Literature DB >> 23929684

Assessing FRET using spectral techniques.

Silas J Leavesley1, Andrea L Britain, Lauren K Cichon, Viacheslav O Nikolaev, Thomas C Rich.   

Abstract

Förster resonance energy transfer (FRET) techniques have proven invaluable for probing the complex nature of protein-protein interactions, protein folding, and intracellular signaling events. These techniques have traditionally been implemented with the use of one or more fluorescence band-pass filters, either as fluorescence microscopy filter cubes, or as dichroic mirrors and band-pass filters in flow cytometry. In addition, new approaches for measuring FRET, such as fluorescence lifetime and acceptor photobleaching, have been developed. Hyperspectral techniques for imaging and flow cytometry have also shown to be promising for performing FRET measurements. In this study, we have compared traditional (filter-based) FRET approaches to three spectral-based approaches: the ratio of acceptor-to-donor peak emission, linear spectral unmixing, and linear spectral unmixing with a correction for direct acceptor excitation. All methods are estimates of FRET efficiency, except for one-filter set and three-filter set FRET indices, which are included for consistency with prior literature. In the first part of this study, spectrofluorimetric data were collected from a CFP-Epac-YFP FRET probe that has been used for intracellular cAMP measurements. All comparisons were performed using the same spectrofluorimetric datasets as input data, to provide a relevant comparison. Linear spectral unmixing resulted in measurements with the lowest coefficient of variation (0.10) as well as accurate fits using the Hill equation. FRET efficiency methods produced coefficients of variation of less than 0.20, while FRET indices produced coefficients of variation greater than 8.00. These results demonstrate that spectral FRET measurements provide improved response over standard, filter-based measurements. Using spectral approaches, single-cell measurements were conducted through hyperspectral confocal microscopy, linear unmixing, and cell segmentation with quantitative image analysis. Results from these studies confirmed that spectral imaging is effective for measuring subcellular, time-dependent FRET dynamics and that additional fluorescent signals can be readily separated from FRET signals, enabling multilabel studies of molecular interactions. © 2013 International Society for Advancement of Cytometry.
Copyright © 2013 International Society for Advancement of Cytometry.

Entities:  

Keywords:  CFP; Epac; YFP; cAMP; flow cytometry; hyperspectral; imaging; microscopy; spectroscopy

Mesh:

Year:  2013        PMID: 23929684      PMCID: PMC4374658          DOI: 10.1002/cyto.a.22340

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  31 in total

1.  FRET or no FRET: a quantitative comparison.

Authors:  Claude Berney; Gaudenz Danuser
Journal:  Biophys J       Date:  2003-06       Impact factor: 4.033

2.  Characterization of one- and two-photon excitation fluorescence resonance energy transfer microscopy.

Authors:  Masilamani Elangovan; Horst Wallrabe; Ye Chen; Richard N Day; Margarida Barroso; Ammasi Periasamy
Journal:  Methods       Date:  2003-01       Impact factor: 3.608

Review 3.  Spectral imaging and its applications in live cell microscopy.

Authors:  Timo Zimmermann; Jens Rietdorf; Rainer Pepperkok
Journal:  FEBS Lett       Date:  2003-07-03       Impact factor: 4.124

4.  Imaging the environment of green fluorescent protein.

Authors:  Klaus Suhling; Jan Siegel; David Phillips; Paul M W French; Sandrine Lévêque-Fort; Stephen E D Webb; Daniel M Davis
Journal:  Biophys J       Date:  2002-12       Impact factor: 4.033

5.  Novel single chain cAMP sensors for receptor-induced signal propagation.

Authors:  Viacheslav O Nikolaev; Moritz Bünemann; Lutz Hein; Annette Hannawacker; Martin J Lohse
Journal:  J Biol Chem       Date:  2004-07-01       Impact factor: 5.157

Review 6.  Fluorescence resonance energy transfer.

Authors:  R M Clegg
Journal:  Curr Opin Biotechnol       Date:  1995-02       Impact factor: 9.740

7.  Reliable and global measurement of fluorescence resonance energy transfer using fluorescence microscopes.

Authors:  Z Xia; Y Liu
Journal:  Biophys J       Date:  2001-10       Impact factor: 4.033

8.  Cyclic nucleotide-gated channels colocalize with adenylyl cyclase in regions of restricted cAMP diffusion.

Authors:  T C Rich; K A Fagan; H Nakata; J Schaack; D M Cooper; J W Karpen
Journal:  J Gen Physiol       Date:  2000-08       Impact factor: 4.086

9.  Quantitative fluorescence resonance energy transfer (FRET) measurement with acceptor photobleaching and spectral unmixing.

Authors:  Y Gu; W L Di; D P Kelsell; D Zicha
Journal:  J Microsc       Date:  2004-08       Impact factor: 1.758

Review 10.  Use of chimeric fluorescent proteins and fluorescence resonance energy transfer to monitor cellular responses.

Authors:  Manuela Zaccolo
Journal:  Circ Res       Date:  2004-04-16       Impact factor: 17.367

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  37 in total

1.  Applications and assessment of an excitation-scanning hyperspectral imaging system.

Authors:  Sam A Mayes; Kaysie Moore; Craig Browning; Phiwat Klomkaew; Thomas C Rich; Silas J Leavesley
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-02-20

2.  Thin-film tunable filters for hyperspectral fluorescence microscopy.

Authors:  Peter Favreau; Clarissa Hernandez; Ashley Stringfellow Lindsey; Diego F Alvarez; Thomas Rich; Prashant Prabhat; Silas J Leavesley
Journal:  J Biomed Opt       Date:  2014-01       Impact factor: 3.170

3.  5D imaging approaches reveal the formation of distinct intracellular cAMP spatial gradients.

Authors:  Thomas C Rich; Naga Annamdevula; Kenny Trinh; Andrea L Britain; Samuel A Mayes; John R Griswold; Joshua Deal; Chase Hoffman; Savannah West; Silas J Leavesley
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-02-17

4.  Quantifying macromolecular interactions in living cells using FRET two-hybrid assays.

Authors:  Elisabeth S Butz; Manu Ben-Johny; Michael Shen; Philemon S Yang; Lingjie Sang; Martin Biel; David T Yue; Christian Wahl-Schott
Journal:  Nat Protoc       Date:  2016-11-10       Impact factor: 13.491

5.  Excitation-scanning hyperspectral imaging microscope.

Authors:  Peter F Favreau; Clarissa Hernandez; Tiffany Heaster; Diego F Alvarez; Thomas C Rich; Prashant Prabhat; Silas J Leavesley
Journal:  J Biomed Opt       Date:  2014-04       Impact factor: 3.170

6.  Overcoming limitations of FRET measurements.

Authors:  Silas J Leavesley; Thomas C Rich
Journal:  Cytometry A       Date:  2016-04       Impact factor: 4.355

7.  Optimization and applications of an excitation-scanning hyperspectral imaging system.

Authors:  Sam A Mayes; Phiwat Klomkaew; Silas J Leavesley; Thomas C Rich
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-02-22

8.  Three dimensional measurement of cAMP gradients using hyperspectral confocal microscopy.

Authors:  Thomas C Rich; Naga Annamdevula; Andrea L Britain; Samuel Mayes; Peter F Favreau; Silas J Leavelsey
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-09

9.  Colorectal cancer detection by hyperspectral imaging using fluorescence excitation scanning.

Authors:  Silas J Leavesley; Joshua Deal; Shante Hill; Will A Martin; Malvika Lall; Carmen Lopez; Paul F Rider; Thomas C Rich; Carole W Boudreaux
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-02-19

10.  Endoscopic hyperspectral imaging: light guide optimization for spectral light source.

Authors:  Craig M Browning; Samuel Mayes; Thomas C Rich; Silas J Leavesley
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-02-13
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