Biology – Quantitative Biology – Biomolecules
Scientific paper
2011-05-04
Biology
Quantitative Biology
Biomolecules
26 pages, 2 figures
Scientific paper
Resonance energy transfer methods are in wide use for evaluating protein-protein interactions and protein conformational changes in living cells. Fluorescence resonance energy transfer (FRET) measures energy transfer as a function of the acceptor:donor ratio, generating FRET saturation curves. Modeling these curves by Michaelis-Menten kinetics allows characterization by two parameters, which serve to evaluate apparent affinity between two proteins and to compare this affinity in different experimental conditions. To reduce the effect of sampling variability, several statistical samples of the saturation curve are generated in the same biological conditions. Here we study three procedures to determine whether statistical samples in a collection are homogeneous, in the sense that they are extracted from the same regression model. From the hypothesis testing viewpoint, we considered an F test and a procedure based on bootstrap resampling. The third method analyzed the problem from the model selection viewpoint, and used the Akaike information criterion (AIC). Although we only considered the Michaelis-Menten model, all statistical procedures would be applicable to any other nonlinear regression model. We compared the performance of the homogeneity testing methods in a Monte Carlo study and through analysis in living cells of FRET saturation curves for dimeric complexes of CXCR4, a seven-transmembrane receptor of the G protein-coupled receptor family. We show that the F test, the bootstrap procedure and the model selection method lead in general to similar conclusions, although AIC gave the best results when sample sizes were small, whereas the F test and the bootstrap method were more appropriate for large samples. In practice, all three methods are easy to use simultaneously and show consistency, facilitating conclusions on sample homogeneity.
Baíllo Amparo
Martínez-Muñoz Laura
Mellado Mario
No associations
LandOfFree
Homogeneity tests for Michaelis-Menten curves with application to fluorescence resonance energy transfer data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Homogeneity tests for Michaelis-Menten curves with application to fluorescence resonance energy transfer data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Homogeneity tests for Michaelis-Menten curves with application to fluorescence resonance energy transfer data will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-689359