Calculation of resonance energy transfer in crowded biological membranes.
Analytical and numerical models were developed to describe fluorescence resonance energy transfer (RET) in crowded biological membranes. It was assumed that fluorescent donors were linked to membrane proteins and that acceptors were linked to membrane lipids. No restrictions were placed on the location of the donor within the protein or the partitioning of acceptors between the two leaflets of the bilayer; however, acceptors were excluded from the area occupied by proteins. Analytical equations were derived that give the average quantum yield of a donor at low protein concentrations. Monte Carlo simulations were used to generate protein and lipid distributions that were linked numerically with RET equations to determine the average quantum yield and the distribution of donor fluorescence lifetimes at high protein concentrations, up to 50% area fraction. The Monte Carlo results show such crowding always reduces the quantum yield, probably because crowding increases acceptor concentrations near donor-bearing proteins; the magnitude of the reduction increases monotonically with protein concentration. The Monte Carlo results also show that the distribution of fluorescence lifetimes can differ markedly, even for systems possessing the same average lifetime. The dependence of energy transfer on acceptor concentration, protein radius, donor position within the protein, and the fraction of acceptors in each leaflet was also examined. The model and results are directly applicable to the analysis of RET data obtained from biological membranes; their application should result in a more complete and accurate determination of the structures of membrane components.
Zimet
D B
DB
Department of Laboratory Medicine, University of California, San Francisco 94143, USA.
Thevenin
B J
BJ
Verkman
A S
AS
Shohet
S B
SB
Abney
J R
JR
D055592:Biophysical Phenomena; D001703:Biophysics; D004735:Energy Transfer; D005453:Fluorescence; D066298:In Vitro Techniques; D008563:Membrane Lipids / Q000737:chemistry; D008565:Membrane Proteins / Q000737:chemistry; D008566:Membranes / Q000737:chemistry*; D008954:Models, Biological; D009010:Monte Carlo Method
D008563:Membrane Lipids; D008565:Membrane Proteins