Quantitative detection of the ligand-dependent interaction between the androgen receptor and the co-activator, Tif2, in live cells using two color, two photon fluorescence cross-correlation spectroscopy

Scanning number and brightness yields absolute protein concentrations in live cells: a crucial parameter controlling functional bio-molecular interaction networks

Biological function results from properly timed bio-molecular interactions that transduce external or internal signals, resulting in any number of cellular fates, including triggering of cell-state transitions (division, differentiation, transformation, apoptosis), metabolic homeostasis and adjustment to changing physical or nutritional environments, amongst many more. These bio-molecular interactions can be modulated by chemical modifications of proteins, nucleic acids, lipids and other small molecules. They can result in bio-molecular transport from one cellular compartment to the other and often trigger specific enzyme activities involved in bio-molecular synthesis, modification or degradation. Clearly, a mechanistic understanding of any given high level biological function requires a quantitative characterization of the principal bio-molecular interactions involved and how these may change dynamically. Such information can be obtained using fluctation analysis, in particular scanning number and brightness, and used to build and test mechanistic models of the functional network to define which characteristics are the most important for its regulation.

Corepressive function of nuclear receptor coactivator 2 in androgen receptor of prostate cancer cells treated with antiandrogen

BACKGROUND

Recruitment of cofactors in the interaction of the androgen receptor (AR) and AR ligands plays a critical role in determining androgenic/antiandrogenic effects of the AR ligand on signaling, but the functions of key cofactors, including nuclear receptor coactivator (NCOA), remain poorly understood in prostate cancer cells treated with AR ligands.

METHODS

We examined prostate cancer cell lines LNCaP and VCaP expressing mutated and wild-type ARs, respectively, to clarify the significance of NCOAs in the effect of antiandrogens. Hydroxyflutamide showed antagonistic activity against VCaP and an agonistic effect on LNCaP. Bicalutamide served as an antagonist for both. We analyzed mRNA transcription and protein expression of NCOAs in these cells pretreated with dihydrotestosterone and thereafter treated with the mentioned antiandrogens. Transcriptional silencing of candidate NCOAs and AR was performed using small interfering RNA (siRNA). Cell proliferation was evaluated with MTT assay.

RESULTS

LNCaP treated with bicalutamide showed an about four-fold increase in the expression of NCOA2 mRNA compared to those pretreated with dihydrotestosterone alone (P <0.01). In VCaP pretreated with dihydrotestosterone, transcriptions of NCOA2 and NCOA7 were slightly increased with bicalutamide (1.96- and 2.42-fold, respectively) and hydroxyflutamide (1.33-fold in both). With Western blotting, the expression of NCOA2 protein also increased in LNCaP cells treated with bicalutamide compared with that in control cells pretreated with dihydrotestosterone alone. Following silencing with siRNA for NCOA2, PSA levels in media with LNCaP receiving bicalutamide were elevated compared with those in non-silencing controls (101.6 ± 4.2 vs. 87.8 ± 1.4 ng/mL, respectively, P =0.0495). In LNCaP cells treated with dihydrotestosterone and bicalutamide, NCOA2-silencing was associated with a higher proliferation activity compared with non-silencing control and AR-silencing.

CONCLUSION

NCOA2, which has been thought to be recruited as a coactivator, possibly plays a corepressive role in AR of prostate cancer cells when treated with antiandrogens, suggesting its potential as a therapeutic target.

Estrogen receptor interactions and dynamics monitored in live cells by fluorescence cross-correlation spectroscopy

Quantitative characterization of protein interactions in live cells remains one of the most important challenges in modern biology. In the present work we have used two-photon, two-color, fluorescence cross-correlation spectroscopy (FCCS) in transiently transfected COS-7 cells to measure the concentrations and interactions of estrogen receptor (ER) subtypes alpha and beta with one of their transcriptional coactivator proteins, TIF2, as well as heterodimerization between the two ER subtypes. Using this approach in a systematic fashion, we observed a strong ligand-dependent modulation of receptor-coactivator complexation, as well as strong protein concentration dependence for complex formation in the absence of ligand. These quantitative values for protein and complex concentrations provide the first estimates for the ER-TIF2 K(d) for the full-length proteins and in a cellular context (agonist, < approximately 6 nM; antagonist, > approximately 3 microM; unliganded, approximately 200 nM). Coexpression of the two ER subtypes revealed substantial receptor heterodimer formation. They also provide, for the first time, estimated homo- and heterodimerization constants found to be similar and in the low nanomolar range. These results underscore the importance of receptor and coregulator expression levels and stability in the tissue-dependent modulation of receptor function under normal and pathological conditions.

Heterospecies partition analysis reveals binding curve and stoichiometry of protein interactions in living cells

Measuring the binding curve and stoichiometry of protein complexes in living cells is a prerequisite for quantitative modeling of cellular processes. Dual-color fluorescence fluctuation spectroscopy provides a general framework for detecting protein interactions, but lacks suitable methods for quantifying protein heterointeractions in the cell. We address this challenge by introducing heterospecies partition (HSP) analysis for protein heterointeractions of the type D + nA<-->DA(n). HSP directly identifies the heterointeracting species from the sample mixture and determines the binding curve and stoichiometry of the protein complex. The HSP method is applied to provide the first direct characterization of the ligand-dependent binding of the retinoic X receptor to the coactivator transcription intermediate factor 2. A previous study based on protein fragments observed a higher binding stoichiometry than biologically expected. We address this difference in stoichiometry by measuring the binding curves of the full-length proteins in living cells. This study provides proof-of-principle experiments that illustrate the potential of HSP as a general and robust analysis tool for the quantitative characterization of protein heterointeractions by dual-color fluorescence fluctuation spectroscopy in living cells.

Characterization of the control catabolite protein of gluconeogenic genes repressor by fluorescence cross-correlation spectroscopy and other biophysical approaches

Determination of the physical parameters underlying protein-DNA interactions is crucial for understanding the regulation of gene expression. In particular, knowledge of the stoichiometry of the complexes is a prerequisite to determining their energetics and functional molecular mechanisms. However, the experimental determination of protein-DNA complex stoichiometries remains challenging. We used fluorescence cross-correlation spectroscopy (FCCS) to investigate the interactions of the control catabolite protein of gluconeogenic genes, a key metabolic regulator in Gram-positive bacteria, with two oligonucleotides derived from its target operator sequences, gapB and pckA. According to our FCCS experiments, the stoichiometry of binding is twofold larger for the pckA target than for gapB. Correcting the FCCS data for protein self-association indicated that control catabolite protein of gluconeogenic genes forms dimeric complexes on the gapB target and tetrameric complexes on the pckA target. Analytical ultracentrifugation coupled with fluorescence anisotropy and hydrodynamic modeling allowed unambiguous confirmation of this result. The use of multiple complementary techniques to characterize these complexes should be employed wherever possible. However, there are cases in which analytical ultracentrifugation is precluded, due to protein stability, solubility, or availability, or, more obviously, when the studies are carried out in live cells. If information concerning the self-association of the protein is available, FCCS can be used for the direct and simultaneous determination of the affinity, cooperativity, and stoichiometry of protein-DNA complexes in a concentration range and conditions relevant to the regulation of these interactions.

Fluorescence fluctuation analysis of Arabidopsis thaliana somatic embryogenesis receptor-like kinase and brassinosteroid insensitive 1 receptor oligomerization

Receptor kinases play a key role in the cellular perception of signals. To verify models for receptor activation through dimerization, an experimental system is required to determine the precise oligomerization status of proteins within living cells. Here we show that photon counting histogram analysis and dual-color fluorescence cross correlation spectroscopy are able to monitor fluorescently labeled proteins at the single-molecule detection level in living plant cells. In-frame fusion proteins of the brassinosteroid insensitive 1 (BRI1) receptor and the Arabidopsis thaliana somatic embryogenesis receptor-like kinases 1 and 3 (AtSERK1 and 3) to the enhanced cyan or yellow fluorescent protein were transiently expressed in plant cells. Although no oligomeric structures were detected for AtSERK3, 15% (AtSERK1) to 20% (BRI1) of the labeled proteins in the plasma membrane was found to be present as homodimers, whereas no evidence was found for higher oligomeric complexes.