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The estrogen-related receptor-gamma (ERRgamma) is a constitutively active orphan receptor that belongs to the nuclear receptor superfamily and is most closely related to the estrogen receptors. Although its physiological ligand is unknown, ERRgamma has been shown to interact with synthetic estrogenic compounds such as 4-hydroxytamoxifen (4-OHT), tamoxifen, and diethylstilbestrol (DES). To assess how coregulator proteins interact with ERRgamma in response to ligand, an in vitro interaction methodology using time-resolved fluorescence resonance energy transfer (TR-FRET) was developed using glutathione S-transferase (GST)-tagged ERRgamma ligand-binding domain (LBD), a terbium-labeled anti-GST antibody, a fluorescein-labeled peptide containing sequences derived from coregulator proteins, and various ligands. An initial screen of these coregulator peptides bearing the coactivator LXXLL motif, the corepressor LXXI/HIXXXI/L motif, or other interaction motifs from natural coactivator sequences or random phage display peptides indicated that the peptides PGC1alpha, D22, and SRC1-4, known as class III coregulators, interacted most strongly with ERRgamma in the absence of ligand. Given its assay window and biological relevance in energy metabolism and obesity, further studies were conducted with PGC1alpha. Fluorescein-labeled PGC1alpha peptide was displaced from the ERRgamma LBD in the presence of increasing concentrations of 4-OHT and tamoxifen, but DES was less effective in PGC1alpha displacement. The statistical parameter Z' factor that measures the robustness of the assay was greater than 0.8 for displacement of PGC1alpha from ERRgamma LBD in the presence of saturating 4-OHT over an assay incubation time of 1-6 h, indicating an excellent assay. These findings also suggest that binding of 4-OHT, tamoxifen, or DES to ERRgamma results in differential affinity of coregulators for ERRgamma due to unique ligand-induced conformations.

A fluorescence polarization (FP) assay was developed to determine the concentration of a c-myc-tagged recombinant protein in a crude cell extract. The basis of the assay was a competition between a c-myc-tagged protein and a fluorescein-labeled c-myc peptide for a c-myc antibody Fab. Fluorescein-labeled c-myc peptide produced a high-fluorescence polarization signal upon binding to the c-myc antibody, which can be inhibited in the presence of a c-myc-tagged protein. Quantitation of a c-myc-tagged protein was realized by measuring the decrease in fluorescence polarization. The observed IC(50) values in the competition FP assay were similar among all monomeric c-myc-tagged proteins tested, indicating that the interaction of the c-myc tag with the antibody was independent of the fusion protein sequence. The c-myc-tagged protein concentrations measured by FP were found to correlate well with values derived from a spike experiment and with values obtained by quantitative immunoblot. This assay was not perturbed by the presence of crude cell lysate, dithiothreitol or detergents, and worked with both native and denatured samples from several expression systems, including Escherichia coli, Pichia, insect cells, and mammalian cells. The assay under the current condition can detect as low as 0.05% expression level of c-myc-tagged protein with regards to total proteins, depending on the expression system. This assay is both quantitative and rapid (less than 15min) and is therefore suitable for the optimization of recombinant protein expression conditions as well as for the monitoring of protein purification procedures.

The peroxisome proliferator-activated receptors (PPARs) are nuclear receptors activated by fatty acids and their metabolites. The PPARdelta subtype is believed to be involved in lipoprotein regulation and may have a role in reverse cholesterol transport. While the range of biological roles of PPARdelta still remains unclear, it is of therapeutic interest in cardiovascular diseases. Here we report a homogeneous in vitro assay for studying ligand activation of PPARdelta. We surveyed a panel of peptides containing the LXXLL motifs derived from coactivator protein sequences. Peptides with the best response were used to develop a sensitive and homogeneous recruitment assay for PPARdelta. The optimized assay has a signal-to-background ratio of about 8:1 and an assay quality parameter Z'-factor value of 0.8. The assay signal generated is stable for hours to even overnight. This simple recruitment assay can provide agonist and/or antagonist information that cannot be assessed by receptor-binding assay, and can be used for characterization and screening of ligands that modulate the activation of PPARdelta., ((c)2002 Elsevier Science (USA).)

A mathematical approach using fractal concepts is presented for modeling the binding and dissociation interactions between analytes and nuclear estrogen receptors (ER) occurring on surface plasmon resonance biosensor chip surfaces. A kinetic knowledge of the binding interactions mediated by ER would help in better understanding the carcinogenicity of these steroidogenic compounds and assist in modulating these reactions. The fractal approach is applied to analyte-ER interaction data obtained from literature. Numerical values obtained for the binding and dissociation rate coefficients are linked to the degree of roughness or heterogeneity (fractal dimension, D(f)) present on the biosensor surface. For example, a single-fractal analysis is used to describe the binding and dissociation phases for the binding of estradiol and ERalpha in solution to clone 31 protein immobilized on a biosensor chip (C-S. Suen et al., 1998, J. Biol. Chem. 273(42), 27645-27653). The binding and the dissociation rate coefficients are 27.57 and 8.813, respectively, and the corresponding fractal dimensions are 1.986 and 2.268, respectively. In some examples dual-fractal models were employed to obtain a better fit of either the association or the dissociation phases or for both. Predictive relationships are developed for (a) the binding and the dissociation rate coefficients as a function of their respective fractal dimensions and (b) the ratio K(A) (= k/k(d)) as a function of the ratio of the fractal dimensions (D(f)/D(fd)). The analysis should provide further physical insights into the ER-mediated interactions occurring on biosensor and other surfaces., ((c)2002 Elsevier Science (USA).)

In detecting receptor antagonists or enzyme inhibitors, there are three parameters that often affect the outcome in a predictable quantitative manner: concentrations of the receptors (enzyme), labeled ligand (substrate), and antagonist (inhibitor). The usual goal of assay optimization is to maximize the ability of the assay to detect low concentrations of the analyte. Another question of practical importance, especially in screening of large numbers of samples, would be minimization of the reagent cost. Although the mathematical theory of optimization of the receptor binding assay was developed a long time ago, the resulting formulas (in the general case of unequal affinities of ligand and competitor) were not well suited for practical use. The current availability of computational programs, such as Mathematica, makes possible an efficient solution, both for receptor- and enzyme-based assays. We use a graphical approach to assay optimization and apply it to the following problems: (1) optimization of assay sensitivity, (2) optimization of the reagent cost, and (3) analysis of the entire range of the parameter values since the mathematically optimal values may sometimes be impractical. The computation is extremely simple and the problem can sometimes be solved in several minutes., (Copyright 1999 Academic Press.)