a focus on general and imaging-platform-specific ways to optimize the efficiency of light throughput and detection. With an efficient optical microscope and a good detector, the light exposure can be minimized during live-cell imaging, thus minimizing phototoxicity and maintaining cell viability. Brief suggestions for useful microscope accessories as well as available fluorescence tools are also presented. Finally, a flow chart is provided to assist readers in choosing the appropriate imaging platform for their experimental systems. Supplementary material available online at

Measuring protein interactions is key to understanding cell signaling mechanisms, but quantitative analysis of these interactions in situ has remained a major challenge. Here, we present spatial intensity distribution analysis (SpIDA), an analysis technique for image data obtained using standard fluorescence microscopy. SpIDA directly measures fluorescent macromolecule densities and oligomerization states sampled within single images. The method is based on fitting intensity histograms calculated from images to obtain density maps of fluorescent molecules and their quantal brightness. Because spatial distributions are acquired by imaging, SpIDA can be applied to the analysis of images of chemically fixed tissue as well as live cells. However, the technique does not rely on spatial correlations, freeing it from biases caused by subcellular compartmentalization and heterogeneity within tissue samples. Analysis of computer-based simulations and immunocytochemically stained GABA B receptors in spinal cord samples shows that the approach yields accurate measurements over a broader range of densities than established procedures. SpIDA is applicable to sampling within small areas (6 μm 2 ) and reveals the presence of monomers and dimers with single-dye labeling. Finally, using GFP-tagged receptor subunits, we show that SpIDA can resolve dynamic changes in receptor oligomerization in live cells. The advantages and greater versatility of SpIDA over current techniques open the door to quantificative studies of protein interactions in native tissue using standard fluorescence microscopy.homodimerization | quantitative immunocytochemistry | fluorescence fluctuations analysis | GABAB | EGF receptor

Semiconductor nanocrystals (quantum dots) have been increasingly employed in measuring the dynamic behavior of biomacromolecules using fluorescence correlation spectroscopy. This poses a challenge, because quantum dots display their own dynamic behavior in the form of intermittent photoluminescence, also known as blinking. In this review, the manifestation of blinking in correlation spectroscopy will be explored, preceded by an examination of quantum dot blinking in general.

Two-photon excitation fluorescence cross-correlation spectroscopy (TPE-XCS) is a very suitable method for studying interactions of two distinctly labeled fluorescent molecules. As such, it lends itself nicely to the study of ligand-receptor interactions. By labeling the ligand with one color of fluorescent dye and the receptor with another, it is possible to directly monitor ligand binding rather than inferring binding by monitoring downstream effects. One challenge of the TPE-XCS approach is that of separating the signal due to the receptor from that of the ligand. Using standard organic fluorescent labels there is almost inevitably spectral cross talk between the detection channels, which must be accounted for in TPE-XCS data analysis. However, using quantum dots as labels for both ligand and receptor this limitation can be alleviated, because of the dot's narrower emission spectra. Using solely quantum dots as fluorescent labels is a novel approach to TPE-XCS, which may be generalizable to many pairs of interacting biomolecules after the proof of principle and the assessment of limitations presented here. Moreover, it is essential that relevant pharmacological parameters such as the equilibrium dissociation constant, K(d), can be easily extracted from the XCS data with minimal processing. Herein, we present a modified expression for fractional occupancy based on the auto- and cross-correlation decays obtained from a well-defined ligand-receptor system. Nanocrystalline semiconductor quantum dots functionalized with biotin (lambda(em) = 605 nm) and streptavidin (lambda(em) = 525 nm) were used for which an average K(d) value of 0.30 +/- 0.04 x 10(-9) M was obtained (cf. native system approximately 10(-15)). Additionally, the off-rate coefficient (k(off)) for dissociation of the two quantum dots was determined as 5 x 10(-5) s(-1). This off-rate is slightly larger than for native biotin-streptavidin (5 x 10(-6) s(-1)); the bulky nature of the quantum dots and restricted motion/orientation of functionalized dots in solution can account for differences in the streptavidin-biotin mediated dot-dot binding compared with those for native streptavidin-biotin.

Cell signaling involves dynamic changes in protein oligomerization leading to the formation of different signaling complexes and modulation of activity. Spatial intensity distribution analysis (SpIDA) is an image analysis method that can directly measure oligomerization and trafficking of endogenous proteins in single cells. Here, we show the use of SpIDA to quantify dimerization/ activation and surface transport of receptor protein kinases-EGF receptor and TrkB-at early stages of their transactivation by several G protein-coupled receptors (GPCRs). Transactivation occurred on the same timescale and was directly limited by GPCR activation but independent of G-protein coupling types. Early receptor protein kinase transactivation and internalization were not interdependent for all receptor pairs tested, revealing heterogeneity between groups of GPCRs. SpIDA also detected transactivation of TrkB by dopamine receptors in intact neurons. By allowing for time and space resolved quantification of protein populations with heterogeneous oligomeric states, SpIDA provides a unique approach to undertake single cell multivariate quantification of signaling processes involving changes in protein interactions, trafficking, and activity.high content analysis | oligomers | monoamine | N-acetyl cystein | brain-derived neurotrophic factor C ell surface receptor signaling involves dynamic spatial and temporal changes in protein oligomeric states, resulting in an intricate choreography of protein-protein interactions balanced with changes in receptor trafficking. For instance, activation of receptor tyrosine kinases (RTKs) by their cognate ligands enhances receptor dimer formation, internalization, and recruitment of monomeric receptors to the cell surface (1). Furthermore, RTKs can also be transactivated by G protein-coupled receptors (GPCRs) under certain circumstances (2-4). However, little is known about the dynamic effects of transactivation on RTK dimerization and surface trafficking. Indeed, the majority of research directed to understanding transactivation has been limited to biochemical assays (2-4) and provides limited information on the dynamics and/or spatial localization of this process within specific regions/compartments of cells/tissue.Understanding receptor dynamics requires methods that can be applied to cells or tissue under physiologically relevant, nonsteady state conditions. Spatial intensity distribution analysis (SpIDA) is a method based on the fitting of fluorescence intensity histograms calculated from conventional laser-scanning confocal images to monitor protein oligomerization in live or fixed cells and tissues (5). By directly monitoring early interactions between endogenous proteins in single cells rather than relying on the detection of downstream signaling molecules, SpIDA potentially offers several advantages over conventional assays used to study cell surface receptor distributions (5). We apply SpIDA and compare it with fluorescence lifetime imaging microscopy (FLIM) to extract information about t...