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Luminescence Resonance Energy Transfer to Study Conformational Changes in Membrane Proteins Expressed in Mammalian Cells

Luminescence Resonance Energy Transfer to Study Conformational Changes in Membrane Proteins Expressed in Mammalian Cells

Published on: September 16, 2014

A parameter estimation method for fluorescence lifetime data.

Daniel Sewell¹, Hajin Kim^2,3, Taekjip Ha⁴

¹Department of Statistics, University of Illinois Urbana-Champaign, 725 S. Wright St., Champaign, IL, 61820, USA. dsewell2@illinois.edu.

BMC Research Notes

|June 10, 2015

Summary

This summary is machine-generated.

Directly fitting biexponential distributions to small fluorescence lifetime data sets can fail. A novel gamma conversion method improves parameter estimation, providing more reliable results for fluorescence lifetime analysis.

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Area of Science:

Biophysics
Analytical Chemistry
Spectroscopy

Background:

Single-molecule fluorescence lifetime data analysis commonly uses biexponential distribution fitting.
Small sample sizes in this analysis can lead to optimization convergence failures, local optima, and unreasonable parameter estimates.

Purpose of the Study:

To develop a robust method for estimating fluorescence lifetime components, particularly for small sample sizes.
To overcome the limitations of direct biexponential fitting in fluorescence lifetime data analysis.

Main Methods:

A gamma conversion method was developed, utilizing gamma distribution for initial optimization.
Gamma parameters are converted to biexponential parameters using moment matching.
A simulation study with 30 configurations and real data from Cy3 fluorophore were analyzed.

Main Results:

Direct biexponential fitting resulted in numerous physically unreasonable parameter estimates in both simulations and real data.
The gamma conversion method consistently yielded parameter estimates close to the true values.
The proposed method successfully avoided numerical difficulties associated with small sample sizes.

Conclusions:

Direct numerical optimization for biexponential fitting is prone to convergence issues and unreliable parameter estimates.
The gamma conversion method offers a superior alternative, enhancing the accuracy and reliability of fluorescence lifetime component estimation.
This approach effectively addresses the challenges posed by small sample sizes in fluorescence lifetime data analysis.