Maximum entropy analysis of polarized fluorescence decay of (E)GFP in aqueous solution. (18th December 2017)

• Record Type: Journal Article
• Authors: Novikov, Eugene G; Skakun, Victor V; Borst, Jan Willem; Visser, Antonie J W G
• Is Part Of: Methods and applications in fluorescence. Volume 6:Number 1(2018:Mar.)
• Publication Date: 2017-12-18
• Subjects: maximum entropy method -- time-resolved fluorescence -- time-resolved fluorescence anisotropy -- rate spectrum -- rotational diffusion -- rotational correlation time -- (enhanced) green fluorescent protein; Fluorescence spectroscopy -- Periodicals; Fluorescence -- Periodicals; Spectrometry, Fluorescence -- Periodicals; Fluorescence -- Periodicals; Fluorescence; Fluorescence spectroscopy; Periodicals; 535.352
• DOI: 10.1088/2050-6120/aa898b
• Languages: English
• ISSNs: 2050-6120

Abstract

Abstract: The maximum entropy method (MEM) was used for the analysis of polarized fluorescence decays of enhanced green fluorescent protein (EGFP) in buffered water/glycerol mixtures, obtained with time-correlated single-photon counting (Visser et al 2016 Methods Appl. Fluoresc. 4 035002). To this end, we used a general-purpose software module of MEM that was earlier developed to analyze (complex) laser photolysis kinetics of ligand rebinding reactions in oxygen binding proteins. We demonstrate that the MEM software provides reliable results and is easy to use for the analysis of both total fluorescence decay and fluorescence anisotropy decay of aqueous solutions of EGFP. The rotational correlation times of EGFP in water/glycerol mixtures, obtained by MEM as maxima of the correlation-time distributions, are identical to the single correlation times determined by global analysis of parallel and perpendicular polarized decay components. The MEM software is also able to determine homo-FRET in another dimeric GFP, for which the transfer correlation time is an order of magnitude shorter than the rotational correlation time. One important advantage utilizing MEM analysis is that no initial guesses of parameters are required, since MEM is able to select the least correlated solution from the feasible set of solutions.