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. 1993 Jan;64(1):110–120. doi: 10.1016/S0006-3495(93)81345-6

Distribution of type I Fc epsilon-receptors on the surface of mast cells probed by fluorescence resonance energy transfer.

U Kubitscheck 1, R Schweitzer-Stenner 1, D J Arndt-Jovin 1, T M Jovin 1, I Pecht 1
PMCID: PMC1262307  PMID: 8431535

Abstract

The aggregation state of type I Fc epsilon-receptors (Fc epsilon RI) on the surface of single living mast cells was investigated by resonance fluorescence energy transfer. Derivatization of Fc epsilon RI specific ligands, i.e., immunoglobulin E or Fab fragments of a Fc epsilon RI specific monoclonal antibody, with donor and acceptor fluorophores provided a means for measuring receptor clustering through energy transfer between the receptor probes. The efficiency of energy transfer between the ligands carrying distinct fluorophores was determined on single cells in a microscope by analyzing the photobleaching kinetics of the donor fluorophore in the presence and absence of receptor ligands labeled with acceptor fluorophores. To rationalize the energy transfer data, we developed a theoretical model describing the dependence of the energy transfer efficiency on the geometry of the fluorescently labeled macromolecular ligands and their aggregation state on the cell surface. To this end, the transfer process was numerically calculated first for one pair and then for an ensemble of Fc epsilon RI bound ligands on the cell surface. The model stipulates that the aggregation state of the Fc epsilon RI is governed by an attractive lipid-protein mediated interaction potential. The corresponding pair-distribution function characterizes the spatial distribution of the ensemble. Using this approach, the energy transfer efficiency of the ensemble was calculated for different degrees of receptor aggregation. Comparison of the theoretical modeling results with the experimental energy transfer data clearly suggests that the Fc epsilon RI are monovalent, randomly distributed plasma membrane proteins. The method provides a novel approach for determining the aggregation state of cell surface components.

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Selected References

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