Non-Uniform Membrane Probe Distribution in Resonance Energy Transfer: Application to Protein–Lipid Selectivity

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.

Quantification of protein-lipid selectivity using FRET

Membrane proteins exhibit different affinities for different lipid species, and protein-lipid selectivity regulates the membrane composition in close proximity to the protein, playing an important role in the formation of nanoscale membrane heterogeneities. The sensitivity of Förster resonance energy transfer (FRET) for distances of 10 A up to 100 A is particularly useful to retrieve information on the relative distribution of proteins and lipids in the range over which protein-lipid selectivity is expected to influence membrane composition. Several FRET-based methods applied to the quantification of protein-lipid selectivity are described herein, and different formalisms applied to the analysis of FRET data for particular geometries of donor-acceptor distribution are critically assessed.

Ciprofloxacin interactions with bacterial protein OmpF: modelling of FRET from a multi-tryptophan protein trimer

The outer membrane protein F (OmpF) is known to play an important role in the uptake of fluoroquinolone antibiotics by bacteria. In this study, the degree of binding of the fluoroquinolone antibiotic ciprofloxacin to OmpF in a lipid membrane environment is quantified using a methodology based on Förster resonance energy transfer (FRET). Analysis of the fluorescence quenching of OmpF is complex as each OmpF monomer presents two tryptophans at different positions, thus sensing two different distributions of acceptors in the bilayer plane. Specific FRET formalisms were derived accounting for the different energy transfer contributions to quenching of each type of tryptophan of OmpF, allowing the recovery of upper and lower boundaries for the ciprofloxacin-OmpF binding constant (K(B)). log (K(B)) was found to lie in the range 3.15-3.62 or 3.58-4.00 depending on the location for the ciprofloxacin binding site assumed in the FRET modelling, closer to the centre or to the periphery of the OmpF trimer, respectively. This methodology is suitable for the analysis of FRET data obtained with similar protein systems and can be readily adapted to different geometries.

Clustering and coupled gating modulate the activity in KcsA, a potassium channel model

Different patterns of channel activity have been detected by patch clamping excised membrane patches from reconstituted giant liposomes containing purified KcsA, a potassium channel from prokaryotes. The more frequent pattern has a characteristic low channel opening probability and exhibits many other features reported for KcsA reconstituted into planar lipid bilayers, including a moderate voltage dependence, blockade by Na(+), and a strict dependence on acidic pH for channel opening. The predominant gating event in this low channel opening probability pattern corresponds to the positive coupling of two KcsA channels. However, other activity patterns have been detected as well, which are characterized by a high channel opening probability (HOP patterns), positive coupling of mostly five concerted channels, and profound changes in other KcsA features, including a different voltage dependence, channel opening at neutral pH, and lack of Na(+) blockade. The above functional diversity occurs correlatively to the heterogeneous supramolecular assembly of KcsA into clusters. Clustering of KcsA depends on protein concentration and occurs both in detergent solution and more markedly in reconstituted membranes, including giant liposomes, where some of the clusters are large enough (up to micrometer size) to be observed by confocal microscopy. As in the allosteric conformational spread responses observed in receptor clustering (Bray, D. and Duke, T. (2004) Annu. Rev. Biophys. Biomol. Struct. 33, 53-73) our tenet is that physical clustering of KcsA channels is behind the observed multiple coupled gating and diverse functional responses.