bioRxivCell Biology
Characterization of a spectrally diverse set of fluorescent proteins as FRET acceptors for mTurquoise2
M. Mastop, D. S. Bindels, N. C. Shaner, M. Postma, T. W. J. Gadella, J. Goedhart
Abstract
Genetically encoded Forster Resonance Energy Transfer (FRET) based biosensors report on changes in biochemical states in single living cells. The performance of biosensors depends on their brightness and dynamic range, which are dependent on the characteristics of the fluorescent proteins that are employed. Cyan fluorescent protein (CFP) is frequently combined with yellow fluorescent protein (YFP) as FRET pair in biosensors. However, current YFPs are prone to photobleaching and pH changes. In addition, more efficient acceptors may yield biosensors that have higher contrast. In this study, we evaluated the properties of a diverse set of acceptor fluorescent proteins in combination with the optimized CFP variant mTurquoise2 as the donor. To determine the theoretical performance of acceptors, the Forster radius was determined. The practical performance was determined by measuring FRET efficiency and photostability of tandem fusion proteins in mammalian cells. Our results show that mNeonGreen is the most efficient acceptor for mTurquoise2 and that the photostability is better than SYFP2. The non-fluorescent YFP variant sREACh is an efficient acceptor, which is useful in lifetime-based FRET experiments. Among the orange and red fluorescent proteins, mChery and mScarlet-I are the best performing acceptors. Several new pairs were applied in a multimolecular FRET based sensor for detecting activation of a heterotrimeric G-protein by G-protein coupled receptors. The sensor with mScarlet-I as acceptor and mTurquoise2 as donor shows a higher dynamic range in ratiometric FRET imaging experiments and less variability than with mCherry as acceptor, due to the high quantum yield and efficient maturation of mScarlet-I. Overall, the sensor with mNeonGreen as acceptor and mTurquoise2 as donor showed the highest dynamic range in ratiometric FRET imaging experiments with the G-protein sensor.
- organism: human
- assay: fluorescence / live-cell microscopy
- research focus: cell-cell communication
- research focus: protein folding & dynamics
- approach: deep learning
- approach: statistical model
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