slope; the position of its threshold; its midpoint (i.e., 50% rise); and its plateau. (See, for example, Figure 1.)
Each set of values that provided a good match to the experimental data occupied a tight parameter space. That is, as illustrated below, a modest change in any of the parameters typically undermined the fit to the data. Nevertheless, more than one set of values sometimes yielded isotherms closely congruent with experimental data (illustrated by curves 3 to 7 in Figure 1B). Consequently, our estimates of KL and KN are illustrative and not definitive. Furthermore, simulated KL values cannot be directly related to the Kd values reported for PFO binding (
). Thus, since realistic association constants were not sought or delivered, the use of a statistical best-fit analysis to obtain quantitative values was not appropriate. Rather, our goals were qualitative and conceptual: to see if a simple model sufficed to capture the form of ligand binding to membrane cholesterol and to use the model to rationalize puzzling data in the literature.
RESULTS
We used a simple model to test the hypothesis that probes such as PFO do not accurately quantitate biological membrane cholesterol because they only bind a small fraction thereof (see Introduction). We first simulated published data for the association of PFO with liposomes composed of the sterol and different phospholipids; then, plasma membranes and the ER were explored. We not only matched simulations to experimental data but, to illustrate the properties of the model, we tested the influence of the relevant parameters.
Binding of PFO to the cholesterol in POPC membranes
Figure 1 considers a membrane composed of POPC (1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine) and varied cholesterol. , The association of the sterol with the phospholipid in the absence of a ligand is simulated in curve 8 (---) of Figure 1A . The cholesterol is almost entirely complexed with the phospholipid up to a membrane concentration of 50 mole %, the stoichiometric equivalence point of their 1:1 association. Uncomplexed sterol rises rapidly beyond this threshold.
The symbols in Figure 1A give experimental data for the binding of PFO to cholesterol in POPC membranes These data show a threshold that is well below the published equivalence point for POPC of 50 mole % (
). The model suggests that this is because PFO is avid enough to bind the membrane by extracting a portion of the sterol from the phospholipid complexes. The data are simulated well by curve 5 in Figure 1A, using plausible values for the relevant parameters and an oligomerization constant of 30 (Table 1). Not shown, the ligand in simulated curve 5 remains essentially monomeric up to an acute turning point at ∼39 mole % beyond which 30-mers become increasingly dominant.
The behavior of the model is further explored in Figure 1 through alternative simulations in which one parameter was changed at a time. Curve A1 simulates the binding of PFO 30-mers to the cholesterol in a membrane containing a hypothetical phospholipid with negligible sterol affinity; namely, KP = 1. The absence of significant competition by the phospholipid allows strong ligand binding at a very low cholesterol concentration. The curve has very slight sigmoidicity even though ∼90% of the PFO is oligomeric (not shown). Curve A2 shows that a higher sterol affinity for the phospholipid shifts the isotherm for ligand-binding to the right. At the other extreme, ligands with very weak sterol affinity bind poorly until uncomplexed cholesterol becomes available at the stoichiometric equivalence point of the lipids, 50 mole % (curve A7). Increasing the sterol affinity of the probe shifts the isotherm to the left (curves A3 and A5 versus curve 7). Curves A4 and A6 illustrate that monomeric and dimeric ligands bind by extracting cholesterol from phospholipid complexes but their isotherms are less sigmoidal than those of high oligomers (curve A5). As is the case for 30-mers, monomers and dimers of high sterol affinity yield increasingly hyperbolic isotherms, while those with very low affinity resemble curve A7 (not shown).
Point mutations in the D4 domain of PFO have been shown to displace its binding curve, presumably by changing the strength of its association with the sterol (
). Figure 1A illustrates this effect. A four-fold increase in KL shifts the midpoint of curve A3 to the left of the best matched curve, A5, by 12.2 mole % cholesterol. An eight-fold reduction in KL moves the midpoint of curve A7 to the right of curve A5 by 7.9 mole % cholesterol.
Panel B in Figure 1 shows the effect of varying other parameters on the calculated binding of PFO to cholesterol in POPC membranes. Curves B1, B2, B5 and B8 illustrate how competition from increasingly avid phospholipids shifts the isotherm to the right when other parameters are held constant. Curves B3-B7 show that various combinations of KP, KL and KN can offset one another to produce nearly congruent matches to the data. Thus, simulated values for KL and KN are not uniquely determined.
Binding of PFO to cholesterol in DOPC membranes
Figure 2 compares simulations with experimental data for liposomes composed of cholesterol and DOPC (1,2-dioleoyl-sn-glycero-3-phosphocholine) (
). The best match for PFO dimers (curve 1) is weakly sigmoidal. Curve 2 shows a better match using (CL)30 and a published cholesterol stoichiometry for DOPC; namely, C:P = 1:2 (
). A stoichiometry of C:P = 1:1 also approximates the data (curve 4). An even better match is obtained by assuming that DOPC forms cholesterol complexes with two stoichiometries, C:P = 1:1 and C:P = 1:2, in equal proportions (curve 3). Other sterols also form 1:1 complexes with DOPC as well as a mixed stoichiometry of 1:1 and 1:2 (
How interaction of perfringolysin O with membranes is controlled by sterol structure, lipid structure, and physiological low pH: insights into the origin of perfringolysin O-lipid raft interaction.
Figure 2Modeling the binding of PFO to DOPC membranes. The procedure was as described for Figure 1. The symbols depict experimental data from two studies (
Fantini, J., R. M. Epand, and F. J. Barrantes. 2019. Cholesterol-Recognition Motifs in Membrane Proteins. In Direct Mechanisms in Cholesterol Modulation of Protein Function. A. RosenhouseDantsker and A. N. Bukiya, editors. 3-25.
). The stoichiometric equivalence point for C:P = 1:2 is C/P = 0.5 mole/mole or 33 mole %; that for a membrane containing equal proportions of C:P = 1:1 and C:P = 1:2 is C/P = 0.75 mole/mole or 43 mole %. For reference, curve 5 shows uncomplexed cholesterol in the absence of a ligand, assuming C:P = 1:2, and curve 6 shows uncomplexed cholesterol in the absence of a ligand assuming an equimolar mixture of C:P = 1:1 and C:P = 1:2.
). As in Figures 1 and 2, PFO monomers and dimers do not provide satisfactory fits to the data (not shown). However, 30-mers work well (curve 2). Doubling KL shifts the midpoint of the isotherm of curve 1 to the left of curve 2 by 1.9 mole % cholesterol. Reducing the sterol affinity of the ligand by two-thirds moves the midpoint of curve 3 rightward of curve 2 by 2.5 mole % cholesterol. A ligand with very low affinity (curve 4) binds significantly only when uncomplexed cholesterol becomes available (curve 5).
Figure 3Modeling PFO binding to fibroblast plasma membranes. The procedure was as described for Figure 1. The symbols depict experimental data from a published study (
). Curves were calculated using the values for KL in Table 3. A PFO:phospholipid mole ratio was not provided, so we used the value 5 x 10-3 to 1, as above. We assumed that the membranes contain ∼43 mole % cholesterol; hence, C/P ∼0.75 (
Determination of membrane cholesterol partition coefficient using a lipid vesicle-cyclodextrin binary system: effect of phospholipid acyl chain unsaturation and headgroup composition.
Fantini, J., R. M. Epand, and F. J. Barrantes. 2019. Cholesterol-Recognition Motifs in Membrane Proteins. In Direct Mechanisms in Cholesterol Modulation of Protein Function. A. RosenhouseDantsker and A. N. Bukiya, editors. 3-25.
). We assumed the values (CL)30 and KN = 1 x 10111 as before. For reference, curve 5 shows the fraction of uncomplexed cholesterol in the absence of ligand.
The simulation in curve 2 in Figure 3 gave values of ∼7.5% for the uncomplexed fraction of cholesterol and ∼0.6% for the fraction of the sterol bound to PFO at the physiologic set point of the plasma membrane, 43 mole % cholesterol (not shown). The value for the uncomplexed sterol fraction, ∼7.5%, accords with published values (
). In contrast, it has been inferred from a PFO binding study that ∼37% of plasma membrane cholesterol is normally uncomplexed at its resting concentration (
Das, A., M. S. Brown, D. D. Anderson, J. L. Goldstein, and A. Radhakrishnan. 2014. Three pools of plasma membrane cholesterol and their relation to cholesterol homeostasis. Elife: e02882.
). This is five times greater than the present result and the earlier estimates. The published value of 37% was based on the assumption that the fraction of the sterol accessible to PFO was that missing from cells starved of the sterol, since this treatment abrogated the binding of the probe (
Das, A., M. S. Brown, D. D. Anderson, J. L. Goldstein, and A. Radhakrishnan. 2014. Three pools of plasma membrane cholesterol and their relation to cholesterol homeostasis. Elife: e02882.
). However, there is no reason to infer that the missing cholesterol was mostly uncomplexed. Indeed, if a third of plasma membrane cholesterol were free in resting cells, it would be readily available to cholesterol oxidase and methyl-β-cyclodextrin, which is not the case (
). Our model suggests that the rise in PFO binding at ∼38 mole % cholesterol in Figure 3 does not reflect the appearance of super-threshold uncomplexed sterol but, rather, extraction of complexed sterol by the ligand, as illustrated in Figures 1 and 2. We conclude that the value of ∼37% is a large overestimate of the fraction of uncomplexed cholesterol in the resting plasma membrane (
Das, A., M. S. Brown, D. D. Anderson, J. L. Goldstein, and A. Radhakrishnan. 2014. Three pools of plasma membrane cholesterol and their relation to cholesterol homeostasis. Elife: e02882.
The very low threshold value reported for ER cholesterol is of particular interest. Uncomplexed cholesterol circulates throughout the cell, signaling multiple homeostatic proteins therein (
). The ER is the hub of this feedback system. Effectors such as ACAT, HMG-CoA reductase and SREBP-2 are sharply modulated by small changes in ER cholesterol (
). Two non-exclusive mechanisms for this striking finding were proposed in those studies. One is that the phospholipids in the ER, unlike those discussed above, have a stoichiometric equivalence point near 5 mole % cholesterol and that small changes in the uncomplexed ER sterol at that low threshold regulate the homeostatic proteins. If this were the case, however, the ER phospholipids would form C:P complexes of ∼1:20, which is difficult to imagine. The second hypothesis is that cooperativity in the binding of avid multimeric homeostatic proteins to ER cholesterol imposes the observed sharp threshold at ∼5 mole %.
Sokolov et al. went on to show that isolated ER membranes as well as their isolated lipids associate with PFO at ∼5 mole % cholesterol, precisely the threshold observed for SREBP-2 in vivo (
). Figure 4 shows our simulation of these data as a test of the two rival hypotheses. We found that very low values for the ER sterol–phospholipid affinity constant, KP, are required to place the threshold for the binding of PFO 30-mers near 5 mole % cholesterol (Table 4). (More than 90% of the PFO is oligomeric at that point; not shown.) In addition, curve 5 in Figure 4 shows that the uncomplexed form of the cholesterol does not have a threshold in this region, contrary to the prediction of the first hypothesis.
Figure 4Modeling the binding of PFO to ER membranes. The procedure was as described for Figure 1. The symbols depict experimental data from a published study (
). Curves were calculated using the values for KA and KB in Table 4. The values KL = 14, (CL)30 and KN = 1 x 10111 were taken from the best match of PFO binding to DOPC membranes (curve 3 in Figure 2 and Table 2). ER membranes contain diverse glycerophospholipids (
). It was assumed for simplicity that they had equal amounts of phospholipids A and B with stoichiometries of C:P = 1:1 and C:P = 1:2, respectively. For curve 2, we used previously estimated values for KA and KB (
). This curve gave the closest match to the data; the other three curves permuted its values (Table 4). Curve 5 charts the uncomplexed fraction of ER cholesterol (CH) on an expanded scale.
). However, the calculated sterol affinity of the ER phospholipids in Table 4 is orders of magnitude lower than the values in Table 1, Table 2, Table 3 and those generally reported for biological membranes (
). (Such an extraneous factor might be the reason that the experimental data for the ER could not be simulated as closely as those for the membranes shown in Figure 1, Figure 2, Figure 3.) In any case, more experiments are needed to explicate the apparently low KP value for the ER.
Thresholds as low as ∼6 mole % have been reported for the binding of PFO to liposomes composed of equal mixtures of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoserine (POPS) and 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine (POPE) (
). Figure 4 suggests that these low thresholds, like those for the ER, reflect the highly cooperative binding of PFO to very weakly-held cholesterol rather than an unusually low lipid stoichiometry. This could also be the case for oligomeric homeostatic proteins such as Scap (
). Future studies might distinguish between the two mechanisms originally postulated by determining the ER sterol threshold using a non-cooperative probe such as cholesterol oxidase or a low affinity PFO variant such as L491S (
). One mechanism predicts a threshold at ∼5 mole %; the other predicts a much higher one.
DISCUSSION
Applications of the model to probes for plasma membrane cholesterol
Our model encourages a reinterpretation of some puzzling findings in the literature. Consider filipin. The plasma membrane is particularly rich in cholesterol (
). Nevertheless, filipin and a similar macrolide, amphotericin B, label cell surfaces weakly compared to their robust staining of cytoplasmic organelles (
Type-C Niemann-Pick disease: low density lipoprotein uptake is associated with premature cholesterol accumulation in the Golgi complex and excessive cholesterol storage in lysosomes.
). The model suggests an explanation: ligands such as filipin compete poorly with the avid plasma membrane phospholipids for the sterol. Curve 4 in Figure 3 illustrates this premise: a probe with KL = 1 barely binds to plasma membranes at their physiologic setpoint, ∼43 mole % cholesterol. This curve also explains why an enrichment of plasma membrane cholesterol of even 10% promotes strong filipin staining (
). Similarly, curve 4 accords with findings that probes that do not bind membranes strongly (namely, cholesterol oxidase and methyl-β-cyclodextrin) hardly access the complexed cholesterol in the unperturbed cell surface membrane but interact well when a small excess of uncomplexed cholesterol is introduced (
). Likewise, a marginal increase in accessible cholesterol could be the reason that filipin stains cells overexpressing the sterol transporter, ABCG1 and, sometimes, untreated cells (
). This large jump in filipin binding is more likely to reflect an increase in the accessibility of a small pool of uncomplexed cholesterol than a large change in total plasma membrane cholesterol. For the same reason, the total abolition of filipin staining of plasma membranes depleted by cyclodextrin extraction probably reflects a reduction in the small uncomplexed fraction rather than wholesale removal of the sterol (
). That is, a marginal reduction of plasma membrane sterol can significantly reduce the binding of the probe. The same mechanism applies to the decrease in cell surface staining by PFO D4 when delivery of intracellular cholesterol to the plasma membrane is diverted (
). Similarly, the two-fold increase in PFO staining observed in cells overexpressing the cholesterol transporter, ABCA1, is more likely to reflect an increment in the accessible fraction of their plasma membrane cholesterol than a doubling of the total for which there is no room (
). As suggested in one of those studies, some of this dispersion in stain intensity could reflect variation in the accessibility of the cholesterol across the sharp plasma membrane threshold rather than substantial heterogeneity in their total sterol content (
). Our analysis offers an additional explanation: D4 is less avid for the inner leaflet than for the outer. This is modeled in Figure 3. Suppose that curve 2 with KL = 12 depicts the robust binding of D4 to the external surface of plasma membranes while curve 4 with KL = 1 represents its weak binding to the cytoplasmic side. The probe would then associate maximally with one leaflet and minimally with the other. Support for this prediction comes from the report that incrementing plasma membrane cholesterol promotes D4 binding to the inner leaflet (
). Curve 4 accounts for this finding: a small increase in plasma membrane cholesterol above its set point at 43 mole % would foster robust binding. That D4 occasionally stains the cytoplasmic leaflet of the plasma membrane can then be explained by such an incidental enrichment (
). Here, as elsewhere, obtaining a complete isotherm for the sterol dependence of ligand binding would provide a good test of this interpretation.
That D4 has a lower affinity for the cytoplasmic than for the exofacial surface of the plasma membrane might reflect electrostatic repulsion between the negatively-charged contact surface of the protein and the anionic head groups of the phospholipids enriched in the inner leaflet (
). Additional evidence is that the association of D4 with the cytoplasmic leaflet was strengthened by removing an acidic residue; namely, the point mutations D434S and D434A (
). These findings support the general premise that the apparent affinity of a probe for membrane cholesterol is conditioned by the environment of the sterol.
The D434S substitution transforms D4 into D4H, a strong ligand for the cholesterol in both leaflets of the plasma membrane (
). As above, Figure 3 predicts that this can occur when the accessible plasma membrane cholesterol is marginally reduced by an experimental or physiological alteration. A case in point: cytoplasmic mCherry-D4H decorated the cytoplasmic leaflet poorly in control cells but strongly in those overexpressing ORP2, the intermembrane PIP2/sterol exchanger (
). ORP2 moves intracellular cholesterol to the plasma membrane; thus, in those experiments, it could have enriched the sterol beyond the threshold needed for probe binding. While the authors inferred that ORP2 regulates total plasma membrane sterol, our model suggests that it adjusts the level of accessible cholesterol at the physiologic threshold, leaving the major fraction essentially unchanged. This hypothesis could be tested by tracking plasma membrane cholesterol chemically and gauging active cholesterol with a reporter such as cholesterol oxidase.
Recently, D4H was modified with two additional point substitutions to create GST-D4H*-mCherry (
). This variant did not label the plasma membrane well but lit up endolysosomes. In contrast to the authors’ interpretation, our model predicts that the extra modification reduces the sterol affinity of the probe which would therefore stain the plasma membrane less well (curve 4 in Figure 3). Prediction: marginal increments in plasma membrane cholesterol will significantly boost staining by GST-D4H*-mCherry.
Application of the model to the binding of probes to endolysosomes
Filipin and cytolysins light up late endolysosomes whether or not they are engorged with ingested sterol. But why do these probes stain the organelles strongly compared to the cholesterol-rich plasma membrane (
Type-C Niemann-Pick disease: low density lipoprotein uptake is associated with premature cholesterol accumulation in the Golgi complex and excessive cholesterol storage in lysosomes.
)? One reason might be that the sterol in the endolysosomes has been released from its association with ingested lipoproteins and membranes. As illustrated by Curve 1 in Figure 1, sterol molecules free of phospholipid complexes are very accessible to ligands. Indeed, PFO binds membrane-free cholesterol ∼100-times better than that in DOPC liposomes (
The model allows us to conceptualize the association of ligands with membrane sterols, interpret published results and suggest new experiments. The basic premise is that almost all the sterol in the membrane is complexed with phospholipids so that ligands can bind only a small fraction thereof. Accessible cholesterol has two components: that which exceeds the complexation capacity of the phospholipids at their stoichiometric equivalence point (termed active cholesterol) and that which ligands can extract from sterol-phospholipid complexes as they bind (termed extractable cholesterol). Simulations show that PFO associates with the four membranes studied by extracting cholesterol from phospholipid complexes. In contrast, weakly-bound probes such as cholesterol oxidase and methyl-β-cyclodextrin require the active sterol in excess of its stoichiometric equivalence with the phospholipids (
). The complementary roles played by these two forms of accessible cholesterol in the binding of ligands have not previously been clarified.
As seen in the figures, the binding of ligands to membrane cholesterol always has a sigmoidal isotherm. There are three sources of this sigmoidicity. First, titrations generally show a characteristic break at their stoichiometric equivalence point (i.e., at saturation). This threshold is illustrated by curve 8 in Figure 1A and curve 5 in Figure 3. Second, sigmoidicity arises from the cooperative formation of ligand oligomers. This, for example, sharpens the acute rise of curve 5 in Figure 1A. Third, competition by the phospholipids for the sterol inevitably imposes sigmoidicity on a ligand binding isotherm, even when the ligand is monomeric (e.g., curve 6 in Figure 1A) (
). Each of these three types of sigmoidicity plays a role in the regulation of cholesterol homeostasis by the ER. Specifically: (a) The level of ER cholesterol is set by its passive equilibration with the uncomplexed fraction of the plasma membrane sterol exceeding its stoichiometric equivalence point with the phospholipids (
). Similarly, acyl-CoA:cholesterol acyltransferase and 3-hydroxy-3-methylglutaryl coenzyme A reductase have a high order dependence on the ER membrane sterol concentration (
). (c) The model predicts that the activity of some monomeric ER proteins will have a weakly sigmoidal cholesterol dependence below the stoichiometric equivalence point of the phospholipids (see curve 6 in Figure 1A). This hypothesis could be tested by determining the cholesterol dependence of the down-regulation of squalene monooxygenase (
While the simulated association constants for PFO binding and oligomerization lack absolute significance, there is a notable similarity among the KL values best matched to the data for the four membranes (Table 5). This agreement could signify that the probe experiences the cholesterol in diverse membranes in much the same way, differences in the sterol affinities and stoichiometries of the phospholipids notwithstanding. However, this is probably not always the case: the model predicts that the cholesterol affinity of the D4 fragment for the inner leaflet of the plasma membrane is significantly weaker than that for the outer leaflet (see the foregoing discussion). It could be that the predominant phosphorylcholine head groups of the outer surface phospholipids of the membranes examined in Figure 1, Figure 2, Figure 3, Figure 4 provide a similar environment for the sterol, leading to comparable KL values. In contrast, the anionic phospholipids prevalent on the cytoplasmic surfaces of plasma membranes would discourage D4 binding and reduce its apparent KL.
The model suggests why the binding of even an avid ligand can be limited when the membrane cholesterol concentration is far below the stoichiometric equivalence point of the phospholipids and why the binding of a weak ligand can be robust when uncomplexed sterol is available. It also suggests that the relatively poor staining of plasma membranes by filipin reflects its weak affinity for the cholesterol held in tight phospholipid complexes. The conditional failure of D4 to bind to the cytoplasmic surface of the plasma membrane could be another instance of weak competition with the phospholipids while the strong labeling of endolysosomes by filipin is consistent with the availability of uncomplexed cholesterol therein. Despite these complexities, filipin and cytolysins have proved to be highly valuable (
). Going forward, the utility of these probes will increase with the recognition that their binding is limited to the small and dynamic accessible fraction of the membrane sterol, as evident in recent studies (
A wide variety of membrane-intercalated amphiphiles also associate stoichiometrically with phospholipids, as reflected in their one-for-one displacement of cholesterol from its complexes and their ability to substitute for the sterol in bilayers (
). The model predicts that, as is the case for sterols, proteins that bind membrane-intercalated bio-active lipids such as ceramides and arachidonic acid will also have to compete for them with the phospholipids.
The model is generally applicable to the binding of any ligand to membrane sterols. It shows how cholesterol modulates the activity of a variety of integral plasma membrane proteins (
). In the case of the ER, homeostatic proteins bind cholesterol with high affinity and cooperativity so that small changes in their sterol concentration drive large feedback responses (
All data are contained within the article. This article contains supplemental information. A DOI for the software code will be made available after acceptance.
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
The authors are grateful to Aaron Dinner (University of Chicago), Irwin London (Stony Brook University) and Arun Radhakrishnan (University of Texas Southwestern Medical Center) for their valuable feedback on the manuscript.
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