Simplified Instrument Calibration for Wide‐Field Fluorescence Resonance Energy Transfer (FRET) Measured by the Sensitized Emission Method

Fӧrster (or fluorescence) resonance energy transfer (FRET) is a quantifiable energy transfer in which a donor fluorophore nonradiatively transfers its excitation energy to an acceptor fluorophore. A change in FRET efficiency indicates a change of proximity and environment of these fluorophores, which enables the study of intermolecular interactions. Measurement of FRET efficiency using the sensitized emission method requires a donor–acceptor calibrated system. One of these calibration factors named the G factor, which depends on instrument parameters related to the donor and acceptor measurement channels and on the fluorophores quantum efficiencies, can be determined in several different ways and allows for conversion of the raw donor and acceptor emission signals to FRET efficiency. However, the calculated value of the G factor from experimental data can fluctuate significantly depending on the chosen experimental method and the size of the sample. In this technical note, we extend the results of Gates et al. (Cytometry Part A 95A (2018) 201–213) by refining the calibration method used for calibration of FRET from image pixel data. Instead of using the pixel histograms of two constructs with high and low FRET efficiency to determine the G factor, we use pixel histogram data from one construct of known efficiency. We validate this method by determining the G factor with the same constructs developed and used by Gates et al. and comparing the results from the two approaches. While the two approaches are equivalent theoretically, we demonstrate that the use of a single construct with known efficiency provides a more precise experimental measurement of the G factor that can be attained by collecting a smaller number of images. © 2020 International Society for Advancement of Cytometry

[1]  R. Clegg Fluorescence resonance energy transfer. , 2020, Current opinion in biotechnology.

[2]  P. Nagy,et al.  Reducing the Detrimental Effects of Saturation Phenomena in FRET Microscopy. , 2019, Analytical chemistry.

[3]  Eric C Greenwald,et al.  Genetically Encoded Fluorescent Biosensors Illuminate the Spatiotemporal Regulation of Signaling Networks. , 2018, Chemical reviews.

[4]  Andrew S LaCroix,et al.  Improving Quality, Reproducibility, and Usability of FRET‐Based Tension Sensors , 2018, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[5]  Andrew S LaCroix,et al.  Tunable molecular tension sensors reveal extension-based control of vinculin loading , 2018, bioRxiv.

[6]  J. Szöllősi,et al.  High throughput FRET analysis of protein–protein interactions by slide‐based imaging laser scanning cytometry , 2013, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[7]  R. Uhl Arc lamps and monochromators for fluorescence microscopy. , 2012, Cold Spring Harbor protocols.

[8]  Taekjip Ha,et al.  Measuring mechanical tension across vinculin reveals regulation of focal adhesion dynamics , 2010, Nature.

[9]  Sándor Damjanovich,et al.  Conformation of the c-Fos/c-Jun complex in vivo: a combined FRET, FCCS, and MD-modeling study. , 2008, Biophysical journal.

[10]  Steven S Vogel,et al.  Measurement of FRET efficiency and ratio of donor to acceptor concentration in living cells. , 2006, Biophysical journal.

[11]  Joachim Goedhart,et al.  UvA-DARE ( Digital Academic Repository ) Optimization of fluorescent proteins for novel quantitative multiparameter microscopy approaches , 2007 .

[12]  J. Lakowicz,et al.  2 – Basics of Fluorescence and FRET , 2005 .

[13]  Sándor Damjanovich,et al.  Novel calibration method for flow cytometric fluorescence resonance energy transfer measurements between visible fluorescent proteins , 2005, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[14]  T. Zal,et al.  Photobleaching-corrected FRET efficiency imaging of live cells. , 2004, Biophysical journal.

[15]  Gaudenz Danuser,et al.  FRET or no FRET: a quantitative comparison. , 2003, Biophysical journal.

[16]  J. Swanson,et al.  Fluorescence resonance energy transfer-based stoichiometry in living cells. , 2002, Biophysical journal.

[17]  B. Herman,et al.  Quantitative fluorescence resonance energy transfer measurements using fluorescence microscopy. , 1998, Biophysical journal.

[18]  K. Linnet,et al.  Estimation of the linear relationship between the measurements of two methods with proportional errors. , 1990, Statistics in medicine.

[19]  T. Jovin,et al.  Flow cytometric measurement of fluorescence resonance energy transfer on cell surfaces. Quantitative evaluation of the transfer efficiency on a cell-by-cell basis. , 1984, Biophysical journal.

[20]  E. White,et al.  Immortalized mouse epithelial cell models to study the role of apoptosis in cancer. , 2008, Methods in enzymology.

[21]  Ammasi Periasamy,et al.  7 – FRET Data Analysis: The Algorithm , 2005 .

[22]  K. Mikoshiba,et al.  A variant of yellow fluorescent protein with fast and efficient maturation for cell-biological applications , 2002, Nature Biotechnology.

[23]  Stephen J. Lockett,et al.  Intensity-based energy transfer measurements in digital imaging microscopy , 1998, European Biophysics Journal.