In silico characterization of resonance energy transfer for disk-shaped membrane domains

Determination of the size of lipid rafts studied through single-molecule FRET simulations

Fluorescence resonance energy transfer (FRET) is a high-resolution technique that allows the characterization of spatial and temporal properties of biological structures and mechanisms. In this work, we developed an in silico single-molecule FRET methodology to study the dynamics of fluorophores inside lipid rafts. We monitored the fluorescence of a single acceptor molecule in the presence of several donor molecules. By looking at the average fluorescence, we selected events with single acceptor and donor molecules, and we used them to determine the raft size in the range of 5-16 nm. We conclude that our method is robust and insensitive to variations in the diffusion coefficient, donor density, or selected fluorescence threshold.

FRET from phase-separated vesicles: An analytical solution for a spherical geometry

Förster resonance energy transfer (FRET) is a powerful tool for investigating heterogeneity in lipid bilayers. In model membrane studies, samples are frequently unilamellar vesicles with diameters of 20-200 nm. It is well-known that FRET efficiency is insensitive to vesicle curvature in uniformly mixed lipid bilayers, and consequently theoretical models for FRET typically assume a planar geometry. Here, we use a spherical harmonic expansion of the acceptor surface density to derive an analytical solution for FRET between donor and acceptor molecules distributed on the surface of a sphere. We find excellent agreement between FRET predicted from the model and FRET calculated from corresponding Monte Carlo simulations, thus validating the model. An extension of the model to the case of a non-uniform acceptor surface density (i.e., a phase-separated vesicle) reveals that FRET efficiency depends on vesicle size when acceptors partition between the coexisting phases, and approaches the efficiency of a uniformly mixed bilayer as the vesicle size decreases. We show that this is an indirect effect of constrained domain size, rather than an intrinsic effect of vesicle curvature. Surprisingly, the theoretical predictions were not borne out in experiments: we did not observe a statistically significant change in FRET efficiency in phase-separated vesicles as a function of vesicle size. We discuss factors that likely mask the vesicle size effect in extruded samples.

Studying Nuclear Receptor Complexes in the Cellular Environment

The ligand-regulated structure and biochemistry of nuclear receptor complexes are commonly determined by in vitro studies of isolated receptors, cofactors, and their fragments. However, in the living cell, the complexes that form are governed not just by the relative affinities of isolated cofactors for the receptor but also by the cell-specific sequestration or concentration of subsets of competing or cooperating cofactors, receptors, and other effectors into distinct subcellular domains and/or their temporary diversion into other cellular activities. Most methods developed to understand nuclear receptor function in the cellular environment involve the direct tagging of the nuclear receptor or its cofactors with fluorescent proteins (FPs) and the tracking of those FP-tagged factors by fluorescence microscopy. One of those approaches, Förster resonance energy transfer (FRET) microscopy, quantifies the transfer of energy from a higher energy "donor" FP to a lower energy "acceptor" FP attached to a single protein or to interacting proteins. The amount of FRET is influenced by the ligand-induced changes in the proximities and orientations of the FPs within the tagged nuclear receptor complexes, which is an indicator of the structure of the complexes, and by the kinetics of the interaction between FP-tagged factors. Here, we provide a guide for parsing information about the structure and biochemistry of nuclear receptor complexes from FRET measurements in living cells.

Membrane Microdomain Structures of Liposomes and Their Contribution to the Cellular Uptake Efficiency into HeLa Cells

The purpose of this study is to obtain a comprehensive relationship between membrane microdomain structures of liposomes and their cellular uptake efficiency. Model liposomes consisting of 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC)/1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC)/cholesterol (Ch) were prepared with various lipid compositions. To detect distinct membrane microdomains in the liposomes, fluorescence-quenching assays were performed at temperatures ranging from 25 to 60 °C using 1,6-diphenyl-1,3,5-hexatriene-labeled liposomes and (2,2,6,6-tetramethylpiperidin-1-yl)oxyl. From the data analysis using the response surface method, we gained a better understanding of the conditions for forming distinct domains (Lo, Ld, and gel phase membranes) as a function of lipid composition. We further performed self-organizing maps (SOM) clustering to simplify the complicated behavior of the domain formation to obtain its essence. As a result, DPPC/DOPC/Ch liposomes in any lipid composition were integrated into five distinct clusters in terms of similarity of the domain structure. In addition, the findings from synchrotron small-angle X-ray scattering analysis offered further insight into the domain structures. As a last phase of this study, an in vitro cellular uptake study using HeLa cells was conducted using SOM clusters' liposomes with/without PEGylation. As a consequence of this study, higher cellular uptake was observed from liposomes having Ch-rich ordered domains.

Design and application of in vivo FRET biosensors to identify protein prenylation and nanoclustering inhibitors

Protein prenylation is required for membrane anchorage of small GTPases. Correct membrane targeting is essential for their biological activity. Signal output of the prenylated proto-oncogene Ras in addition critically depends on its organization into nanoscale proteolipid assemblies of the plasma membrane, so called nanoclusters. While protein prenylation is an established drug target, only a handful of nanoclustering inhibitors are known, partially due to the lack of appropriate assays to screen for such compounds. Here, we describe three cell-based high-throughput screening amenable Förster resonance energy transfer NANOclustering and Prenylation Sensors (NANOPS) that are specific for Ras, Rho, and Rab proteins. Rab-NANOPS provides the first evidence for nanoclustering of Rab proteins. Using NANOPS in a cell-based chemical screen, we now identify macrotetrolides, known ionophoric antibiotics, as submicromolar disruptors of Ras nanoclustering and MAPK signaling.

Detection of nanosized ordered domains in DOPC/DPPC and DOPC/Ch binary lipid mixture systems of large unilamellar vesicles using a TEMPO quenching method

Nanosized ordered domains formed in 1,2-dioleoyl-sn-glycero-3-phosphocholine/1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DOPC/DPPC) and DOPC/cholesterol (Ch) liposomes were characterized using a newly developed (2,2,6,6-tetramethylpiperidin-1-yl)oxyl (TEMPO) quenching method. The membrane fluidity of the DOPC/DPPC liposomes, evaluated by the use of 1,6-diphenyl-1,3,5-hexatriene (DPH), increased significantly above their phase-transition temperature. The fluorescence spectra of 6-lauroyl-2-dimethylamino naphthalene (Laurdan) indicated the formation of an immiscible ordered phase in the DOPC/DPPC (50/50) liposomal membrane at 30 °C. The analysis of the membrane polarity indicated that the surface of the liquid-disordered phase was hydrated whereas that of the ordered phase was dehydrated. DOPC/DPPC and DOPC/Ch (70/30) liposomes exhibited heterogeneous membranes, indicating that nanosized ordered domains formed on the surface of the DOPC/DPPC liposomes. The size of these nanosized ordered domains was estimated using the TEMPO quenching method. Because TEMPO can quench DPH distributed in the disordered phases, the remaining fluorescence from DPH is proportional to the size of the ordered domain. The domain sizes calculated for DOPC/DPPC (50/50), DOPC/DPPC (25/75), DOPC/Ch (70/30), and DOPC/DPPC/Ch (40/40/20) were 13.9, 36.2, 13.2, and 35.5 Å, respectively.

ExiFRET: flexible tool for understanding FRET in complex geometries

Fluorescence resonance energy transfer (FRET) can be utilized to gain low-resolution structural information by reporting on the proximity of molecules or measuring inter- and intramolecular distances. This method exploits the fact that the probability of the energy transfer is related to the separation between the fluorescent molecules. This relationship is well described for a single pair of fluorophores but is complicated in systems containing more than two fluorophores. Here, we present a Monte Carlo calculation scheme that has been implemented through a user-friendly web-based program called ExiFRET that can be used to determine the FRET efficiency in a wide range of fluorophore arrangements. ExiFRET is useful to model FRET for individual fluorophores randomly distributed in two or three dimensions, fluorophores linked in pairs or arranged in regular geometries with or without predefined stoichiometries. ExiFRET can model both uniform distributions and fluorophores that are aggregated in clusters. We demonstrate how this tool can be employed to understand the effect of labeling efficiency on FRET efficiency, estimate relative contributions of inter- and intramolecular FRET, investigate the structure of multimeric proteins, stoichiometries, and oligomers, and to aid experiments studying the aggregation of lipids and proteins in membrane environments. We also present an extension that can be used to study instances in which fluorophores have constrained orientations.

FRET in Membrane Biophysics: An Overview

Förster resonance energy transfer (FRET), in most applications used as a “spectroscopic ruler,” allows an easy determination of the donor-acceptor intermolecular distance. However, the situation becomes complex in membranes, since around each donor there is an ensemble of acceptors at non-correlated distances. In this review, state-of-the-art methodologies for this situation are presented, usually involving time-resolved data and model fitting. This powerful approach can be used to study the occurrence of phase separation (“rafts” or other type of domains), allowing their detection as well as size evaluation. Formalisms for studying lipid–protein and protein–protein interactions according to specific topologies are also addressed. The advantages and added complexity of a specific type of FRET (energy homotransfer or energy migration) are described, as well as applications of FRET under the microscope.

Visualization of Protein Interactions in Living Cells

Ligand binding to cell membrane receptors sets off a series of protein interactions that convey the nuances of ligand identity to the cell interior. The information may be encoded in conformational changes, the interaction kinetics and, in the case of multichain immunoreceptors, by chain rearrangements. The signals may be modulated by dynamic compartmentalization of the cell membrane, cellular architecture, motility, and activation-all of which are difficult to reconstitute for studies of receptor signaling in vitro. In this paper, we will discuss how protein interactions in general and receptor signaling in particular can be studied in living cells by different fluorescence imaging techniques. Particularly versatile are methods that exploit Förster resonance energy transfer (FRET), which is exquisitely sensitive to the nanometer-range proximity and orientation between fluorophores. Fluorescence correlation microscopy (FCM) can provide complementary information about the stoichiometry and diffusion kinetics of large complexes, while bimolecular fluorescence complementation (BiFC) and other complementation techniques can capture transient interactions. A continuing challenge is extracting from the imaging data the quantitative information that is necessary to verify different models of signal transduction.

Comparison between whole distribution- and average-based approaches to the determination of fluorescence resonance energy transfer efficiency in ensembles of proteins in living cells

Current methods for analysis of data from studies of protein-protein interactions using fluorescence resonance energy transfer (FRET) emerged from several decades of research using wide-field microscopes and spectrofluorometers to measure fluorescence from individual cells or cell populations. Inherent to most measurements is an averaging of the distributions of FRET efficiencies over large populations of protein complexes, which washes out information regarding the stoichiometry and structure of protein complexes. Although the introduction of laser-scanning microscopes in principle could facilitate quantification of the distributions of FRET efficiencies in live cells, only comparatively recently did this potential fully materialize, through development of spectral- or lifetime-based approaches. To exploit this new opportunity in molecular imaging, it is necessary to further develop theoretical models and methods of data analysis. Using Monte Carlo simulations, we investigated FRET in homogenous and inhomogeneous spatial distributions of molecules. Our results indicate that an analysis based on distributions of FRET efficiencies presents significant advantages over the average-based approach, which include allowing for proper identification of biologically relevant FRET. This study provides insights into the effect of molecular crowding on FRET, and it offers a basis for information extraction from distributions of FRET efficiencies using simulations-based data fitting.

Enhancing protein stability by adsorption onto raftlike lipid domains

We demonstrate that the stability of adsorbed proteins can be enhanced by controlling the heterogeneity of the surfaceby creating raftlike domains in a soft liposomal membrane. Recent work has shown that enzymes adsorbed onto highly curved nanoscale supports can be more stable than those adsorbed on flat surfaces with nominally the same chemical structure. This effect has been attributed to a decrease in lateral interenzyme interactions on a curved surface. Exploiting this idea, we asked if adsorbing enzymes onto "patchy" surfaces composed of adsorbing and nonadsorbing regions can be used to reduce lateral interactions even on relatively flat surfaces. We demonstrate that creating domains on which an enzyme can adsorb enhances the stability of that enzyme under denaturing conditions. Furthermore, we demonstrate that the size of these domains has a considerable effect on the degree of stability imparted by adsorption. Such biomimetic raft-inspired systems may find use in applications ranging from biorecognition to the design of novel strategies for the separation of biomolecules and controlling the interaction of multicomponent membrane-bound enzymes.

Mechanisms of Ras membrane organization and signalling: Ras on a rocker

Understanding the signalling function of Ras GTPases has been the focus of much research for over 20 years. Both the catalytic domain and the membrane anchoring C terminal hypervariable region (HVR) of Ras are necessary for its cellular function. However, while the highly conserved catalytic domain has been characterized in atomic detail, the structure of the full-length membrane-bound Ras has remained elusive. Lack of structural knowledge on the full-length protein limited our understanding of Ras signalling. For example, structures of the Ras catalytic domain solved in complex with effectors do not provide a basis for the functional specificity of different Ras isoforms. Recent molecular dynamics simulations in combination with biophysical and cell biological experiments have shown that the HVR and parts of the G domain cofunction with the lipid tails to anchor H-ras to the plasma membrane. In the GTP-bound state, H-ras adopts an orientation that allows read out by Ras effectors and translation into corresponding MAPK signalling. Here we discuss details of an analysis that suggests a novel balance model for Ras functioning. The balance model rationalizes Ras membrane orientation and may help explain isoform specific interactions of Ras with its effectors and modulators.

Dimerization between aequorea fluorescent proteins does not affect interaction between tagged estrogen receptors in living cells

Forster resonance energy transfer (FRET) detection of protein interaction in living cells is commonly measured following the expression of interacting proteins genetically fused to the cyan (CFP) and yellow (YFP) derivatives of the Aequorea victoria fluorescent protein (FP). These FPs can dimerize at mM concentrations, which may introduce artifacts into the measurement of interaction between proteins that are fused with the FPs. Here, FRET analysis of the interaction between estrogen receptors (alpha isoform, ERalpha) labeled with "wild-type" CFP and YFP is compared with that of ERalpha labeled with "monomeric" A206K mutants of CFP and YFP. The intracellular equilibrium dissociation constant for the hormone-induced ERalpha-ERalpha interaction is similar for ERalpha labeled with wild-type or monomeric FPs. However, the measurement of energy transfer measured for ERalpha-ERalpha interaction in each cell is less consistent with the monomeric FPs. Thus, dimerization of the FPs does not affect the kinetics of ERalpha-ERalpha interaction but, when brought close together via ERalpha-ERalpha interaction, FP dimerization modestly improves FRET measurement.

Lipid rafts, cholesterol, and the brain

Lipid rafts are specialized membrane microdomains that serve as organizing centers for assembly of signaling molecules, influence membrane fluidity and trafficking of membrane proteins, and regulate different cellular processes such as neurotransmission and receptor trafficking. In this article, we provide an overview of current methods for studying lipid rafts and models for how lipid rafts might form and function. Next, we propose a potential mechanism for regulating lipid rafts in the brain via local control of cholesterol biosynthesis by neurotrophins and their receptors. Finally, we discuss evidence that altered cholesterol metabolism and/or lipid rafts play a critical role in the pathophysiology of multiple CNS disorders, including Smith-Lemli-Opitz syndrome, Huntington's, Alzheimer's, and Niemann-Pick Type C diseases.

A novel switch region regulates H-ras membrane orientation and signal output

The plasma membrane nanoscale distribution of H-ras is regulated by guanine nucleotide binding. To explore the structural basis of H-ras membrane organization, we combined molecular dynamic simulations and medium-throughput FRET measurements on live cells. We extracted a set of FRET values, termed a FRET vector, to describe the lateral segregation and orientation of H-ras with respect to a large set of nanodomain markers. We show that mutation of basic residues in helix alpha4 or the hypervariable region (HVR) selectively alter the FRET vectors of GTP- or GDP-loaded H-ras, demonstrating a critical role for these residues in stabilizing GTP- or GDP-H-ras interactions with the plasma membrane. By a similar analysis, we find that the beta2-beta3 loop and helix alpha5 are involved in a novel conformational switch that operates through helix alpha4 and the HVR to reorient the H-ras G-domain with respect to the plasma membrane. Perturbation of these switch elements enhances MAPK activation by stabilizing GTP-H-ras in a more productive signalling conformation. The results illustrate how the plasma membrane spatially constrains signalling conformations by acting as a semi-neutral interaction partner.

Chapter 22: Quantitation of protein-protein interactions: confocal FRET microscopy

Förster resonance energy transfer (FRET) is an effective and high resolution method to monitor protein-protein interactions in live or fixed specimens. FRET can be used to estimate the distance between interacting protein molecules in vivo or in vitro using laser-scanning confocal FRET microscopy. The spectral overlap of donor and acceptor-essential for FRET-also generates a contamination of the FRET signal, which should be removed in order to carry out quantitative data analysis with confidence. Quantitative FRET data analysis addresses the wealth of information contained in the data set, once optimized FRET imaging has been completed. In this chapter, we describe step-by-step what the issues are in quantitative FRET data analysis, using membrane receptor trafficking and organization as an example. The assays described are applicable to many other biological applications.

Visualization of protein interactions in living cells

Ligand binding to cell membrane receptors sets off a series of protein interactions that convey the nuances ofligand identity to the cell interior. The information may be encoded in conformational changes, the interaction kinetics and, in the case of multichain immunoreceptors, by chain rearrangements. The signals may be modulated by dynamic compartmentalization of the cell membrane, cellular architecture, motility, and activation--all of which are difficult to reconstitute for studies of receptor signaling in vitro. In this chapter, we will discuss how protein interactions in general and receptor signaling in particular can be studied in living cells by different fluorescence imaging techniques. Particularly versatile are methods that exploit Förster resonance energy transfer (FRET), which is exquisitely sensitive to the nanometer-range proximity and orientation between fluorophores. Fluorescence correlation microscopy (FCM) can provide complementary information about the stoichiometry and diffusion kinetics of large complexes, while bimolecular fluorescence complementation (BiFC) and other complementation techniques can capture transient interactions. A continuing challenge is extracting from the imaging data the quantitative information that is necessary to verify different models of signal transduction.