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Monitoring conformational changes of proteins in cells by fluorescence lifetime imaging microscopy.

ABSTRACT: To be able to detect in situ changes in protein conformation without perturbing the physiological environment would be a major step forward in understanding the precise mechanism occurring in protein interaction. We have developed a novel approach to monitoring conformational changes of proteins in intact cells. A double-labelled fluorescent green fluorescent protein-yellow fluorescent protein (GFP-YFP) fusion protein has been constructed, allowing the exploitation of enhanced-acceptor-fluorescence (EAF)-induced fluorescence resonance energy transfer (FRET). Additionally, a novel fusion partner, YFP(dark), has been designed to act as a sterically hindered control for EAF-FRET. Any conformational changes will cause a variation in FRET, which, in turn, is detected by fluorescence lifetime imaging microscopy ("FLIM"). Protein kinase B (PKB)/Akt, a key component of phosphoinositide 3-kinase-mediated signalling, was selected for this purpose. Although conformational changes in PKB/Akt consequent to lipid binding and phosphorylation have been proposed in models, its behaviour in intact cells has not been tractable. We report here that platelet-derived-growth-factor ("PDGF") stimulation of NIH3T3 cells expressing the GFP-Akt-YFP construct resulted in a loss of FRET at the plasma membrane and hence a change in PKB/Akt conformation. We also show that the GFP-Akt-YFP construct conserves fully its functional integrity. This novel approach of monitoring the in situ conformational changes has broad application for other members of the AGC kinase superfamily and other proteins.

SUBMITTER: Calleja V

PROVIDER: S-EPMC1223389 | biostudies-other | 2003 May

REPOSITORIES: biostudies-other

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Project description:Fluorescence lifetime imaging (FLIM) is widely applied to obtain quantitative information from fluorescence signals, particularly using Förster Resonant Energy Transfer (FRET) measurements to map, for example, protein-protein interactions. Extracting FRET efficiencies or population fractions typically entails fitting data to complex fluorescence decay models but such experiments are frequently photon constrained, particularly for live cell or in vivo imaging, and this leads to unacceptable errors when analysing data on a pixel-wise basis. Lifetimes and population fractions may, however, be more robustly extracted using global analysis to simultaneously fit the fluorescence decay data of all pixels in an image or dataset to a multi-exponential model under the assumption that the lifetime components are invariant across the image (dataset). This approach is often considered to be prohibitively slow and/or computationally expensive but we present here a computationally efficient global analysis algorithm for the analysis of time-correlated single photon counting (TCSPC) or time-gated FLIM data based on variable projection. It makes efficient use of both computer processor and memory resources, requiring less than a minute to analyse time series and multiwell plate datasets with hundreds of FLIM images on standard personal computers. This lifetime analysis takes account of repetitive excitation, including fluorescence photons excited by earlier pulses contributing to the fit, and is able to accommodate time-varying backgrounds and instrument response functions. We demonstrate that this global approach allows us to readily fit time-resolved fluorescence data to complex models including a four-exponential model of a FRET system, for which the FRET efficiencies of the two species of a bi-exponential donor are linked, and polarisation-resolved lifetime data, where a fluorescence intensity and bi-exponential anisotropy decay model is applied to the analysis of live cell homo-FRET data. A software package implementing this algorithm, FLIMfit, is available under an open source licence through the Open Microscopy Environment.

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Monitoring conformational changes of proteins in cells by fluorescence lifetime imaging microscopy.

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